<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Archiving and Interchange DTD v2.3 20070202//EN" "archivearticle.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="systematic-review" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2025.1597046</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of exercise on bone metabolism in postmenopausal women: a systematic review and meta-analysis of randomized controlled trials</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Wenhua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2870458/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Li</surname>
<given-names>Xun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2920783/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/712020/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Xiaoqiang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Graduate Education, Shandong Sport University</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Sport and Health, Shandong Sport University</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>School of Physical Education, Shandong University</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2557848/overview">Yufeng Zhang</ext-link>, Tianjin Medical University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1146842/overview">Lin Wang</ext-link>, Wuhan University of Technology, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3076092/overview">Liang Tan</ext-link>, Gdansk University of Physical Education and Sport, Poland</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiaoqiang Wang, <email xlink:href="mailto:wangxiaoqiang_001@126.com">wangxiaoqiang_001@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1597046</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>03</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhang, Li, He and Wang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhang, Li, He and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>To assess the impact of exercise on bone metabolism in postmenopausal women through meta-analysis, and to offer evidence-based guidance for preventing and managing osteoporosis in this population.</p>
</sec>
<sec>
<title>Methods</title>
<p>We searched PubMed, Embase, and other databases using keywords such as &#x201c;exercise,&#x201d; &#x201c;postmenopausal women,&#x201d; and &#x201c;bone metabolism&#x201d; to identify randomized controlled trials published up to 2024 on the effect of exercise on bone metabolism in postmenopausal women. Studies were selected according to predefined inclusion and exclusion criteria. Data were analyzed using Review Manager 5.4 and Stata17. Study quality was assessed with the Cochrane risk-of-bias tool. Effect sizes were pooled as standardized mean differences(<italic>SMDs</italic>)with 95% confidence intervals(<italic>CIs</italic>), and heterogeneity was evaluated with the I&#xb2;statistic. A fixed-effects model was used when <italic>I&#xb2;</italic>&#x2264;50%; otherwise, a random-effects model was applied. The overall evidence certainty was rated using the Grading of recommendations assessment, development, and evaluation(GRADE)system.</p>
</sec>
<sec>
<title>Results</title>
<p>A meta-analysis of 24 studies(1067 subjects total)showed that exercise significantly elevated the levels of alkaline phosphatase(ALP)(<italic>SMD</italic> = 0.49, 95%<italic>CI</italic>: 0.21-0.77, <italic>P</italic> = 0.0006), N-terminal propeptide of type I procollagen(P1NP)(<italic>SMD</italic> = 0.62, 95% <italic>CI</italic>: 0.24 to 1.01, <italic>P</italic> = 0.002)and osteocalcin(OC)(<italic>SMD</italic> = 0.21, 95% <italic>CI</italic>: 0.05 to 0.37, <italic>P</italic> = 0.01); exercise significantly reduced the levels of parathyroid hormone(PTH)(<italic>SMD</italic>=-0.51, 95% <italic>CI</italic>: -0.77 to -0.25, <italic>P</italic> = 0.0001)and type I collagen cross-linked C-terminal peptide(CTX)(<italic>SMD</italic>=-0.32, 95% <italic>CI</italic>: -0.51to-0.12, <italic>P</italic> = 0.001). Subgroup analyses showed that aerobic exercise(<italic>SMD</italic>=-0.35, 95% <italic>CI</italic>: -0.65 to -0.06, <italic>P</italic> = 0.02) significantly reduced CTX levels, while both aerobic exercise(<italic>SMD</italic> = 0.23, 95% <italic>CI</italic>: 0.01 to 0.44, <italic>P</italic> = 0.04)and resistance exercise(<italic>SMD</italic>&#xa0;= 0.65, 95% <italic>CI</italic>: 0.10 to 1.20, <italic>P</italic> = 0.02)significantly increased OC levels. Exercise interventions lasting &#x2264;6 months(<italic>SMD</italic>=-0.45, 95% <italic>CI</italic>: -0.72 to -0.18, <italic>P</italic> = 0.001)and sessions of &#x2264;60 min(<italic>SMD</italic>=-0.48, 95% <italic>CI</italic>: -0.80 to -0.17, <italic>P</italic> = 0.003)both significantly reduced CTX levels, exercise interventions lasting &#x2264;6 months(<italic>SMD</italic> = 0.35, 95% <italic>CI</italic>: 0.13 to 0.57, <italic>P</italic> = 0.002)and sessions of &#x2264;60 min(<italic>SMD</italic> = 0.20, 95% <italic>CI</italic>: 0.01 to 0.39, <italic>P</italic> = 0.04)can significantly both increase OC levels.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Exercise significantly improves bone metabolism in postmenopausal women by reducing bone resorption and promoting bone formation. Aerobic exercise lowers CTX levels, while both aerobic and resistance exercise increase OC levels. Short-term (&#x2264;6 months) and moderate-length (&#x2264;60 minutes/session) interventions are particularly effective. However, more high-quality randomized controlled trials are needed to confirm these benefits.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<uri xlink:href="https://www.crd.york.ac.uk/">https://www.crd.york.ac.uk/</uri>, identifier CRD42024610810.</p>
</sec>
</abstract>
<kwd-group>
<kwd>exercise</kwd>
<kwd>postmenopausal women</kwd>
<kwd>bone metabolism</kwd>
<kwd>osteoporosis</kwd>
<kwd>osteopenia</kwd>
<kwd>randomized controlled trial</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="15"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="83"/>
<page-count count="23"/>
<word-count count="10764"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Bone Research</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Osteoporosis is a systemic metabolic bone disease whose main risk is fragility fracture and is recognized as a disease that seriously affects the public health of society (<xref ref-type="bibr" rid="B1">1</xref>). Numerous studies have confirmed that postmenopausal women are at high risk of developing osteoporosis, with approximately 200 million women worldwide suffering from osteoporosis after menopause. After menopause, there is destruction of the trabecular structure of the bone, which in turn leads to an increase in the brittleness of the bone and a decrease in the mechanical strength of the bone, which in turn increases the risk of fracture (<xref ref-type="bibr" rid="B2">2</xref>). With increasing age, decreased physical activity, insufficient calcium intake, decreased absorption, and decreased vitamin conversion can make bone calcium highly susceptible to absorption and migration (<xref ref-type="bibr" rid="B3">3</xref>). Therefore, it is of great practical significance to explore exercise to improve bone metabolism and prevent osteoporosis in postmenopausal women.</p>
<p>Previous studies have demonstrated that exercise improves bone metabolism in postmenopausal women, thereby effectively preventing and treating osteoporosis (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). The effect of exercise on bone metabolism in postmenopausal women has been a hot research topic. Exercise can improve bone metabolism by stimulating the secretion of growth factors by bone cells, promoting blood circulation in the skeletal system, and accelerating the absorption and metabolism of nutrients (<xref ref-type="bibr" rid="B6">6</xref>). Additionally exercise can stimulate adaptive changes in the skeletal system by increasing muscle loading, increasing bone density and bone strength and thus improving bone health (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>The effects of exercise on bone health in postmenopausal women have been reviewed with a focus on bone mineral density (BMD) (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>), which is the most commonly used metric for assessing bone health and reflects a relatively static bone mass status (<xref ref-type="bibr" rid="B11">11</xref>). BMD does not fully reflect bone metabolism, and in order to overcome this limitation and to understand the dynamic response to bone remodeling with exercise, bone metabolism markers are therefore used as dynamic indicators to evaluate bone remodeling (<xref ref-type="bibr" rid="B11">11</xref>). In addition, as bone metabolism increases with age, the potential clinical application of these markers could assess fracture risk and measure bone health in postmenopausal women (<xref ref-type="bibr" rid="B12">12</xref>). This article reviews the relevant studies on the changes in various bone metabolism indicators in postmenopausal women after various interventions such as aerobic exercise, resistance exercise, impact exercise, Tai Chi, whole-body vibration training, and combined exercise. Meta analysis is conducted on the outcome indicators to compare the effects of exercise on bone metabolism, providing a theoretical basis for postmenopausal women to exercise scientifically to prevent and treat osteoporotic fractures.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Protocol and registration</title>
<p>This comprehensive systematic review and meta-analysis followed the guidelines outlined in the Preferred Reporting Items&#xa0;for Systematic Reviews and Meta-Analyses (PRISMA) (<xref ref-type="bibr" rid="B13">13</xref>)&#xa0;(<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>). This study was registered with the&#xa0;PROSPERO platform under the registration number: CRD42024610810 (<ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/">https://www.crd.york.ac.uk/</ext-link>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Search strategy</title>
<p>The first author conducted the search from November 6 to 8, 2024. The databases Retrieved November 2024 by the first author. PubMed, Embase, Cochrane Library, Web of Science, Scopus and Google Scholar were searched. Randomized controlled trials (RCTs) on the effects of aerobic and resistance exercise on bone metabolism in middle-aged and elderly people were searched in each database. The search terms included &#x201c;Exercise, physical exercise, postmenopausal women, osteoporosis, low bone mass, bone metabolism, randomized controlled trial&#x201d;. To identify more potential studies, we manually searched gray literature, reference lists of identified studies, and relevant registration website (ClinicalTrials.gov) and consulted experts in this field. however, due to the lack of standardized peer-review processes and limited accessibility of detailed data, we decided to exclude gray literature from our analysis. The full search strategies for all databases are shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Inclusion and exclusion criteria for the studies</title>
<p>Inclusion criteria: Inclusion criteria: (i) Study type: RCTs on the effects of exercise on bone metabolism in middle-aged and older adults that have been published in various databases from the time of their construction to November 6, 2024. Only peer-reviewed articles published in English were included to ensure methodological quality and accessibility of data; (ii) Study subjects: postmenopausal women aged &#x2265;45 years. In this study, &#x201c;postmenopausal&#x201d; was defined as a serum follicle-stimulating hormone (FSH) level &gt;25&#x2013;30 IU/L, natural amenorrhea for &gt;12 months, or explicit mention in the literature that the participants were in the postmenopausal stage. (iii) Intervention: any form of physical exercise (which refers to the cultural activities in which participants are physically active through the importance of physical exercise with the purpose of strengthening their physical fitness and improving their health), and the intervention group was based on Physical exercise is the focus of the intervention group, and there is no requirement for the exercise mode and load volume. Control measures: the control group only carries out daily life or original physical exercise and does not receive additional exercise intervention. If the control group receives conventional treatment, the experimental group should adopt conventional treatment + exercise intervention at the same time. (iv) Out-come indicators: serum phosphorus, serum calcium, osteocalcin (OC), 25-hydroxyvitamin D (25(OH)D), alkaline phosphatase (ALP), parathyroid hormone (PTH), type I collagen carboxy-terminal peptide (CTX), N-terminal propeptide of type I procollagen (P1NP).</p>
<p>Exclusion criteria: (i) Duplicated published literature; (ii) Non-RCT; (iii) Study subjects were not postmenopausal women; (iv) Interventions did not meet the inclusion criteria and controls did not meet the inclusion criteria; and (v) Outcome metrics did not meet the outcome metrics associated with the inclusion criteria; (vi) Unpublished studies, conference abstracts, and grey literature were excluded due to the lack of complete methodological details and peer review, which may affect data reliability.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Literature screening and data extraction</title>
<p>The retrieved literature was imported into Endnote 20 software and duplicates were removed from it. Two researchers then screened the literature and extracted information based on established inclusion and exclusion criteria. If disagreements were encountered, they were discussed and resolved with a third researcher. Characteristics of included studies included authors, year of publication, country, sample size, and age (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), and characteristics of included interventions included type of exercise, frequency of exercise, exercise period, duration of a single exercise session, control exercise status, and outcome indicators (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Bone metabolism marker data were extracted as post-intervention mean and standard deviation (<italic>SD</italic>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Research characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Author (Year)</th>
<th valign="middle" rowspan="2" align="left">Country and area</th>
<th valign="middle" rowspan="2" align="left">Subject type</th>
<th valign="middle" colspan="2" align="left">Sample size (<italic>n</italic>)</th>
<th valign="middle" colspan="2" align="left">Age</th>
<th valign="middle" rowspan="2" align="left">Bone status (diagnostic criteria, measurement sites, and measurement tools)</th>
</tr>
<tr>
<th valign="middle" align="left">EG</th>
<th valign="middle" align="left">CG</th>
<th valign="middle" align="left">EG</th>
<th valign="middle" align="left">CG</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Hatori (<xref ref-type="bibr" rid="B16">16</xref>) (1993)</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">9/12</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">MG: 58 &#xb1; 5<break/>HG: 56 &#xb1; 4</td>
<td valign="middle" align="left">58 &#xb1; 8</td>
<td valign="middle" align="left">Healthy, no osteoporosis</td>
</tr>
<tr>
<td valign="middle" align="left">Nelson (<xref ref-type="bibr" rid="B17">17</xref>) (1994)</td>
<td valign="middle" align="left">United States of America</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">18</td>
<td valign="middle" align="left">61.4 &#xb1; 6.9</td>
<td valign="middle" align="left">58.9 &#xb1; 8.1</td>
<td valign="middle" align="left">Healthy, no osteoporosis</td>
</tr>
<tr>
<td valign="middle" align="left">Iwamoto (<xref ref-type="bibr" rid="B18">18</xref>) (2001)</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">65.3 &#xb1; 4.7</td>
<td valign="middle" align="left">64.9 &#xb1; 5.7</td>
<td valign="middle" align="left">Osteoporosis: BMD more than 30% below the young adult mean (in accordance with the Japanese diagnostic guidelines for osteoporosis) Measurement site: Lumbar spine (L2&#x2013;L4) BMD<break/>Measurement tool: DXA</td>
</tr>
<tr>
<td valign="middle" align="left">Ay (<xref ref-type="bibr" rid="B21">21</xref>) (2003)</td>
<td valign="middle" align="left">Turkish</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">23</td>
<td valign="middle" align="left">23</td>
<td valign="middle" align="left">54.28 &#xb1; 6.08</td>
<td valign="middle" align="left">55.11 &#xb1; 5.32</td>
<td valign="middle" align="left">Osteopenia or osteoporosis: BUA T-score &#x2264; -1<break/>Measurement site: calcaneus<break/>Measurement tool: QUS</td>
</tr>
<tr>
<td valign="middle" align="left">Wu (<xref ref-type="bibr" rid="B19">19</xref>) (2005)</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">31</td>
<td valign="middle" align="left">33</td>
<td valign="middle" align="left">54.4 &#xb1; 2.9</td>
<td valign="middle" align="left">53.8 &#xb1; 2.9</td>
<td valign="middle" align="left">Healthy, no osteoporosis</td>
</tr>
<tr>
<td valign="middle" align="left">Wu (<xref ref-type="bibr" rid="B20">20</xref>) (2006)</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">31</td>
<td valign="middle" align="left">33</td>
<td valign="middle" align="left">54.4 &#xb1; 2.9</td>
<td valign="middle" align="left">53.8 &#xb1; 2.9</td>
<td valign="middle" align="left">Healthy, no osteoporosis</td>
</tr>
<tr>
<td valign="middle" align="left">Shen (<xref ref-type="bibr" rid="B38">38</xref>) (2010)</td>
<td valign="middle" align="left">United States of America</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">44</td>
<td valign="middle" align="left">42</td>
<td valign="middle" align="left">58.3 &#xb1; 7.7</td>
<td valign="middle" align="left">57.6 &#xb1; 7.5</td>
<td valign="middle" align="left">Osteopenia: -2.5 &lt; T-score &lt; -1.0<break/>Measurement sites: Lumbar spine or hip BMD<break/>Measurement tool: DXA</td>
</tr>
<tr>
<td valign="middle" align="left">Tartibian (<xref ref-type="bibr" rid="B22">22</xref>) (2011)</td>
<td valign="middle" align="left">Iran</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">18</td>
<td valign="middle" align="left">61.4 &#xb1; 6.9</td>
<td valign="middle" align="left">58.9 &#xb1; 8.1</td>
<td valign="middle" align="left">Healthy, no osteoporosis</td>
</tr>
<tr>
<td valign="middle" align="left">Wayne (<xref ref-type="bibr" rid="B37">37</xref>) (2012)</td>
<td valign="middle" align="left">United States of America</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">43/26</td>
<td valign="middle" align="left">43</td>
<td valign="middle" align="left">58.8 &#xb1; 5.5/<break/>59.1 &#xb1; 4.9</td>
<td valign="middle" align="left">60.4 &#xb1; 5.3</td>
<td valign="middle" align="left">Osteopenia: -2.5 &lt; T-score &lt; -1.0<break/>Measurement sites: lumbar spine (L1&#x2013;L4), femoral neck, and total hip BMD<break/>Measurement tool: DXA</td>
</tr>
<tr>
<td valign="middle" align="left">Bergstr&#xf6;m (<xref ref-type="bibr" rid="B23">23</xref>) (2012)</td>
<td valign="middle" align="left">Sweden</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">48</td>
<td valign="middle" align="left">44</td>
<td valign="middle" align="left">58.9 &#xb1; 4.3</td>
<td valign="middle" align="left">59.6 &#xb1; 3.6</td>
<td valign="middle" align="left">Osteopenia: -2.5 &lt; T-score &lt; -1.0<break/>Measurement sites: hip or spine BMD<break/>Measurement tool: DXA</td>
</tr>
<tr>
<td valign="middle" align="left">Baset (<xref ref-type="bibr" rid="B24">24</xref>) (2013)</td>
<td valign="middle" align="left">Turkey</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">SG: 55.9 &#xb1; 4.9<break/>HIG: 55.6 &#xb1; 2.9</td>
<td valign="middle" align="left">56.2 &#xb1; 4.0</td>
<td valign="middle" align="left">Osteopenia: -2.5 &lt; T-score &lt; -1.0<break/>Measurement sites: Lumbar spine (L<sub>1</sub>-L<sub>4</sub>) or femoral neck BMD<break/>Measurement tool: DXA</td>
</tr>
<tr>
<td valign="middle" align="left">Mosti (<xref ref-type="bibr" rid="B25">25</xref>) (2013)</td>
<td valign="middle" align="left">Norway</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">61.9 &#xb1; 5.0</td>
<td valign="middle" align="left">66.7 &#xb1; 7.4</td>
<td valign="middle" align="left">Osteoporosis: T-score &#x2264; -2.5; Osteopenia: -2.5 &lt; T-score &lt; -1.0<break/>Measurement sites: Lumbar spine (L1&#x2013;L4), femoral neck, and total hip BMD<break/>Measurement tool: DXA</td>
</tr>
<tr>
<td valign="middle" align="left">Roghani (<xref ref-type="bibr" rid="B26">26</xref>) (2013)</td>
<td valign="middle" align="left">Iran</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">8/9</td>
<td valign="middle" align="left">10</td>
<td valign="middle" colspan="2" align="left">45-65</td>
<td valign="middle" align="left">Osteoporosis: T-score &#x2264; -2.5<break/>Measurement sites: lumbar spine or hip BMD<break/>Measurement tool: DXA</td>
</tr>
<tr>
<td valign="middle" align="left">Pernambuco (<xref ref-type="bibr" rid="B27">27</xref>) (2013)</td>
<td valign="middle" align="left">Brazil</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">31</td>
<td valign="middle" colspan="2" align="left">66.8 &#xb1; 4.2</td>
<td valign="middle" align="left">Normal bone mass: T-score &#x2265; -1.0; osteoporosis: BMD T-score &#x2264; -2.5; osteopenia: -2.5 &lt; T-score &lt; -1.0<break/>Measurement sites: lumbar spine (L<sub>2</sub>&#x2013;L<sub>4</sub>) and total hip BMD<break/>Measurement tool: DXA</td>
</tr>
<tr>
<td valign="middle" align="left">Moreira (<xref ref-type="bibr" rid="B28">28</xref>) (2014)</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">59</td>
<td valign="middle" align="left">41</td>
<td valign="middle" align="left">58.6 &#xb1; 6.71</td>
<td valign="middle" align="left">59.3 &#xb1; 6.07</td>
<td valign="middle" align="left">Normal bone mass: T-score &#x2265; -1.0; Osteopenia: -2.5 &lt; T-score &lt; -1.0; Osteoporosis: T-score &#x2264; -2.5<break/>Measurement sites: lumbar spine (L<sub>1</sub>&#x2013;L<sub>4</sub>), femoral neck, trochanter, total hip, and whole-body BMD<break/>Measurement tool: DXA</td>
</tr>
<tr>
<td valign="middle" align="left">Wen (<xref ref-type="bibr" rid="B6">6</xref>) (2017)</td>
<td valign="middle" align="left">China, Taiwan</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">57.5 &#xb1; 3.5</td>
<td valign="middle" align="left">58.8 &#xb1; 3.2</td>
<td valign="middle" align="left">Osteopenia: T-score &#x2264; -1.0; Osteoporosis: T-score &#x2264; -2.5<break/>Measurement sites: lumbar spine, hip, and whole-body BMD<break/>Measurement tool: DXA</td>
</tr>
<tr>
<td valign="middle" align="left">Baker (<xref ref-type="bibr" rid="B29">29</xref>) (2018)</td>
<td valign="middle" align="left">Australia</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">17</td>
<td valign="middle" align="left">61.6 &#xb1; 9.2</td>
<td valign="middle" align="left">61.6 &#xb1; 7.8</td>
<td valign="middle" align="left">Only 4 participants (12.9%) met the criteria for osteoporosis (T-score &#x2264; &#x2212;2.5)</td>
</tr>
<tr>
<td valign="middle" align="left">Sen (<xref ref-type="bibr" rid="B30">30</xref>) (2020)</td>
<td valign="middle" align="left">Turkey</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">18</td>
<td valign="middle" align="left">WG: 55.0 &#xb1; 4.6<break/>HIG: 53.1 &#xb1; 4.4</td>
<td valign="middle" align="left">54.5 &#xb1; 6.0</td>
<td valign="middle" align="left">The BMD T-score at the lumbar spine (L<sub>1</sub>&#x2013;L<sub>4</sub> or L<sub>2</sub>&#x2013;L<sub>4</sub>) and/or femoral neck and total hip ranges from -2.0 to -3.0, meeting the diagnostic criteria for osteopenia or osteoporosis (according to WHO standards: T-score &#x2264; -2.5 indicates osteoporosis, and -1.0 to -2.5 indicates low bone mass/osteopenia)</td>
</tr>
<tr>
<td valign="middle" align="left">Linero (<xref ref-type="bibr" rid="B31">31</xref>) (2021)</td>
<td valign="middle" align="left">South Korea</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">7/6/6</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">MHIRT: 56.43 &#xb1; 0.72<break/>LIBFR: 55.71 &#xb1; 0.52<break/>LIRT: 56.50 &#xb1; 0.99</td>
<td valign="middle" align="left">56.83 &#xb1; 0.70</td>
<td valign="middle" align="left">Osteoporosis: T-score &#x2264; -2.5; Osteopenia: -2.5 &lt; T-score &lt; -1.0<break/>Measurement sites: lumbar spine or femoral neck BMD<break/>Measurement tool: DXA</td>
</tr>
<tr>
<td valign="middle" align="left">Pereira (<xref ref-type="bibr" rid="B32">32</xref>) (2021)</td>
<td valign="middle" align="left">Portugal</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">41</td>
<td valign="middle" align="left">26</td>
<td valign="middle" align="left">67.3 &#xb1; 6.5</td>
<td valign="middle" align="left">69.9 &#xb1; 5.4</td>
<td valign="middle" align="left">Healthy, no osteoporosis</td>
</tr>
<tr>
<td valign="middle" align="left">Kim (<xref ref-type="bibr" rid="B33">33</xref>) (2022)</td>
<td valign="middle" align="left">South Korea</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">81.14 &#xb1; 3.98</td>
<td valign="middle" align="left">80.80 &#xb1; 2.37</td>
<td valign="middle" align="left">NR</td>
</tr>
<tr>
<td valign="middle" align="left">Zaravar (<xref ref-type="bibr" rid="B34">34</xref>) (2024)</td>
<td valign="middle" align="left">Iran</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">65.100 &#xb1; 3.478</td>
<td valign="middle" align="left">66.400 &#xb1; 3.238</td>
<td valign="middle" align="left">The mean baseline BMD (0.517&#x2013;0.585 g/cm&#xb2;) was significantly lower than that of healthy young adults. Based on the baseline BMD values, the participants were diagnosed with osteopenia or osteoporosis</td>
</tr>
<tr>
<td valign="middle" align="left">Guzel (<xref ref-type="bibr" rid="B35">35</xref>) (2024)</td>
<td valign="middle" align="left">Turkey</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">55.67 &#xb1; 3.44</td>
<td valign="middle" align="left">54.42 &#xb1; 4.01</td>
<td valign="middle" align="left">Healthy, no osteoporosis</td>
</tr>
<tr>
<td valign="middle" align="left">Pasa (<xref ref-type="bibr" rid="B36">36</xref>) (2024)</td>
<td valign="middle" align="left">Indonesia</td>
<td valign="middle" align="left">Post-menopausal women</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">14</td>
<td valign="middle" colspan="2" align="left">45-69</td>
<td valign="middle" align="left">According to the guidelines of the World Health Organization (WHO) and the International Society for Clinical Densitometry (ISCD, 2023), BMD T-scores are classified as follows: Normal bone mass: T-score &#x2265; -1; Osteopenia: -2.5 &lt; T-score &lt; -1; Osteoporosis: T-score &#x2264; -2.5<break/>Measurement device: Sonost 3000 densitometer<break/>Measurement site: calcaneus</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>EG, exercise group; CG, control group; HG, high intensity group; MG, moderate intensity group; WG, whole-body vibration (WBV); SG, strength training group; HIG, high impact training group; QUS, quantitative ultrasound; BUA, broadband ultrasound attenuation; DXA, dual-energy X-ray absorptiometry; BMD, bone mineral density; MHIRT, moderate to high-intensity resistance training; LIBFR, low-intensity resistance training with blood flow restriction; LIRT, low-intensity resistance training.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Characterization of research interventions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Athor</th>
<th valign="middle" align="left">Interventions</th>
<th valign="middle" align="left">Frequency of intervention</th>
<th valign="middle" align="left">Intervention cycle</th>
<th valign="middle" align="left">Duration of one intervention</th>
<th valign="middle" align="left">Exercise status of the control group during the trial</th>
<th valign="middle" align="left">Outcome measures (units, baseline ranges, measurement methods)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Hatori (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="middle" align="left">Walking</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">7 months</td>
<td valign="middle" align="left">30 minutes</td>
<td valign="middle" align="left">Not undertaking a specific exercise program</td>
<td valign="middle" align="left">Baseline ranges:<break/>Ca (mg/dL): 9.0&#xa0;&#xb1;&#xa0;0.2 (CG), 9.2&#xa0;&#xb1;&#xa0;0.4 (MG), 9.4&#xa0;&#xb1;&#xa0;0.5 (HG)<break/>P (ng/mL): 3.6&#xa0;&#xb1;&#xa0;0.3 (CG), 3.5&#xa0;&#xb1;&#xa0;0.3 (MG), 3.7&#xa0;&#xb1;&#xa0;0.5 (HG)<break/>OC (ng/mL): 11.8&#xa0;&#xb1;&#xa0;2.6 (CG), 12.0&#xa0;&#xb1;&#xa0;2.3 (MG), 11.6&#xa0;&#xb1;&#xa0;2.4 (HG)<break/>ALP (U/L): 167&#xa0;&#xb1;&#xa0;29 (CG), 177&#xa0;&#xb1;&#xa0;30 (MG), 196&#xa0;&#xb1;&#xa0;37 (HG)<break/>Measurement methods: OC was measured by RIA; Ca, P, and ALP were measured using automated methods</td>
</tr>
<tr>
<td valign="middle" align="left">Nelson (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="middle" align="left">High-intensity strength training</td>
<td valign="middle" align="left">2 times/week</td>
<td valign="middle" align="left">1year</td>
<td valign="middle" align="left">45 minutes</td>
<td valign="middle" align="left">No strength training program</td>
<td valign="middle" align="left">Baseline ranges:<break/>OC (nmol/L): 1.163 &#xb1; 0.224 (CG), 1.094 &#xb1; 0.245 (EG)<break/>25(OH)D (nmol/L): 79.8 &#xb1; 27.5 (CG), 68.3 &#xb1; 25.2 (EG)<break/>PTH (pmol/L): 2.853 &#xb1; 0.851 (CG), 2.855 &#xb1; 1.011 (EG)<break/>Measurement methods: OC and PTH were measured using IRMA, and 25(OH)D was measured using Competitive Protein-Binding Analysis</td>
</tr>
<tr>
<td valign="middle" align="left">Iwamoto (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="middle" align="left">Brisk walking and gymnastic exercises</td>
<td valign="middle" align="left">NR</td>
<td valign="middle" align="left">2 years</td>
<td valign="middle" align="left">NR</td>
<td valign="middle" align="left">Daily activities only, no additional exercise interventions</td>
<td valign="middle" align="left">Baseline ranges:<break/>Ca (mg/dl): 9.4 &#xb1; 0.4 (EG), 9.3 &#xb1; 0.4 (CG)<break/>P (mg/dl): 3.6 &#xb1; 0.4 (EG), 3.5 &#xb1; 0.4 (CG)<break/>ALP (IU/l): 214 &#xb1; 69 (EG), 216 &#xb1; 52 (CG)<break/>Measurement method: Ca, P, and ALP were measured using standard automated laboratory techniques</td>
</tr>
<tr>
<td valign="middle" align="left">Ay (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="middle" align="left">Aquatic aerobics exercises</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">6 months</td>
<td valign="middle" align="left">45 minutes</td>
<td valign="middle" align="left">The control group was asked to maintain their sedentary lifestyle throughout the study period</td>
<td valign="middle" align="left">Baseline ranges:<break/>PTH (pg/mL): 72.68 &#xb1; 47.01 (EG), 68.89 &#xb1; 25.34 (CG).<break/>Measurement method: Iodine-125 RIA</td>
</tr>
<tr>
<td valign="middle" align="left">Wu (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="middle" align="left">Walking</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">24 weeks</td>
<td valign="middle" align="left">45 minutes</td>
<td valign="middle" align="left">No additional exercise intervention</td>
<td valign="middle" align="left">Baseline ranges:<break/>OC (ng/mL): 9.50 &#xb1; 2.42 (EG), 9.23 &#xb1; 2.09 (CG)<break/>Measurement method: Sandwich enzyme immunoassay using polyclonal antibodies</td>
</tr>
<tr>
<td valign="middle" align="left">Wu (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="middle" align="left">Walking</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">1 year</td>
<td valign="middle" align="left">45 minutes</td>
<td valign="middle" align="left">No additional exercise intervention</td>
<td valign="middle" align="left">Baseline ranges:<break/>OC (ng/mL): 9.50 &#xb1; 2.42 (EG), 9.23 &#xb1; 2.09 (CG)<break/>Measurement method: Sandwich enzyme immunoassay using polyclonal antibodies</td>
</tr>
<tr>
<td valign="middle" align="left">Shen (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="middle" align="left">Tai Chi</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">24 weeks</td>
<td valign="middle" align="left">60 minutes</td>
<td valign="middle" align="left">Placebo, no additional exercise intervention</td>
<td valign="middle" align="left">Baseline ranges:<break/>P (mg/dl): 3.7 &#xb1; 0.5 (EG and CG), 3.7 &#xb1; 0.5 (CG)<break/>Ca (mg/dl): 9.4 &#xb1; 0.2 (EG), 9.4 &#xb1; 0.4 (CG)<break/>ALP (U/L): 81.6 &#xb1; 20.1 (EG), 75.3 &#xb1; 18.6 (CG)<break/>Detection method: NR</td>
</tr>
<tr>
<td valign="middle" align="left">Tartibian (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="middle" align="left">Walking and running exercises</td>
<td valign="middle" align="left">3&#x2013;4 times/week</td>
<td valign="middle" align="left">12/24 weeks</td>
<td valign="middle" align="left">25&#x2013;30 minutes</td>
<td valign="middle" align="left">Daily activities only, no additional exercise interventions</td>
<td valign="middle" align="left">Baseline ranges:<break/>P (mg/dL): 3.8 &#xb1; 0.5 (EG), 3.6 &#xb1; 0.6 (CG)<break/>Ca (mg/dL): 9.5 &#xb1; 0.7 (EG), 9.3 &#xb1; 0.7 (CG)<break/>CTX (ng/mL): 0.5 &#xb1; 0.1 (EG and CG)<break/>25(OH)D (pg/mL): 41.5 &#xb1; 21.9 (EG), 42.3 &#xb1; 20.6 (CG)<break/>PTH (pg/mL): 92.5 &#xb1; 46.6 (EG), 94.9 &#xb1; 46.6 (CG)<break/>OC (ng/mL): 25.8 &#xb1; 8.4 (EG), 24.4 &#xb1; 7.7 (CG)<break/>Measurement methods: CTX and OC were measured using ELISA, 25(OH)D by Radioreceptor Assay, PTH by Electrochemiluminescent Method<break/>P, Ca: NR</td>
</tr>
<tr>
<td valign="middle" align="left">Wayne (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="middle" align="left">Tai Chi</td>
<td valign="middle" align="left">4 times/week</td>
<td valign="middle" align="left">9 mouths</td>
<td valign="middle" align="left">90 minutes</td>
<td valign="middle" align="left">No designated athletic training, only routine medical care</td>
<td valign="middle" align="left">Baseline ranges:<break/>CTX (ng/mL): 0.554 &#xb1; 0.259 (Randomized to Tai Chi), 0.594 &#xb1; 0.30 (Per Protocol Tai Chi), 0.603 &#xb1; 0.231 (Randomized to Usual Care)<break/>OC (ng/mL): 16.29 &#xb1; 6.01 (Randomized to Tai Chi), 15.52 &#xb1; 4.94 (Per Protocol Tai Chi), 17.11 &#xb1; 7.02 (Randomized to Usual Care)<break/>Measurement methods: CTX was measured using ELISA, and OC was RIA</td>
</tr>
<tr>
<td valign="middle" align="left">Bergstr&#xf6;m (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="left">Aerobic exercise</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">1 year</td>
<td valign="middle" align="left">30 minutes</td>
<td valign="middle" align="left">Maintaining a sedentary lifestyle</td>
<td valign="middle" align="left">Baseline ranges:<break/>CTX (ng/l): 421 &#xb1; 142 (EG), 419 &#xb1; 166 (CG)<break/>Measurement methods: ECLIA</td>
</tr>
<tr>
<td valign="middle" align="left">Baset (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="middle" align="left">Strength Training/High Impact Training</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">6 mouths</td>
<td valign="middle" align="left">45 minutes</td>
<td valign="middle" align="left">No designated athletic training, just maintaining normal daily activities</td>
<td valign="middle" align="left">Baseline ranges:<break/>OC (ng/ml): 13.6 &#xb1; 2.4 (SG), 13.6 &#xb1; 6.0 (HG), 14.2 &#xb1; 3.4 (CG)<break/>Measurement method: ELISA</td>
</tr>
<tr>
<td valign="middle" align="left">Mosti (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="middle" align="left">Maximum Strength Squat Movement</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">12 weeks</td>
<td valign="middle" align="left">30&#x2013;40 minutes</td>
<td valign="middle" align="left">Continue their daily activities and any existing exercise habits</td>
<td valign="middle" align="left">Baseline ranges:<break/>CTX (ng/ml): 0.743 &#xb1; 0.200 (EG), 0.576 &#xb1; 0.051 (CG)<break/>P1NP (&#x3bc;g/l): 54.25 &#xb1; 15.36 (EG), 51.67 &#xb1; 12.36 (CG)<break/>Measurement methods: CTX by RIA; P1NP by Serum CrossLaps ELISA</td>
</tr>
<tr>
<td valign="middle" align="left">Roghani (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="middle" align="left">Aerobics/Aerobic + Resistance</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">6 weeks</td>
<td valign="middle" align="left">30 minutes</td>
<td valign="middle" align="left">Daily activities only, no additional exercise interventions</td>
<td valign="middle" align="left">Baseline ranges:<break/>P(mg/dl): 3.86 &#xb1; 0.40 (AG), 3.33 &#xb1; 0.43 (AG+RG), 3.79 &#xb1; 0.42 (CG)<break/>Ca (mg/dl): 9.10 &#xb1; 0.11 (AE), 8.91 &#xb1; 0.16 (AG+RG), 9.06 &#xb1; 0.38 (CG)<break/>ALP (ALP, U/L): 218.00 &#xb1; 68.32 (AG), 222.44 &#xb1; 60.96 (AG+RG), 181.50 &#xb1; 83.36 (CG)<break/>Measurement methods:<break/>P and Ca: standardized biochemical analysis<break/>ALP: ELISA</td>
</tr>
<tr>
<td valign="middle" align="left">Pernambuco (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="middle" align="left">Aquatic aerobics exercises</td>
<td valign="middle" align="left">2 times/week</td>
<td valign="middle" align="left">8 months</td>
<td valign="middle" align="left">50 minutes</td>
<td valign="middle" align="left">Daily activities only, no additional exercise interventions</td>
<td valign="middle" align="left">Baseline ranges:<break/>OC (ng/ml): 16.4 &#xb1; 7.18 (EG), 19.9 &#xb1; 5.9 (CG)<break/>Measurement method: ELISA</td>
</tr>
<tr>
<td valign="middle" align="left">Moreira (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="middle" align="left">High-intensity water exercise</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">24 weeks</td>
<td valign="middle" align="left">50&#x2013;60 minutes</td>
<td valign="middle" align="left">Daily activities only, no additional exercise interventions</td>
<td valign="middle" align="left">Baseline ranges:<break/>Ca (mg/dL): 9.61 &#xb1; 0.33 (EG), 9.50 &#xb1; 0.23 (CG)<break/>25(OH)D (nmol/L): 51.8 &#xb1; 25.2 (EG), 48.1 &#xb1; 19.6 (CG)<break/>PTH (pg/mL): 46.62 &#xb1; 15.54 (EG), 43.61 &#xb1; 15.20 (CG)<break/>CTX (ng/mL): 0.330 &#xb1; 0.159 (EG), 0.352 &#xb1; 0.182 (CG)<break/>Measurement method:<break/>Ca and 25(OH)D: IRMA<break/>PTH: Chemiluminescence immunoassay<break/>CTX: ECLIA</td>
</tr>
<tr>
<td valign="middle" align="left">Wen (<xref ref-type="bibr" rid="B6">6</xref>)</td>
<td valign="middle" align="left">Aerobic exercise</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">10 weeks</td>
<td valign="middle" align="left">90 minutes</td>
<td valign="middle" align="left">Not participating in any other regular physical activity or sport</td>
<td valign="middle" align="left">Baseline ranges:<break/>CTX (nmol/L): 0.69 &#xb1; 0.26 (EG), 0.89 &#xb1; 0.48 (CG)<break/>Measurement method: ELISA</td>
</tr>
<tr>
<td valign="middle" align="left">Baker (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="middle" align="left">Whole Body Vibration Training</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">12 weeks</td>
<td valign="middle" align="left">20 minutes</td>
<td valign="middle" align="left">No designated athletic training, only routine medical care</td>
<td valign="middle" align="left">Baseline ranges:<break/>P1NP (&#x3bc;g/L): 62.3 &#xb1; 27.0 (EG), 62.2 &#xb1; 25.3 (CG)<break/>Measurement method: NR</td>
</tr>
<tr>
<td valign="middle" align="left">Sen (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="middle" align="left">Whole Body Vibration Training/High Impact Training</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">24 weeks</td>
<td valign="middle" align="left">20&#x2013;60 minutes</td>
<td valign="middle" align="left">No designated athletic training, just maintaining normal daily activities</td>
<td valign="middle" align="left">Baseline Ranges:<break/>OC (ng/mL): 4.82 &#xb1; 1.69 (WG), 2.81 &#xb1; 1.84 (HG), 3.66 &#xb1; 2.29 (CG)<break/>CTX (ng/mL): 0.43 &#xb1; 0.23 (WG), 0.45 &#xb1; 0.20 (HG), 0.38 &#xb1; 0.20 (CG)<break/>Measurement methods:<break/>OC: Solid phase chemiluminescence<break/>CTX: ECLIA</td>
</tr>
<tr>
<td valign="middle" align="left">Linero (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="middle" align="left">Resistance exercise</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">12 weeks</td>
<td valign="middle" align="left">90 minutes</td>
<td valign="middle" align="left">No specific exercise training</td>
<td valign="middle" align="left">Baseline Ranges:<break/>CTX (ng/ml): 0.46 &#xb1; 0.10 (MHIRT),0.52 &#xb1; 0.07 (MHIRT), 0.40 &#xb1; 0.05 (LIRT)<break/>Measurement method:<break/>ECLIA</td>
</tr>
<tr>
<td valign="middle" align="left">Pereira (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="middle" align="left">Handball exercise</td>
<td valign="middle" align="left">2&#x2013;3 times/week</td>
<td valign="middle" align="left">16 weeks</td>
<td valign="middle" align="left">60 minutes</td>
<td valign="middle" align="left">Daily activities only, no additional exercise interventions</td>
<td valign="middle" align="left">Baseline ranges:<break/>OC (&#x3bc;g/L): 18.8 &#xb1; 7.1 (EG), 16.6 &#xb1; 13.1 (CG)<break/>P1NP (&#x3bc;g/L): 49.9 &#xb1; 18.9 (EG), 38.0 &#xb1; 27.5 (CG)<break/>Measurement method:<break/>Chemiluminescence method (for both OC and P1NP)</td>
</tr>
<tr>
<td valign="middle" align="left">Kim (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="middle" align="left">Aerobic + Resistance</td>
<td valign="middle" align="left">2 times/week</td>
<td valign="middle" align="left">6 months</td>
<td valign="middle" align="left">60 minutes</td>
<td valign="middle" align="left">Daily activities only, no additional exercise interventions</td>
<td valign="middle" align="left">Baseline ranges:<break/>OC (ng/mL): 8.04 &#xb1; 3.93 (EG), 9.18 &#xb1; 3.09 (CG)<break/>ALP (&#x3bc;g/L): 7.75 &#xb1; 4.47 (EG), 10.15 &#xb1; 3.91 (CG)<break/>Measurement methods:<break/>OC: Immunoassay<break/>ALP: ELISA</td>
</tr>
<tr>
<td valign="middle" align="left">Zaravar (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="middle" align="left">Aquatic aerobics exercises)</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">8 weeks</td>
<td valign="middle" align="left">60 minutes</td>
<td valign="middle" align="left">Did not train for a specific sport, but maintained their daily activities</td>
<td valign="middle" align="left">Baseline ranges:<break/>25(OH)D (ng/mL): 27.99 &#xb1; 6.540 (EG), 28.08 &#xb1; 5.995 (CG)<break/>PTH (pg/mL): 64.99 &#xb1; 14.516 (EG), 64.21 &#xb1; 16.097 (CG)<break/>Measurement methods:<break/>25(OH)D: ECLIA<break/>PTH: Commercial reagent kits</td>
</tr>
<tr>
<td valign="middle" align="left">Guzel (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="middle" align="left">Walking</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">10 weeks</td>
<td valign="middle" align="left">25&#x2013;40 minutes</td>
<td valign="middle" align="left">Maintain daily activity level without any exercise training</td>
<td valign="middle" align="left">Baseline ranges:<break/>25(OH)D (ng/mL): 18.95 &#xb1; 10.08 (EG), 16.62 &#xb1; 9.2 (CG)<break/>Measurement method: NR</td>
</tr>
<tr>
<td valign="middle" align="left">Pasa (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="middle" align="left">Walking and bone joint exercise</td>
<td valign="middle" align="left">3 times/week</td>
<td valign="middle" align="left">8 weeks</td>
<td valign="middle" align="left">30 minutes</td>
<td valign="middle" align="left">Maintain daily habits without any structured physical activity</td>
<td valign="middle" align="left">Baseline ranges:<break/>PTH (pg/mL): 151.87 &#xb1; 39.84 (Walking), 175.91 &#xb1; 57.33 (Bone Joint Exercise), 142.61 &#xb1; 26.74 (Control Group, CG)<break/>Measurement method: ELISA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>EG, exercise group; CG, control group; HG, high intensity group; MG, moderate intensity group; MG, moderate intensity group; WG, whole-body vibration (WBV); SG, strength training group; HIG, high impact training group; AG, aerobic exercise group; RG, resistance exercise group; RIA, radioimmunoassay; MHIRT, moderate to high-intensity resistance training; LIBFR, low-intensity resistance training with blood flow restriction; LIRT, low-intensity resistance training; IRMA, immunoradiometric Assay; ELISA, enzyme-linked immunosorbent Assay; ECLIA, electrochemiluminescence Assay; P, serum phosphorus; Ca, serum calcium; OC, osteocalcin; PTH, parathyroid hormone; ALP, alkaline phosphatase; 25(OH)D, 25-hydroxyvitamin D; CTX, type I collagen cross-linked C-terminal peptide; P1NP, N-terminal propeptide of type I procollagen; NR, not reported.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Risk of bias assessment</title>
<p>For RCTs and clinical controlled trials, the risk of bias was provided by the Review Manager 5.4 self-contained tool (<xref ref-type="bibr" rid="B14">14</xref>). Two researchers each assessed the risk of bias in the selected literature using the Cochrane Risk of Bias Assessment Tool. The assessment included randomized sequence generation, allocation concealment, blinding of investigators and subjects, blinded evaluation of study out-comes, completeness of outcome data, selective reporting and other biases. Each factor was assessed as high risk of bias, low risk of bias, or unknown risk of bias. Disagreements that arose during the assessment process were resolved through discussion.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Data analysis</title>
<p>Data were synthesized for the included outcome indicators using Review Manager 5.4 software and stata17 software. The outcome indicators of the studies included in this analysis were all continuous variables. Since all the incorporated studies were RCTs, the between-group differences at baseline should theoretically approach zero. Therefore, post-intervention values were used for the meta-analysis, and standardized mean differences (<italic>SMDs</italic>) with 95% confidence intervals (95% <italic>CIs</italic>) were selected as the effect measures for pooling the effect sizes. Statistical inferences were made through heterogeneity tests and statistical combined effect sizes. The heterogeneity test was evaluated using <italic>I<sup>2</sup>
</italic> values. In the heterogeneity test, <italic>P</italic>&gt;0.10 indicated that the heterogeneity of the literature included in this study was negligible, and <italic>P &#x2264;</italic> 0.10 indicated that the heterogeneity of the literature included in this study existed. 0&#x2264;<italic>I<sup>2</sup> &#x2264;</italic> 25% indicated that the heterogeneity was ignored, 25%&lt;<italic>I<sup>2</sup> &#x2264;</italic> 50% indicated that the inclusion of the literature existed in a mild degree, 50%&lt;<italic>I<sup>2</sup> &#x2264;</italic> 75% indicated that the inclusion of the study existed in a moderate degree, and <italic>I<sup>2</sup>
</italic>&gt;75% indicated that the inclusion of the studies had high heterogeneity. Literature with moderate to high heterogeneity was analyzed using a random effects model, while literature with mild or negligible heterogeneity was analyzed using a fixed effects model.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Subgroup analysis</title>
<p>Subgroup analyses of OC and CTX were conducted according to exercise type, intervention period (&#x2264;6 months <italic>vs</italic>. &gt;6 months), and session duration (&#x2264;60 minutes <italic>vs</italic>. &gt;60 minutes). Due to the limited number of studies, subgroup analyses were not performed for other bone metabolism markers. In addition, because exercise intensity was inconsistently defined across trials (e.g., based on heart rate, load percentage, or perceived exertion) and only a few studies provided sufficient data, we did not conduct subgroup analyses by intensity.</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Sensitivity analysis</title>
<p>We performed sensitivity analysis by eliminating studies one by one to verify the robustness of the results.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Publication bias</title>
<p>We used a funnel plot and Egger&#x2019;s test to detect publication bias when &#x2265;10 studies with the same outcome were included in the analysis.</p>
</sec>
<sec id="s2_10">
<label>2.10</label>
<title>Certainty of evidence</title>
<p>We applied the Grading of recommendations assessment, development, and evaluation (GRADE) system to assess the certainty of evidence. Each outcome was evaluated from the following six aspects: study design, risk of bias, inconsistency, indirectness, imprecision and other considerations. Then the certainty of evidence was accordingly graded as &#x201c;high&#x201d;, &#x201c;moderate&#x201d;, &#x201c;low&#x201d;, or &#x201c;very low&#x201d; (<xref ref-type="bibr" rid="B15">15</xref>). GRADE pro GDT online tool was used to present the summary of findings.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1" sec-type="results">
<label>3.1</label>
<title>Results of literature screening</title>
<p>The initial screening identified 1653 articles, including 331 articles in PubMed database, 365 articles in Embase database, 278 articles in Cochrane Library database, 225 articles in Web of Science database, 178 articles in Scopus database, and 276 articles in Google Scholar database. We obtained 835 articles by de-weighting with EndNote 20 software, excluded 751 articles after reading the titles and abstracts, excluded 7 articles with low relevance, and read through the full text of the remaining 84 articles to assess whether to include them. Among them, 13 interventions did not match the target group, 9 controls did not meet the criteria, 15 interventions did not meet the inclusion criteria, 12 outcome indicators did not match, 7 had no control, and 4 were unable to extract data, and finally, the remaining 24 papers (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>) were included in the Meta-analysis. (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>PRISMA study flow diagram.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating the study selection process. Initially, 1,658 records were identified through databases: PubMed, Embase, Cochrane, Web of Science, Scopus, Google Scholar, and ClinicalTrials.gov. Two additional records were found through hand searching. After removing duplicates, 835 records were screened. Of these, 751 were excluded based on title and abstract. Eighty-four full-text articles were assessed, with 60 excluded for various reasons. Ultimately, 24 studies were included in the qualitative and quantitative synthesis.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Characteristics of the included studies</title>
<p>A total of 24 papers published between 1993&#x2013;2024 were included in this study, and the total number of subjects was 1067 (575 in the experimental group and 492 in the control group), aged 45 years or older. Among the countries of publication, five articles were published in Japan (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B28">28</xref>), four in Turkey (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B35">35</xref>), three in Iran (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B34">34</xref>), three in the United States (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>), one in Brazil (<xref ref-type="bibr" rid="B27">27</xref>), one in Sweden (<xref ref-type="bibr" rid="B23">23</xref>), one in Norway (<xref ref-type="bibr" rid="B25">25</xref>), one in Indonesia (<xref ref-type="bibr" rid="B36">36</xref>), Taiwan, China 1 article (<xref ref-type="bibr" rid="B6">6</xref>), 1 article (<xref ref-type="bibr" rid="B29">29</xref>) in Australia, and 1 article in Portugal (<xref ref-type="bibr" rid="B32">32</xref>). The intervention group included 12 articles on aerobic exercise (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B34">34</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>), 4 articles on resistance exercise (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B31">31</xref>), 3 articles on aerobic combined with resistance exercise (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B33">33</xref>), 2 articles on whole-body vibration training (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>), 2 articles on percussive exercise (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B30">30</xref>), 2 article on Tai Chi exercise (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). The intervention period was 6 weeks-2 years, the frequency of exercise was 2&#x2013;4 times/week, and the duration of exercise was 25&#x2013;90 minutes/session (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Risk of bias</title>
<p>Nine studies (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B37">37</xref>) reported the method of random sequence generation (computer-generated random numbers, variable block randomization, stratified randomization, coin tossing, urn design). One study (<xref ref-type="bibr" rid="B29">29</xref>) provided information on allocation concealment, stating that sealed opaque envelopes were used. Twenty-two studies (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>) reported the number of dropouts and losses to follow-up. Four studies (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>) conducted an intention-to-treat (ITT) analysis, while seventeen (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B37">37</xref>) performed a per-protocol (PP) analysis; four (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B34">34</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>) did not specify whether ITT or PP was applied. Four studies (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>) reported a trial registration number. In summary, since blinding is difficult to implement in exercise intervention studies, most studies were judged to be at &#x201c;high risk&#x201d; of bias. The results of the risk of bias assessment are shown in <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f3">
<bold>3</bold>
</xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Risk of bias of the included studies.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g002.tif">
<alt-text content-type="machine-generated">Bar chart illustrating risk of bias in research studies. Categories include random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other bias. Each category shows proportions of low risk (green), unclear risk (yellow), and high risk (red).</alt-text>
</graphic>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Risk of bias summary of the included studies.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g003.tif">
<alt-text content-type="machine-generated">A risk of bias summary table for various studies from Ay 2003 to Zaravar 2024. Columns represent biases: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other bias. Each cell contains a colored symbol: green plus for low risk, yellow question mark for unclear risk, and red minus for high risk.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Meta-analysis results</title>
<sec id="s3_4_1">
<label>3.4.1</label>
<title>Effect of exercise on serum phosphorus in postmenopausal women</title>
<p>There were 4 RCTs (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B38">38</xref>) on the effect of exercise on serum phosphorus in postmenopausal women. Meta-analysis showed negligible heterogeneity of the included studies in the exercise group compared to the control group (<italic>I<sup>2</sup>
</italic> = 0%, <italic>P</italic> = 0.71), so a fixed-effects model was used (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The results showed that serum phosphorus (<italic>SMD</italic> = 0.10, 95% <italic>CI</italic>: -0.18 to 0.39, <italic>P</italic> = 0.48) tended to increase in the exercise group compared to the control group but was not significant. (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plot of the effect of exercise on serum phosphorus in postmenopausal women. EG, exercise group; CG, control group; HE, high intensity exercise; ME, moderate intensity exercise; AE, aerobic exercise; RE, resistance exercise; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g004.tif">
<alt-text content-type="machine-generated">Forest plot showing a meta-analysis of seven studies comparing experimental group (EG) and control group (CG) means. Each study's mean difference, confidence interval, and weight are illustrated with squares and lines. The overall effect size is represented by a diamond at 0.10, with a confidence interval from -0.18 to 0.39. Heterogeneity is low with an I-squared of zero percent.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4_2">
<label>3.4.2</label>
<title>Effect of exercise on serum calcium in postmenopausal women</title>
<p>There were 5 RCTs (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B38">38</xref>) on the effect of exercise on serum calcium in postmenopausal women. Meta-analysis showed that the included studies could be mildly heterogeneous in the exercise group compared to the control group (<italic>I<sup>2</sup>
</italic> = 39%, <italic>P</italic> = 0.12), so a fixed-effects model was used (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The results showed that serum calcium (<italic>SMD</italic> = 0.10, 95% <italic>CI</italic>: -0.13 to 0.34, <italic>P</italic> = 0.39) tended to increase in the exercise group compared to the control group but was not significant (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Forest plot of the effect of exercise on serum calcium in postmenopausal women. EG, exercise group; CG, control group; HE, high intensity exercise; ME, moderate intensity exercise; AE, aerobic exercise; RE, resistance exercise; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g005.tif">
<alt-text content-type="machine-generated">Forest plot showing the standardized mean differences with 95% confidence intervals for eight studies comparing experimental (EG) and control groups (CG). The studies include Hatori, Moreira, Roghani, Shen, and Tartibian. Studies are represented by squares with sizes proportional to their weight, and a diamond represents the overall effect. The heterogeneity test shows Chi&#xb2; equals 11.41, degrees of freedom equals 7, I&#xb2; equals 39%, with an overall effect size of 0.10 [-0.13, 0.34]. The plot indicates no significant difference between groups.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4_3">
<label>3.4.3</label>
<title>Effect of exercise on 25(OH)D in postmenopausal women</title>
<p>There were 5 RCTs (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>) on the effect of exercise on 25(OH)D in postmenopausal women. Meta-analysis showed negligible heterogeneity in the included studies in the exercise group compared to the control group (<italic>I<sup>2</sup>
</italic> = 0%, <italic>P</italic> = 0.76), so a fixed-effects model was used (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). The results showed that serum calcium (<italic>SMD</italic> = 0.18, 95% <italic>CI</italic>: -0.04 to 0.41, <italic>P</italic> = 0.11) tended to increase in the exercise group compared to the control group but was not significant (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Forest plot of the effect of exercise on 25(OH)D in postmenopausal women. EG, exercise group; CG, control group; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g006.tif">
<alt-text content-type="machine-generated">Forest plot showing the standardized mean difference with 95% confidence intervals for six studies comparing experimental and control groups. The overall effect size is 0.18, with a confidence interval of -0.04 to 0.41. The heterogeneity test shows Chi-squared of 2.59, p-value of 0.76, and I-squared of 0%. The plot includes squares representing individual study results and a diamond for the overall effect.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4_4">
<label>3.4.4</label>
<title>Effect of exercise on PTH in postmenopausal women</title>
<p>There were 5 RCTs (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B34">34</xref>) on the effect of exercise on PTH in postmenopausal women. Meta-analysis showed that the included studies could be mildly heterogeneous in the exercise group compared to the control group (<italic>I<sup>2</sup>
</italic> = 32%, <italic>P</italic> = 0.19), so a fixed effects model was used (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). The results showed a significant decrease in PTH in the exercise group compared to the control group (<italic>SMD</italic>=-0.51, 95% <italic>CI</italic>: -0.77 to -0.25, <italic>P</italic> = 0.0001) (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Forest plot of the effect of exercise on PTH in postmenopausal women. EG, exercise group; CG, control group; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g007.tif">
<alt-text content-type="machine-generated">Forest plot illustrating the standard mean differences between experimental (EG) and control groups (CG) across seven studies. Each study's mean, standard deviation, and total participants are listed, along with weights and confidence intervals. The overall effect size is &#x2212;0.51, favoring the control group with a significant p-value of 0.0001. Heterogeneity is low, with an I-squared value of 32%.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4_5">
<label>3.4.5</label>
<title>Effect of exercise on ALP in postmenopausal women</title>
<p>There were 5 RCTs (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B38">38</xref>) on the effect of exercise on ALP in postmenopausal women. Meta-analysis showed negligible heterogeneity in the included studies in the exercise group compared to the control group (<italic>I<sup>2</sup>
</italic> = 0%, <italic>P</italic> = 0.93), so a fixed-effects model was used (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). The results showed a significant increase in ALP in the exercise group compared to the control group (<italic>SMD</italic> = 0.49, 95%<italic>CI</italic>: 0.21 to 0.77, <italic>P</italic> = 0.0006) (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Forest plot of the effect of exercise on ALP in postmenopausal women. EG, exercise group; CG, control group; HE, high intensity exercise; ME, moderate intensity exercise; AE, aerobic exercise; RE, resistance exercise; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g008.tif">
<alt-text content-type="machine-generated">Forest plot showing a meta-analysis of several studies comparing experimental (EG) and control groups (CG). Studies include Hatori (1993), Iwamoto (2001), Kim (2022), Roghani (2013), and Shen (2010). The standardized mean differences range from 0.11 to 0.86, with a pooled effect size of 0.49 [95% CI: 0.21, 0.77]. Weight percentages and heterogeneity statistics are provided, indicating low heterogeneity (I&#xb2; = 0%). The overall effect is statistically significant (P = 0.0006).</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4_6">
<label>3.4.6</label>
<title>Effect of exercise on P1NP in postmenopausal women</title>
<p>There were 3 RCTs (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B32">32</xref>) on the effect of exercise on P1NP in postmenopausal women. Meta-analysis showed negligible heterogeneity in the included studies in the exercise group compared to the control group (<italic>I<sup>2</sup>
</italic> = 13%, <italic>P</italic> = 0.32), so a fixed-effects model was used (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>). The results showed a significant increase in P1NP in the exercise group compared to the control group (<italic>SMD</italic> = 0.62, 95% <italic>CI</italic>: 0.24 to 1.01, <italic>P</italic> = 0.002) (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>).</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Forest plot of the effect of exercise on P1NP in postmenopausal women. EG, exercise group; CG, control group; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g009.tif">
<alt-text content-type="machine-generated">Forest plot displaying a meta-analysis of three studies: Baker 2018, Mosti 2013, and Pereira 2021. Each study compares means and standard deviations between experimental (EG) and control groups (CG). The plot shows standardized mean differences with confidence intervals and weights. Overall, the fixed-effect model shows a mean difference of 0.62, favoring EG, with a confidence interval of [0.24, 1.01]. Heterogeneity is low with Chi&#xb2; = 2.29, df = 2, p = 0.32, and I&#xb2; = 13%. The z-test for overall effect results in Z = 3.17, p = 0.002.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4_7">
<label>3.4.7</label>
<title>Effect of exercise on CTX in postmenopausal women</title>
<p>There were 7 RCTs (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B31">31</xref>) on the effect of exercise on CTX in postmenopausal women. Meta-analysis showed moderate heterogeneity of the included studies in the exercise group compared to the control group (<italic>I<sup>2</sup>
</italic> = 35%, <italic>P</italic> = 0.12), so a fixed-effects model was used (<xref ref-type="fig" rid="f10">
<bold>Figures&#xa0;10</bold>
</xref>-<xref ref-type="fig" rid="f12">
<bold>12</bold>
</xref>). The results showed that the CTX levels in the exercise group were significantly lower than those in the control group (<italic>SMD</italic> = -0.32, 95% <italic>CI</italic>: -0.51 to -0.12, <italic>P</italic> = 0.001). The results of the subgroup analysis by exercise type showed that aerobic exercise (<italic>SMD</italic> = -0.35, 95% <italic>CI</italic>: -0.65 to -0.06, <italic>P</italic> = 0.02) significantly reduced CTX levels; resistance exercise (<italic>SMD</italic> = -0.32, 95% <italic>CI</italic>: -1.10 to 0.47, <italic>P</italic> = 0.43), combined aerobic plus resistance exercise (<italic>SMD</italic> = -0.34, 95% <italic>CI</italic>: -0.74 to 0.06, <italic>P</italic> = 0.10) and Tai Chi (<italic>SMD</italic> = -0.24, 95% <italic>CI</italic>: -0.63 to 0.15, <italic>P</italic> = 0.23) showed a trend toward reducing CTX, but without statistical significance (<xref ref-type="fig" rid="f10">
<bold>Figure&#xa0;10</bold>
</xref>). The further stratification of sample size may have resulted in smaller pooled effect sizes and an insufficient number of studies, leading to unstable statistical results and less convincing findings. The results of cycle subgroup analysis showed that exercise for &#x2264;6 months (<italic>SMD</italic>=-0.45, 95% <italic>CI</italic>: -0.72 to -0.18, <italic>P</italic> = 0.001) significantly reduced CTX levels; exercise for &gt;6 months (<italic>SMD</italic>=-0.17, 95% <italic>CI</italic>: 0.46 to 0.11, <italic>P</italic> = 0.22) had a trend to reduce CTX levels and was not significant (<xref ref-type="fig" rid="f11">
<bold>Figure&#xa0;11</bold>
</xref>). Subgroup analysis of the duration of a single exercise session showed that exercise of &#x2264;60 min (<italic>SMD</italic>=-0.48, 95% <italic>CI</italic>: -0.80 to -0.17, <italic>P</italic> = 0.003) significantly reduced CTX levels, and exercise of &gt;60 min (<italic>SMD</italic>=-0.22, 95% <italic>CI</italic>: -0.47 to 0.03, <italic>P</italic> = 0.09) had a trend to reduce CTX levels and was not significant (<xref ref-type="fig" rid="f12">
<bold>Figure&#xa0;12</bold>
</xref>).</p>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Forest plot of the effect of exercise on CTX in postmenopausal women (subgroup analysis of exercise type). EG, exercise group; CG, control group; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g010.tif">
<alt-text content-type="machine-generated">Forest plot illustrating the standardized mean differences (SMD) in various exercise studies. Categories include aerobic, resistance, combined aerobic and resistance, and Tai Chi exercises. Subtotals are shown with weighted percentages and confidence intervals. Overall, results favor the experimental group (EG) with an SMD of -0.32, indicating a minor difference against the control group (CG). Heterogeneity varies among subgroups.</alt-text>
</graphic>
</fig>
<fig id="f11" position="float">
<label>Figure&#xa0;11</label>
<caption>
<p>Forest plot of the effect of exercise on CTX in postmenopausal women (subgroup analysis of exercise cycles). EG, exercise group; CG, control group; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g011.tif">
<alt-text content-type="machine-generated">Forest plot showing standardized mean differences in a study comparing two subgroups with total participants of 266 in the experimental group and 180 in the control group. Subgroup 1 has a significant overall effect with a standardized mean difference of -0.45, 95% CI [-0.72, -0.18]. Subgroup 2 shows no significant effect, standardized mean difference of -0.17, 95% CI [-0.46, 0.11]. Overall, the study favors the experimental group with a standardized mean difference of -0.32, 95% CI [-0.51, -0.12]. Vertical line indicates no difference; squares and diamonds represent individual study effects and pooled results, respectively.</alt-text>
</graphic>
</fig>
<fig id="f12" position="float">
<label>Figure&#xa0;12</label>
<caption>
<p>Forest plot of the effect of exercise on CTX in postmenopausal women (subgroup analysis of the duration of a single exercise session). EG, exercise group; CG, control group; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g012.tif">
<alt-text content-type="machine-generated">Forest plot showing standardized mean differences and confidence intervals for studies comparing two interventions, grouped by duration of less than or greater than 60 minutes. Each study's mean, standard deviation, total, and weight are presented. Subtotals and overall totals are displayed with heterogeneity and overall effect statistics, indicating varying effects across studies.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4_8">
<label>3.4.8</label>
<title>Effect of exercise on OC in postmenopausal women</title>
<p>There were 11 RCTs (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B37">37</xref>)on the effect of exercise on OC in postmenopausal women. Meta-analysis showed moderate heterogeneity of the included studies in the exercise group compared to the control group (<italic>I<sup>2</sup>
</italic> = 14%, <italic>P</italic> = 0.29), so a fixed-effects model was used (<xref ref-type="fig" rid="f13">
<bold>Figures&#xa0;13</bold>
</xref>-<xref ref-type="fig" rid="f15">
<bold>15</bold>
</xref>). The results showed a trend of increasing OC in the exercise group compared to the control group (<italic>SMD</italic> = 0.21, 95% <italic>CI</italic>: 0.05 to 0.37, <italic>P</italic> = 0.01) and were not significant. The subgroup analysis by exercise type showed that aerobic exercise (<italic>SMD</italic> = 0.23, 95% <italic>CI</italic>: 0.01 to 0.44, <italic>P</italic> = 0.04) and resistance exercise significantly (<italic>SMD</italic> = 0.65, 95% <italic>CI</italic>: 0.10 to 1.20, <italic>P</italic> = 0.02) increased OC levels; impact exercise (<italic>SMD</italic> = 0.34, 95% <italic>CI</italic>: -0.17 to 0.85, <italic>P</italic> = 0.19), combined aerobic plus resistance exercise (<italic>SMD</italic> = 0.23, 95% <italic>CI</italic>: -0.50 to 0.96, <italic>P</italic> = 0.54), Tai Chi (<italic>SMD</italic> = -0.03, 95% <italic>CI</italic>: -0.42 to 0.35, <italic>P</italic> = 0.86) and whole body vibration training (<italic>SMD</italic> = -0.09, 95% <italic>CI</italic>: -0.69 to 0.51, <italic>P</italic> = 0.77) showed a trend toward reducing OC, but without statistical significance (<xref ref-type="fig" rid="f13">
<bold>Figure&#xa0;13</bold>
</xref>). The refinement of sample size classification may have resulted in a smaller pooled effect size, and the insufficient number of studies led to unstable statistical results, making the findings less convincing. Cycle time subgroup analysis showed that exercise &#x2264;6 months (<italic>SMD</italic> = 0.35, 95% <italic>CI</italic>: 0.13 to 0.57, <italic>P</italic> = 0.002) significantly elevated OC. exercise &gt;6 months (<italic>SMD</italic> = 0.06, 95% <italic>CI</italic>: -0.17 to 0.28, <italic>P</italic> = 0.62) showed a trend toward increasing OC levels and was not significant (<xref ref-type="fig" rid="f14">
<bold>Figure&#xa0;14</bold>
</xref>). Subgroup analysis of the duration of a single exercise session showed that exercise for &#x2264;60 min (<italic>SMD</italic> = 0.20, 95% <italic>CI</italic>: 0.01 to 0.39, <italic>P</italic> = 0.04) elevated OC content; exercise for &gt;60 min (<italic>SMD</italic>=-0.22, 95% <italic>CI</italic>: -0.07, 0.50, <italic>P</italic> = 0.13) tended to decrease OC content and was non-significant (<xref ref-type="fig" rid="f15">
<bold>Figure&#xa0;15</bold>
</xref>). 11 studies reported the effect of exercise on OC in postmenopausal women, so we assessed their publication bias. The funnel plot (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>) and Egger&#x2019;s test (<italic>P</italic>&#xa0;= 0.953) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>) showed no evidence of publication bias.</p>
<fig id="f13" position="float">
<label>Figure&#xa0;13</label>
<caption>
<p>Forest plot of the effect of exercise on OC in postmenopausal women (exercise type subgroup analysis). EG, exercise group; CG, control group; HE, high intensity exercise; ME, moderate intensity exercise; SG, strength training group; HG, high impact training group; WBV, whole body vibration; HI, high impact; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g013.tif">
<alt-text content-type="machine-generated">Forest plot of different exercise interventions on a measure, comparing experimental groups (EG) and control groups (CG) across several studies. The horizontal lines represent confidence intervals, with diamonds indicating pooled results for each subgroup and overall effects. Subgroups include aerobic, resistance, impact exercises, combined exercises, Tai Chi, and whole-body vibration training. The plot reveals mean differences, standard deviations, and weights for each study, with heterogeneity statistics provided. Overall, the total effect size indicates a slight favor towards the experimental groups.</alt-text>
</graphic>
</fig>
<fig id="f14" position="float">
<label>Figure&#xa0;14</label>
<caption>
<p>Forest plot of the effect of exercise on OC in postmenopausal women (exercise cycle subgroup analysis). EG, exercise group; CG, control group; HE, high intensity exercise; ME, moderate intensity exercise; SG, strength training group; HG, high impact training group; WBV, whole body vibration; HI, high impact; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g014.tif">
<alt-text content-type="machine-generated">Forest plot displaying a meta-analysis of studies divided into two subgroups: those with a duration of up to six months and those over six months. Each study shows the mean, standard deviation, and sample size for both experimental (EG) and control groups (CG). Confidence intervals and weights are represented alongside the standardized mean differences. A diamond indicates the overall effect size at the bottom for each subgroup and combined total, with heterogeneity and effect size significance tests. The x-axis shows a scale from negative to positive values, indicating the favorability direction for control or experimental groups.</alt-text>
</graphic>
</fig>
<fig id="f15" position="float">
<label>Figure&#xa0;15</label>
<caption>
<p>Forest plot of the effect of exercise on OC in postmenopausal women (subgroup analysis of the duration of a single exercise session). EG, exercise group; CG, control group; HE, high intensity exercise; ME, moderate intensity exercise; SG, strength training group; HG, high impact training group; WBV, whole body vibration; HI, high impact; SD, standard deviation; Std, standard; IV, inverse variance; df, degrees of freedom.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597046-g015.tif">
<alt-text content-type="machine-generated">Forest plot showing a meta-analysis of studies comparing an experimental group (EG) to a control group (CG). Studies are categorized based on session duration: &#x2264;60 minutes and &gt;60 minutes. Standardized mean differences and confidence intervals are displayed for each study, with a combined effect size for both subgroups and overall. Heterogeneity is reported with Chi&#xb2; and I&#xb2; values. Diamonds represent pooled overall effects, favoring either CG or EG, with overall effect size being slightly in favor of EG at 0.21 (95% CI: 0.05, 0.37).</alt-text>
</graphic>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Egger test results.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Std_Eff</th>
<th valign="middle" align="left">Coefficient</th>
<th valign="middle" align="left">Std. err</th>
<th valign="middle" align="left">
<italic>t</italic>
</th>
<th valign="middle" align="left">
<italic>P</italic>&gt;<italic>|t|</italic>
</th>
<th valign="middle" align="left">(95% conf. interval)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">slope</td>
<td valign="middle" align="left">.1926973</td>
<td valign="middle" align="left">.3412466</td>
<td valign="middle" align="left">0.56</td>
<td valign="middle" align="left">0.580</td>
<td valign="middle" align="left">-.5307131.9161077</td>
</tr>
<tr>
<td valign="middle" align="left">bias</td>
<td valign="middle" align="left">.0602132</td>
<td valign="middle" align="left">.9994193</td>
<td valign="middle" align="left">0.06</td>
<td valign="middle" align="left">0.953</td>
<td valign="middle" align="left">-2.058461 2.178887</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Sensitivity analysis</title>
<p>The effect sizes after each indicator were removed from the study on a study-by-study basis were within the 95%CI of the total effect size, and therefore the effect on the total combined effect size was small and acceptable, strengthening the results of the original meta-analysis and making it more convincing (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S2-S9</bold>
</xref>).</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Certainty of evidence</title>
<p>The certainty of evidence was rated as low for two outcomes (CTX and OC). The evidence of the remaining outcomes was rated as very low certainty. The reasons for downgrading were mainly attributed to the risk of bias of included studies and imprecision. The results of certainty of evidence are shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Exercise, as an effective non-pharmacological intervention, may be the main reason for the improvement of bone health since bone responds to mechanical loads and acts on the skeleton through muscular forces and ground reaction forces, which increase the density and strength of bone minerals (<xref ref-type="bibr" rid="B39">39</xref>). Exercise is widely recommended for the prevention of osteoporosis due to the osteogenic effects of these forces and the lack of side effects (<xref ref-type="bibr" rid="B39">39</xref>). To investigate the role of exercise on bone metabolism in postmenopausal women, the present study conducted a meta-analysis of relevant RCTs published to date, which is the gold standard for evaluating interventions and resides at the top of the evidence hierarchy for individual studies. The overall quality of the 24 RCTs included in the study was high, thus enhancing the reliability of the findings.</p>
<p>The results of the subgroup analysis in this study indicate that an exercise duration of &#x2264;6 months and a session length of &#x2264;60 minutes are more effective in reducing the bone resorption marker CTX, while significantly increasing the bone formation marker OC. Exercise exerts mechanical loading on bone tissue, which suppresses the secretion of sclerostin by osteocytes, thereby relieving the inhibition of the Wnt/&#x3b2;-catenin signaling pathway. This promotes the intracellular accumulation of &#x3b2;-catenin and its translocation into the nucleus, where it activates the expression of bone formation&#x2013;related genes and enhances osteogenic activity (<xref ref-type="bibr" rid="B40">40</xref>&#x2013;<xref ref-type="bibr" rid="B42">42</xref>). This pathway not only facilitates the differentiation and proliferation of osteoblasts but also upregulates osteoprotegerin expression, further inhibiting osteoclast activity and collectively shifting bone metabolism toward a state that favors bone formation (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). In addition, Bone responds to mechanical loading with rapid saturation and recovery of sensitivity: during a single training bout, a limited number of loading cycles is sufficient to trigger osteogenic signaling, and prolonging the duration or increasing the number of cycles does not proportionally enhance the bone-forming effect (<xref ref-type="bibr" rid="B44">44</xref>). Short-duration (&#x2264;60 min) and regular mechanical loading, combined with adequate rest intervals, can effectively maintain the mechanosensitive of bone cells and thereby enhance bone metabolic responses (<xref ref-type="bibr" rid="B45">45</xref>). In addition, bone turnover markers such as P1NP and CTX have been shown to change significantly within several weeks to months of exercise intervention, suggesting that an intervention period of &#x2264;6 months is sufficient to induce measurable improvements in bone metabolism (<xref ref-type="bibr" rid="B46">46</xref>). When mechanical loading is maintained in a fixed pattern over a long term, the mechanosensitive of bone cells gradually declines, leading to a &#x201c;desensitization&#x201d; phenomenon and reduced bone formation efficiency per training unit (<xref ref-type="bibr" rid="B47">47</xref>). Furthermore, long-term interventions are more likely to be affected by reduced adherence, soft tissue fatigue, hormonal fluctuations, and limited energy availability, all of which can attenuate positive adaptations in bone metabolism (<xref ref-type="bibr" rid="B48">48</xref>). Therefore, exercise prescriptions should emphasize moderate session duration, regular frequency, and periodic adjustments, rather than simply extending the intervention time, to avoid plateaus and maximize the benefits of bone remodeling.</p>
<p>In their meta-analysis on the effects of Tai Chi on bone health in postmenopausal women, Liu et&#xa0;al. selected &#x201c;6 months&#x201d; as the cutoff point for intervention duration based on the physiological rationale of the bone remodeling cycle (<xref ref-type="bibr" rid="B49">49</xref>). The bone remodeling cycle typically takes 3&#x2013;4 months to complete the sequential processes of bone resorption, formation, and mineralization, while achieving a new steady-state bone mass requires at least 6&#x2013;8 months (<xref ref-type="bibr" rid="B50">50</xref>). Therefore, a 6-month intervention period ensures coverage of a full bone metabolic cycle, allowing for a more accurate assessment of the cumulative effects of exercise on bone mineral density.</p>
<p>Most meta-analyses related to the improvement of bone health by exercise have focused on bone mineral density (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>). In contrast, there are relatively few in-depth studies on the effects of exercise on bone metabolism. The health of bone metabolism is crucial for maintaining bone strength and stability, which involves multiple aspects of bone growth, remodeling, and repair. By promoting bone metabolism, it not only enhances the stress resistance of bones and reduces the risk of fracture, but also improves the bone microstructure and enhances the overall quality of bones. Therefore, strengthening research on the relationship between exercise and bone metabolism is of great significance in preventing osteoporosis and promoting bone health. Under physiological conditions, bone resorption and bone formation maintain a dynamic balance in bone metabolism (<xref ref-type="bibr" rid="B55">55</xref>). Bone metabolism markers are metabolites produced in the process of bone transformation and play an important role in the diagnosis and treatment of osteoporosis because they can timely and accurately reflect the state of bone transformation in the human body (<xref ref-type="bibr" rid="B56">56</xref>). Bone metabolism includes two processes: bone resorption and bone formation. Bone resorption is a process in which osteoclasts break down part of the bone and form a cavity (bone resorption cavity), during which bone metabolites are formed that can enter the bloodstream or be excreted through urine, a process that lasts 4&#x2013;6 weeks (<xref ref-type="bibr" rid="B57">57</xref>). Bone formation, on the other hand, takes place in the cavity formed by bone resorption, during which molecules secreted by osteoblasts can enter the bloodstream while completing cavity ossification (<xref ref-type="bibr" rid="B58">58</xref>). Bone formation markers reflect the activity of osteoblasts, and the bone formation markers included in this exploration are OC, ALP, BALP, and P1NP.Bone resorption markers reflect the activity of osteoclasts, and the bone resorption markers included in this study are CT. It has been suggested that bone resorption may have an impact on bone health in the context of reduced or unchanged bone resorption (<xref ref-type="bibr" rid="B59">59</xref>). In terms of predicting fracture risk, bone metabolism markers have been correlated with fracture risk, with higher concentrations of bone metabolism markers being associated with greater fracture risk (<xref ref-type="bibr" rid="B12">12</xref>). Other studies have shown that bone metabolism markers are more useful in understanding the state of bone mass by their ability to capture information about bone transition state, which is the 2nd most important factor in the development of osteoporosis and the occurrence of fragility fractures, as opposed to BMD by measuring bone mass (<xref ref-type="bibr" rid="B60">60</xref>). It has also been suggested that bone metabolic markers may influence fracture risk independently of BMD (by influencing bone strength) (<xref ref-type="bibr" rid="B61">61</xref>). Bone metabolism markers have a unique advantage in monitoring therapy in that they respond rapidly to changes in bone physiology and remain relatively stable, which can help physicians to have sufficient response time to determine adjustments to treatment regimens in the event of poor efficacy, which can be particularly useful in patients with demanding treatment regimens such as bisphosphonate therapy (<xref ref-type="bibr" rid="B62">62</xref>). In conclusion, through the unremitting efforts of researchers, bone metabolism markers are becoming richer and richer, their application aspects are becoming broader and broader, and their role in the diagnosis and treatment of osteoporosis is becoming more and more prominent, but more research is needed to improve the diagnostic and therapeutic system of bone metabolism biochemical markers to be widely used in the clinic.</p>
<p>The results of the meta-analysis showed that, compared with the control group, exercise was effective in increasing the levels of bone formation markers, such as ALP, P1NP, and OC, in postmenopausal women. ALP on the other hand widely present in various tissues of the human body, serum ALP is mainly derived from liver, bone and kidney tissues, it is a marker of bone formation, and studies suggest that ALP has an important role in the pathogenesis of osteoporosis (<xref ref-type="bibr" rid="B63">63</xref>). Serum ALP levels are significantly elevated in pathological conditions, such as the occurrence of diseases of the hepatobiliary system, as well as bone diseases (<xref ref-type="bibr" rid="B64">64</xref>). The level of P1NP in the serum reflects the ability of osteoblasts to synthesize osteoclasts collagen and forms the basis of a laboratory index for monitoring osteoblast viability and bone formation (<xref ref-type="bibr" rid="B65">65</xref>). Its blood level mainly reflects the rate of type I collagen synthesis and bone conversion, and is a specific and sensitive indicator of new bone formation (<xref ref-type="bibr" rid="B66">66</xref>).The results of Kohrt et&#xa0;al. (<xref ref-type="bibr" rid="B67">67</xref>) showed that P1NP increased with exercise (P&lt;0.001), suggesting that exercise promotes the synthesis of P1NP, which, in turn, enhances osteoclast viability and promotes bone formation. OC is a protein secreted by osteoblasts secreted protein that plays an important role in maintaining bone health (<xref ref-type="bibr" rid="B68">68</xref>). Numerous studies have shown that exercise can promote osteogenic differentiation of bone marrow mesenchymal stem cells and osteoblasts, promote bone formation, improve bone metabolism, and thus prevent and control osteoporosis (<xref ref-type="bibr" rid="B69">69</xref>).OC is a key osteogenic factor in the process of bone formation, and thus exercise can promote blood circulation and metabolism in the skeleton, which may stimulate osteoblasts to secrete more OC (<xref ref-type="bibr" rid="B70">70</xref>). Exercise activates the mechanotransduction pathways in osteocytes by applying mechanical load, thereby upregulating the expression of osteogenic markers such as OC and ALP, while simultaneously inhibiting bone resorption by regulating the balance of osteoprotegerin (OPG) and receptor activator of nuclear factor &#x3ba;B ligand (RANKL). Specifically, exercise increases OPG expression and decreases RANKL expression, thereby suppressing osteoclast differentiation and activity (<xref ref-type="bibr" rid="B71">71</xref>). Animal studies have shown that treadmill and vibration training can reduce RANKL and increase OPG (<xref ref-type="bibr" rid="B72">72</xref>), and mechanical strain can directly inhibit RANKL expression (<xref ref-type="bibr" rid="B73">73</xref>).</p>
<p>The results of this study showed that exercise significantly reduced the levels of bone resorption markers such as PTH and CTX in postmenopausal women. PTH is a hormone that regulates calcium and phosphorus metabolism, and 15.6% of postmenopausal osteoporosis patients had elevated PTH. The results of the study on the correlation between osteoporosis-related hormones and bone mineral density showed that the level of serum PTH was negatively correlated with bone mineral density, which allowed early detection of osteoporosis (<xref ref-type="bibr" rid="B74">74</xref>). Its reduction by exercise may imply improve bone health in middle-aged and older adults. CTX is the most widely used marker of collagen degradation, and the level of CTX reflects the bone resorption activity of osteoclasts. CTX is a valid marker for metabolic bone diseases characterized by significantly increased osteoclast activity (<xref ref-type="bibr" rid="B75">75</xref>). CTX correlates with the degree of bone resorption and responds rapidly and sensitively to antiresorptive therapy. Detection of serum CTX levels can predict the severity of bone conversion, and serve as a clinically important reference index for assessing bone conversion-related diseases (<xref ref-type="bibr" rid="B58">58</xref>). Exercise-induced changes in PTH and CTX concentration levels are consistent with a study on the effects of bath therapy and aquatic exercise on these two hormones (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>The results also showed that exercise did not significantly affect serum phosphorus, serum calcium and 25(OH)D in postmenopausal women. Serum phosphorus and serum calcium play several important roles in bone metabolism with exercise intervention, which is involved in bone formation and repair, influences changes in bone metabolism markers, regulates acid-base balance and cellular osmotic pressure, and interacts with calcium and phosphorus (<xref ref-type="bibr" rid="B76">76</xref>&#x2013;<xref ref-type="bibr" rid="B78">78</xref>). For serum phosphorus and serum calcium, exercise may indeed have some effect on them, but the exact effect varies from person to person. Exercise promotes an increase in metabolic rate, which in turn affects the phosphorus-calcium balance in the blood (<xref ref-type="bibr" rid="B79">79</xref>). 25(OH)D is the main form of vitamin D in the body and is essential for calcium absorption and bone health (<xref ref-type="bibr" rid="B80">80</xref>). 25(OH)D acts as a calcium-regulating hormone that inhibits the elevation of PTH, increases osteomineralization to prevent bone loss, strengthens muscles, improves balance, and prevents falls in the elderly (<xref ref-type="bibr" rid="B80">80</xref>). Groenendijk (<xref ref-type="bibr" rid="B81">81</xref>) and others showed that fortified milk supplementation and exercise intervention successfully improved 25(OH)D concentrations and the balance of bone turnover markers in Chinese middle-aged and elderly people. The effects of exercise on bone metabolism are complex, and although serum phosphorus, serum calcium, and 25(OH)D play important roles in bone health, the specific effects of exercise on serum phosphorus, serum calcium, and 25(OH)D may not be significant, possibly due to differences in exercise modalities and intensities, as well as individual differences.</p>
<p>Our subgroup analysis demonstrated that both aerobic and resistance exercise significantly increased OC levels in postmenopausal women, while aerobic exercise also reduced CTX levels. Previous studies suggest that aerobic exercise may increase osteoprotegerin levels, which helps suppress osteoclastogenesis and reduce bone loss, thereby leading to decreased serum CTX and elevated OC levels (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B82">82</xref>). In contrast, resistance exercise promotes osteoblast activity through direct mechanical loading, resulting in increased OC levels (<xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B83">83</xref>). High-load and explosive training methods enhance one-repetition maximum (1RM) strength and rate of force development, thereby stimulating bone formation, increasing bone mineral content, and potentially triggering adaptive skeletal responses through mechanical stress (<xref ref-type="bibr" rid="B25">25</xref>). High-impact exercise, by increasing mechanical loading on the skeleton, significantly improves bone mineral density of the lumbar spine and femoral neck, while also promoting an increase in bone formation markers (e.g., OC) and reducing bone resorption markers (e.g., P1NP), thus improving bone metabolism in postmenopausal women with osteoporosis (<xref ref-type="bibr" rid="B30">30</xref>). Tai Chi, as a mind&#x2013;body exercise, may indirectly reduce fall risk by improving balance and muscle strength, while also slowing bone loss and slightly increasing bone density (e.g., in the femoral neck region) through moderate mechanical loading (<xref ref-type="bibr" rid="B37">37</xref>). Whole-body vibration training promotes bone formation and reduces bone resorption through high-frequency, low-amplitude mechanical stimulation, thereby increasing bone density and mechanical strength, with particularly notable effects in the femoral neck and lumbar spine regions (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Limitations: (i) As the study was an analysis of different bone metabolism by different exercise types, the refinement of the sample size classification may have resulted in a smaller amount of combined effects, which may have had a certain impact on the results, so the analysis was not carried out on the exercise types; (ii) The included studies exhibited heterogeneity in the methods used to measure bone metabolism markers (e.g., IRMA, ELISA), which may affect the comparability and synthesis of the results; (iii) Most of the included studies involved short-term interventions and lacked long-term follow-up data (&gt;2 years); therefore, the sustainability of the intervention effects and their long-term impact on bone health could not be clearly evaluated; (iv) Since all included studies were RCTs, the between-group differences at baseline should theoretically approach zero, which justified our use of post-intervention values for the meta-analysis. However, although randomization balances baseline differences, potential confounding factors may not be fully controlled, which could introduce some bias into the results. Future studies should prioritize reporting baseline data and change-from-baseline values to allow for more comprehensive analyses; (v) This study only searched English-language databases, potentially omitting relevant studies published in other languages (e.g., Chinese, Spanish), which may limit the comprehensiveness and representativeness of the results. Future research should include multilingual databases to reduce potential language bias; (vi) The applicability of our study results to populations from different regions or ethnic backgrounds may be limited, particularly in groups with substantial differences in baseline bone health, lifestyle, or genetic background, and thus should be generalized with caution; (vii) In the study, although the 6-month intervention duration was justified based on the physiological rationale of the bone remodeling cycle, the cut-off point of 60 minutes for single-session exercise duration lacks a clear physiological basis. The choice of this cut-off may be more related to the distribution of the data or operational convenience rather than physiological significance. Therefore, we acknowledge the potential bias that may be introduced by this arbitrary cut-off.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The systematic review and meta-analysis of this study demonstrated that regular exercise has significant effects on bone metabolism in postmenopausal women by reducing bone resorption and enhancing bone formation. Aerobic exercise effectively decreases CTX levels, while both aerobic and resistance exercise effectively increase OC levels. Short-term interventions (&#x2264;6 months) and moderate-duration sessions (&#x2264;60 minutes per session) show notable benefits in lowering CTX and elevating OC. However, more rigorously designed randomized controlled trials are needed to confirm the benefits of exercise on bone metabolism and to determine the optimal intervention strategies. Due to the small number of studies, it was not possible to determine the effects on other bone metabolism metrics. However, more rigorously designed randomized controlled trials are needed to validate the benefits of exercise on bone metabolism and to explore its optimal protocol.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>WZ: Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. XL: Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. QH: Formal analysis, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. XW: Conceptualization, Funding acquisition, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This study was supported by the Social Science Planning Research Program of Shandong Province in 2021 (21DTYJ03).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>Thanks to all authors for their contributions.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fendo.2025.1597046/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2025.1597046/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mingjian</surname> <given-names>N</given-names>
</name>
<name>
<surname>Hongjuan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Mei</surname> <given-names>W</given-names>
</name>
</person-group>. <article-title>Effect of exercise on bone health in postmenopausal women with osteoporosis</article-title>. <source>Med Sci Sports Exercise</source>. (<year>2022</year>) <volume>54</volume>:<fpage>532</fpage>. doi: <pub-id pub-id-type="doi">10.1249/01.mss.0000881740.83096.11</pub-id>
</citation></ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Levin</surname> <given-names>VA</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Kagan</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Estrogen therapy for osteoporosis in the modern era</article-title>. <source>Osteoporos Int</source>. (<year>2018</year>) <volume>29</volume>:<page-range>1049&#x2013;55</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00198-018-4414-z</pub-id>, PMID: <pub-id pub-id-type="pmid">29520604</pub-id></citation></ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kelley</surname> <given-names>GA</given-names>
</name>
<name>
<surname>Kelley</surname> <given-names>KS</given-names>
</name>
<name>
<surname>Tran</surname> <given-names>ZV</given-names>
</name>
</person-group>. <article-title>Exercise and lumbar spine bone mineral density in postmenopausal women: a meta-analysis of individual patient data</article-title>. <source>J Gerontol A Biol Sci Med Sci</source>. (<year>2002</year>) <volume>57</volume>:<page-range>M599&#x2013;604</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/gerona/57.9.M599</pub-id>, PMID: <pub-id pub-id-type="pmid">12196498</pub-id></citation></ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Gu</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Li</surname> <given-names>R</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>R</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Effect of Yi Jin Jing exercise plus Elastic Band Resistance exercise on overall bone mineral density in postmenopausal women</article-title>. <source>J Sci Med Sport</source>. (<year>2023</year>) <volume>26</volume>:<fpage>87</fpage>&#x2013;<lpage>92</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jsams.2023.01.006</pub-id>, PMID: <pub-id pub-id-type="pmid">36707306</pub-id></citation></ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shen</surname> <given-names>CL</given-names>
</name>
<name>
<surname>Chyu</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Yeh</surname> <given-names>JK</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Pence</surname> <given-names>BC</given-names>
</name>
<name>
<surname>Felton</surname> <given-names>CK</given-names>
</name>
<etal/>
</person-group>. <article-title>Effect of green tea and Tai Chi on bone health in postmenopausal osteopenic women: a 6-month randomized placebo-controlled trial</article-title>. <source>Osteoporos Int</source>. (<year>2012</year>) <volume>23</volume>:<page-range>1541&#x2013;52</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00198-011-1731-x</pub-id>, PMID: <pub-id pub-id-type="pmid">21766228</pub-id></citation></ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wen</surname> <given-names>HJ</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>TH</given-names>
</name>
<name>
<surname>Li</surname> <given-names>TL</given-names>
</name>
<name>
<surname>Chong</surname> <given-names>PN</given-names>
</name>
<name>
<surname>Ang</surname> <given-names>BS</given-names>
</name>
</person-group>. <article-title>Effects of short-term step aerobics exercise on bone metabolism and functional fitness in postmenopausal women with low bone mass</article-title>. <source>Osteoporos Int</source>. (<year>2017</year>) <volume>28</volume>:<page-range>539&#x2013;47</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00198-016-3759-4</pub-id>, PMID: <pub-id pub-id-type="pmid">27613719</pub-id></citation></ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xiao</surname> <given-names>CM</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhuang</surname> <given-names>YC</given-names>
</name>
</person-group>. <article-title>Effects of elastic resistance band exercise on postural balance, estrogen, bone metabolism index, and muscle strength of perimenopausal period women</article-title>. <source>J Am Geriatr Soc</source>. (<year>2016</year>) <volume>64</volume>:<page-range>1368&#x2013;70</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/jgs.14172</pub-id>, PMID: <pub-id pub-id-type="pmid">27321627</pub-id></citation></ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bonaiuti</surname> <given-names>D</given-names>
</name>
<name>
<surname>Shea</surname> <given-names>B</given-names>
</name>
<name>
<surname>Iovine</surname> <given-names>R</given-names>
</name>
<name>
<surname>Negrini</surname> <given-names>S</given-names>
</name>
<name>
<surname>Robinson</surname> <given-names>V</given-names>
</name>
<name>
<surname>Kemper</surname> <given-names>HC</given-names>
</name>
<etal/>
</person-group>. <article-title>Exercise for preventing and treating osteoporosis in postmenopausal women</article-title>. <source>Cochrane Database Syst Rev</source>. (<year>2002</year>) <volume>6</volume>:<fpage>Cd000333</fpage>. doi: <pub-id pub-id-type="doi">10.1002/14651858</pub-id>, PMID: <pub-id pub-id-type="pmid">38812899</pub-id></citation></ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>S</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>X</given-names>
</name>
<name>
<surname>Li</surname> <given-names>B</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>Effect of exercise on bone mineral density among patients with osteoporosis and osteopenia: A systematic review and network meta-analysis</article-title>. <source>J Clin Nurs</source>. (<year>2022</year>) <volume>31</volume>:<page-range>2100&#x2013;11</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/jocn.16101</pub-id>, PMID: <pub-id pub-id-type="pmid">34725872</pub-id></citation></ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shojaa</surname> <given-names>M</given-names>
</name>
<name>
<surname>von Stengel</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kohl</surname> <given-names>M</given-names>
</name>
<name>
<surname>Schoene</surname> <given-names>D</given-names>
</name>
<name>
<surname>Kemmler</surname> <given-names>W</given-names>
</name>
</person-group>. <article-title>Effects of dynamic resistance exercise on bone mineral density in postmenopausal women: a systematic review and meta-analysis with special emphasis on exercise parameters</article-title>. <source>Osteoporos Int</source>. (<year>2020</year>) <volume>31</volume>:<page-range>1427&#x2013;44</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00198-020-05441-w</pub-id>, PMID: <pub-id pub-id-type="pmid">32399891</pub-id></citation></ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lv</surname> <given-names>X</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xing</surname> <given-names>W</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>The effectiveness of balneotherapy and aquatic exercise on bone metabolism: A systematic review and meta-analysis</article-title>. <source>Complement Ther Clin Pract</source>. (<year>2021</year>) <volume>44</volume>:<fpage>101429</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ctcp.2021.101429</pub-id>, PMID: <pub-id pub-id-type="pmid">34167042</pub-id></citation></ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Greenblatt</surname> <given-names>MB</given-names>
</name>
<name>
<surname>Tsai</surname> <given-names>JN</given-names>
</name>
<name>
<surname>Wein</surname> <given-names>MN</given-names>
</name>
</person-group>. <article-title>Bone turnover markers in the diagnosis and monitoring of metabolic bone disease</article-title>. <source>Clin Chem</source>. (<year>2017</year>) <volume>63</volume>:<page-range>464&#x2013;74</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1373/clinchem.2016.259085</pub-id>, PMID: <pub-id pub-id-type="pmid">27940448</pub-id></citation></ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Page</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>McKenzie</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Bossuyt</surname> <given-names>PM</given-names>
</name>
<name>
<surname>Boutron</surname> <given-names>I</given-names>
</name>
<name>
<surname>Hoffmann</surname> <given-names>TC</given-names>
</name>
<name>
<surname>Mulrow</surname> <given-names>CD</given-names>
</name>
<etal/>
</person-group>. <article-title>The PRISMA 2020 statement: an updated guideline for reporting systematic reviews</article-title>. <source>Bmj</source>. (<year>2021</year>) <volume>372</volume>:<fpage>n71</fpage>. doi: <pub-id pub-id-type="doi">10.1136/bmj.n71</pub-id>, PMID: <pub-id pub-id-type="pmid">33782057</pub-id></citation></ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Higgins</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Altman</surname> <given-names>DG</given-names>
</name>
<name>
<surname>G&#xf8;tzsche</surname> <given-names>PC</given-names>
</name>
<name>
<surname>J&#xfc;ni</surname> <given-names>P</given-names>
</name>
<name>
<surname>Moher</surname> <given-names>D</given-names>
</name>
<name>
<surname>Oxman</surname> <given-names>AD</given-names>
</name>
<etal/>
</person-group>. <article-title>The&#xa0;Cochrane Collaboration&#x2019;s tool for assessing risk of bias in randomised trials</article-title>. <source>Bmj</source>. (<year>2011</year>) <volume>343</volume>:<fpage>d5928</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/bmj.d5928</pub-id>, PMID: <pub-id pub-id-type="pmid">22008217</pub-id></citation></ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Akl</surname> <given-names>EA</given-names>
</name>
<name>
<surname>Sch&#xfc;nemann</surname> <given-names>HJ</given-names>
</name>
</person-group>. <article-title>Using systematic reviews in guideline development: the GRADE approach</article-title>. <source>Res Synth Methods</source>. (<year>2019</year>) <volume>10</volume>:<page-range>312&#x2013;29</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jrsm.1313</pub-id>, PMID: <pub-id pub-id-type="pmid">30006970</pub-id></citation></ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hatori</surname> <given-names>M</given-names>
</name>
<name>
<surname>Hasegawa</surname> <given-names>A</given-names>
</name>
<name>
<surname>Adachi</surname> <given-names>H</given-names>
</name>
<name>
<surname>Shinozaki</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hayashi</surname> <given-names>R</given-names>
</name>
<name>
<surname>Okano</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>The effects of walking at the anaerobic threshold level on vertebral bone loss in postmenopausal women</article-title>. <source>Calcif Tissue Int</source>. (<year>1993</year>) <volume>52</volume>:<page-range>411&#x2013;4</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/BF00571327</pub-id>, PMID: <pub-id pub-id-type="pmid">8369985</pub-id></citation></ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nelson</surname> <given-names>ME</given-names>
</name>
<name>
<surname>Fiatarone</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Morganti</surname> <given-names>CM</given-names>
</name>
<name>
<surname>Trice</surname> <given-names>I</given-names>
</name>
<name>
<surname>Greenberg</surname> <given-names>RA</given-names>
</name>
<name>
<surname>Evans</surname> <given-names>WJ</given-names>
</name>
</person-group>. <article-title>Effects of high-intensity strength training on multiple risk factors for osteoporotic fractures. A randomized controlled trial</article-title>. <source>Jama</source>. (<year>1994</year>) <volume>272</volume>:<page-range>1909&#x2013;14</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jama.1994.03520240037038</pub-id>, PMID: <pub-id pub-id-type="pmid">7990242</pub-id></citation></ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Iwamoto</surname> <given-names>J</given-names>
</name>
<name>
<surname>Takeda</surname> <given-names>T</given-names>
</name>
<name>
<surname>Ichimura</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Effect of exercise training and detraining on bone mineral density in postmenopausal women with osteoporosis</article-title>. <source>J Orthop Sci</source>. (<year>2001</year>) <volume>6</volume>:<page-range>128&#x2013;32</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s007760100059</pub-id>, PMID: <pub-id pub-id-type="pmid">11484097</pub-id></citation></ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Oka</surname> <given-names>J</given-names>
</name>
<name>
<surname>Higuchi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Tabata</surname> <given-names>I</given-names>
</name>
<name>
<surname>Toda</surname> <given-names>T</given-names>
</name>
<name>
<surname>Fujioka</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Cooperative effects of isoflavones and exercise on bone and lipid metabolism in postmenopausal Japanese women: a randomized placebo-controlled trial</article-title>. <source>Metabolism</source>. (<year>2006</year>) <volume>55</volume>:<page-range>423&#x2013;33</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.metabol.2005.10.002</pub-id>, PMID: <pub-id pub-id-type="pmid">16546471</pub-id></citation></ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Oka</surname> <given-names>J</given-names>
</name>
<name>
<surname>Tabata</surname> <given-names>I</given-names>
</name>
<name>
<surname>Higuchi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Toda</surname> <given-names>T</given-names>
</name>
<name>
<surname>Fuku</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Effects of isoflavone and exercise on BMD and fat mass in postmenopausal Japanese women: a 1-year randomized placebo-controlled trial</article-title>. <source>J Bone Miner Res</source>. (<year>2006</year>) <volume>21</volume>:<page-range>780&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1359/jbmr.060208</pub-id>, PMID: <pub-id pub-id-type="pmid">16734394</pub-id></citation></ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ay</surname> <given-names>A</given-names>
</name>
<name>
<surname>Yurtkuran</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Evaluation of hormonal response and ultrasonic changes in the heel bone by aquatic exercise in sedentary postmenopausal women</article-title>. <source>Am J Phys Med Rehabil</source>. (<year>2003</year>) <volume>82</volume>:<page-range>942&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/01.PHM.0000098039.58584.59</pub-id>, PMID: <pub-id pub-id-type="pmid">14627931</pub-id></citation></ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tartibian</surname> <given-names>B</given-names>
</name>
<name>
<surname>Hajizadeh Maleki</surname> <given-names>B</given-names>
</name>
<name>
<surname>Kanaley</surname> <given-names>J</given-names>
</name>
<name>
<surname>Sadeghi</surname> <given-names>K</given-names>
</name>
</person-group>. <article-title>Long-term aerobic exercise and omega-3 supplementation modulate osteoporosis through inflammatory mechanisms in post-menopausal women: a randomized, repeated measures study</article-title>. <source>Nutr Metab (Lond)</source>. (<year>2011</year>) <volume>8</volume>:<fpage>71</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/1743-7075-8-71</pub-id>, PMID: <pub-id pub-id-type="pmid">21999620</pub-id></citation></ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bergstr&#xf6;m</surname> <given-names>I</given-names>
</name>
<name>
<surname>Parini</surname> <given-names>P</given-names>
</name>
<name>
<surname>Gustafsson</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Andersson</surname> <given-names>G</given-names>
</name>
<name>
<surname>Brinck</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Physical training increases osteoprotegerin in postmenopausal women</article-title>. <source>J Bone Miner Metab</source>. (<year>2012</year>) <volume>30</volume>:<page-range>202&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00774-011-0304-6</pub-id>, PMID: <pub-id pub-id-type="pmid">21823052</pub-id></citation></ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Basat</surname> <given-names>H</given-names>
</name>
<name>
<surname>Esmaeilzadeh</surname> <given-names>S</given-names>
</name>
<name>
<surname>Eskiyurt</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>The effects of strengthening and high-impact exercises on bone metabolism and quality of life in postmenopausal women: a randomized controlled trial</article-title>. <source>J Back Musculoskelet Rehabil</source>. (<year>2013</year>) <volume>26</volume>:<page-range>427&#x2013;35</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3233/BMR-130402</pub-id>, PMID: <pub-id pub-id-type="pmid">23948830</pub-id></citation></ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mosti</surname> <given-names>MP</given-names>
</name>
<name>
<surname>Kaehler</surname> <given-names>N</given-names>
</name>
<name>
<surname>Stunes</surname> <given-names>AK</given-names>
</name>
<name>
<surname>Hoff</surname> <given-names>J</given-names>
</name>
<name>
<surname>Syversen</surname> <given-names>U</given-names>
</name>
</person-group>. <article-title>Maximal strength training in postmenopausal women with osteoporosis or osteopenia</article-title>. <source>J Strength Cond Res</source>. (<year>2013</year>) <volume>27</volume>:<page-range>2879&#x2013;86</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1519/JSC.0b013e318280d4e2</pub-id>, PMID: <pub-id pub-id-type="pmid">23287836</pub-id></citation></ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Roghani</surname> <given-names>T</given-names>
</name>
<name>
<surname>Torkaman</surname> <given-names>G</given-names>
</name>
<name>
<surname>Movasseghe</surname> <given-names>S</given-names>
</name>
<name>
<surname>Hedayati</surname> <given-names>M</given-names>
</name>
<name>
<surname>Goosheh</surname> <given-names>B</given-names>
</name>
<name>
<surname>Bayat</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Effects of short-term aerobic exercise with and without external loading on bone metabolism and balance in postmenopausal women with osteoporosis</article-title>. <source>Rheumatol Int</source>. (<year>2013</year>) <volume>33</volume>:<page-range>291&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00296-012-2388-2</pub-id>, PMID: <pub-id pub-id-type="pmid">22441962</pub-id></citation></ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pernambuco</surname> <given-names>CS</given-names>
</name>
<name>
<surname>Borba-Pinheiro</surname> <given-names>CJ</given-names>
</name>
<name>
<surname>Vale</surname> <given-names>RG</given-names>
</name>
<name>
<surname>Di Masi</surname> <given-names>F</given-names>
</name>
<name>
<surname>Monteiro</surname> <given-names>PK</given-names>
</name>
<name>
<surname>Dantas</surname> <given-names>EH</given-names>
</name>
</person-group>. <article-title>Functional autonomy, bone mineral density (BMD) and serum osteocalcin levels in older female participants of an aquatic exercise program (AAG)</article-title>. <source>Arch Gerontol Geriatr</source>. (<year>2013</year>) <volume>56</volume>:<page-range>466&#x2013;71</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.archger.2012.12.012</pub-id>, PMID: <pub-id pub-id-type="pmid">23375799</pub-id></citation></ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moreira</surname> <given-names>LD</given-names>
</name>
<name>
<surname>Fronza</surname> <given-names>FC</given-names>
</name>
<name>
<surname>Dos Santos</surname> <given-names>RN</given-names>
</name>
<name>
<surname>Zach</surname> <given-names>PL</given-names>
</name>
<name>
<surname>Kunii</surname> <given-names>IS</given-names>
</name>
<name>
<surname>Hayashi</surname> <given-names>LF</given-names>
</name>
<etal/>
</person-group>. <article-title>The benefits of a high-intensity aquatic exercise program (HydrOS) for bone metabolism and bone mass of postmenopausal women</article-title>. <source>J Bone Miner Metab</source>. (<year>2014</year>) <volume>32</volume>:<page-range>411&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00774-013-0509-y</pub-id>, PMID: <pub-id pub-id-type="pmid">24048909</pub-id></citation></ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baker</surname> <given-names>MK</given-names>
</name>
<name>
<surname>Peddle-McIntyre</surname> <given-names>CJ</given-names>
</name>
<name>
<surname>Galv&#xe3;o</surname> <given-names>DA</given-names>
</name>
<name>
<surname>Hunt</surname> <given-names>C</given-names>
</name>
<name>
<surname>Spry</surname> <given-names>N</given-names>
</name>
<name>
<surname>Newton</surname> <given-names>RU</given-names>
</name>
</person-group>. <article-title>Whole body vibration exposure on markers of bone turnover, body composition, and physical functioning in breast cancer patients receiving aromatase inhibitor therapy: A randomized controlled trial</article-title>. <source>Integr Cancer Ther</source>. (<year>2018</year>) <volume>17</volume>:<page-range>968&#x2013;78</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/1534735418781489</pub-id>, PMID: <pub-id pub-id-type="pmid">29952241</pub-id></citation></ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sen</surname> <given-names>EI</given-names>
</name>
<name>
<surname>Esmaeilzadeh</surname> <given-names>S</given-names>
</name>
<name>
<surname>Eskiyurt</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Effects of whole-body vibration and high impact exercises on the bone metabolism and functional mobility in postmenopausal women</article-title>. <source>J Bone Miner Metab</source>. (<year>2020</year>) <volume>38</volume>:<fpage>392</fpage>&#x2013;<lpage>404</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00774-019-01072-2</pub-id>, PMID: <pub-id pub-id-type="pmid">31897748</pub-id></citation></ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Linero</surname> <given-names>C</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>SJ</given-names>
</name>
</person-group>. <article-title>Effect of blood flow restriction during low-intensity resistance training on bone markers and physical functions in postmenopausal women</article-title>. <source>J Exerc Sci Fit</source>. (<year>2021</year>) <volume>19</volume>:<fpage>57</fpage>&#x2013;<lpage>65</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jesf.2020.09.001</pub-id>, PMID: <pub-id pub-id-type="pmid">33293983</pub-id></citation></ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pereira</surname> <given-names>R</given-names>
</name>
<name>
<surname>Krustrup</surname> <given-names>P</given-names>
</name>
<name>
<surname>Castagna</surname> <given-names>C</given-names>
</name>
<name>
<surname>Coelho</surname> <given-names>E</given-names>
</name>
<name>
<surname>Santos</surname> <given-names>R</given-names>
</name>
<name>
<surname>Helge</surname> <given-names>EW</given-names>
</name>
<etal/>
</person-group>. <article-title>Effects of recreational team handball on bone health, postural balance and body composition in inactive postmenopausal women - A randomised controlled trial</article-title>. <source>Bone</source>. (<year>2021</year>) <volume>145</volume>:<fpage>115847</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bone.2021.115847</pub-id>, PMID: <pub-id pub-id-type="pmid">33450430</pub-id></citation></ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname> <given-names>AR</given-names>
</name>
<name>
<surname>Soeun</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yoo-Jin</surname> <given-names>S</given-names>
</name>
<name>
<surname>Seung-Wook</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>The effect of 6-month complex exercise on serum bone metabolism: focused on the elderly over 75 years old</article-title>. <source>Appl Sci</source>. (<year>2022</year>) <volume>12</volume>:<fpage>11373</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/app122211373</pub-id>
</citation></ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zaravar</surname> <given-names>F</given-names>
</name>
<name>
<surname>Tamaddon</surname> <given-names>G</given-names>
</name>
<name>
<surname>Zaravar</surname> <given-names>L</given-names>
</name>
<name>
<surname>Koushkie Jahromi</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>The effect of aquatic training and vitamin D3 supplementation on bone metabolism in postmenopausal obese women</article-title>. <source>J Exerc Sci Fit</source>. (<year>2024</year>) <volume>22</volume>:<page-range>127&#x2013;33</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jesf.2024.01.002</pub-id>, PMID: <pub-id pub-id-type="pmid">38299108</pub-id></citation></ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guzel</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Atakan</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Areta</surname> <given-names>JL</given-names>
</name>
<name>
<surname>Turnagol</surname> <given-names>HH</given-names>
</name>
<name>
<surname>Kosar</surname> <given-names>SN</given-names>
</name>
</person-group>. <article-title>Ten weeks of low-volume walking training improve cardiometabolic health and body composition in sedentary postmenopausal women with obesity without affecting markers of bone metabolism</article-title>. <source>Res Sports Med</source>. (<year>2024</year>) <volume>32</volume>:<page-range>331&#x2013;43</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/15438627.2022.2113877</pub-id>, PMID: <pub-id pub-id-type="pmid">35996845</pub-id></citation></ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pasa</surname> <given-names>C</given-names>
</name>
<name>
<surname>Pamungkasari</surname> <given-names>EP</given-names>
</name>
<name>
<surname>Doewes</surname> <given-names>M</given-names>
</name>
<name>
<surname>Purwanto</surname> <given-names>B</given-names>
</name>
<name>
<surname>Hartono</surname> <given-names>H</given-names>
</name>
<name>
<surname>Cilmiaty</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Effect of walking and bone joint exercise on enhancing bone remodeling in menopausal women: A randomized controlled trial</article-title>. <source>Narra J</source>. (<year>2024</year>) <volume>4</volume>:<fpage>e1321</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.52225/narra.v4i3.1321</pub-id>, PMID: <pub-id pub-id-type="pmid">39816092</pub-id></citation></ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wayne</surname> <given-names>PM</given-names>
</name>
<name>
<surname>Kiel</surname> <given-names>DP</given-names>
</name>
<name>
<surname>Buring</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Connors</surname> <given-names>EM</given-names>
</name>
<name>
<surname>Bonato</surname> <given-names>P</given-names>
</name>
<name>
<surname>Yeh</surname> <given-names>GY</given-names>
</name>
<etal/>
</person-group>. <article-title>Impact of Tai Chi exercise on multiple fracture-related risk factors in post-menopausal osteopenic women: a pilot pragmatic, randomized trial</article-title>. <source>BMC Complement Altern Med</source>. (<year>2012</year>) <volume>12</volume>:<fpage>7</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/1472-6882-12-7</pub-id>, PMID: <pub-id pub-id-type="pmid">22289280</pub-id></citation></ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shen</surname> <given-names>CL</given-names>
</name>
<name>
<surname>Chyu</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Pence</surname> <given-names>BC</given-names>
</name>
<name>
<surname>Yeh</surname> <given-names>JK</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Felton</surname> <given-names>CK</given-names>
</name>
<etal/>
</person-group>. <article-title>Green tea polyphenols supplementation and Tai Chi exercise for postmenopausal osteopenic women: safety and quality of life report</article-title>. <source>BMC Complement Altern Med</source>. (<year>2010</year>) <volume>10</volume>:<fpage>76</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/1472-6882-10-76</pub-id>, PMID: <pub-id pub-id-type="pmid">21143878</pub-id></citation></ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yan</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>B</given-names>
</name>
<name>
<surname>Fu</surname> <given-names>F</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Li</surname> <given-names>W</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>Exercise vs conventional treatment for treatment of primary osteoporosis: A systematic review and meta-analysis of randomized controlled trials</article-title>. <source>Orthop Surg</source>. (<year>2021</year>) <volume>13</volume>:<page-range>1474&#x2013;87</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/os.13036</pub-id>, PMID: <pub-id pub-id-type="pmid">34124845</pub-id></citation></ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Choi</surname> <given-names>RB</given-names>
</name>
<name>
<surname>Robling</surname> <given-names>AG</given-names>
</name>
</person-group>. <article-title>The Wnt pathway: An important control mechanism in bone&#x2019;s response to mechanical loading</article-title>. <source>Bone</source>. (<year>2021</year>) <volume>153</volume>:<fpage>116087</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bone.2021.116087</pub-id>, PMID: <pub-id pub-id-type="pmid">34271473</pub-id></citation></ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kang</surname> <given-names>KS</given-names>
</name>
<name>
<surname>Robling</surname> <given-names>AG</given-names>
</name>
</person-group>. <article-title>New insights into wnt-lrp5/6-&#x3b2;-catenin signaling in mechanotransduction</article-title>. <source>Front Endocrinol (Lausanne)</source>. (<year>2014</year>) <volume>5</volume>:<elocation-id>246</elocation-id>. doi: <pub-id pub-id-type="doi">10.3389/fendo.2014.00246</pub-id>, PMID: <pub-id pub-id-type="pmid">25653639</pub-id></citation></ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Qu</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>S</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Wnt/&#x3b2;-catenin signaling pathway: proteins&#x2019; roles in osteoporosis and cancer diseases and the regulatory effects of natural compounds on osteoporosis</article-title>. <source>Mol Med</source>. (<year>2024</year>) <volume>30</volume>:<fpage>193</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s10020-024-00957-x</pub-id>, PMID: <pub-id pub-id-type="pmid">39468464</pub-id></citation></ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Maeda</surname> <given-names>K</given-names>
</name>
<name>
<surname>Kobayashi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Koide</surname> <given-names>M</given-names>
</name>
<name>
<surname>Uehara</surname> <given-names>S</given-names>
</name>
<name>
<surname>Okamoto</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ishihara</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>The regulation of bone metabolism and disorders by wnt signaling</article-title>. <source>Int J Mol Sci</source>. (<year>2019</year>) <volume>20</volume>:<fpage>5525</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms20225525</pub-id>, PMID: <pub-id pub-id-type="pmid">31698687</pub-id></citation></ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Turner</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Robling</surname> <given-names>AG</given-names>
</name>
</person-group>. <article-title>Designing exercise regimens to increase bone strength</article-title>. <source>Exerc Sport Sci Rev</source>. (<year>2003</year>) <volume>31</volume>:<fpage>45</fpage>&#x2013;<lpage>50</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/00003677-200301000-00009</pub-id>, PMID: <pub-id pub-id-type="pmid">12562170</pub-id></citation></ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Robling</surname> <given-names>AG</given-names>
</name>
<name>
<surname>Turner</surname> <given-names>CH</given-names>
</name>
</person-group>. <article-title>Mechanical signaling for bone modeling and remodeling</article-title>. <source>Crit Rev Eukaryot Gene Expr</source>. (<year>2009</year>) <volume>19</volume>:<page-range>319&#x2013;38</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1615/CritRevEukarGeneExpr.v19.i4.50</pub-id>, PMID: <pub-id pub-id-type="pmid">19817708</pub-id></citation></ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Scott</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Sale</surname> <given-names>C</given-names>
</name>
<name>
<surname>Greeves</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Casey</surname> <given-names>A</given-names>
</name>
<name>
<surname>Dutton</surname> <given-names>J</given-names>
</name>
<name>
<surname>Fraser</surname> <given-names>WD</given-names>
</name>
</person-group>. <article-title>The role of exercise intensity in the bone metabolic response to an acute bout of weight-bearing exercise</article-title>. <source>J Appl Physiol (1985)</source>. (<year>2011</year>) <volume>110</volume>:<page-range>423&#x2013;32</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1152/japplphysiol.00764.2010</pub-id>, PMID: <pub-id pub-id-type="pmid">21127210</pub-id></citation></ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Robling</surname> <given-names>AG</given-names>
</name>
<name>
<surname>Hinant</surname> <given-names>FM</given-names>
</name>
<name>
<surname>Burr</surname> <given-names>DB</given-names>
</name>
<name>
<surname>Turner</surname> <given-names>CH</given-names>
</name>
</person-group>. <article-title>Improved bone structure and strength after long-term mechanical loading is greatest if loading is separated into short bouts</article-title>. <source>J Bone Miner Res</source>. (<year>2002</year>) <volume>17</volume>:<page-range>1545&#x2013;54</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1359/jbmr.2002.17.8.1545</pub-id>, PMID: <pub-id pub-id-type="pmid">12162508</pub-id></citation></ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tenforde</surname> <given-names>AS</given-names>
</name>
<name>
<surname>Fredericson</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Influence of sports participation on bone health in the young athlete: a review of the literature</article-title>. <source>Pm R</source>. (<year>2011</year>) <volume>3</volume>:<page-range>861&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.pmrj.2011.05.019</pub-id>, PMID: <pub-id pub-id-type="pmid">21944303</pub-id></citation></ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Fan</surname> <given-names>R</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhong</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>The effect and safety of Tai Chi on bone health in postmenopausal women: A meta-analysis and trial sequential analysis</article-title>. <source>Front Aging Neurosci</source>. (<year>2022</year>) <volume>14</volume>:<elocation-id>935326</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fnagi.2022.935326</pub-id>, PMID: <pub-id pub-id-type="pmid">36177477</pub-id></citation></ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kohrt</surname> <given-names>WM</given-names>
</name>
<name>
<surname>Bloomfield</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Little</surname> <given-names>KD</given-names>
</name>
<name>
<surname>Nelson</surname> <given-names>ME</given-names>
</name>
<name>
<surname>Yingling</surname> <given-names>VR</given-names>
</name>
</person-group>. <article-title>American College of Sports Medicine Position Stand: physical activity and bone health</article-title>. <source>Med Sci Sports Exerc</source>. (<year>2004</year>) <volume>36</volume>:<page-range>1985&#x2013;96</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1249/01.MSS.0000142662.21767.58</pub-id>, PMID: <pub-id pub-id-type="pmid">15514517</pub-id></citation></ref>
<ref id="B51">
<label>51</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schinzel</surname> <given-names>E</given-names>
</name>
<name>
<surname>Kast</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kohl</surname> <given-names>M</given-names>
</name>
<name>
<surname>von Stengel</surname> <given-names>S</given-names>
</name>
<name>
<surname>Jakob</surname> <given-names>F</given-names>
</name>
<name>
<surname>Kerschan-Schindl</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>The effect of aquatic exercise on bone mineral density in older adults. A systematic review and meta-analysis</article-title>. <source>Front Physiol</source>. (<year>2023</year>) <volume>14</volume>:<elocation-id>1135663</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fphys.2023.1135663</pub-id>, PMID: <pub-id pub-id-type="pmid">36994417</pub-id></citation></ref>
<ref id="B52">
<label>52</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kast</surname> <given-names>S</given-names>
</name>
<name>
<surname>Shojaa</surname> <given-names>M</given-names>
</name>
<name>
<surname>Kohl</surname> <given-names>M</given-names>
</name>
<name>
<surname>von Stengel</surname> <given-names>S</given-names>
</name>
<name>
<surname>Gosch</surname> <given-names>M</given-names>
</name>
<name>
<surname>Jakob</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Effects of different exercise intensity on bone mineral density in adults: a comparative systematic review and meta-analysis</article-title>. <source>Osteoporos Int</source>. (<year>2022</year>) <volume>33</volume>:<page-range>1643&#x2013;57</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00198-022-06329-7</pub-id>, PMID: <pub-id pub-id-type="pmid">35304613</pub-id></citation></ref>
<ref id="B53">
<label>53</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mages</surname> <given-names>M</given-names>
</name>
<name>
<surname>Shojaa</surname> <given-names>M</given-names>
</name>
<name>
<surname>Kohl</surname> <given-names>M</given-names>
</name>
<name>
<surname>von Stengel</surname> <given-names>S</given-names>
</name>
<name>
<surname>Becker</surname> <given-names>C</given-names>
</name>
<name>
<surname>Gosch</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Exercise effects on bone mineral density in men</article-title>. <source>Nutrients</source>. (<year>2021</year>) <volume>13</volume>:<fpage>4244</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/nu13124244</pub-id>, PMID: <pub-id pub-id-type="pmid">34959796</pub-id></citation></ref>
<ref id="B54">
<label>54</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kemmler</surname> <given-names>W</given-names>
</name>
<name>
<surname>Shojaa</surname> <given-names>M</given-names>
</name>
<name>
<surname>Kohl</surname> <given-names>M</given-names>
</name>
<name>
<surname>von Stengel</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Effects of different types of exercise on bone mineral density in postmenopausal women: A systematic review and meta-analysis</article-title>. <source>Calcif Tissue Int</source>. (<year>2020</year>) <volume>107</volume>:<page-range>409&#x2013;39</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00223-020-00744-w</pub-id>, PMID: <pub-id pub-id-type="pmid">32785775</pub-id></citation></ref>
<ref id="B55">
<label>55</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Uenaka</surname> <given-names>M</given-names>
</name>
<name>
<surname>Yamashita</surname> <given-names>E</given-names>
</name>
<name>
<surname>Kikuta</surname> <given-names>J</given-names>
</name>
<name>
<surname>Morimoto</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ao</surname> <given-names>T</given-names>
</name>
<name>
<surname>Mizuno</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Osteoblast-derived vesicles induce a switch from bone-formation to bone-resorption <italic>in vivo</italic>
</article-title>. <source>Nat Commun</source>. (<year>2022</year>) <volume>13</volume>:<fpage>1066</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-022-28673-2</pub-id>, PMID: <pub-id pub-id-type="pmid">35210428</pub-id></citation></ref>
<ref id="B56">
<label>56</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Garnero</surname> <given-names>P</given-names>
</name>
</person-group>. <article-title>New developments in biological markers of bone metabolism in osteoporosis</article-title>. <source>Bone</source>. (<year>2014</year>) <volume>66</volume>:<fpage>46</fpage>&#x2013;<lpage>55</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bone.2014.05.016</pub-id>, PMID: <pub-id pub-id-type="pmid">24909537</pub-id></citation></ref>
<ref id="B57">
<label>57</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qiu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Rao</surname> <given-names>DS</given-names>
</name>
<name>
<surname>Palnitkar</surname> <given-names>S</given-names>
</name>
<name>
<surname>Parfitt</surname> <given-names>AM</given-names>
</name>
</person-group>. <article-title>Dependence of bone yield (volume of bone formed per unit of cement surface area) on resorption cavity size during osteonal remodeling in human rib: implications for osteoblast function and the pathogenesis of age-related bone loss</article-title>. <source>J Bone Miner Res</source>. (<year>2010</year>) <volume>25</volume>:<page-range>423&#x2013;30</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1359/jbmr.091003</pub-id>, PMID: <pub-id pub-id-type="pmid">19821766</pub-id></citation></ref>
<ref id="B58">
<label>58</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Eastell</surname> <given-names>R</given-names>
</name>
<name>
<surname>Szulc</surname> <given-names>P</given-names>
</name>
</person-group>. <article-title>Use of bone turnover markers in postmenopausal osteoporosis</article-title>. <source>Lancet Diabetes Endocrinol</source>. (<year>2017</year>) <volume>5</volume>:<page-range>908&#x2013;23</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S2213-8587(17)30184-5</pub-id>, PMID: <pub-id pub-id-type="pmid">28689768</pub-id></citation></ref>
<ref id="B59">
<label>59</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Evans</surname> <given-names>EM</given-names>
</name>
<name>
<surname>Racette</surname> <given-names>SB</given-names>
</name>
<name>
<surname>Van Pelt</surname> <given-names>RE</given-names>
</name>
<name>
<surname>Peterson</surname> <given-names>LR</given-names>
</name>
<name>
<surname>Villareal</surname> <given-names>DT</given-names>
</name>
</person-group>. <article-title>Effects of soy protein isolate and moderate exercise on bone turnover and bone mineral density in postmenopausal women</article-title>. <source>Menopause</source>. (<year>2007</year>) <volume>14</volume>:<page-range>481&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/01.gme.0000243570.78570.f7</pub-id>, PMID: <pub-id pub-id-type="pmid">17213752</pub-id></citation></ref>
<ref id="B60">
<label>60</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Park</surname> <given-names>SY</given-names>
</name>
<name>
<surname>Ahn</surname> <given-names>SH</given-names>
</name>
<name>
<surname>Yoo</surname> <given-names>JI</given-names>
</name>
<name>
<surname>Chung</surname> <given-names>YJ</given-names>
</name>
<name>
<surname>Jeon</surname> <given-names>YK</given-names>
</name>
<name>
<surname>Yoon</surname> <given-names>BH</given-names>
</name>
<etal/>
</person-group>. <article-title>Position statement on the use of bone turnover markers for osteoporosis treatment</article-title>. <source>J Bone Metab</source>. (<year>2019</year>) <volume>26</volume>:<page-range>213&#x2013;24</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.11005/jbm.2019.26.4.213</pub-id>, PMID: <pub-id pub-id-type="pmid">31832387</pub-id></citation></ref>
<ref id="B61">
<label>61</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tian</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>J</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>K</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
<name>
<surname>Jia</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Reference markers of bone turnover for prediction of fracture: a meta-analysis</article-title>. <source>J Orthop Surg Res</source>. (<year>2019</year>) <volume>14</volume>:<fpage>68</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s13018-019-1100-6</pub-id>, PMID: <pub-id pub-id-type="pmid">30819222</pub-id></citation></ref>
<ref id="B62">
<label>62</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Chang</surname> <given-names>YF</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Lewiecki</surname> <given-names>EM</given-names>
</name>
<name>
<surname>W&#xfc;ster</surname> <given-names>C</given-names>
</name>
<name>
<surname>Reid</surname> <given-names>I</given-names>
</name>
<etal/>
</person-group>. <article-title>Consensus statement on the use of bone turnover markers for short-term monitoring of osteoporosis treatment in the Asia-Pacific region</article-title>. <source>J Clin Densitom</source>. (<year>2021</year>) <volume>24</volume>:<fpage>3</fpage>&#x2013;<lpage>13</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jocd.2019.03.004</pub-id>, PMID: <pub-id pub-id-type="pmid">31010789</pub-id></citation></ref>
<ref id="B63">
<label>63</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>J</given-names>
</name>
<name>
<surname>He</surname> <given-names>BC</given-names>
</name>
<name>
<surname>Zuo</surname> <given-names>GW</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>Insulin-like growth factor 2 (IGF-2) potentiates BMP-9-induced osteogenic differentiation and bone formation</article-title>. <source>J Bone Miner Res</source>. (<year>2010</year>) <volume>25</volume>:<page-range>2447&#x2013;59</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jbmr.133</pub-id>, PMID: <pub-id pub-id-type="pmid">20499340</pub-id></citation></ref>
<ref id="B64">
<label>64</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Anupam</surname> <given-names>K</given-names>
</name>
<name>
<surname>Dana</surname> <given-names>E</given-names>
</name>
<name>
<surname>Jennifer</surname> <given-names>RG</given-names>
</name>
<name>
<surname>Ian</surname> <given-names>DH</given-names>
</name>
<name>
<surname>Castro</surname> <given-names>MR</given-names>
</name>
</person-group>. <article-title>Predicting outcomes in sporadic and hereditary medullary thyroid carcinoma over two decades</article-title>. <source>Thyroid</source>. (<year>2021</year>) <volume>31</volume>:<page-range>616&#x2013;26</page-range>. doi: <pub-id pub-id-type="doi">10.1089/thy.2020.0167</pub-id>, PMID: <pub-id pub-id-type="pmid">33108969</pub-id></citation></ref>
<ref id="B65">
<label>65</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mentzel</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kynast</surname> <given-names>T</given-names>
</name>
<name>
<surname>Kohlmann</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kirsten</surname> <given-names>H</given-names>
</name>
<name>
<surname>Bl&#xfc;her</surname> <given-names>M</given-names>
</name>
<name>
<surname>Simon</surname> <given-names>JC</given-names>
</name>
<etal/>
</person-group>. <article-title>Reduced serum levels of bone formation marker P1NP in psoriasis</article-title>. <source>Front Med (Lausanne)</source>. (<year>2021</year>) <volume>8</volume>:<elocation-id>730164</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fmed.2021.730164</pub-id>, PMID: <pub-id pub-id-type="pmid">34660638</pub-id></citation></ref>
<ref id="B66">
<label>66</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Samoszuk</surname> <given-names>M</given-names>
</name>
<name>
<surname>Leuther</surname> <given-names>M</given-names>
</name>
<name>
<surname>Hoyle</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Role of serum P1NP measurement for monitoring treatment response in osteoporosis</article-title>. <source>biomark Med</source>. (<year>2008</year>) <volume>2</volume>:<fpage>495</fpage>&#x2013;<lpage>508</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2217/17520363.2.5.495</pub-id>, PMID: <pub-id pub-id-type="pmid">20477426</pub-id></citation></ref>
<ref id="B67">
<label>67</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kohrt</surname> <given-names>WM</given-names>
</name>
<name>
<surname>Wherry</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Wolfe</surname> <given-names>P</given-names>
</name>
<name>
<surname>Sherk</surname> <given-names>VD</given-names>
</name>
<name>
<surname>Wellington</surname> <given-names>T</given-names>
</name>
<name>
<surname>Swanson</surname> <given-names>CM</given-names>
</name>
<etal/>
</person-group>. <article-title>Maintenance of serum ionized calcium during exercise attenuates parathyroid hormone and bone resorption responses</article-title>. <source>J Bone Miner Res</source>. (<year>2018</year>) <volume>33</volume>:<page-range>1326&#x2013;34</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jbmr.3428</pub-id>, PMID: <pub-id pub-id-type="pmid">29572961</pub-id></citation></ref>
<ref id="B68">
<label>68</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dirckx</surname> <given-names>N</given-names>
</name>
<name>
<surname>Moorer</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Clemens</surname> <given-names>TL</given-names>
</name>
<name>
<surname>Riddle</surname> <given-names>RC</given-names>
</name>
</person-group>. <article-title>The role of osteoblasts in energy homeostasis</article-title>. <source>Nat Rev Endocrinol</source>. (<year>2019</year>) <volume>15</volume>:<page-range>651&#x2013;65</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41574-019-0246-y</pub-id>, PMID: <pub-id pub-id-type="pmid">31462768</pub-id></citation></ref>
<ref id="B69">
<label>69</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>S</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Exercise maintains bone&#xa0;homeostasis by promoting osteogenesis through STAT3</article-title>. <source>Int J Biol Sci</source>. (<year>2023</year>) <volume>19</volume>:<page-range>2021&#x2013;33</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.7150/ijbs.82744</pub-id>, PMID: <pub-id pub-id-type="pmid">37151888</pub-id></citation></ref>
<ref id="B70">
<label>70</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hiam</surname> <given-names>D</given-names>
</name>
<name>
<surname>Landen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Jacques</surname> <given-names>M</given-names>
</name>
<name>
<surname>Voisin</surname> <given-names>S</given-names>
</name>
<name>
<surname>Alvarez-Romero</surname> <given-names>J</given-names>
</name>
<name>
<surname>Byrnes</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Osteocalcin and its forms respond similarly to exercise in males and females</article-title>. <source>Bone</source>. (<year>2021</year>) <volume>144</volume>:<fpage>115818</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bone.2020.115818</pub-id>, PMID: <pub-id pub-id-type="pmid">33338665</pub-id></citation></ref>
<ref id="B71">
<label>71</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tobeiha</surname> <given-names>M</given-names>
</name>
<name>
<surname>Moghadasian</surname> <given-names>MH</given-names>
</name>
<name>
<surname>Amin</surname> <given-names>N</given-names>
</name>
<name>
<surname>Jafarnejad</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>RANKL/RANK/OPG pathway: A mechanism involved in exercise-induced bone remodeling</article-title>. <source>BioMed Res Int</source>. (<year>2020</year>) <volume>2020</volume>:<fpage>6910312</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1155/2020/6910312</pub-id>, PMID: <pub-id pub-id-type="pmid">32149122</pub-id></citation></ref>
<ref id="B72">
<label>72</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pichler</surname> <given-names>K</given-names>
</name>
<name>
<surname>Loreto</surname> <given-names>C</given-names>
</name>
<name>
<surname>Leonardi</surname> <given-names>R</given-names>
</name>
<name>
<surname>Reuber</surname> <given-names>T</given-names>
</name>
<name>
<surname>Weinberg</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Musumeci</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>RANKL is downregulated in bone cells by physical activity (treadmill and vibration stimulation training) in rat with glucocorticoid-induced osteoporosis</article-title>. <source>Histol Histopathol</source>. (<year>2013</year>) <volume>28</volume>:<page-range>1185&#x2013;96</page-range>. doi: <pub-id pub-id-type="doi">10.14670/HH-28.1185</pub-id>, PMID: <pub-id pub-id-type="pmid">23553492</pub-id></citation></ref>
<ref id="B73">
<label>73</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rubin</surname> <given-names>J</given-names>
</name>
<name>
<surname>Murphy</surname> <given-names>T</given-names>
</name>
<name>
<surname>Nanes</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Fan</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Mechanical strain inhibits expression of osteoclast differentiation factor by murine stromal cells</article-title>. <source>Am J Physiol Cell Physiol</source>. (<year>2000</year>) <volume>278</volume>:<page-range>C1126&#x2013;32</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1152/ajpcell.2000.278.6.C1126</pub-id>, PMID: <pub-id pub-id-type="pmid">10837340</pub-id></citation></ref>
<ref id="B74">
<label>74</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kharroubi</surname> <given-names>A</given-names>
</name>
<name>
<surname>Saba</surname> <given-names>E</given-names>
</name>
<name>
<surname>Smoom</surname> <given-names>R</given-names>
</name>
<name>
<surname>Bader</surname> <given-names>K</given-names>
</name>
<name>
<surname>Darwish</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>Serum 25-hydroxyvitamin D and bone turnover markers in Palestinian postmenopausal osteoporosis and normal women</article-title>. <source>Arch Osteoporos</source>. (<year>2017</year>) <volume>12</volume>:<fpage>13</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s11657-017-0306-7</pub-id>, PMID: <pub-id pub-id-type="pmid">28124221</pub-id></citation></ref>
<ref id="B75">
<label>75</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wei</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xiang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>K</given-names>
</name>
<name>
<surname>Han</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Exploring the relationship of bone turnover markers and bone mineral density in community-dwelling postmenopausal women</article-title>. <source>Dis Markers</source>. (<year>2021</year>) <volume>2021</volume>:<fpage>6690095</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1155/2021/6690095</pub-id>, PMID: <pub-id pub-id-type="pmid">33968284</pub-id></citation></ref>
<ref id="B76">
<label>76</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Azimi-Shomali</surname> <given-names>S</given-names>
</name>
<name>
<surname>Farshbaf-Khalili</surname> <given-names>A</given-names>
</name>
<name>
<surname>Eslamian</surname> <given-names>F</given-names>
</name>
<name>
<surname>Dolatkhah</surname> <given-names>N</given-names>
</name>
<name>
<surname>Ghassab-Abdollahi</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>The relationship between usual daily physical activity with serum markers related to bone metabolism and demographic characteristics in postmenopausal women aged 50&#x2013;65 years</article-title>. <source>J Phys Act Health</source>. (<year>2022</year>) <volume>19</volume>:<page-range>417&#x2013;24</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1123/jpah.2021-0495</pub-id>, PMID: <pub-id pub-id-type="pmid">35551114</pub-id></citation></ref>
<ref id="B77">
<label>77</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>MH</given-names>
</name>
<name>
<surname>Shin</surname> <given-names>JS</given-names>
</name>
</person-group>. <article-title>Effects of weight-bearing exercise on bone metabolism in college women</article-title>. <source>Taehan Kanho Hakhoe Chi</source>. (<year>2004</year>) <volume>34</volume>:<page-range>760&#x2013;70</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4040/jkan.2004.34.5.760</pub-id>, PMID: <pub-id pub-id-type="pmid">15502441</pub-id></citation></ref>
<ref id="B78">
<label>78</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Xia</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Ji</surname> <given-names>C</given-names>
</name>
<name>
<surname>Dai</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Response of bone metabolism markers to ice swimming in regular practitioners</article-title>. <source>Front Physiol</source>. (<year>2021</year>) <volume>12</volume>:<elocation-id>731523</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fphys.2021.731523</pub-id>, PMID: <pub-id pub-id-type="pmid">34899374</pub-id></citation></ref>
<ref id="B79">
<label>79</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Min-Jae</surname> <given-names>K</given-names>
</name>
<name>
<surname>Do-Yeon</surname> <given-names>K</given-names>
</name>
<name>
<surname>Sol</surname> <given-names>H</given-names>
</name>
<name>
<surname>Jung-Sook</surname> <given-names>K</given-names>
</name>
<name>
<surname>Eadric</surname> <given-names>B</given-names>
</name>
<name>
<surname>Jong-Won</surname> <given-names>K</given-names>
</name>
</person-group>. <article-title>Effect Of Combined Exercise On Lung Function, Blood Vitamin D, Calcium And Bone Metabolism Hormones In Elderly Women: 2365 Board #284 May 28 3:00 PM - 4:30 PM</article-title>. <source>Med Sci Sports Exercise</source>. (<year>2020</year>) <volume>52</volume>:<page-range>638&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1249/01.mss0000681248.22186.ab</pub-id>
</citation></ref>
<ref id="B80">
<label>80</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname> <given-names>SM</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>K</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>XF</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>YW</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>MZ</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>Association of 25-hydroxyvitamin D levels with lipid profiles in osteoporosis patients: a retrospective cross-sectional study</article-title>. <source>J Orthop Surg Res</source>. (<year>2023</year>) <volume>18</volume>:<fpage>597</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s13018-023-04079-8</pub-id>, PMID: <pub-id pub-id-type="pmid">37574564</pub-id></citation></ref>
<ref id="B81">
<label>81</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Groenendijk</surname> <given-names>I</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>R</given-names>
</name>
<name>
<surname>Woo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ong</surname> <given-names>S</given-names>
</name>
<name>
<surname>Parikh</surname> <given-names>P</given-names>
</name>
<name>
<surname>Bragt</surname> <given-names>MCE</given-names>
</name>
<etal/>
</person-group>. <article-title>A combined nutrition and exercise intervention influences serum vitamin B-12 and 25-hydroxyvitamin D and bone turnover of healthy Chinese middle-aged and older adults</article-title>. <source>J Nutr</source>. (<year>2020</year>) <volume>150</volume>:<page-range>2112&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/jn/nxaa149</pub-id>, PMID: <pub-id pub-id-type="pmid">32588047</pub-id></citation></ref>
<ref id="B82">
<label>82</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stunes</surname> <given-names>AK</given-names>
</name>
<name>
<surname>Brobakken</surname> <given-names>CL</given-names>
</name>
<name>
<surname>Sujan</surname> <given-names>MAJ</given-names>
</name>
<name>
<surname>Aag&#xe5;rd</surname> <given-names>N</given-names>
</name>
<name>
<surname>Brevig</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Acute effects of strength and endurance training on bone turnover markers in young adults and elderly men</article-title>. <source>Front Endocrinol (Lausanne)</source>. (<year>2022</year>) <volume>13</volume>:<elocation-id>915241</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fendo.2022.915241</pub-id>, PMID: <pub-id pub-id-type="pmid">35846315</pub-id></citation></ref>
<ref id="B83">
<label>83</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kistler-Fischbacher</surname> <given-names>M</given-names>
</name>
<name>
<surname>Weeks</surname> <given-names>BK</given-names>
</name>
<name>
<surname>Beck</surname> <given-names>BR</given-names>
</name>
</person-group>. <article-title>The effect of exercise intensity on bone in postmenopausal women (part 2): A meta-analysis</article-title>. <source>Bone</source>. (<year>2021</year>) <volume>143</volume>:<fpage>115697</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bone.2020.115697</pub-id>, PMID: <pub-id pub-id-type="pmid">33357834</pub-id></citation></ref>
</ref-list>
</back>
</article>