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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1627867</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Global epidemiology, burden, and causes of lower extremity and pelvic fractures in the past 32&#x202F;years</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Cun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2677885/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Qingyun</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Orthopaedics, The Fifth Affiliated Hospital of Guangxi Medical University</institution>, <addr-line>Nanning</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Microbiological Testing, Nanning Municipal Center for Disease Control and Prevention</institution>, <addr-line>Nanning</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: George Simeakis, 401 General Military Hospital of Athens, Greece</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Ifigenia Kostoglou-Athanassiou, Asklepeion General Hospital, Greece</p>
<p>George Trovas, KAT Hospital, Greece</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Cun Li, <email>licun@sr.gxmu.edu.cn</email></corresp>
<fn fn-type="other" id="fn0001"><p><sup>&#x2020;</sup>ORCID: Cun Li, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0009-0006-6741-8075">https://orcid.org/0009-0006-6741-8075</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1627867</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Li and Lin.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Li and Lin</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 id="sec1">
<title>Background</title>
<p>Lower extremity and pelvic fractures (LEPFs) are common and debilitating injuries with substantial global health and economic burden, yet comprehensive epidemiological data remain limited.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Based on Global Burden of Disease 2021, we analyzed incidence, years lived with disability (YLDs), and causes of LEPFs across 204 countries from 1990 to 2021, along with their temporal trends. The impact of age, sex and Socio-Demographic Index (SDI) was considered.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>In 2021, 78.05 million new LEPF cases were reported globally, a 32% increase since 1990. Despite this, the age-standardized incidence rate (ASIR) declined annually by 0.68%, reaching 974.98 per 100,000 population in 2021. For anatomic subtypes, fractures of the patella, tibia or fibula, or ankle were most common (34.96 million), while hip fractures showed the largest increase for incident cases (126%) and a significant rising ASIR among males (0.21% annually). Conflict-affected countries in the Middle East and Africa saw the sharpest rises in LEPF burden. SDI correlated with elevated ASIR and age-standardized YLD rates (ASYR), particularly at SDI&#x202F;&#x003E;&#x202F;0.7. Falls were the leading cause, followed by road injuries. YLDs peaked among adults aged 45&#x2013;60, with ASYR rising sharply in older populations. The disability burden increased during COVID-19 pandemic, exposing vulnerabilities in global fracture care systems.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>LEPFs remain a significant public health challenge, driven by population aging, regional instability and osteoporosis. Hip fractures in males and LEPFs in conflict zones demand urgent attention. Strengthening fall prevention, implementing comprehensive osteoporosis management including sex-inclusive approaches, and targeted prevention strategies is essential to mitigating the global burden of LEPFs.</p>
</sec>
</abstract>
<kwd-group>
<kwd>lower extremity and pelvic fractures</kwd>
<kwd>epidemiology</kwd>
<kwd>disease burden</kwd>
<kwd>risk factors</kwd>
<kwd>GBD 2021</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="3"/>
<ref-count count="50"/>
<page-count count="13"/>
<word-count count="8092"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Injury Prevention and Control</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Lower extremity and pelvic fractures (LEPFs) account for approximately 30% of all fractures, significantly impairing patients&#x2019; mobility and joint function, and may lead to severe complications such as shock, deep vein thrombosis, systemic organ damage, and infections, thereby posing substantial global health and economic burdens (<xref ref-type="bibr" rid="ref1 ref2 ref3">1&#x2013;3</xref>). A study based on the Danish National Patient Registry reported 30-day mortality rates of 10% for femoral fractures, 2% for tibial fractures, and 1% for foot and ankle fractures (<xref ref-type="bibr" rid="ref4">4</xref>). Regarding functional outcomes, LEPFs profoundly impact on patients&#x2019; functional autonomy. Clinical investigations reveal that more than 60% of femur fracture patients experience reduced self-sufficiency, requiring external support for routine tasks. Longitudinal follow-up data indicate persistent care dependency among these patients, with 33% still requiring care-giving support one year after the injury (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>). From an economic perspective, a study from Netherlands reported that LEPFs accounted for the highest proportion of injury-related medical expenses, with hip fractures alone costing an average of &#x20AC;20,000 per patient (<xref ref-type="bibr" rid="ref7">7</xref>). Another study based on Medical Expenditure Panel Survey in the U. S. found that the total expenditure and out-of-pocket costs associated with LEPFs have increased significantly over the past decade, outpacing the growth of general health-care costs (<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>The risk factors contributing to LEPFs are multifactorial, encompassing age, sex, deficiencies in calcium and vitamin D, osteoporosis, as well as traumatic events (<xref ref-type="bibr" rid="ref3">3</xref>). Among these, trauma stands out as the primary cause of LEPFs, and implementing targeted strategies to mitigate trauma-related risks appears to be a practical and achievable approach (<xref ref-type="bibr" rid="ref9">9</xref>). Furthermore, osteoporosis, characterized by reduced bone density and microarchitectural deterioration, is a common condition in the older adult population and significantly increases skeletal fragility, thereby elevating the risk of LEPFs even with low-impact trauma (<xref ref-type="bibr" rid="ref10">10</xref>). In addition, prior research has demonstrated a correlation between the incidence of hip fractures and socioeconomic development (<xref ref-type="bibr" rid="ref6">6</xref>). However, the association between socioeconomic status and other subtypes of LEPFs remains unclear. In view of these factors, there is a pressing need for a comprehensive and up-to-date epidemiological assessment of LEPFs. Nevertheless, existing studies have been predominantly limited to single-country analyses, and many countries worldwide still lack related data on LEPFs (<xref ref-type="bibr" rid="ref11">11</xref>). Moreover, no studies have assessed the disability burden associated with LEPFs at different anatomical sites, and current research lacked comprehensive evaluations of relevant risk factors.</p>
<p>The Global Burden of Disease Study 2021 (GBD 2021), representing the most up-to-date and comprehensive global resource on disease epidemiology and burden, encompasses data on 459 health outcomes and 88 risk factors across 204 countries and territories from 1990 to 2021 (<xref ref-type="bibr" rid="ref12">12</xref>). In this study, we utilized the updated GBD 2021 data to conduct a comprehensive epidemiological assessment of LEPFs, analyze age- and sex-specific disparities, examine inequalities in disease burden and associated risk factors, with the aim of informing evidence-based and targeted policy-making.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Data and measures</title>
<p>In this analysis, based on the GBD 2021 obtained from the Global Health Data Exchange (<ext-link xlink:href="https://vizhub.healthdata.org/gbd-results/" ext-link-type="uri">https://vizhub.healthdata.org/gbd-results/</ext-link>), we focused on LEPFs, including the total LEPFs and the following anatomic sites: (1) pelvic; (2) hip; (3) femur, excluding femoral neck; (4) patella, tibia or fibula, or ankle; and (5) foot bones excluding the ankle. We specifically extracted data on the incidence and years lived with disability (YLD) of LEPFs, including the number of cases and age-standardized rates, to assess the epidemiology and burden of LEPFs. The number of incident cases represents the total count of newly diagnosed cases within a given year, whereas the age-standardized incidence rate (ASIR) reflects the proportion of new cases relative to the population at risk. YLDs represent the number of years lived with disability attributable to LEPFs, capturing the duration and severity of health loss, and thus indicating their impact on quality of life. The age-standardized YLD rate (ASYR) indicates the proportion of YLDs in the at-risk population. These measures were presented as point estimates with their corresponding 95% uncertainty intervals (UIs) (<xref ref-type="bibr" rid="ref13">13</xref>).</p>
</sec>
<sec id="sec8">
<title>Percentage change and estimated annual percentage change</title>
<p>To illustrate the total trends in the total number of cases, we calculated the percentage change (PC) in incident cases and YLDs for LEPFs from 1990 to 2021, using the following formula:</p>
<disp-formula id="E1">
<mml:math id="M1">
<mml:mi>P</mml:mi>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:mn>1990</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2021</mml:mn>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mtext mathvariant="italic">Case</mml:mtext>
<mml:msub>
<mml:mi>s</mml:mi>
<mml:mn>2021</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mtext mathvariant="italic">Case</mml:mtext>
<mml:msub>
<mml:mi>s</mml:mi>
<mml:mn>1990</mml:mn>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>/</mml:mo>
<mml:mtext mathvariant="italic">Number of Case</mml:mtext>
<mml:msub>
<mml:mi>s</mml:mi>
<mml:mn>1990</mml:mn>
</mml:msub>
</mml:math>
</disp-formula>
<p>To assess the average annual trend in the ASIR and ASYR of LEPFs, we used the Estimated Annual Percentage Change (EAPC). The EAPC is calculated by fitting a linear regression model to the natural logarithm of the rates (e.g., ASIR or ASYR), with the calendar year as the independent variable. The formula is as follows:</p>
<disp-formula id="E2">
<mml:math id="M2">
<mml:mo>ln</mml:mo>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mtext>Rates</mml:mtext>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mi>&#x03B1;</mml:mi>
<mml:mo>+</mml:mo>
<mml:msup>
<mml:mi>&#x03B2;</mml:mi>
<mml:mo>&#x2217;</mml:mo>
</mml:msup>
<mml:mtext>Year</mml:mtext>
<mml:mo>+</mml:mo>
<mml:mi>&#x03C3;</mml:mi>
<mml:mo>.</mml:mo>
</mml:math>
</disp-formula>
<disp-formula id="E3">
<mml:math id="M3">
<mml:mtext>EAPC</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mo>exp</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi>&#x03B2;</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>&#x2217;</mml:mo>
<mml:mn>100.</mml:mn>
</mml:math>
</disp-formula>
<p>In this equation, the sign of the EAPC corresponds to the sign of the regression coefficient (&#x03B2;), indicating the direction of the trend in the measured indicator over time. The 95% confidence interval (CI) of the EAPC is derived from the standard error of the regression coefficient.</p>
</sec>
<sec id="sec9">
<title>Causes of injury</title>
<p>In the GBD 2021 framework, the causes of diseases and injuries are categorized hierarchically into four levels. Level 1 causes represent broad categories, including Non-communicable diseases, Communicable diseases, Maternal, neonatal, and nutritional diseases, and Injuries. Causes of fractures are primarily categorized under the Injuries section. Our analysis focuses on Level 3 causes under the Injuries category, which includes 16 distinct causes such as falls, road injuries, exposure to mechanical forces, interpersonal violence, self-harm, and natural disasters, among others. We concentrated on the top five causes that contribute most significantly to LEPFs and their anatomic subtypes.</p>
</sec>
<sec id="sec10">
<title>Correlation analysis between socio-demographic index and LEPFs</title>
<p>The Socio-demographic Index (SDI) is a composite measure used to reflect the level of social and demographic development of a given region. The calculation of the SDI is based on three key indicators: the total fertility rate among women under the age of 25, the mean years of education among individuals aged 15&#x202F;years and older, and per capita income. Each region is assigned an SDI score ranging from 0 to 1 (<xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>We employed both linear regression and Locally Estimated Scatterplot Smoothing (LOESS) to examine the relationship between SDI and the ASIR or ASYR of LEPFs. LOESS is a non-parametric regression method that fits the data locally to capture potential non-linear trends (<xref ref-type="bibr" rid="ref14">14</xref>). The combination of linear regression and LOESS allows for a more accurate identification of complex relationships across the SDI spectrum. A LOESS curve was fitted to visualize the overall trend (black line). The results of linear regression are also shown (regression coefficient (<italic>&#x03B2;</italic>), coefficient of determination (<italic>R</italic><sup>2</sup>), and <italic>p</italic>-value), indicating an overall association. &#x03B2;, <italic>R</italic><sup>2</sup>, and p-value were used to assess the explanatory power, correlation, and significance, respectively. A p-value less than 0.004 (0.05/12) was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<title>Results</title>
<sec id="sec12">
<title>Global epidemiology and burden of LEPFs</title>
<p>Globally, from 1990 to 2021, the number of incident cases of total LEPFs and all anatomical subtypes increased (<xref ref-type="fig" rid="fig1">Figure 1A</xref>; <xref ref-type="table" rid="tab1">Table 1</xref>). Incident cases of total LEPFs rose by 32% overall, with a 20% increase in males and a 47% increase in females. Notably, hip fractures showed the largest relative increase&#x2014;126% overall, 114% in females, and 134% in males. In 2021, there were 78.05 million LEPFs globally, with fractures of the patella, tibia or fibula, or ankle accounting for the highest number (34.96 million cases) (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>The number of incident cases and ASIR for total LEPFs and anatomical subtypes by sex, 1990&#x2013;2021. <bold>(A)</bold> The number of incident cases. <bold>(B)</bold> ASIR per 100,000 population. ASIR, age-standardized incidence rate; LEPFs, lower extremity and pelvic fractures.</p>
</caption>
<graphic xlink:href="fpubh-13-1627867-g001.tif">
<alt-text content-type="machine-generated">There are two sets of line graphs labeled A and B, each divided into sections for both genders, male, and female. Graph A shows the number of incident fracture cases from 1990 to 2020, with total lower-extremity and pelvic fractures in red having the highest count, showing a general increase. Graph B depicts the age-standardized incidence rates (ASIR) per 100,000, with the red line showing a decreasing trend. Other colors represent various fracture types, with femur, pelvis, hip, patella, tibia, fibula, ankle, and foot fractures included, each displaying different trends over time.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Global Incident cases and ASIR of LEPFs between 1990 and 2021, and their temporal trends.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Fracture site</th>
<th align="center" valign="top" colspan="3">Number of incident cases</th>
<th align="center" valign="top" colspan="3">ASIR</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">1990 (95% UI)</th>
<th align="center" valign="top">2021 (95% UI)</th>
<th align="center" valign="top">PC</th>
<th align="center" valign="top">1990 (95% UI)</th>
<th align="center" valign="top">2021 (95% UI)</th>
<th align="center" valign="top">EAPC (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="7">Total LEPFs</td>
</tr>
<tr>
<td align="left" valign="middle">Both</td>
<td align="center" valign="middle">59,202,582 (47,687,840, 73,526,077)</td>
<td align="center" valign="middle">78,046,598 (61,229,471, 99,113,574)</td>
<td align="center" valign="middle">0.32</td>
<td align="center" valign="middle">1181.58 (944.65, 1473.31)</td>
<td align="center" valign="middle">974.98 (766.6, 1235.14)</td>
<td align="center" valign="middle">&#x2212;0.68 (&#x2212;0.72, &#x2212;0.64)</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">25,608,835 (19,802,920, 32,953,747)</td>
<td align="center" valign="middle">37,615,184 (28,190,952, 49,124,083)</td>
<td align="center" valign="middle">0.47</td>
<td align="center" valign="middle">1036.16 (797.89, 1334.55)</td>
<td align="center" valign="middle">895.37 (673.38, 1168.39)</td>
<td align="center" valign="middle">&#x2212;0.54 (&#x2212;0.59, &#x2212;0.5)</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">33,593,748 (27,590,847, 40,964,709)</td>
<td align="center" valign="middle">40,431,413 (32,881,434, 50,063,036)</td>
<td align="center" valign="middle">0.2</td>
<td align="center" valign="middle">1285.09 (1054.22, 1569.57)</td>
<td align="center" valign="middle">1028.04 (835.46, 1272.49)</td>
<td align="center" valign="middle">&#x2212;0.77 (&#x2212;0.81, &#x2212;0.73)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">Fracture of pelvis</td>
</tr>
<tr>
<td align="left" valign="middle">Both</td>
<td align="center" valign="middle">3,604,239 (2,794,736, 4,801,902)</td>
<td align="center" valign="middle">4,524,448 (3,283,345, 6,583,735)</td>
<td align="center" valign="middle">0.26</td>
<td align="center" valign="middle">73.04 (55.6, 98.92)</td>
<td align="center" valign="middle">56 (40.96, 81.22)</td>
<td align="center" valign="middle">&#x2212;0.86 (&#x2212;0.92, &#x2212;0.81)</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">1,581,120 (1,155,532, 2,186,808)</td>
<td align="center" valign="middle">2,188,606 (1,462,434, 3,344,409)</td>
<td align="center" valign="middle">0.38</td>
<td align="center" valign="middle">64.91 (46.34, 92)</td>
<td align="center" valign="middle">51.55 (34.73, 77.11)</td>
<td align="center" valign="middle">&#x2212;0.78 (&#x2212;0.86, &#x2212;0.71)</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">2,023,119 (1,618,229, 2,599,340)</td>
<td align="center" valign="middle">2,335,842 (1,828,366, 3,216,754)</td>
<td align="center" valign="middle">0.15</td>
<td align="center" valign="middle">78.53 (62.44, 102.37)</td>
<td align="center" valign="middle">58.99 (46.01, 81.58)</td>
<td align="center" valign="middle">&#x2212;0.9 (&#x2212;0.95, &#x2212;0.85)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">Fracture of hip</td>
</tr>
<tr>
<td align="left" valign="middle">Both</td>
<td align="center" valign="middle">7,483,727 (5,789,986, 9,731,435)</td>
<td align="center" valign="middle">16,941,491 (12,748,027, 22,170,685)</td>
<td align="center" valign="middle">1.26</td>
<td align="center" valign="middle">207.54 (157.98, 268.09)</td>
<td align="center" valign="middle">208.27 (157.02, 271.93)</td>
<td align="center" valign="middle">&#x2212;0.01 (&#x2212;0.05, 0.03)</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">4,645,722 (3,475,067, 6,151,968)</td>
<td align="center" valign="middle">10,870,656 (8,004,569, 14,177,299)</td>
<td align="center" valign="middle">1.34</td>
<td align="center" valign="middle">234 (174.71, 307.98)</td>
<td align="center" valign="middle">234.62 (173.11, 306.92)</td>
<td align="center" valign="middle">&#x2212;0.01 (&#x2212;0.05, 0.03)</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">2,838,005 (2,233,747, 3,620,060)</td>
<td align="center" valign="middle">6,070,835 (4,698,684, 7,939,123)</td>
<td align="center" valign="middle">1.14</td>
<td align="center" valign="middle">154.98 (121.29, 198.81)</td>
<td align="center" valign="middle">165.58 (127.99, 215.87)</td>
<td align="center" valign="middle">0.21 (0.16, 0.26)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">Fracture of femur, other than femoral neck</td>
</tr>
<tr>
<td align="left" valign="middle">Both</td>
<td align="center" valign="middle">8,559,886 (7,018,864, 10,645,221)</td>
<td align="center" valign="middle">11,566,429 (8,890,197, 15,048,861)</td>
<td align="center" valign="middle">0.35</td>
<td align="center" valign="middle">167.75 (136.18, 210.54)</td>
<td align="center" valign="middle">143.2 (110.54, 185.62)</td>
<td align="center" valign="middle">&#x2212;0.57 (&#x2212;0.63, &#x2212;0.51)</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">3,623,680 (2,867,566, 4,656,549)</td>
<td align="center" valign="middle">5,408,470 (3,939,064, 7,168,481)</td>
<td align="center" valign="middle">0.49</td>
<td align="center" valign="middle">144.12 (112.07, 185.54)</td>
<td align="center" valign="middle">128.5 (94.24, 170.02)</td>
<td align="center" valign="middle">&#x2212;0.46 (&#x2212;0.54, &#x2212;0.38)</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">4,936,206 (4,078,136, 6,089,809)</td>
<td align="center" valign="middle">6,157,959 (4,982,323, 7,777,555)</td>
<td align="center" valign="middle">0.25</td>
<td align="center" valign="middle">187.13 (154.16, 230.99)</td>
<td align="center" valign="middle">154.42 (125.23, 194.59)</td>
<td align="center" valign="middle">&#x2212;0.64 (&#x2212;0.69, &#x2212;0.59)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">Fracture of patella, tibia or fibula, or ankle</td>
</tr>
<tr>
<td align="left" valign="middle">Both</td>
<td align="center" valign="middle">29,834,211 (24,615,732, 35,568,313)</td>
<td align="center" valign="middle">34,958,294 (28,619,051, 42,091,476)</td>
<td align="center" valign="middle">0.17</td>
<td align="center" valign="middle">555.63 (458.81, 662.39)</td>
<td align="center" valign="middle">439.66 (360.02, 528.34)</td>
<td align="center" valign="middle">&#x2212;0.84 (&#x2212;0.89, &#x2212;0.8)</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">12,162,025 (9,616,117, 15,098,765)</td>
<td align="center" valign="middle">15,195,315 (11,864,039, 19,010,424)</td>
<td align="center" valign="middle">0.25</td>
<td align="center" valign="middle">459.76 (365.22, 568.27)</td>
<td align="center" valign="middle">379.63 (296.5, 475.54)</td>
<td align="center" valign="middle">&#x2212;0.72 (&#x2212;0.76, &#x2212;0.67)</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">17,672,186 (14,874,232, 20,814,881)</td>
<td align="center" valign="middle">19,762,979 (16,616,132, 23,361,845)</td>
<td align="center" valign="middle">0.12</td>
<td align="center" valign="middle">644.15 (543.84, 754.79)</td>
<td align="center" valign="middle">495.26 (416.58, 585.28)</td>
<td align="center" valign="middle">&#x2212;0.93 (&#x2212;0.97, &#x2212;0.89)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">Fracture of foot bones except ankle</td>
</tr>
<tr>
<td align="left" valign="middle">Both</td>
<td align="center" valign="middle">9,720,519 (7,468,522, 12,779,206)</td>
<td align="center" valign="middle">10,055,936 (7,688,851, 13,218,817)</td>
<td align="center" valign="middle">0.03</td>
<td align="center" valign="middle">177.62 (136.08, 233.37)</td>
<td align="center" valign="middle">127.85 (98.06, 168.03)</td>
<td align="center" valign="middle">&#x2212;1.12 (&#x2212;1.15, &#x2212;1.08)</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">3,596,288 (2,688,638, 4,859,657)</td>
<td align="center" valign="middle">3,952,137 (2,920,846, 5,423,470)</td>
<td align="center" valign="middle">0.1</td>
<td align="center" valign="middle">133.37 (99.55, 180.76)</td>
<td align="center" valign="middle">101.07 (74.8, 138.8)</td>
<td align="center" valign="middle">&#x2212;0.96 (&#x2212;1, &#x2212;0.92)</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">6,124,232 (4,786,503, 7,840,619)</td>
<td align="center" valign="middle">6,103,798 (4,755,929, 7,767,759)</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">220.3 (172.49, 282.61)</td>
<td align="center" valign="middle">153.79 (119.65, 195.17)</td>
<td align="center" valign="middle">&#x2212;1.21 (&#x2212;1.24, &#x2212;1.18)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ASIR, age-standardized incidence rate; EAPC, estimated annual percentage change; LEPFs, lower extremity and pelvic fractures; PC, percentage change; UI, uncertainty intervals; CI, confidence interval.</p>
</table-wrap-foot>
</table-wrap>
<p>From 1990 to 2021, the ASIR of total LEPFs and nearly all anatomical subtypes&#x2014;except for hip fractures&#x2014;declined in both sexes (<xref ref-type="fig" rid="fig1">Figure 1B</xref>). The ASIR of total LEPFs declined at an average annual rate of 0.68% (EAPC: &#x2212;0.68, 95% CI: &#x2212;0.72 to &#x2212;0.64), with a more pronounced decline in males (EAPC: &#x2212;0.77, 95% CI: &#x2212;0.81 to &#x2212;0.73). Among anatomical subtypes, the greatest ASIR decline was observed in foot fractures, decreasing by 1.12% annually overall (1.21% in males, 0.96% in females). In contrast, the ASIR of hip fractures remained stable in females and the total population (EAPC: &#x2212;0.01, 95% CI: &#x2212;0.05 to 0.03), but showed an annual increase of 0.21% in males (EAPC: 0.21, 95% UI: 0.16 to 0.26), making it the only subtype with an upward trend. In 2021, the ASIR of total LEPFs was 974.98 per 100,000 population&#x2014;1028.04 in males and 895.37 in females. Among anatomical subtypes, the highest ASIR was seen in fractures of the patella, tibia or fibula, or ankle (439.66 per 100,000), followed by hip (208.27 per 100,000), femur (143.2 per 100,000), foot (127.85 per 100,000), and pelvis (56 per 100,000). ASIRs were higher in males than in females across all subtypes except hip fractures (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<p>Globally, from 1990 to 2021, the number of YLDs of total LEPFs and all subtypes increased, mirroring trends in incidence (<xref ref-type="sec" rid="sec33">Supplementary Figure S1A</xref>). However, the ASYR of total LEPFs and all subtypes decreased. The largest decline in ASYR was observed in pelvic fractures, with an average annual reduction of 1.3% overall (EAPC: &#x2212;1.3, 95% CI: &#x2212;1.37 to &#x2212;1.23), 1.34% for male (EAPC:-1.34, 95% CI: &#x2212;1.42 to &#x2212;1.27), and 1.24% for female (EAPC:-1.24, 95% CI: &#x2212;1.31 to &#x2212;1.27) (<xref ref-type="sec" rid="sec33">Supplementary Figure S1B</xref>; <xref ref-type="sec" rid="sec33">Supplementary Table S1</xref>). Notably, the ASYR of total LEPFs showed an upward trend after 2019 (<xref ref-type="sec" rid="sec33">Supplementary Figure S1B</xref>).</p>
</sec>
<sec id="sec13">
<title>Epidemiology and burden of LEPFs across 204 countries and territories</title>
<p>In 2021, in terms of the incident cases, femoral fractures had the highest counts in China, India, and Russia. For total LEPFs and other anatomic types, the highest incident cases were observed in China, India, and the United States (<xref ref-type="sec" rid="sec33">Supplementary Figure S2</xref>). Regarding the percentage change in incident cases between 1990 and 2021, the largest increases were found in Middle Eastern and African countries, such as the United Arab Emirates, Afghanistan, Qatar, and Yemen (<xref ref-type="sec" rid="sec33">Supplementary Figure S3</xref>). Notably, for hip fractures, substantial percentage increases were also observed in Canada, China, and countries in Oceania (<xref ref-type="sec" rid="sec33">Supplementary Figure S3C</xref>).</p>
<p>In 2021, the ASIR of LEPFs varied across countries, with the highest rates primarily observed in developed economies as classified by the World Bank. For total LEPFs, the top three countries with the highest incidence rates were New Zealand (2,655.9 per 100,000), Slovenia (2,516.7 per 100,000), and Australia (2,406.2 per 100,000). For pelvic fractures, the countries with the highest incidence rates were Slovenia (439.5 per 100,000), Afghanistan (396.4 per 100,000), and Croatia (375.2 per 100,000). For hip fractures, the countries with the highest incidence rates were Andorra (649.8 per 100,000), Norway (522.7 per 100,000), and Switzerland (512.6 per 100,000). For femoral fractures, the countries with the highest incidence rates were Slovenia (439.5 per 100,000), Afghanistan (396.4 per 100,000), and Croatia (375.2 per 100,000). For patella, tibia or fibula, or ankle fractures, the three countries with the highest incidence rates were Slovenia (1167.7 per 100,000), Saudi Arabia (1167.7 per 100,000), and New Zealand (1135.1 per 100,000). For foot bone fractures, the countries with the highest incidence rates were New Zealand (823.5 per 100,000), Australia (697.0 per 100,000), and Uruguay (587.0 per 100,000). Additionally, Russia exhibited high ASIRs for LEPFs, excluding hip and foot bone fractures. Countries in Asia, Middle East, North Africa, and Latin America showed notably high ASIRs for fractures of the pelvis and femur (<xref ref-type="fig" rid="fig2">Figure 2</xref>). In terms of the EAPC of ASIR, total LEPFs and all subtypes showed the highest average annual percentage increases in Middle Eastern and African countries, such as Syria, Libya, and Yemen. Notably, for hip fractures, marked increases were also observed in some high-income countries, including Australia, Canada, and the United States. (<xref ref-type="sec" rid="sec33">Supplementary Figure S4</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>ASIR for total LEPFs and anatomical subtypes across 204 countries and territories in 2021. <bold>(A)</bold> The overall LEPFs. <bold>(B)</bold> Fracture of pelvis. <bold>(C)</bold> Fracture of hip. <bold>(D)</bold> Fracture of femur, other than femoral neck. <bold>(E)</bold> Fracture of patella, tibia or fibula, or ankle. <bold>(F)</bold> Fracture of foot bones except ankle. ASIR, age-standardized incidence rate; LEPFs, lower extremity and pelvic fractures.</p>
</caption>
<graphic xlink:href="fpubh-13-1627867-g002.tif">
<alt-text content-type="machine-generated">Six world maps labeled A to F show age-standardized incidence rates (ASIR) of different fractures. Each map uses a color scale from green (low incidence) to red (high incidence). A: Total lower-extremity and pelvic fractures. B: Fracture of pelvis. C: Fracture of hip. D: Fracture of femur, excluding neck. E: Fracture of patella, tibia, fibula, or ankle. F: Fracture of foot bones except ankle. Insets highlight specific countries with notable rates.</alt-text>
</graphic>
</fig>
<p>Regarding YLDs, in 2021, the highest numbers for total LEPFs and all subtypes were observed in China, India, and the United States (<xref ref-type="sec" rid="sec33">Supplementary Figure S5</xref>). The percentage change in YLDs between 1990 and 2021 showed an overall increase in most countries, with the highest increases again seen in the Middle East and Africa (<xref ref-type="sec" rid="sec33">Supplementary Figure S6</xref>). For ASYR, considerable variation was observed across countries, with the highest-ranking countries showing a distribution pattern similar to that of ASIR (<xref ref-type="sec" rid="sec33">Supplementary Figure S7</xref>). Regarding the EAPC of ASYR, most countries experienced a decline in total LEPFs and their subtypes. However, increases were noted in some Middle Eastern and African countries. For hip fractures specifically, countries in North America and Oceania&#x2014;such as the United States, Canada, and Australia&#x2014;showed increasing trends (<xref ref-type="sec" rid="sec33">Supplementary Figures S8, S14</xref>).</p>
</sec>
<sec id="sec14">
<title>Age-specific epidemiology and burden of LEPFs</title>
<p>In 2021, the peak age of incident cases for LEPFs varies by fracture site and gender. The peak age of incident cases for total LEPFs, as well as pelvic and femur fractures, was 20&#x2013;24&#x202F;years in males and 80&#x2013;84&#x202F;years in females. For hip fractures, the peak age was 80&#x2013;84&#x202F;years in both sexes. For fractures of the patella, tibia or fibula, or ankle, as well as foot bone fractures, the peak age was 20&#x2013;24&#x202F;years in males and 10&#x2013;14&#x202F;years in females (<xref ref-type="fig" rid="fig3">Figure 3</xref>). In terms of ASIR, in 2021, total LEPFs and all subtypes&#x2014;except for fractures of the patella, tibia or fibula, or ankle, and foot&#x2014;showed higher rates in older age groups, with a sharp increase after age 60. For the two exceptions, ASIR exhibited two peaks: at ages 15&#x2013;24 and 85&#x2013;95 (<xref ref-type="sec" rid="sec33">Supplementary Figure S9</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>The number of incident cases for total LEPFs and anatomical subtypes by age groups in 2021. <bold>(A)</bold> The total LEPFs. <bold>(B)</bold> Fracture of pelvis. <bold>(C)</bold> Fracture of hip. <bold>(D)</bold> Fracture of femur, other than femoral neck. <bold>(E)</bold> Fracture of patella, tibia or fibula, or ankle. <bold>(F)</bold> Fracture of foot bones except ankle. LEPFs, lower extremity and pelvic fractures.</p>
</caption>
<graphic xlink:href="fpubh-13-1627867-g003.tif">
<alt-text content-type="machine-generated">Six line graphs depict fracture rates by age group for both genders. Graph A shows total lower-extremity and pelvic fractures, with rates peaking between ages 75-89. Graph B shows pelvis fractures, highest in those over 70. Graph C displays a sharp increase in hip fractures for ages 75-89. Graph D covers femur fractures, peaking in the same age group. Graph E shows patella, tibia, or fibula fractures, higher in younger age groups. Graph F illustrates foot bone fractures, except ankle, with rates peaking before declining in older age groups. Red represents both genders, green females, blue males.</alt-text>
</graphic>
</fig>
<p>For YLDs, the peak age group for total LEPFs and all subtypes was 45&#x2013;60&#x202F;years. ASYR increased progressively with age for total LEPFs and all subtypes (<xref ref-type="sec" rid="sec33">Supplementary Figures S10, 11</xref>).</p>
</sec>
<sec id="sec15">
<title>Primary causes of LEPFs</title>
<p>From 1990 to 2021, for ASIR, falls were the leading cause of total LEPFs and all anatomical subtypes, followed by road injuries and exposure to mechanical forces. For total LEPFs and pelvic fractures, the ASIR attributable to falls increased from 1990 to 2000, but began to decline after 2000. For hip and femur fractures, the ASIR due to falls increased from 1990 to 2000, decreased from 2000 to 2005, and then began to rise again after 2005. For Fractures of the patella, tibia or fibula, or ankle, and foot, the ASIR attributable to falls declined from 1990 to 2019, but has increased in recent years. Overall, over the past 32&#x202F;years, the ASIRs due to falls for hip and femoral fractures have exhibited an upward trend, whereas those for total LEPFs and other anatomical subtypes have shown an overall decline. Additionally, the ASIR attributable to road injuries and mechanical forces consistently declined from 1990 to 2021 for total LEPFs and all anatomical subtypes. Notably, for foot bone fractures, the ASIR attributable to exposure to mechanical forces was higher than that due to road injuries, making it the second leading cause (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Top 5 causes of ASIR for total LEPFs and anatomical subtypes globally from 1990 to 2,121. <bold>(A)</bold> The total LEPFs. <bold>(B)</bold> Fracture of pelvis. <bold>(C)</bold> Fracture of hip. <bold>(D)</bold> Fracture of femur, other than femoral neck. <bold>(E)</bold> Fracture of patella, tibia or fibula, or ankle. <bold>(F)</bold> Fracture of foot bones except ankle. ASIR, age-standardized incidence rate; LEPFs, lower extremity and pelvic fractures.</p>
</caption>
<graphic xlink:href="fpubh-13-1627867-g004.tif">
<alt-text content-type="machine-generated">Line charts detailing trends in lower-extremity and pelvic fractures from 1990 to 2020. Panels A to F show different fracture types: total lower-extremity and pelvic, pelvis, hip, femur (excluding femoral neck), patella/tibia/fibula/ankle, and foot (excluding ankle). Data sources include falls, road injuries, mechanical forces, interpersonal violence, and conflict. Key trends indicate varied incidence rates, generally decreasing or stable over time, with falls consistently the highest across all fracture types.</alt-text>
</graphic>
</fig>
<p>In terms of ASYR, falls were the leading cause of total LEPFs and all anatomical subtypes. For total LEPFs and all subtypes except for fractures of the hip and femur, the ASYR attributable to falls declined from 1990 to 2019 but has shown upward trend in recent years (2019&#x2013;2021). For hip fractures, the ASYR due to falls decreased from 1990 to 1995, increased from 1995 to 2000, and then continued to decline thereafter. For femoral fractures, the ASYR attributable to falls increased from 1990 to 2000, decreased from 2000 to 2005, and subsequently continued to rise&#x2014;demonstrating an overall increasing trend over the past 32&#x202F;years. In contrast, the ASYR attributable to road injuries and exposure to mechanical forces consistently declined from 1990 to 2021 for total LEPFs and all anatomical subtypes. (<xref ref-type="sec" rid="sec33">Supplementary Figure S12</xref>).</p>
</sec>
<sec id="sec16">
<title>Correlation analysis between SDI and LEPFs</title>
<p>The relationship between SDI and the epidemiology and burden of LEPFs varied across anatomical subtypes (<xref ref-type="fig" rid="fig5">Figure 5</xref>; <xref ref-type="sec" rid="sec33">Supplementary Figure S13</xref>). In terms of ASIR, total LEPFs showed a moderate positive correlation with SDI (<italic>&#x03B2;</italic>&#x202F;=&#x202F;1964.25, <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.395, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="fig" rid="fig5">Figure 5A</xref>). Among anatomical subtypes, fractures of the pelvis (<italic>&#x03B2;</italic>&#x202F;=&#x202F;116.29, <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.371, <italic>p</italic> &#x003C;&#x202F;0.001), hip (<italic>&#x03B2;</italic> =&#x202F;372.95, <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.313, <italic>p</italic> &#x003C;&#x202F;0.001), and foot bones (<italic>&#x03B2;</italic> =&#x202F;479.79, <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.384, <italic>p</italic> &#x003C;&#x202F;0.001) also showed an overall positive association with SDI; however, the slope remained relatively flat when SDI was below 0.7, with a sharp increase observed beyond 0.7 (<xref ref-type="fig" rid="fig5">Figures 5B</xref>,<xref ref-type="fig" rid="fig5">C</xref>). Femur fractures demonstrated a slight increase in ASIR with SDI below 0.8, followed by a notable decline beyond this threshold, resulting in an overall non-significant correlation (<italic>&#x03B2;</italic>&#x202F;=&#x202F;67.02, <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.024, <italic>p</italic>&#x202F;=&#x202F;0.0266) (<xref ref-type="fig" rid="fig5">Figure 5D</xref>). In contrast, fracture of patella, tibia or fibula, or ankle showed the strongest positive correlation with SDI (<italic>&#x03B2;</italic>&#x202F;=&#x202F;923.74, <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.422, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), with ASIR peaking at an SDI value of approximately 0.8 (<xref ref-type="fig" rid="fig5">Figure 5E</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>The correlation between SDI and ASIR for total LEPFs and anatomical subtypes across 204 countries and territories. <bold>(A)</bold> The total LEPFs. <bold>(B)</bold> Fracture of pelvis. <bold>(C)</bold> Fracture of hip. <bold>(D)</bold> Fracture of femur, other than femoral neck. <bold>(E)</bold> Fracture of patella, tibia or fibula, or ankle. <bold>(F)</bold> Fracture of foot bones except ankle. ASIR, age-standardized incidence rate; LEPFs, lower extremity and pelvic fractures; SDI, Socio-demographic Index.</p>
</caption>
<graphic xlink:href="fpubh-13-1627867-g005.tif">
<alt-text content-type="machine-generated">Graphs A to F display the relationship between the sociodemographic index and age-standardized rate (ASR) per 100,000 for various fractures. Each graph includes a trend line and labeled data points for different countries. Graphs show the following fracture types: A) Total lower-extremity and pelvic, B) Pelvis, C) Hip, D) Femur (excluding neck), E) Patella, tibia or fibula, or ankle, F) Foot bones excluding ankle. Statistical values like beta (&#x03B2;), R&#x00B2;, and P-values are provided for each graph, illustrating varying degrees of correlation.</alt-text>
</graphic>
</fig>
<p>In terms of ASYR, the association patterns with SDI were largely consistent with those observed for ASIR. However, for hip fractures, the relationship between ASYR and SDI did not reach statistical significance (<italic>&#x03B2;</italic> =&#x202F;16.88, <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.03, <italic>p</italic>&#x202F;=&#x202F;0.0131) (<xref ref-type="sec" rid="sec33">Supplementary Figure S13</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<title>Discussion</title>
<p>LEPFs represent a significant global public health issue, contributing to considerable social and economic burdens. Although common, the global epidemiology and burden of LEPFs remain insufficiently characterized. Understanding the temporal trends, geographic distribution, and primary causes of LEPFs can help policymakers implement targeted interventions and allocate resources more effectively. This study provides a comprehensive analysis of LEPFs and their anatomical subtypes at the global and national levels, covering epidemiology and disease burden by age and sex, primary causes, and correlations with SDI.</p>
<sec id="sec18">
<title>Global epidemiology and burden of LEPFs</title>
<p>From 1990 to 2021, the incident cases and YLDs of LEPFs and all anatomical subtypes increased, largely driven by population growth. Over the past 32&#x202F;years, the ASIRs for total LEPFs and most subtypes, as well as the ASYRs for total LEPFs and all anatomical subtypes, have declined, reflecting effective injury prevention and improved fracture care. Notably, incident hip fractures increased by 126% from 1990 to 2021, nearly triple the rate of population growth (45.7%) (<xref ref-type="bibr" rid="ref13">13</xref>), while the ASIR remained stable. Given the well-established causal relationship between osteoporosis and hip fractures, with a 10% loss of bone mass can result in a 2.5 times greater risk of hip fracture (<xref ref-type="bibr" rid="ref15">15</xref>), these trends suggest inadequate osteoporosis screening, prevention and treatment, and worsening bone health among elders (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref17">17</xref>). For instance, in the UK, despite a growing aging population, the annual prescription rates of anti-osteoporosis medications have not shown a proportional rise since 2006 (<xref ref-type="bibr" rid="ref18">18</xref>). With global population aging, the absolute number of hip fractures is expected to rise substantially, making the implementation of comprehensive osteoporosis prevention and treatment programs&#x2014;including lifestyle intervention, exercise, universal bone density screening, vitamin D and calcium supplementation, and pharmacological intervention for high-risk individuals&#x2014;an urgent public health priority (<xref ref-type="bibr" rid="ref10">10</xref>).</p>
</sec>
<sec id="sec19">
<title>Epidemiology and burden of LEPFs across different countries</title>
<p>The epidemiology and burden of LEPFs vary significantly across countries, likely reflecting differences in culture, population demographics, economic development, and healthcare infrastructure. In terms of incident cases and YLDs, China, India, and the United States reported the highest numbers, likely due to their large populations. In contrast, countries such as Australia, Slovenia, and New Zealand exhibited the highest ASIR and ASYR, potentially due to higher rates of osteoporosis and participation in high-risk activities (e.g., skiing, extreme sports) (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). Notably, Russia also exhibited high ASIR and ASYR, potentially associated with vitamin D deficiency from limited sunlight exposure (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>), harsh winter conditions that exacerbate fall risks (<xref ref-type="bibr" rid="ref21">21</xref>), demographic aging, and the high prevalence of modifiable risk factors such as smoking and alcohol consumption (<xref ref-type="bibr" rid="ref23">23</xref>).</p>
<p>Over the past three decades, countries in the Middle East and Africa have experienced a marked escalation in the burden of LEPFs, plausibly linked to sustained armed conflicts. Nations including Syria, Yemen, Libya, and Afghanistan&#x2014;characterized by high war-related morbidity and mortality since 1989 (<xref ref-type="bibr" rid="ref24">24</xref>) &#x2014;showed the most pronounced increases in ASIR and ASYR. Prior studies has linked armed conflict to a heightened risk of limb fractures (<xref ref-type="bibr" rid="ref25">25</xref>), aligning with our findings. Moreover, conflicts frequently compromise healthcare infrastructure, impeding access to timely surgical and rehabilitative care and contributing to greater disability (<xref ref-type="bibr" rid="ref26">26</xref>). In addition, for ASIR and ASYR of hip fractures, marked increases in were also observed in some high-income countries, including Australia, Canada, and the United States. As fragility fractures are closely associated with osteoporosis, these trends reflect the growing burden of osteoporosis in aging populations in these developed countries. Reports indicate that over one-third of postmenopausal women in North America are affected by osteoporosis (<xref ref-type="bibr" rid="ref27">27</xref>), yet treatment rates remain suboptimal, with only 25% of individuals at high fracture risk receiving appropriate anti-osteoporotic therapy (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref29">29</xref>).</p>
</sec>
<sec id="sec20">
<title>Sex differences in the epidemiology and burden of LEPFs</title>
<p>Sex-specific disparities were evident in LEPFs burden. ASIR and ASYR for total LEPFs and most subtypes (excluding hip fractures) were consistently higher in males, likely attributed to increased exposure to occupational hazards, high-energy trauma, and risk-prone behaviors (<xref ref-type="bibr" rid="ref30">30</xref>). Previous studies have demonstrated that young and middle-aged men are disproportionately affected by trauma-related LEPFs due to their social roles and lifestyle patterns (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). Conversely, women demonstrated higher rates for hip fractures, predominantly driven by osteoporosis rather than external trauma (<xref ref-type="bibr" rid="ref33">33</xref>). Globally, osteoporosis affects 23.1% of women, and one in three women aged &#x003E;50&#x202F;years will sustain an osteoporotic fracture in their lifetime (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref35">35</xref>). These findings underscore the critical need for implementing evidence-based preventive and therapeutic strategies in osteoporosis management for this high-risk population.</p>
<p>Although the ASIR and ASYR for total LEPFs and most anatomical subtypes (except hip fractures) have declined for both sexes, the rate of decline was more pronounced in males. This can be attributed to enhanced injury prevention strategies that predominantly benefit male-dominated occupations and behaviors (<xref ref-type="bibr" rid="ref36">36</xref>). Stricter occupational safety laws, improvements in traffic regulations, and the normalization of protective sports practices have all contributed to a more rapid decline in trauma-related fractures among men (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>). The ASIR for hip fractures among males has shown a significant upward trend, while remaining relatively stable among females. This discrepancy may be attributed to the long-standing ignore of osteoporosis in men, who are less likely to be screened, diagnosed, or treated for osteoporosis compared to women (<xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref39">39</xref>). A study reported that as many as 86.88% of men with osteoporosis in the US remain undiagnosed, a proportion significantly higher than that of women (64.05%) (<xref ref-type="bibr" rid="ref40">40</xref>). Furthermore, the increasing burden of comorbidities and sarcopenia in aging men contributes to heightened fall risk, potentially exacerbating the burden of hip fractures (<xref ref-type="bibr" rid="ref41">41</xref>). These findings underscore the urgent need for gender-inclusive osteoporosis management and fall prevention strategies (<xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref43">43</xref>).</p>
</sec>
<sec id="sec21">
<title>Age-specific epidemiology and burden of LEPFs</title>
<p>In 2021, the age-specific distribution of LEPFs varied significantly by sex and anatomical site. Incidence in males peaked at ages 20&#x2013;24, likely due to higher exposure to high-energy trauma from occupational, sports, and traffic-related activities (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref44">44</xref>). In contrast, females exhibited a peak at ages 80&#x2013;84, particularly for pelvic, hip, and femur fractures, reflecting a higher susceptibility to fragility fractures (<xref ref-type="bibr" rid="ref45">45</xref>). ASIR for total LEPFs and hip/femur fractures rose sharply after age 60 in both sexes, highlighting the impact of aging and osteoporosis on fracture risk. PTFA and foot fractures showed bimodal peaks at 15&#x2013;24 and 85&#x2013;95&#x202F;years, corresponding to high-energy trauma in youth and low-energy falls in the older adult.</p>
<p>YLDs peaked between ages 45&#x2013;60 across subtypes, a period of high economic productivity, indicating substantial socioeconomic burden. ASYR increased steadily with age, suggesting greater disability in older populations. These findings support age- targeted prevention strategies, including early bone health monitoring, fall prevention for seniors, and injury mitigation in young males.</p>
</sec>
<sec id="sec22">
<title>Primary causes of LEPFs</title>
<p>Our findings indicate that falls were the leading cause of total LEPFs and across all anatomical subtypes from 1990 to 2021, consistent with previous studies (<xref ref-type="bibr" rid="ref13">13</xref>). The increase in fall-related hip and femoral fractures may reflect stagnant osteoporosis treatment, especially in men, and shortcomings in fall prevention strategies (<xref ref-type="bibr" rid="ref37">37</xref>). This underscores the critical need for integrated strategies that simultaneously address bone strength through osteoporosis management and fall risk through environmental modifications, balance and resistance training, and medication review (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref46">46</xref>). In contrast, road injuries and mechanical forces declined over time, likely due to improved traffic safety and injury control measures (<xref ref-type="bibr" rid="ref28">28</xref>). However, mechanical forces remained the second leading cause for foot bone fractures, pointing to persistent occupational or sport-related risks attached to foot bone fractures.</p>
<p>Of note, the overall ASYR and ASYR attributed to falls declined before 2019 but showed an upward trend in recent years, possibly linked to reduced accessibility of healthcare services for fracture during the COVID-19 pandemic. Studies have indicated that the COVID-19 pandemic and national lockdowns did not result in a reduction in fracture incidence, but rather led to a significant decrease in fracture-related hospital admissions (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). For example, in Norway, elective hip surgeries fell to one-third, emergency hip surgeries in men were reduced by half, and Portugal reported an 83% decrease in fracture surgeries during lockdown (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). These findings may provide important lessons for future health policy decisions and highlight the need for resilient health policies to address fracture care during public health crises. Notably, in addition to the effects of the COVID-19 pandemic on the burden of LEPFs identified in this study, its impact on the burden of other diseases, including diabetes, autoimmune disorders and Alzheimer&#x2019;s disease, has also been confirmed by previous studies (<xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref50">50</xref>).</p>
</sec>
<sec id="sec23">
<title>Correlation analysis between SDI and LEPFs</title>
<p>Overall, higher SDI was associated with increased ASIR and ASYR of LEPFs, with this positive correlation becoming more pronounced when SDI exceeded 0.7. This trend likely attributes to aging populations, lower bone mineral density, greater exposure to risk factors such as traffic accidents and falls, and more advanced diagnostic and reporting systems in high-SDI regions. Therefore, targeted prevention strategies are essential for high-SDI countries, particularly those with an SDI above 0.7.</p>
</sec>
</sec>
<sec id="sec24">
<title>Limitation</title>
<p>Despite our study provided these valuable findings, it is crucial to acknowledge inherent limitations of the study. Firstly, GBD estimates are derived from existing primary data (e.g., surveys, hospital records, and literature reports) using complex modeling techniques to extrapolate disease burden across countries and regions. Although GBD 2021 has implemented numerous measures to enhance accuracy, model-based estimates often exhibit a wide range of uncertainty. Secondly, incomplete medical record systems and limited healthcare accessibility for LEPFs in less developed countries may contribute to an underestimation of their actual disease burden. Thirdly, the lag effect of GBD data should be noted.</p>
</sec>
<sec sec-type="conclusions" id="sec25">
<title>Conclusion</title>
<p>This study provides a comprehensive global analysis of the epidemiology, burden, and causes of LEPFs over the past 32&#x202F;years. Although age-standardized incidence and disability rates have generally declined, the absolute number of LEPFs continues to rise, driven by population aging and growth. Significant variations were observed across regions, sexes, and age groups, with hip fractures emerging as a growing concern, especially among older men in high-SDI countries. The incidence and disability burden of LEPFs have significantly increased in conflict-affected regions, warranting attention. Falls remain the leading cause of LEPFs, underscoring the need for enhanced fall prevention and osteoporosis management. The COVID-19 pandemic further exposed vulnerabilities in fracture care systems. In summary, region-, sex- and age-specific prevention strategies tailored to the evolving trends, along with improved healthcare access for osteoporosis management, and enhanced public education specifically focused on osteoporosis awareness and the fracture-osteoporosis connection, are critical to mitigating the global burden of LEPFs.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec26">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="sec33">Supplementary material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec sec-type="ethics-statement" id="sec27">
<title>Ethics statement</title>
<p>The studies involving humans were approved by all the datasets in this study were from publicly accessible data online, with no original data collection involved; thus, ethical committee approval was not needed. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin because all the datasets in this study were from publicly accessible data online, with no original data collection involved; thus, ethical committee approval was not needed.</p>
</sec>
<sec sec-type="author-contributions" id="sec28">
<title>Author contributions</title>
<p>CL: Conceptualization, Data curation, Investigation, Software, Writing &#x2013; review &#x0026; editing. QL: Methodology, Writing &#x2013; original draft.</p>
</sec>
<sec sec-type="funding-information" id="sec29">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<p>We acknowledge the outstanding contributions of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 collaborators.</p>
</ack>
<sec sec-type="COI-statement" id="sec30">
<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 sec-type="ai-statement" id="sec31">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec32">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors 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 sec-type="supplementary-material" id="sec33">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2025.1627867/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2025.1627867/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hoveidaei</surname> <given-names>AH</given-names></name> <name><surname>Nakhostin-Ansari</surname> <given-names>A</given-names></name> <name><surname>Heckmann</surname> <given-names>ND</given-names></name> <name><surname>Hosseini-Asl</surname> <given-names>SH</given-names></name> <name><surname>Khonji</surname> <given-names>MS</given-names></name> <name><surname>Razi</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Increasing burden of lower-extremity fractures in the Middle East and North Africa (MENA): A 30-year epidemiological analysis</article-title>. <source>J Bone Joint Surg Am</source>. (<year>2024</year>) <volume>106</volume>:<fpage>414</fpage>&#x2013;<lpage>24</lpage>. doi: <pub-id pub-id-type="doi">10.2106/JBJS.23.00489</pub-id>, PMID: <pub-id pub-id-type="pmid">38260949</pub-id></citation></ref>
<ref id="ref2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xiang</surname> <given-names>Y</given-names></name> <name><surname>Xing</surname> <given-names>H</given-names></name> <name><surname>Ran</surname> <given-names>Y</given-names></name> <name><surname>He</surname> <given-names>X</given-names></name> <name><surname>Cheng</surname> <given-names>Y</given-names></name></person-group>. <article-title>Risk factor analysis and nomogram model of DVT in hip fracture patients at hospital admission</article-title>. <source>BMC Musculoskelet Disord</source>. (<year>2025</year>) <volume>26</volume>:<fpage>189</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12891-025-08308-5</pub-id>, PMID: <pub-id pub-id-type="pmid">40001010</pub-id></citation></ref>
<ref id="ref3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schnetz</surname> <given-names>M</given-names></name> <name><surname>Wengert</surname> <given-names>A</given-names></name> <name><surname>Ruckes</surname> <given-names>C</given-names></name> <name><surname>Jakobi</surname> <given-names>T</given-names></name> <name><surname>Klug</surname> <given-names>A</given-names></name> <name><surname>Gramlich</surname> <given-names>Y</given-names></name></person-group>. <article-title>Open fractures of the lower leg: outcome and risk-factor analysis for fracture-related infection and nonunion in a single center analysis of 187 fractures</article-title>. <source>Injury</source>. (<year>2025</year>) <volume>56</volume>:<fpage>112303</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.injury.2025.112303</pub-id>, PMID: <pub-id pub-id-type="pmid">40198970</pub-id></citation></ref>
<ref id="ref4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Larsen</surname> <given-names>MH</given-names></name> <name><surname>Gundtoft</surname> <given-names>PH</given-names></name> <name><surname>Viberg</surname> <given-names>B</given-names></name></person-group>. <article-title>High mortality among elderly with surgical treated femoral fracture in comparison to other surgical treated lower extremity fractures. A population-based register study from the Danish National Patient Registry</article-title>. <source>Injury</source>. (<year>2025</year>) <volume>56</volume>:<fpage>112176</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.injury.2025.112176</pub-id>, PMID: <pub-id pub-id-type="pmid">39862495</pub-id></citation></ref>
<ref id="ref5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Neethling</surname> <given-names>I</given-names></name> <name><surname>Jelsma</surname> <given-names>J</given-names></name> <name><surname>Ramma</surname> <given-names>L</given-names></name> <name><surname>Schneider</surname> <given-names>H</given-names></name> <name><surname>Bradshaw</surname> <given-names>D</given-names></name></person-group>. <article-title>Disability weights from a household survey in a low socio-economic setting: how does it compare to the global burden of disease 2010 study?</article-title> <source>Glob Health Action</source>. (<year>2016</year>) <volume>9</volume>:<fpage>31754</fpage>. doi: <pub-id pub-id-type="doi">10.3402/gha.v9.31754</pub-id>, PMID: <pub-id pub-id-type="pmid">27539894</pub-id></citation></ref>
<ref id="ref6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shin</surname> <given-names>J</given-names></name> <name><surname>Choi</surname> <given-names>Y</given-names></name> <name><surname>Lee</surname> <given-names>SG</given-names></name> <name><surname>Kim</surname> <given-names>W</given-names></name> <name><surname>Park</surname> <given-names>EC</given-names></name> <name><surname>Kim</surname> <given-names>TH</given-names></name></person-group>. <article-title>Relationship between socioeconomic status and mortality after femur fracture in a Korean population aged 65 years and older: Nationwide retrospective cohort study</article-title>. <source>Medicine (Baltimore)</source>. (<year>2016</year>) <volume>95</volume>:<fpage>e5311</fpage>. doi: <pub-id pub-id-type="doi">10.1097/MD.0000000000005311</pub-id>, PMID: <pub-id pub-id-type="pmid">27930508</pub-id></citation></ref>
<ref id="ref7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Polinder</surname> <given-names>S</given-names></name> <name><surname>Haagsma</surname> <given-names>J</given-names></name> <name><surname>Panneman</surname> <given-names>M</given-names></name> <name><surname>Scholten</surname> <given-names>A</given-names></name> <name><surname>Brugmans</surname> <given-names>M</given-names></name> <name><surname>Van Beeck</surname> <given-names>E</given-names></name></person-group>. <article-title>The economic burden of injury: health care and productivity costs of injuries in the Netherlands</article-title>. <source>Accid Anal Prev</source>. (<year>2016</year>) <volume>93</volume>:<fpage>92</fpage>&#x2013;<lpage>100</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.aap.2016.04.003</pub-id>, PMID: <pub-id pub-id-type="pmid">27177394</pub-id></citation></ref>
<ref id="ref8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Raats</surname> <given-names>JH</given-names></name> <name><surname>Chang</surname> <given-names>Y</given-names></name> <name><surname>Brameier</surname> <given-names>DT</given-names></name> <name><surname>Ponds</surname> <given-names>N</given-names></name> <name><surname>Weaver</surname> <given-names>MJ</given-names></name></person-group>. <article-title>Health-care costs for patients with a lower-extremity fracture have increased disproportionately over the past 10 years: A medical expenditure panel survey analysis of Total expenditure and out-of-pocket costs</article-title>. <source>J Bone Joint Surg Am</source>. (<year>2025</year>) <volume>107</volume>:<fpage>717</fpage>&#x2013;<lpage>24</lpage>. doi: <pub-id pub-id-type="doi">10.2106/JBJS.24.00544</pub-id>, PMID: <pub-id pub-id-type="pmid">39970239</pub-id></citation></ref>
<ref id="ref9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Barron</surname> <given-names>RL</given-names></name> <name><surname>Oster</surname> <given-names>G</given-names></name> <name><surname>Grauer</surname> <given-names>A</given-names></name> <name><surname>Crittenden</surname> <given-names>DB</given-names></name> <name><surname>Weycker</surname> <given-names>D</given-names></name></person-group>. <article-title>Determinants of imminent fracture risk in postmenopausal women with osteoporosis</article-title>. <source>Osteoporos Int</source>. (<year>2020</year>) <volume>31</volume>:<fpage>2103</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00198-020-05294-3</pub-id>, PMID: <pub-id pub-id-type="pmid">32613410</pub-id></citation></ref>
<ref id="ref10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Morin</surname> <given-names>SN</given-names></name> <name><surname>Leslie</surname> <given-names>WD</given-names></name> <name><surname>Schousboe</surname> <given-names>JT</given-names></name></person-group>. <article-title>Osteoporosis: a review</article-title>. <source>JAMA</source>. (<year>2025</year>). doi: <pub-id pub-id-type="doi">10.1001/jama.2025.6003</pub-id></citation></ref>
<ref id="ref11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bacon</surname> <given-names>CJ</given-names></name> <name><surname>Moyes</surname> <given-names>SA</given-names></name> <name><surname>Hikaka</surname> <given-names>J</given-names></name> <name><surname>Teh</surname> <given-names>R</given-names></name> <name><surname>Atlasz</surname> <given-names>AEA</given-names></name> <name><surname>Kerse</surname> <given-names>N</given-names></name></person-group>. <article-title>Hospitalisation from fractures in New Zealand octogenarians: LiLACS NZ</article-title>. <source>Arch Osteoporos</source>. (<year>2025</year>) <volume>20</volume>:<fpage>48</fpage>. doi: <pub-id pub-id-type="doi">10.1007/s11657-025-01528-1</pub-id>, PMID: <pub-id pub-id-type="pmid">40205265</pub-id></citation></ref>
<ref id="ref12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><collab id="coll101">GBD 2021 Risk Factors Collaborators</collab></person-group>. <article-title>Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the global burden of disease study 2021</article-title>. <source>Lancet</source>. (<year>2024</year>) <volume>403</volume>:<fpage>2162</fpage>&#x2013;<lpage>203</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0140-6736(24)00933-4</pub-id>, PMID: <pub-id pub-id-type="pmid">38762324</pub-id></citation></ref>
<ref id="ref13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Diseases</surname> <given-names>GBD</given-names></name> <name><surname>Injuries</surname> <given-names>C</given-names></name></person-group>. <article-title>Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the global burden of disease study 2021</article-title>. <source>Lancet</source>. (<year>2024</year>) <volume>403</volume>:<fpage>2133</fpage>&#x2013;<lpage>61</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0140-6736(24)00757-8</pub-id></citation></ref>
<ref id="ref14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jacoby</surname> <given-names>WG</given-names></name></person-group>. <article-title>LOESS: a nonparametric, graphical tool for depicting relationships between variables</article-title>. <source>Electoral Stud</source>. (<year>2000</year>) <volume>19</volume>:<fpage>577</fpage>&#x2013;<lpage>613</lpage>.</citation></ref>
<ref id="ref15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Klotzbuecher</surname> <given-names>CM</given-names></name> <name><surname>Ross</surname> <given-names>PD</given-names></name> <name><surname>Landsman</surname> <given-names>PB</given-names></name> <name><surname>Abbott</surname> <given-names>TA</given-names> <suffix>3rd</suffix></name> <name><surname>Berger</surname> <given-names>M</given-names></name></person-group>. <article-title>Patients with prior fractures have an increased risk of future fractures: a summary of the literature and statistical synthesis</article-title>. <source>J Bone Miner Res</source>. (<year>2000</year>) <volume>15</volume>:<fpage>721</fpage>&#x2013;<lpage>39</lpage>. doi: <pub-id pub-id-type="doi">10.1359/jbmr.2000.15.4.721</pub-id>, PMID: <pub-id pub-id-type="pmid">10780864</pub-id></citation></ref>
<ref id="ref16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Panahi</surname> <given-names>N</given-names></name> <name><surname>Saeedi Moghaddam</surname> <given-names>S</given-names></name> <name><surname>Fahimfar</surname> <given-names>N</given-names></name> <name><surname>Rezaei</surname> <given-names>N</given-names></name> <name><surname>Sanjari</surname> <given-names>M</given-names></name> <name><surname>Rashidi</surname> <given-names>MM</given-names></name> <etal/></person-group>. <article-title>Trend in global burden attributable to low bone mineral density in different WHO regions: 2000 and beyond, results from the global burden of disease (GBD) study 2019</article-title>. <source>Endocr Connect</source>. (<year>2023</year>) <volume>12</volume>:<fpage>e230160</fpage>. doi: <pub-id pub-id-type="doi">10.1530/EC-23-0160</pub-id>, PMID: <pub-id pub-id-type="pmid">37578756</pub-id></citation></ref>
<ref id="ref17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zeng</surname> <given-names>W</given-names></name> <name><surname>Liu</surname> <given-names>W</given-names></name> <name><surname>Zhang</surname> <given-names>L</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name> <name><surname>He</surname> <given-names>Y</given-names></name> <name><surname>Su</surname> <given-names>W</given-names></name> <etal/></person-group>. <article-title>Trends in osteoporosis assessment, diagnosis after fragility fractures, and treatment for hospitalized patients with osteoporosis or fragility fractures between 2012 and 2021</article-title>. <source>Arch Osteoporos</source>. (<year>2025</year>) <volume>20</volume>:<fpage>8</fpage>. doi: <pub-id pub-id-type="doi">10.1007/s11657-024-01492-2</pub-id>, PMID: <pub-id pub-id-type="pmid">39779521</pub-id></citation></ref>
<ref id="ref18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>van der Velde</surname> <given-names>RY</given-names></name> <name><surname>Wyers</surname> <given-names>CE</given-names></name> <name><surname>Teesselink</surname> <given-names>E</given-names></name> <name><surname>Geusens</surname> <given-names>P</given-names></name> <name><surname>van den Bergh</surname> <given-names>JPW</given-names></name> <name><surname>de Vries</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Trends in oral anti-osteoporosis drug prescription in the United Kingdom between 1990 and 2012: variation by age, sex, geographic location and ethnicity</article-title>. <source>Bone</source>. (<year>2017</year>) <volume>94</volume>:<fpage>50</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bone.2016.10.013</pub-id></citation></ref>
<ref id="ref19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shen</surname> <given-names>Y</given-names></name> <name><surname>Huang</surname> <given-names>X</given-names></name> <name><surname>Wu</surname> <given-names>J</given-names></name> <name><surname>Lin</surname> <given-names>X</given-names></name> <name><surname>Zhou</surname> <given-names>X</given-names></name> <name><surname>Zhu</surname> <given-names>Z</given-names></name> <etal/></person-group>. <article-title>The global burden of osteoporosis, low bone mass, and its related fracture in 204 countries and territories, 1990-2019</article-title>. <source>Front Endocrinol (Lausanne)</source>. (<year>2022</year>) <volume>13</volume>:<fpage>882241</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fendo.2022.882241</pub-id>, PMID: <pub-id pub-id-type="pmid">35669691</pub-id></citation></ref>
<ref id="ref20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Basques</surname> <given-names>BA</given-names></name> <name><surname>Gardner</surname> <given-names>EC</given-names></name> <name><surname>Samuel</surname> <given-names>AM</given-names></name> <name><surname>Webb</surname> <given-names>ML</given-names></name> <name><surname>Lukasiewicz</surname> <given-names>AM</given-names></name> <name><surname>Bohl</surname> <given-names>DD</given-names></name> <etal/></person-group>. <article-title>Injury patterns and risk factors for orthopaedic trauma from snowboarding and skiing: a national perspective</article-title>. <source>Knee Surg Sports Traumatol Arthrosc</source>. (<year>2018</year>) <volume>26</volume>:<fpage>1916</fpage>&#x2013;<lpage>26</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00167-016-4137-7</pub-id>, PMID: <pub-id pub-id-type="pmid">27177641</pub-id></citation></ref>
<ref id="ref21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>C</given-names></name> <name><surname>Jiang</surname> <given-names>X</given-names></name> <name><surname>Yue</surname> <given-names>Q</given-names></name> <name><surname>Wei</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Ho</surname> <given-names>JY-e</given-names></name> <etal/></person-group>. <article-title>Relationship between meteorological variations, seasonal influenza, and hip fractures in the elderly: a modelling investigation using 22-year data</article-title>. <source>Sci Total Environ</source>. (<year>2023</year>) <volume>862</volume>:<fpage>160764</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2022.160764</pub-id></citation></ref>
<ref id="ref22"><label>22.</label><citation citation-type="book"><person-group person-group-type="author"><name><surname>van Schoor</surname> <given-names>N</given-names></name> <name><surname>de Jongh</surname> <given-names>R</given-names></name> <name><surname>Lips</surname> <given-names>P</given-names></name></person-group>. <article-title>Chapter 54 - worldwide vitamin D status</article-title> In: <person-group person-group-type="editor"><name><surname>Hewison</surname> <given-names>M</given-names></name> <name><surname>Bouillon</surname> <given-names>R</given-names></name> <name><surname>Giovannucci</surname> <given-names>E</given-names></name> <name><surname>Goltzman</surname> <given-names>D</given-names></name> <name><surname>Meyer</surname> <given-names>M</given-names></name> <name><surname>Welsh</surname> <given-names>J</given-names></name></person-group>, editors. <source>Feldman and pike's vitamin D (fifth edition)</source>. <publisher-loc>London</publisher-loc>: <publisher-name>Academic Press</publisher-name> (<year>2024</year>). <fpage>47</fpage>&#x2013;<lpage>75</lpage>.</citation></ref>
<ref id="ref23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cockerham</surname> <given-names>WC</given-names></name></person-group>. <article-title>Health lifestyles in Russia</article-title>. <source>Soc Sci Med</source>. (<year>2000</year>) <volume>51</volume>:<fpage>1313</fpage>&#x2013;<lpage>24</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0277-9536(00)00094-0</pub-id>, PMID: <pub-id pub-id-type="pmid">11037219</pub-id></citation></ref>
<ref id="ref24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>W</given-names></name> <name><surname>Sandler</surname> <given-names>T</given-names></name></person-group>. <article-title>Middle east and North Africa: terrorism and conflicts</article-title>. <source>Glob Policy</source>. (<year>2020</year>) <volume>11</volume>:<fpage>424</fpage>&#x2013;<lpage>38</lpage>. doi: <pub-id pub-id-type="doi">10.1111/1758-5899.12829</pub-id></citation></ref>
<ref id="ref25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>James</surname> <given-names>SL</given-names></name> <name><surname>Castle</surname> <given-names>CD</given-names></name> <name><surname>Dingels</surname> <given-names>ZV</given-names></name> <name><surname>Fox</surname> <given-names>JT</given-names></name> <name><surname>Hamilton</surname> <given-names>EB</given-names></name> <name><surname>Liu</surname> <given-names>Z</given-names></name> <etal/></person-group>. <article-title>Estimating global injuries morbidity and mortality: methods and data used in the global burden of disease 2017 study</article-title>. <source>Inj Prev</source>. (<year>2020</year>) <volume>26</volume>:<fpage>i125</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1136/injuryprev-2019-043531</pub-id>, PMID: <pub-id pub-id-type="pmid">32839249</pub-id></citation></ref>
<ref id="ref26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ekzayez</surname> <given-names>A</given-names></name> <name><surname>Alhaj Ahmad</surname> <given-names>Y</given-names></name> <name><surname>Alhaleb</surname> <given-names>H</given-names></name> <name><surname>Checchi</surname> <given-names>F</given-names></name></person-group>. <article-title>The impact of armed conflict on utilisation of health services in north-West Syria: an observational study</article-title>. <source>Confl Heal</source>. (<year>2021</year>) <volume>15</volume>:<fpage>91</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13031-021-00429-7</pub-id>, PMID: <pub-id pub-id-type="pmid">34906188</pub-id></citation></ref>
<ref id="ref27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><collab id="coll102">The North American Menopause Society</collab></person-group>. <article-title>Management of osteoporosis in postmenopausal women: the 2021 position statement of the North American Menopause Society</article-title>. <source>Menopause</source>. (<year>2021</year>) <volume>28</volume>:<fpage>973</fpage>&#x2013;<lpage>97</lpage>. doi: <pub-id pub-id-type="doi">10.1097/GME.0000000000001831</pub-id></citation></ref>
<ref id="ref28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Curtis</surname> <given-names>EM</given-names></name> <name><surname>Dennison</surname> <given-names>EM</given-names></name> <name><surname>Cooper</surname> <given-names>C</given-names></name> <name><surname>Harvey</surname> <given-names>NC</given-names></name></person-group>. <article-title>Osteoporosis in 2022: care gaps to screening and personalised medicine</article-title>. <source>Best Pract Res Clin Rheumatol</source>. (<year>2022</year>) <volume>36</volume>:<fpage>101754</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.berh.2022.101754</pub-id>, PMID: <pub-id pub-id-type="pmid">35691824</pub-id></citation></ref>
<ref id="ref29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>McCloskey</surname> <given-names>E</given-names></name> <name><surname>Rathi</surname> <given-names>J</given-names></name> <name><surname>Heijmans</surname> <given-names>S</given-names></name> <name><surname>Blagden</surname> <given-names>M</given-names></name> <name><surname>Cortet</surname> <given-names>B</given-names></name> <name><surname>Czerwinski</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>The osteoporosis treatment gap in patients at risk of fracture in European primary care: a multi-country cross-sectional observational study</article-title>. <source>Osteoporos Int</source>. (<year>2021</year>) <volume>32</volume>:<fpage>251</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00198-020-05557-z</pub-id>, PMID: <pub-id pub-id-type="pmid">32829471</pub-id></citation></ref>
<ref id="ref30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fox</surname> <given-names>LC</given-names></name> <name><surname>Kreishman</surname> <given-names>MP</given-names></name></person-group>. <article-title>High-energy trauma and damage control in the lower limb</article-title>. <source>Semin Plast Surg</source>. (<year>2010</year>) <volume>24</volume>:<fpage>5</fpage>&#x2013;<lpage>10</lpage>. doi: <pub-id pub-id-type="doi">10.1055/s-0030-1253241</pub-id>, PMID: <pub-id pub-id-type="pmid">21286300</pub-id></citation></ref>
<ref id="ref31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Court-Brown</surname> <given-names>CM</given-names></name> <name><surname>Caesar</surname> <given-names>B</given-names></name></person-group>. <article-title>Epidemiology of adult fractures: A review</article-title>. <source>Injury</source>. (<year>2006</year>) <volume>37</volume>:<fpage>691</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.injury.2006.04.130</pub-id>, PMID: <pub-id pub-id-type="pmid">16814787</pub-id></citation></ref>
<ref id="ref32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Norton</surname> <given-names>R</given-names></name> <name><surname>Kobusingye</surname> <given-names>O</given-names></name></person-group>. <article-title>Injuries</article-title>. <source>N Engl J Med</source>. (<year>2013</year>) <volume>368</volume>:<fpage>1723</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1056/NEJMra1109343</pub-id>, PMID: <pub-id pub-id-type="pmid">23635052</pub-id></citation></ref>
<ref id="ref33"><label>33.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tosounidis</surname> <given-names>T</given-names></name> <name><surname>Manouras</surname> <given-names>L</given-names></name> <name><surname>Chalidis</surname> <given-names>B</given-names></name></person-group>. <article-title>Osteosarcopenia and geriatric hip fractures: current concepts</article-title>. <source>World J Orthop</source>. (<year>2025</year>) <volume>16</volume>:<fpage>102930</fpage>. doi: <pub-id pub-id-type="doi">10.5312/wjo.v16.i3.102930</pub-id>, PMID: <pub-id pub-id-type="pmid">40124726</pub-id></citation></ref>
<ref id="ref34"><label>34.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Salari</surname> <given-names>N</given-names></name> <name><surname>Ghasemi</surname> <given-names>H</given-names></name> <name><surname>Mohammadi</surname> <given-names>L</given-names></name> <name><surname>Behzadi</surname> <given-names>M</given-names></name> <name><surname>Rabieenia</surname> <given-names>E</given-names></name> <name><surname>Shohaimi</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>The global prevalence of osteoporosis in the world: a comprehensive systematic review and meta-analysis</article-title>. <source>J Orthop Surg Res</source>. (<year>2021</year>) <volume>16</volume>:<fpage>609</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13018-021-02772-0</pub-id>, PMID: <pub-id pub-id-type="pmid">34657598</pub-id></citation></ref>
<ref id="ref35"><label>35.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xiao</surname> <given-names>PL</given-names></name> <name><surname>Cui</surname> <given-names>AY</given-names></name> <name><surname>Hsu</surname> <given-names>CJ</given-names></name> <name><surname>Peng</surname> <given-names>R</given-names></name> <name><surname>Jiang</surname> <given-names>N</given-names></name> <name><surname>Xu</surname> <given-names>XH</given-names></name> <etal/></person-group>. <article-title>Global, regional prevalence, and risk factors of osteoporosis according to the World Health Organization diagnostic criteria: a systematic review and meta-analysis</article-title>. <source>Osteoporos Int</source>. (<year>2022</year>) <volume>33</volume>:<fpage>2137</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00198-022-06454-3</pub-id>, PMID: <pub-id pub-id-type="pmid">35687123</pub-id></citation></ref>
<ref id="ref36"><label>36.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Takala</surname> <given-names>J</given-names></name> <name><surname>H&#x00E4;m&#x00E4;l&#x00E4;inen</surname> <given-names>P</given-names></name> <name><surname>Saarela</surname> <given-names>KL</given-names></name> <name><surname>Yun</surname> <given-names>LY</given-names></name> <name><surname>Manickam</surname> <given-names>K</given-names></name> <name><surname>Jin</surname> <given-names>TW</given-names></name> <etal/></person-group>. <article-title>Global estimates of the burden of injury and illness at work in 2012</article-title>. <source>J Occup Environ Hyg</source>. (<year>2014</year>) <volume>11</volume>:<fpage>326</fpage>&#x2013;<lpage>37</lpage>. doi: <pub-id pub-id-type="doi">10.1080/15459624.2013.863131</pub-id>, PMID: <pub-id pub-id-type="pmid">24219404</pub-id></citation></ref>
<ref id="ref37"><label>37.</label><citation citation-type="book"><person-group person-group-type="author"><collab id="coll1">Organization. WH</collab></person-group>. <source>Global status report on road safety 2018</source>. <publisher-loc>Geneva</publisher-loc>: <publisher-name>World Health Organization</publisher-name> (<year>2018</year>).</citation></ref>
<ref id="ref38"><label>38.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wright</surname> <given-names>NC</given-names></name> <name><surname>Looker</surname> <given-names>AC</given-names></name> <name><surname>Saag</surname> <given-names>KG</given-names></name> <name><surname>Curtis</surname> <given-names>JR</given-names></name> <name><surname>Delzell</surname> <given-names>ES</given-names></name> <name><surname>Randall</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>The recent prevalence of osteoporosis and low bone mass in the United States based on bone mineral density at the femoral neck or lumbar spine</article-title>. <source>J Bone Miner Res</source>. (<year>2014</year>) <volume>29</volume>:<fpage>2520</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1002/jbmr.2269</pub-id>, PMID: <pub-id pub-id-type="pmid">24771492</pub-id></citation></ref>
<ref id="ref39"><label>39.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fuggle</surname> <given-names>NR</given-names></name> <name><surname>Beaudart</surname> <given-names>C</given-names></name> <name><surname>Bruy&#x00E8;re</surname> <given-names>O</given-names></name> <name><surname>Abrahamsen</surname> <given-names>B</given-names></name> <name><surname>Al-Daghri</surname> <given-names>N</given-names></name> <name><surname>Burlet</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>Evidence-based guideline for the management of osteoporosis in men</article-title>. <source>Nat Rev Rheumatol</source>. (<year>2024</year>) <volume>20</volume>:<fpage>241</fpage>&#x2013;<lpage>51</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41584-024-01094-9</pub-id>, PMID: <pub-id pub-id-type="pmid">38485753</pub-id></citation></ref>
<ref id="ref40"><label>40.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Naso</surname> <given-names>CM</given-names></name> <name><surname>Lin</surname> <given-names>SY</given-names></name> <name><surname>Song</surname> <given-names>G</given-names></name> <name><surname>Xue</surname> <given-names>H</given-names></name></person-group>. <article-title>Time trend analysis of osteoporosis prevalence among adults 50 years of age and older in the USA, 2005-2018</article-title>. <source>Osteoporos Int</source>. (<year>2025</year>) <volume>36</volume>:<fpage>547</fpage>&#x2013;<lpage>54</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00198-025-07395-3</pub-id>, PMID: <pub-id pub-id-type="pmid">39873744</pub-id></citation></ref>
<ref id="ref41"><label>41.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Petermann-Rocha</surname> <given-names>F</given-names></name> <name><surname>Balntzi</surname> <given-names>V</given-names></name> <name><surname>Gray</surname> <given-names>SR</given-names></name> <name><surname>Lara</surname> <given-names>J</given-names></name> <name><surname>Ho</surname> <given-names>FK</given-names></name> <name><surname>Pell</surname> <given-names>JP</given-names></name> <etal/></person-group>. <article-title>Global prevalence of sarcopenia and severe sarcopenia: a systematic review and meta-analysis</article-title>. <source>J Cachexia Sarcopenia Muscle</source>. (<year>2022</year>) <volume>13</volume>:<fpage>86</fpage>&#x2013;<lpage>99</lpage>. doi: <pub-id pub-id-type="doi">10.1002/jcsm.12783</pub-id>, PMID: <pub-id pub-id-type="pmid">34816624</pub-id></citation></ref>
<ref id="ref42"><label>42.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Curtis</surname> <given-names>EM</given-names></name> <name><surname>Reginster</surname> <given-names>JY</given-names></name> <name><surname>Al-Daghri</surname> <given-names>N</given-names></name> <name><surname>Biver</surname> <given-names>E</given-names></name> <name><surname>Brandi</surname> <given-names>ML</given-names></name> <name><surname>Cavalier</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Management of patients at very high risk of osteoporotic fractures through sequential treatments</article-title>. <source>Aging Clin Exp Res</source>. (<year>2022</year>) <volume>34</volume>:<fpage>695</fpage>&#x2013;<lpage>714</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s40520-022-02100-4</pub-id>, PMID: <pub-id pub-id-type="pmid">35332506</pub-id></citation></ref>
<ref id="ref43"><label>43.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cooper</surname> <given-names>C</given-names></name> <name><surname>Cole</surname> <given-names>ZA</given-names></name> <name><surname>Holroyd</surname> <given-names>CR</given-names></name> <name><surname>Earl</surname> <given-names>SC</given-names></name> <name><surname>Harvey</surname> <given-names>NC</given-names></name> <name><surname>Dennison</surname> <given-names>EM</given-names></name> <etal/></person-group>. <article-title>Secular trends in the incidence of hip and other osteoporotic fractures</article-title>. <source>Osteoporos Int</source>. (<year>2011</year>) <volume>22</volume>:<fpage>1277</fpage>&#x2013;<lpage>88</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00198-011-1601-6</pub-id>, PMID: <pub-id pub-id-type="pmid">21461721</pub-id></citation></ref>
<ref id="ref44"><label>44.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chevalley</surname> <given-names>T</given-names></name> <name><surname>Bonjour</surname> <given-names>JP</given-names></name> <name><surname>Audet</surname> <given-names>MC</given-names></name> <name><surname>Merminod</surname> <given-names>F</given-names></name> <name><surname>van Rietbergen</surname> <given-names>B</given-names></name> <name><surname>Rizzoli</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Fracture prospectively recorded from Prepuberty to young adulthood: are they markers of peak bone mass and strength in males?</article-title> <source>J Bone Miner Res</source>. (<year>2017</year>) <volume>32</volume>:<fpage>1963</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1002/jbmr.3174</pub-id>, PMID: <pub-id pub-id-type="pmid">28543781</pub-id></citation></ref>
<ref id="ref45"><label>45.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Compston</surname> <given-names>JE</given-names></name> <name><surname>McClung</surname> <given-names>MR</given-names></name> <name><surname>Leslie</surname> <given-names>WD</given-names></name></person-group>. <article-title>Osteoporosis</article-title>. <source>Lancet</source>. (<year>2019</year>) <volume>393</volume>:<fpage>364</fpage>&#x2013;<lpage>76</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0140-6736(18)32112-3</pub-id>, PMID: <pub-id pub-id-type="pmid">30696576</pub-id></citation></ref>
<ref id="ref46"><label>46.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sherrington</surname> <given-names>C</given-names></name> <name><surname>Fairhall</surname> <given-names>NJ</given-names></name> <name><surname>Wallbank</surname> <given-names>GK</given-names></name> <name><surname>Tiedemann</surname> <given-names>A</given-names></name> <name><surname>Michaleff</surname> <given-names>ZA</given-names></name> <name><surname>Howard</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Exercise for preventing falls in older people living in the community</article-title>. <source>Cochrane Database Syst Rev</source>. (<year>2019</year>) <volume>1</volume>:<fpage>Cd012424</fpage>. doi: <pub-id pub-id-type="doi">10.1002/14651858.CD012424.pub2</pub-id></citation></ref>
<ref id="ref47"><label>47.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ribau</surname> <given-names>A</given-names></name> <name><surname>Vale</surname> <given-names>J</given-names></name> <name><surname>Xar&#x00E1;-Leite</surname> <given-names>F</given-names></name> <name><surname>Rodrigues-Pinto</surname> <given-names>R</given-names></name></person-group>. <article-title>Impact of COVID-19 pandemic and national lockdown in an orthopaedic and traumatology department&#x2014;a comparison with the homologous period of 2019</article-title>. <source>Porto Biomedical Journal</source>. (<year>2021</year>) <volume>6</volume>:<fpage>e109</fpage>. doi: <pub-id pub-id-type="doi">10.1097/j.pbj.0000000000000109</pub-id>, PMID: <pub-id pub-id-type="pmid">33490702</pub-id></citation></ref>
<ref id="ref48"><label>48.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Magnusson</surname> <given-names>K</given-names></name> <name><surname>Helgeland</surname> <given-names>J</given-names></name> <name><surname>Gr&#x00F8;sland</surname> <given-names>M</given-names></name> <name><surname>Telle</surname> <given-names>K</given-names></name></person-group>. <article-title>Impact of the COVID-19 pandemic on emergency and elective hip surgeries in Norway</article-title>. <source>Acta Orthop</source>. (<year>2021</year>) <volume>92</volume>:<fpage>376</fpage>&#x2013;<lpage>80</lpage>. doi: <pub-id pub-id-type="doi">10.1080/17453674.2021.1898782</pub-id>, PMID: <pub-id pub-id-type="pmid">33757405</pub-id></citation></ref>
<ref id="ref49"><label>49.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Naghavi</surname> <given-names>M</given-names></name></person-group>. <article-title>State of health and inequalities among Italian regions from 2000 to 2021: a systematic analysis based on the global burden of disease study 2021</article-title>. <source>Lancet Public Health</source>. (<year>2025</year>) <volume>10</volume>:<fpage>e309</fpage>&#x2013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S2468-2667(25)00045-3</pub-id>, PMID: <pub-id pub-id-type="pmid">40175012</pub-id></citation></ref>
<ref id="ref50"><label>50.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>D</given-names></name> <name><surname>Hua</surname> <given-names>W</given-names></name> <name><surname>Sun</surname> <given-names>F</given-names></name> <name><surname>Wen</surname> <given-names>C</given-names></name> <name><surname>Cheong</surname> <given-names>LY</given-names></name> <name><surname>Xie</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>The changes in global burden of autoimmune diseases two years after the COVID-19 pandemic: a trend analysis based on the global burden of disease study 2021</article-title>. <source>J Transl Autoimmun</source>. (<year>2025</year>) <volume>10</volume>:<fpage>100289</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jtauto.2025.100289</pub-id>, PMID: <pub-id pub-id-type="pmid">40342869</pub-id></citation></ref>
</ref-list>
</back>
</article>