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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.2023.1222636</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>Triglyceride to high-density lipoprotein cholesterol ratio was negatively associated with relative grip strength in older adults: a cross-sectional study of the NHANES database</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Huang</surname>
<given-names>Yan</given-names>
</name>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2312736/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liao</surname>
<given-names>Jian</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Yang</given-names>
</name>
</contrib>
</contrib-group>
<aff><institution>Department of Medical Laboratory, The First Affiliated Hospital of Traditional Chinese Medicine of Chengdu Medical College</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Giuseppe Caminiti, Universit&#x00E0; telematica San Raffaele, Italy</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Giuseppe Marazzi, IRCCS San Raffaele, Italy; Yuewen Liu, Shanghai University of Medicine and Health Sciences, China; Giuseppe Lisco, University of Bari Aldo Moro, Italy</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Yan Huang, <email>huangyancdmc@outlook.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>11</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1222636</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>09</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Huang, Liao and Liu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Huang, Liao and Liu</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>Aim</title>
<p>This study aims to explore the association between triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and relative grip strength in older adults in order to provide some references for the prevention and control of sarcopenia.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>For this cross-sectional study, the demographic and clinical data of 1,404 individuals aged &#x2265;60 years old were extracted from the National Health and Nutrition Examination Survey (NHANES) database in 2011&#x2013;2014. The definition of relative grip strength was the sum of the largest reading from each hand/body mass index (BMI) ratio. We used weighted univariate linear regression and stepwise regression analysis to screen the covariates. Weighted univariate and multivariate linear regression analyses were used to explore the association between the TG/HDL-C ratio and the relative grip strength. We also explored this relationship in subgroups of gender, diabetes mellitus (DM), cardiovascular disease (CVD), and arthritis. The evaluation index was &#x03B2; with 95% confidence intervals (CIs).</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>A total of 1,306 older adults were eligible. After adjusting for the covariates including age, gender, race, marital status, physical activity, DM, CVD, arthritis, and chronic kidney disease (CKD), we found that the TG/HDL-C ratio was negatively linked to the relative grip strength (all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Furthermore, the increased TG/HDL-C ratio was also related to the decreased relative grip strength in those who were women, not having DM, and having CVD (all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>With the increase in the TG/HDL-C ratio, the relative grip strength of older adults decreased significantly, indicating that the TG/HDL-C ratio could be closely monitored in the older adult population and may be associated with the prevention and control of sarcopenia.</p>
</sec>
</abstract>
<kwd-group>
<kwd>TG/HDL-C ratio</kwd>
<kwd>relative grip strength</kwd>
<kwd>NHANES</kwd>
<kwd>older adults</kwd>
<kwd>sarcopenia</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="10"/>
<word-count count="6635"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Aging and Public Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Sarcopenia is a progressive and widespread skeletal muscle disease and the risk increases with age (<xref ref-type="bibr" rid="ref1">1</xref>). It is estimated that sarcopenia has impacted 10&#x2013;16% of older adults worldwide (<xref ref-type="bibr" rid="ref2">2</xref>). Sarcopenia increases the risk of adverse consequences such as falls, fractures, physical disabilities, and death in older adults which causes a substantial increase in economic burden on patients&#x2019; families and society (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>Low muscle strength is the primary parameter of sarcopenia because it is the most reliable indicator of muscle function (<xref ref-type="bibr" rid="ref4">4</xref>). Grip strength is one of the most common muscle strength markers in clinical and research settings (<xref ref-type="bibr" rid="ref5">5</xref>). Grip strength and sarcopenia in older adults have important implications for predicting multiple diseases and the risk of death. A large-sample prospective study of UK Biobank participants found that lower grip strength was associated with a higher risk of developing severe non-alcoholic fatty liver disease (<xref ref-type="bibr" rid="ref3">3</xref>). Another study in community-dwelling older adults showed that screening for sarcopenia severity and low muscle strength may be used to identify the risk of cognitive impairment (<xref ref-type="bibr" rid="ref6">6</xref>). In addition, Takahashi et al. (<xref ref-type="bibr" rid="ref7">7</xref>) indicated that sarcopenia was associated with incident all-cause mortality in older outpatients with type 2 diabetes mellitus (T2DM).</p>
<p>Muscle activity depends on glucose metabolism, and insulin resistance (IR) can decrease the muscle&#x2019;s ability to utilize glucose, reduce intracellular energy production, and weaken muscle strength (<xref ref-type="bibr" rid="ref8">8</xref>). The homeostasis model assessment of insulin resistance (HOMA-IR) is a traditional IR index with limited clinical application (<xref ref-type="bibr" rid="ref9">9</xref>). However, the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio has been suggested as a new alternative IR index in recent years (<xref ref-type="bibr" rid="ref10">10</xref>), which has been also applied to research studies in diabetes mellitus (DM) (<xref ref-type="bibr" rid="ref11">11</xref>) and cardiovascular disease (CVD) (<xref ref-type="bibr" rid="ref12">12</xref>). A recent study in older Korean men showed that the TG/HDL ratio was positively related to a higher risk of sarcopenia (<xref ref-type="bibr" rid="ref13">13</xref>). Another study in community-dwelling Chinese adults also found a negative association between the sarcopenia occurrence rate and the TG/HDL-C ratio (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>Measures of grip strength are convenient assessments of strength capacity and a reliable measure of muscle function (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). However, studies on the relationship between the TG/HDL-C ratio and muscle function are still absent, and the results on the role of the TG/HDL-C ratio in sarcopenia were inconsistent. Herein, this study aims to explore the association between TG/HDL-C ratio and relative grip strength in individuals aged &#x2265;60 years old and further discusses this relationship in those who are of different genders as well as the complications. We hope that this study can provide some references for the prevention and management of sarcopenia in older adult populations.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Study design and population</title>
<p>Data in this cross-sectional study were extracted from the National Health and Nutrition Examination Survey (NHANES) database from 2011 to 2014. NHANES is a multipurpose research program conducted by the National Center for Health Statistics (NCHS) to assess the health and nutritional status of adults and children in the United States. More details are present on the NHANES website: <ext-link xlink:href="https://wwwn.cdc.gov/Nchs/Nhanes/" ext-link-type="uri">https://wwwn.cdc.gov/Nchs/Nhanes/</ext-link>. The survey regularly collects data from approximately 5,000 persons from 15 areas since 1999, which includes a household interview followed by a standardized physical examination in a mobile examination center (MEC). A stratified multistage sampling design with a weighting scheme based on the selection of counties, blocks, households, and persons within households is used by NHANES to represent the civilian, non-institutionalized population in the United States and accurately estimate the prevalence of diseases. Information about data analysis can be found on the web link: <ext-link xlink:href="https://wwwn.cdc.gov/nchs/nhanes/tutorials/module2.aspx" ext-link-type="uri">https://wwwn.cdc.gov/nchs/nhanes/tutorials/module2.aspx</ext-link>.</p>
<p>A total of 1,404 adults aged &#x2265;60&#x2009;years old who received the examinations of TG, HDL-C, and hand grip strength were initially included. Those who had surgeries on their hands or wrists were excluded, and finally, 1,306 of them were eligible. Since NHANES was approved by the Institutional Review Board (IRB) of the NCHS of the Centers for Disease Control and Prevention (CDC) of the United States, the data were publicly available; no ethical approval from the IRB of our institution was required.</p>
</sec>
<sec id="sec8">
<title>Calculation of serum TG/HDL-C ratio</title>
<p>The information on serum TG (mg/dL) and HDL-C (mg/dL) concentrations was extracted from the database. More information on laboratory examinations was provided on the website of the CDC (<xref ref-type="bibr" rid="ref17">17</xref>). The TG/HDL-C ratios were calculated by dividing TG by HDL-C. In our analysis, we divided the TG/HDL-C ratio into three levels according to the tertiles, of which the 33% cutoff value was 1.47 and the 66% cutoff value was 2.69.</p>
</sec>
<sec id="sec9">
<title>Measurement of the relative grip strength</title>
<p>The relative grip strength was defined as the sum of the largest reading from each hand to the body mass index (BMI) ratio. In NHANES, hand grip strength (kg) was evaluated using the Hand Dynamometer (Takei Digital gripper force gage model T.K.K.5401), to obtain the maximum force exerted by hands. Further details on the grip strength test procedures are available elsewhere (<xref ref-type="bibr" rid="ref18">18</xref>).</p>
</sec>
<sec id="sec10">
<title>Collection of variables</title>
<p>BMI was calculated as a ratio of weight in kilograms over height in meters squared (kg/m<sup>2</sup>), and participants were grouped into four categories: underweight (BMI &#x003C; 18.50 kg/m<sup>2</sup>), normal (BMI = 18.50&#x2013;24.99 kg/m<sup>2</sup>), overweight (BMI = 25.00&#x2013;29.99 kg/m<sup>2</sup>), and obese (BMI &#x2265;30.00 kg/m<sup>2</sup>) using the criteria of World Health Organization (WHO) for grouping weight status (<xref ref-type="bibr" rid="ref19">19</xref>). We collected variables including age, gender, race, education level, marital status, income, smoking, drinking, physical activity, DM, hypertension, dyslipidemia, CVD, anemia, depression, osteoporosis, arthritis, chronic kidney disease (CKD), height (cm), weight (kg), serum albumin (g/dL), creatinine (mg/dL), white blood cell (WBC) (K/uL), protein (g) and its supplement, vitamin D (mcg) and its supplement, and polyunsaturated fatty acid (PUFA) (gm) and its supplement from the NHANES.</p>
<p>DM was defined as fasting blood glucose &#x2265;7.0&#x2009;mmol/L or glycosylated hemoglobin (HbAlc) &#x2265;6.5% or self-reported DM or receiving hypoglycemic therapy (<xref ref-type="bibr" rid="ref20">20</xref>). CVD was diagnosed according to the positive answer to the multiple-choice question (MCQ): &#x2018;Have you ever been told you had (congestive) heart failure, coronary heart disease, angina/angina pectoris, heart attack, and stroke&#x2019; or if an individual is using cardiovascular drugs for any one or more diseases. Hypertension was defined as a mean blood pressure exceeding 140/90&#x2009;mmHg for systolic pressure and diastolic pressure, respectively. Hyperlipidemia was classified as total cholesterol &#x2265;200&#x2009;mg/dL, triglycerides &#x2265;150&#x2009;mg/dL, HDL &#x2265; 40&#x2009;mg/dL in men and &#x2265; 50&#x2009;mg/dL in women, or low-density lipoprotein &#x2265;130&#x2009;mg/dL. Alternately, persons who reported using cholesterol-lowering drugs were also classified as having hyperlipidemia (<xref ref-type="bibr" rid="ref21">21</xref>). Hemoglobin levels were categorized into non-anemia (&#x2265;12&#x2009;g/dL) and anemia (&#x003C;12&#x2009;g/dL). Depression was assessed using the Patient Health Questionnaire (PHQ-9) of the NHANES, and the PHQ score (range 0&#x2013;27) cutoff point&#x2009;&#x2265;&#x2009;10 showed that the sensitivity of diagnosing major depression is 88%, and the specificity is 88% (<xref ref-type="bibr" rid="ref22">22</xref>). Osteoporosis was defined according to the World Health Organization (WHO) criteria (<xref ref-type="bibr" rid="ref23">23</xref>). Arthritis status was determined by responses to the Medical Condition questionnaire based on which a doctor or health professional informed the individual that they had arthritis. Serum creatinine was used to calculate eGFR with the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation (<xref ref-type="bibr" rid="ref24">24</xref>). More information on these covariates can be found on the NHANES website [<ext-link xlink:href="https://www.cdc.gov/nchs/nhanes/" ext-link-type="uri">https://www.cdc.gov/nchs/nhanes/</ext-link> (accessed on 20 April 2022)].</p>
</sec>
<sec id="sec11">
<title>Statistical analysis</title>
<p>Continuous data were described by mean&#x2009;&#x00B1;&#x2009;standard error (mean&#x2009;&#x00B1;&#x2009;SE), and the F test was used for comparison in groups. Categorical data were expressed as frequency with constituent ratio [N (%)], and the chi-square test was used for comparison. Because TG is measured in a fasting subsample of persons, special sample weights are required to analyze these data properly: the 2-year&#x2009;cycle of MEC exam weight (wtmec2yr). More details of the NHANES weights can be found online: <ext-link xlink:href="https://wwwn.cdc.gov/Nchs/Nhanes/2013-2014/TRIGLY_H.htm" ext-link-type="uri">https://wwwn.cdc.gov/Nchs/Nhanes/2013-2014/TRIGLY_H.htm</ext-link>.</p>
<p>Weighted univariate linear regression and stepwise regression analyses were used to screen the covariates. Weighted univariate and multivariate linear regression analyses were used to explore the association between the TG/HDL-C ratio and the relative grip strength. Model 1 was the crude model. Model 2 adjusted for demographic variables including age, gender, race, and marital status. Model 3 additionally adjusted for covariates including physical activity, DM, CVD, arthritis, and albumin. We also explored this relationship in subgroups of gender, DM, CVD, and arthritis. The evaluation indexes were &#x03B2; and 95% confidence intervals (CIs). Two-sided <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 was considered significant. Statistical analysis was performed using SAS 9.4 (SAS Institute, Cary, NC, United States). Missing variables (including education level, serum creatinine, albumin, and WBC) were interpolated using the random forest method, and sensitivity analysis was performed on the characteristics of participants before and after the imputation (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<title>Results</title>
<sec id="sec13">
<title>Characteristics of participants</title>
<p>The flowchart of the screening of participants is presented in <xref rid="fig1" ref-type="fig">Figure 1</xref>. A total of 1,404 individuals aged &#x2265;60&#x2009;years old with information on TG, HDL-C, and hand grip strength in the NHANES were initially included. Then, we excluded those who underwent surgery on their hands or wrists (<italic>n</italic>&#x2009;=&#x2009;98), and finally, 1,306 of them were eligible. Participants were divided into three groups according to the TG/HDL-C levels: tertile 1 (<italic>n</italic>&#x2009;=&#x2009;435), tertile 2 (<italic>n</italic>&#x2009;=&#x2009;435), and tertile 3 (<italic>n</italic>&#x2009;=&#x2009;436).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flow chart of the screening of participants.</p>
</caption>
<graphic xlink:href="fpubh-11-1222636-g001.tif"/>
</fig>
<p>The characteristics of participants are presented in <xref rid="tab1" ref-type="table">Table 1</xref>. The average age of the study population was 69.07&#x2009;years old, and 648 (54.22%) of them were women. Most of them do not have DM [816 (69.62%)], CVD [721 (57.13%)], or CKD [1,037 (81.29%)]. In total, 1,068 (79.31%) individuals have hypertension, and 1,117 (85.21%) have dyslipidemia. The mean TG/HDL-C ratio and relative grip strength were 2.60 and 2.21, respectively. Additionally, race, education level, income, drinking, height, weight, BMI, WBC, vitamin D, TG, and HDL-C were all significantly different among the three tertile groups (all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The characteristics of participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="center" valign="top" rowspan="2">Total (<italic>n</italic> =&#x2009;1,306)</th>
<th align="center" valign="top" colspan="3">TG/HDL-C ratio</th>
<th align="center" valign="top" rowspan="2">Statistics</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th align="center" valign="top">Tertile 1 (<italic>n</italic> =&#x2009;435)</th>
<th align="center" valign="top">Tertile 2 (<italic>n</italic> =&#x2009;435)</th>
<th align="center" valign="top">Tertile 3 (<italic>n</italic> =&#x2009;436)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age, years, mean (S.E)</td>
<td align="center" valign="top">69.07 (0.26)</td>
<td align="center" valign="top">68.70 (0.48)</td>
<td align="center" valign="top">69.67 (0.31)</td>
<td align="center" valign="top">68.90 (0.38)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;3.44</td>
<td align="center" valign="top">0.045</td>
</tr>
<tr>
<td align="left" valign="top">Gender, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;4.000</td>
<td align="center" valign="top">0.135</td>
</tr>
<tr>
<td align="left" valign="top">Men</td>
<td align="center" valign="top">658 (45.78)</td>
<td align="center" valign="top">198 (41.37)</td>
<td align="center" valign="top">215 (45.27)</td>
<td align="center" valign="top">245 (50.78)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Women</td>
<td align="center" valign="top">648 (54.22)</td>
<td align="center" valign="top">237 (58.63)</td>
<td align="center" valign="top">220 (54.73)</td>
<td align="center" valign="top">191 (49.22)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Race, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;41.869</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Mexican American</td>
<td align="center" valign="top">117 (3.67)</td>
<td align="center" valign="top">19 (1.58)</td>
<td align="center" valign="top">52 (5.24)</td>
<td align="center" valign="top">46 (4.37)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic Black</td>
<td align="center" valign="top">282 (8.94)</td>
<td align="center" valign="top">130 (12.02)</td>
<td align="center" valign="top">89 (9.28)</td>
<td align="center" valign="top">63 (5.47)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic White</td>
<td align="center" valign="top">637 (78.50)</td>
<td align="center" valign="top">215 (80.08)</td>
<td align="center" valign="top">202 (76.51)</td>
<td align="center" valign="top">220 (78.70)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other Hispanic</td>
<td align="center" valign="top">133 (3.56)</td>
<td align="center" valign="top">26 (1.91)</td>
<td align="center" valign="top">49 (4.20)</td>
<td align="center" valign="top">58 (4.66)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other Race - Including Multi-Racial</td>
<td align="center" valign="top">137 (5.33)</td>
<td align="center" valign="top">45 (4.41)</td>
<td align="center" valign="top">43 (4.77)</td>
<td align="center" valign="top">49 (6.80)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Education level, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;28.163</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Less than 9th grade</td>
<td align="center" valign="top">179 (7.39)</td>
<td align="center" valign="top">40 (4.89)</td>
<td align="center" valign="top">69 (8.88)</td>
<td align="center" valign="top">70 (8.59)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">9&#x2013;11th grade (Includes 12th grade with no diploma)</td>
<td align="center" valign="top">199 (11.15)</td>
<td align="center" valign="top">62 (8.87)</td>
<td align="center" valign="top">69 (13.99)</td>
<td align="center" valign="top">68 (10.90)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">High school graduate/GED or equivalent</td>
<td align="center" valign="top">312 (22.80)</td>
<td align="center" valign="top">94 (19.32)</td>
<td align="center" valign="top">109 (24.17)</td>
<td align="center" valign="top">109 (25.11)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">College graduate or above</td>
<td align="center" valign="top">277 (28.10)</td>
<td align="center" valign="top">128 (40.10)</td>
<td align="center" valign="top">79 (22.36)</td>
<td align="center" valign="top">70 (21.05)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Some college or AA degree</td>
<td align="center" valign="top">339 (30.55)</td>
<td align="center" valign="top">111 (26.82)</td>
<td align="center" valign="top">109 (30.60)</td>
<td align="center" valign="top">119 (34.36)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Marital status, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;0.138</td>
<td align="center" valign="top">0.933</td>
</tr>
<tr>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">756 (65.39)</td>
<td align="center" valign="top">239 (64.63)</td>
<td align="center" valign="top">264 (66.31)</td>
<td align="center" valign="top">253 (65.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Unmarried</td>
<td align="center" valign="top">550 (34.61)</td>
<td align="center" valign="top">196 (35.37)</td>
<td align="center" valign="top">171 (33.69)</td>
<td align="center" valign="top">183 (34.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Income, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;13.563</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;$20,000</td>
<td align="center" valign="top">347 (16.27)</td>
<td align="center" valign="top">90 (10.17)</td>
<td align="center" valign="top">121 (20.35)</td>
<td align="center" valign="top">136 (18.78)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;$20,000</td>
<td align="center" valign="top">959 (83.73)</td>
<td align="center" valign="top">345 (89.83)</td>
<td align="center" valign="top">314 (79.65)</td>
<td align="center" valign="top">300 (81.22)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoking, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;5.121</td>
<td align="center" valign="top">0.077</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">880 (72.42)</td>
<td align="center" valign="top">299 (76.56)</td>
<td align="center" valign="top">304 (74.02)</td>
<td align="center" valign="top">277 (66.68)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">426 (27.58)</td>
<td align="center" valign="top">136 (23.44)</td>
<td align="center" valign="top">131 (25.98)</td>
<td align="center" valign="top">159 (33.32)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Drinking, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;6.314</td>
<td align="center" valign="top">0.043</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">429 (28.14)</td>
<td align="center" valign="top">129 (25.34)</td>
<td align="center" valign="top">157 (34.70)</td>
<td align="center" valign="top">143 (24.97)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">877 (71.86)</td>
<td align="center" valign="top">306 (74.66)</td>
<td align="center" valign="top">278 (65.30)</td>
<td align="center" valign="top">293 (75.03)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Physical activity, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;5.424</td>
<td align="center" valign="top">0.066</td>
</tr>
<tr>
<td align="left" valign="top">High level</td>
<td align="center" valign="top">424 (37.31)</td>
<td align="center" valign="top">156 (43.42)</td>
<td align="center" valign="top">135 (34.47)</td>
<td align="center" valign="top">133 (33.64)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Low level</td>
<td align="center" valign="top">882 (62.69)</td>
<td align="center" valign="top">279 (56.58)</td>
<td align="center" valign="top">300 (65.53)</td>
<td align="center" valign="top">303 (66.36)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">DM, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;76.866</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">816 (69.62)</td>
<td align="center" valign="top">326 (84.56)</td>
<td align="center" valign="top">276 (67.41)</td>
<td align="center" valign="top">214 (56.27)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">490 (30.38)</td>
<td align="center" valign="top">109 (15.44)</td>
<td align="center" valign="top">159 (32.59)</td>
<td align="center" valign="top">222 (43.73)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hypertension, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;10.150</td>
<td align="center" valign="top">0.006</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">238 (20.69)</td>
<td align="center" valign="top">92 (26.28)</td>
<td align="center" valign="top">88 (22.68)</td>
<td align="center" valign="top">58 (13.12)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">1,068 (79.31)</td>
<td align="center" valign="top">343 (73.72)</td>
<td align="center" valign="top">347 (77.32)</td>
<td align="center" valign="top">378 (86.88)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Dyslipidemia, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;67.048</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">189 (14.79)</td>
<td align="center" valign="top">119 (29.29)</td>
<td align="center" valign="top">64 (12.97)</td>
<td align="center" valign="top">6 (1.54)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">1,117 (85.21)</td>
<td align="center" valign="top">316 (70.71)</td>
<td align="center" valign="top">371 (87.03)</td>
<td align="center" valign="top">430 (98.46)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">CVD, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;14.057</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">721 (57.13)</td>
<td align="center" valign="top">261 (64.57)</td>
<td align="center" valign="top">249 (58.03)</td>
<td align="center" valign="top">211 (48.65)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">585 (42.87)</td>
<td align="center" valign="top">174 (35.43)</td>
<td align="center" valign="top">186 (41.97)</td>
<td align="center" valign="top">225 (51.35)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Anemia, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;0.527</td>
<td align="center" valign="top">0.769</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">1,127 (91.36)</td>
<td align="center" valign="top">368 (91.64)</td>
<td align="center" valign="top">376 (90.36)</td>
<td align="center" valign="top">383 (91.98)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">179 (8.64)</td>
<td align="center" valign="top">67 (8.36)</td>
<td align="center" valign="top">59 (9.64)</td>
<td align="center" valign="top">53 (8.02)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Depression, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;3.740</td>
<td align="center" valign="top">0.154</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">1,204 (93.10)</td>
<td align="center" valign="top">408 (93.26)</td>
<td align="center" valign="top">406 (95.11)</td>
<td align="center" valign="top">390 (91.09)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">102 (6.90)</td>
<td align="center" valign="top">27 (6.74)</td>
<td align="center" valign="top">29 (4.89)</td>
<td align="center" valign="top">46 (8.91)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Osteoporosis, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;1.300</td>
<td align="center" valign="top">0.522</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">1,218 (93.18)</td>
<td align="center" valign="top">401 (91.85)</td>
<td align="center" valign="top">406 (93.25)</td>
<td align="center" valign="top">411 (94.48)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">88 (6.82)</td>
<td align="center" valign="top">34 (8.15)</td>
<td align="center" valign="top">29 (6.75)</td>
<td align="center" valign="top">25 (5.52)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Arthritis, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;0.149</td>
<td align="center" valign="top">0.928</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">708 (52.95)</td>
<td align="center" valign="top">224 (52.19)</td>
<td align="center" valign="top">250 (54.04)</td>
<td align="center" valign="top">234 (52.72)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">598 (47.05)</td>
<td align="center" valign="top">211 (47.81)</td>
<td align="center" valign="top">185 (45.96)</td>
<td align="center" valign="top">202 (47.28)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">CKD, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;13.312</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">1,037 (81.29)</td>
<td align="center" valign="top">373 (87.95)</td>
<td align="center" valign="top">340 (78.64)</td>
<td align="center" valign="top">324 (76.88)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">269 (18.71)</td>
<td align="center" valign="top">62 (12.05)</td>
<td align="center" valign="top">95 (21.36)</td>
<td align="center" valign="top">112 (23.12)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Height, cm, mean (S.E)</td>
<td align="center" valign="top">166.82 (0.44)</td>
<td align="center" valign="top">165.63 (0.47)</td>
<td align="center" valign="top">166.64 (0.68)</td>
<td align="center" valign="top">168.20 (0.81)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;3.53</td>
<td align="center" valign="top">0.041</td>
</tr>
<tr>
<td align="left" valign="top">Weight, kg, mean (S.E)</td>
<td align="center" valign="top">81.19 (1.21)</td>
<td align="center" valign="top">73.19 (1.23)</td>
<td align="center" valign="top">80.70 (1.32)</td>
<td align="center" valign="top">89.89 (1.90)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;34.42</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">BMI, kg/m<sup>2</sup>, mean (S.E)</td>
<td align="center" valign="top">29.07 (0.39)</td>
<td align="center" valign="top">26.61 (0.38)</td>
<td align="center" valign="top">29.03 (0.55)</td>
<td align="center" valign="top">31.65 (0.54)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;42.18</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">BMI, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x03C7;<sup>2</sup> =&#x2009;80.355</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Obesity</td>
<td align="center" valign="top">474 (36.98)</td>
<td align="center" valign="top">106 (19.81)</td>
<td align="center" valign="top">149 (37.16)</td>
<td align="center" valign="top">219 (54.51)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Overweight</td>
<td align="center" valign="top">467 (35.98)</td>
<td align="center" valign="top">146 (36.29)</td>
<td align="center" valign="top">169 (38.02)</td>
<td align="center" valign="top">152 (33.79)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Underweight and normal</td>
<td align="center" valign="top">365 (27.03)</td>
<td align="center" valign="top">183 (43.90)</td>
<td align="center" valign="top">117 (24.82)</td>
<td align="center" valign="top">65 (11.70)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Albumin, g/dL, mean (S.E)</td>
<td align="center" valign="top">4.21 (0.01)</td>
<td align="center" valign="top">4.21 (0.02)</td>
<td align="center" valign="top">4.21 (0.02)</td>
<td align="center" valign="top">4.20 (0.02)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;0.25</td>
<td align="center" valign="top">0.783</td>
</tr>
<tr>
<td align="left" valign="top">Creatinine, mg/dL, mean (S.E)</td>
<td align="center" valign="top">0.97 (0.02)</td>
<td align="center" valign="top">0.95 (0.05)</td>
<td align="center" valign="top">0.96 (0.02)</td>
<td align="center" valign="top">1.00 (0.02)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;0.87</td>
<td align="center" valign="top">0.429</td>
</tr>
<tr>
<td align="left" valign="top">WBC, K/uL, mean (S.E)</td>
<td align="center" valign="top">6.61 (0.11)</td>
<td align="center" valign="top">6.10 (0.16)</td>
<td align="center" valign="top">6.47 (0.12)</td>
<td align="center" valign="top">7.27 (0.15)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;19.04</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Protein, g, mean (S.E)</td>
<td align="center" valign="top">72.21 (1.44)</td>
<td align="center" valign="top">74.29 (2.23)</td>
<td align="center" valign="top">71.14 (2.48)</td>
<td align="center" valign="top">71.06 (2.47)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;1.01</td>
<td align="center" valign="top">0.375</td>
</tr>
<tr>
<td align="left" valign="top">Protein supplement, g, mean (S.E)</td>
<td align="center" valign="top">0.07 (0.04)</td>
<td align="center" valign="top">0.13 (0.11)</td>
<td align="center" valign="top">0.04 (0.01)</td>
<td align="center" valign="top">0.03 (0.01)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;1.07</td>
<td align="center" valign="top">0.354</td>
</tr>
<tr>
<td align="left" valign="top">PUFA, gm, mean (S.E)</td>
<td align="center" valign="top">16.69 (0.53)</td>
<td align="center" valign="top">17.68 (0.70)</td>
<td align="center" valign="top">16.15 (0.58)</td>
<td align="center" valign="top">16.15 (1.11)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;2.84</td>
<td align="center" valign="top">0.073</td>
</tr>
<tr>
<td align="left" valign="top">PUFA supplement, gm, mean (S.E)</td>
<td align="center" valign="top">0.10 (0.02)</td>
<td align="center" valign="top">0.12 (0.03)</td>
<td align="center" valign="top">0.12 (0.03)</td>
<td align="center" valign="top">0.07 (0.01)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;1.56</td>
<td align="center" valign="top">0.225</td>
</tr>
<tr>
<td align="left" valign="top">Vitamin D, mcg, mean (S.E)</td>
<td align="center" valign="top">4.87 (0.13)</td>
<td align="center" valign="top">5.48 (0.31)</td>
<td align="center" valign="top">4.68 (0.28)</td>
<td align="center" valign="top">4.42 (0.26)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;3.48</td>
<td align="center" valign="top">0.043</td>
</tr>
<tr>
<td align="left" valign="top">Vitamin D supplement, mcg, mean (S.E)</td>
<td align="center" valign="top">20.48 (1.19)</td>
<td align="center" valign="top">22.07 (2.25)</td>
<td align="center" valign="top">21.60 (2.32)</td>
<td align="center" valign="top">17.82 (2.26)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;1.19</td>
<td align="center" valign="top">0.316</td>
</tr>
<tr>
<td align="left" valign="top">TG, mg/dL, mean (S.E)</td>
<td align="center" valign="top">124.66 (4.45)</td>
<td align="center" valign="top">66.76 (1.19)</td>
<td align="center" valign="top">109.74 (1.66)</td>
<td align="center" valign="top">197.99 (5.28)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;484.71</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">HDL-C, mg/dL, mean (S.E)</td>
<td align="center" valign="top">56.66 (1.14)</td>
<td align="center" valign="top">71.58 (1.05)</td>
<td align="center" valign="top">54.34 (0.60)</td>
<td align="center" valign="top">43.45 (0.68)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;515.21</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">TG/HDL-C ratio, mean (S.E)</td>
<td align="center" valign="top">2.60 (0.15)</td>
<td align="center" valign="top">0.97 (0.02)</td>
<td align="center" valign="top">2.03 (0.03)</td>
<td align="center" valign="top">4.81 (0.18)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;699.66</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Grip strength, kg, mean (S.E)</td>
<td align="center" valign="top">61.89 (0.80)</td>
<td align="center" valign="top">60.37 (1.29)</td>
<td align="center" valign="top">60.87 (1.28)</td>
<td align="center" valign="top">64.40 (1.62)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;1.70</td>
<td align="center" valign="top">0.199</td>
</tr>
<tr>
<td align="left" valign="top">Relative grip strength, mean (S.E)</td>
<td align="center" valign="top">2.21 (0.03)</td>
<td align="center" valign="top">2.33 (0.04)</td>
<td align="center" valign="top">2.18 (0.06)</td>
<td align="center" valign="top">2.10 (0.06)</td>
<td align="center" valign="top"><italic>F</italic> =&#x2009;5.96</td>
<td align="center" valign="top">0.006</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>F, F test; &#x03C7;<sup>2</sup>, chi-square test.</p>
<p>TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; SE, standard error; DM, diabetes mellitus; CVDs, cardiovascular disease; CKDs, chronic kidney diseases; BMI, body mass index; WBC, white blood cell; PUFA, polyunsaturated fatty acid.</p>
<p>Tertile 1: TG/HDL-C ratio&#x2009;&#x003C;&#x2009;1.47.</p>
<p>Tertile 2: 1.47&#x2009;&#x2264;&#x2009;TG/HDL-C ratio&#x2009;&#x003C;&#x2009;2.69.</p>
<p>Tertile 3: TG/HDL-C ratio&#x2009;&#x2265;&#x2009;2.69.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<title>Association between TG/HDL-C ratio and the relative grip strength</title>
<p><xref rid="tab2" ref-type="table">Table 2</xref> shows the covariates that are associated with the relative grip strength. We found that age, gender, race, education level, marital status, income, drinking, physical activity, DM, hypertension, dyslipidemia, CVD, osteoporosis, arthritis, CKD, albumin, WBC, protein, and PUFA were associated with relative grip strength (all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Then, we included these variables in a stepwise regression analysis, and the results showed that age, gender, race, marital status, physical activity, DM, CVD, arthritis, CKD, and albumin were the final covariates.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Screening of covariates for the relative grip strength.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="center" valign="top" colspan="2">Univariate linear regression</th>
<th align="center" valign="top" colspan="2">Stepwise regression</th>
</tr>
<tr>
<th align="center" valign="top">&#x03B2; (95% CI)</th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">&#x03B2; (95% CI)</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">&#x2212;0.03 (&#x2212;0.04, &#x2212;0.02)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x2212;0.02 (&#x2212;0.02, &#x2212;0.01)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Gender</bold></td>
</tr>
<tr>
<td align="left" valign="top">Men</td>
<td align="center" valign="top">Ref</td>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Women</td>
<td align="center" valign="top">&#x2212;1.03 (&#x2212;1.12, &#x2212;0.95)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x2212;0.98 (&#x2212;1.07, &#x2212;0.89)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Race</bold></td>
</tr>
<tr>
<td align="left" valign="top">Mexican American</td>
<td align="center" valign="top">Ref</td>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic Black</td>
<td align="center" valign="top">0.37 (0.17, 0.56)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">0.37 (0.27, 0.47)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic White</td>
<td align="center" valign="top">0.33 (0.12, 0.55)</td>
<td align="center" valign="top">0.003</td>
<td align="center" valign="top">0.21 (0.12, 0.30)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Other Hispanic</td>
<td align="center" valign="top">0.06 (&#x2212;0.18, 0.31)</td>
<td align="center" valign="top">0.599</td>
<td align="center" valign="top">0.04 (&#x2212;0.05, 0.12)</td>
<td align="center" valign="top">0.364</td>
</tr>
<tr>
<td align="left" valign="top">Other Race - Including Multi-Racial</td>
<td align="center" valign="top">0.29 (0.06, 0.51)</td>
<td align="center" valign="top">0.016</td>
<td align="center" valign="top">0.21 (0.10, 0.32)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Education level</bold></td>
</tr>
<tr>
<td align="left" valign="top">9&#x2013;11th grade (Includes 12th grade with no diploma)</td>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">College graduate or above</td>
<td align="center" valign="top">0.43 (0.26, 0.60)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">High school graduate/GED or equivalent</td>
<td align="center" valign="top">0.01 (&#x2212;0.14, 0.16)</td>
<td align="center" valign="top">0.938</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Less than 9th grade</td>
<td align="center" valign="top">&#x2212;0.08 (&#x2212;0.26, 0.10)</td>
<td align="center" valign="top">0.376</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Some college or AA degree</td>
<td align="center" valign="top">0.07 (&#x2212;0.08, 0.21)</td>
<td align="center" valign="top">0.354</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Marital status</bold></td>
</tr>
<tr>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">Ref</td>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Unmarried</td>
<td align="center" valign="top">&#x2212;0.36 (&#x2212;0.50, &#x2212;0.21)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x2212;0.1 (&#x2212;0.19, &#x2212;0.01)</td>
<td align="center" valign="top">0.025</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Income</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;$20,000</td>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;$20,000</td>
<td align="center" valign="top">0.38 (0.26, 0.51)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Smoking</bold></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">0 (&#x2212;0.11, 0.12)</td>
<td align="center" valign="top">0.942</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Drinking</bold></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">0.44 (0.30, 0.57)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Physical activity</bold></td>
</tr>
<tr>
<td align="left" valign="top">High level</td>
<td align="center" valign="top">Ref</td>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Low level</td>
<td align="center" valign="top">&#x2212;0.5 (&#x2212;0.64, &#x2212;0.37)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x2212;0.24 (&#x2212;0.35, &#x2212;0.13)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>DM</bold></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">Ref</td>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">&#x2212;0.39 (&#x2212;0.49, &#x2212;0.29)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x2212;0.21 (&#x2212;0.27, &#x2212;0.15)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Hypertension</bold></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">&#x2212;0.22 (&#x2212;0.41, &#x2212;0.03)</td>
<td align="center" valign="top">0.028</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Dyslipidemia</bold></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">&#x2212;0.39 (&#x2212;0.57, &#x2212;0.20)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>CVD</bold></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">Ref</td>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">&#x2212;0.18 (&#x2212;0.32, &#x2212;0.03)</td>
<td align="center" valign="top">0.020</td>
<td align="center" valign="top">&#x2212;0.13 (&#x2212;0.22, &#x2212;0.04)</td>
<td align="center" valign="top">0.007</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Osteoporosis</bold></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">&#x2212;0.29 (&#x2212;0.50, &#x2212;0.08)</td>
<td align="center" valign="top">0.008</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Arthritis</bold></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">Ref</td>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">&#x2212;0.39 (&#x2212;0.51, &#x2212;0.26)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x2212;0.17 (&#x2212;0.28, &#x2212;0.06)</td>
<td align="center" valign="top">0.004</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>CKD</bold></td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">Ref</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">&#x2212;0.3 (&#x2212;0.42, &#x2212;0.18)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Albumin</td>
<td align="center" valign="top">0.65 (0.41, 0.88)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">0.41 (0.26, 0.57)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Creatinine</td>
<td align="center" valign="top">0.09 (&#x2212;0.09, 0.28)</td>
<td align="center" valign="top">0.311</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">WBC</td>
<td align="center" valign="top">&#x2212;0.04 (&#x2212;0.07, &#x2212;0.01)</td>
<td align="center" valign="top">0.007</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Protein</td>
<td align="center" valign="top">0.01 (0.01, 0.01)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Vitamin D</td>
<td align="center" valign="top">0 (&#x2212;0.00, 0.00)</td>
<td align="center" valign="top">0.083</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">PUFA</td>
<td align="center" valign="top">0.02 (0.01, 0.03)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CI, confidence interval; Ref, reference; DM, diabetes mellitus; CVD, cardiovascular disease; CKD, chronic kidney diseases; WBC, white blood cell; PUFA, polyunsaturated fatty acid.</p>
</table-wrap-foot>
</table-wrap>
<p>After adjusting for the covariates above, we found that higher TG/HDL-C level was negatively linked to the relative grip strength [tertile 2: &#x03B2;&#x2009;=&#x2009;&#x2212;0.1, 95% CI: (&#x2212;0.19, &#x2212;0.01); tertile 3: &#x03B2;&#x2009;=&#x2009;&#x2212;0.19, 95% CI: (&#x2212;0.26, &#x2212;0.12)], indicating that the relative grip strength may decrease significantly along with the increase in the TG/HDL-C ratio (<xref rid="tab3" ref-type="table">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Association between TG/HDL-C and the relative grip strength.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">TG/HDL-C ratio</th>
<th align="center" valign="top" colspan="2">Model 1</th>
<th align="center" valign="top" colspan="2">Model 2</th>
<th align="center" valign="top" colspan="2">Model 3</th>
</tr>
<tr>
<th align="center" valign="top">&#x03B2; (95% CI)</th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">&#x03B2; (95% CI)</th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">&#x03B2; (95% CI)</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Tertile 1</td>
<td align="center" valign="top">Ref</td>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
<td align="center" valign="top">Ref</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tertile 2</td>
<td align="center" valign="top">&#x2212;0.16 (&#x2212;0.30, &#x2212;0.01)</td>
<td align="center" valign="top">0.036</td>
<td align="center" valign="top">&#x2212;0.16 (&#x2212;0.26, &#x2212;0.05)</td>
<td align="left" valign="top">0.005</td>
<td align="center" valign="top">&#x2212;0.1 (&#x2212;0.19, &#x2212;0.01)</td>
<td align="left" valign="top">0.028</td>
</tr>
<tr>
<td align="left" valign="top">Tertile 3</td>
<td align="center" valign="top">&#x2212;0.23 (&#x2212;0.37, &#x2212;0.08)</td>
<td align="center" valign="top">0.003</td>
<td align="center" valign="top">&#x2212;0.3 (&#x2212;0.39, &#x2212;0.21)</td>
<td align="left" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">&#x2212;0.19 (&#x2212;0.26, &#x2212;0.12)</td>
<td align="left" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; CI, confidence interval; Ref, reference.</p>
<p>Model 1: crude model.</p>
<p>Model 2: adjusted for age, gender, race, and marital status.</p>
<p>Model 3: adjusted for age, gender, race, marital status, physical activity, DM, CVD, arthritis, CKD, and albumin.</p>
<p>Tertile 1: TG/HDL-C ratio&#x2009;&#x003C;&#x2009;1.47.</p>
<p>Tertile 2: 1.47&#x2009;&#x2264;&#x2009;TG/HDL-C ratio&#x2009;&#x003C;&#x2009;2.69.</p>
<p>Tertile 3: TG/HDL-C ratio&#x2009;&#x2265;&#x2009;2.69.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<title>Association between TG/HDL-C ratio and the relative grip strength in gender, DM, CVD, and arthritis subgroups</title>
<p>We further explored this relationship in subgroups of gender, DM, CVD, and arthritis (<xref rid="fig2" ref-type="fig">Figure 2</xref>). The TG/HDL-C ratio was also negatively associated with the relative grip strength in participants who were women, with CVD, and without DM (all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). In men, both arthritis and non-arthritis populations, this negative relationship only existed when the TG/HDL-C ratio was &#x2265;2.69 (all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Association between the TG/HDL-C ratio and the relative grip strength in gender, DM, CVD, and arthritis subgroups.</p>
</caption>
<graphic xlink:href="fpubh-11-1222636-g002.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec16">
<title>Discussion</title>
<p>In this study, we explored the association between the TG/HDL-C ratio and the relative grip strength in older adults. The results showed that after adjusting for the covariates including age, gender, race, marital status, physical activity, DM, CVD, arthritis, CKD, and albumin, the TG/HDL-C ratio was negatively associated with the relative grip strength. This relationship was also found in those who were women, not having DM, and having CVD.</p>
<p>The TG/HDL-C ratio can reflect the comprehensive level of lipid metabolism in the body and has been indicated as a risk factor in some diseases (<xref ref-type="bibr" rid="ref25 ref26 ref27">25&#x2013;27</xref>). Liu et al. (<xref ref-type="bibr" rid="ref11">11</xref>) found that an increased TG/HDL-C ratio indicated a greater risk of new-onset T2DM and may be a simple but effective indicator in predicting T2DM in older adults. Wu et al. (<xref ref-type="bibr" rid="ref28">28</xref>) showed that the TG/HDL-C ratio was significantly associated with arterial stiffness progression in hypertensive population. Kim et al. (<xref ref-type="bibr" rid="ref29">29</xref>) considered that higher TG/HDL-C ratios were positively associated with CKD development in men, while middle levels of TG/HDL ratios reduced the CKD incidence in women. However, to the best of our knowledge, no previous study has explored the relationship between the TG/HDL-C ratio and grip strength. A MONET study on overweight and obese postmenopausal women showed that the TG/HDL-C ratio was significantly correlated with muscle strength (<xref ref-type="bibr" rid="ref30">30</xref>). Wang et al. (<xref ref-type="bibr" rid="ref14">14</xref>) found a negative association between sarcopenia and TG/HDL-C ratio in community-dwelling adults in China. In addition, Lin et al. (<xref ref-type="bibr" rid="ref31">31</xref>) studied older patients with DM in China and found that there was a negative association between TG/HDL-C ratio and sarcopenia, indicating that a higher TG/HDL-C ratio was associated with better muscle status. Differently, in the current study, we found that the TG/HDL-C ratio was negatively associated with the relative grip strength in adults aged &#x2265;60&#x2009;years old, which indicated that the TG/HDL-C ratio may be suggested to be controlled at an appropriate level in clinical practice and may benefit to prevent and control sarcopenia in older adults. However, the causal association between the TG/HDL-C ratio and grip strength and the role of the TG/HDL-C ratio in sarcopenia needs further exploration.</p>
<p>The potential mechanism to explain the role of the TG/HDL-C ratio in grip strength and sarcopenia in older adults has been unclear. Based on the data from the 2019 Korea National Health and Nutrition Examination Survey, a study showed that TG was significantly lower while HDL-C was significantly higher in the participants with high muscle strength than in those with low muscle strength (<xref ref-type="bibr" rid="ref32">32</xref>). Under healthy conditions, intramuscular TG can be utilized as a readily available fuel source for muscle contraction during physical exercise; however, it can also be associated with pathological conditions, such as IR and sarcopenia (<xref ref-type="bibr" rid="ref33">33</xref>). In skeletal muscle, lipids in the plasma membrane can induce intracellular signal transduction such as releasing Ca<sup>2+</sup> from the endoplasmic reticulum (ER), which has an important function in muscle contraction (<xref ref-type="bibr" rid="ref34">34</xref>). A study conducted by Park et al. (<xref ref-type="bibr" rid="ref35">35</xref>) showed that when the level of physical activity increased, the prevalence of sarcopenia decreased, and above moderate-active physical activity levels were associated with higher HDL-C than low-active physical activity. In addition, patients with T2DM are prone to lose muscle mass more rapidly, thus becoming more susceptible to IR than the general population (<xref ref-type="bibr" rid="ref36">36</xref>). Therapeutics for patients with T2DM or other dysmetabolic conditions may affect the body composition, for example, the muscle strength and the muscle quality index (<xref ref-type="bibr" rid="ref37">37</xref>). According to these findings, we speculated that disturbance in lipid metabolism including an increase in TG level and decrease in HDL-C level may contribute to reduced muscle strength during aging, which played an important role in the development of sarcopenia. In addition, physical activities in older adults can help improve musculoskeletal health by increasing muscle strength and flexibility, which are factors related to sarcopenia. We concluded that older adults should control TG/HDL-C levels within the appropriate range and appropriately strengthen exercise to prevent the occurrence of sarcopenia under the guidance of physicians.</p>
<p>We further explored the association between TG/HDL-C ratio and relative grip strength in gender, DM, CVD, and arthritis subgroups. Subgroup analyses showed that increased TG/HDL-C ratio was associated with decreased relative grip strength in older adults who were women, without DM, or with CVD. Gender is a risk factor for sarcopenia (<xref ref-type="bibr" rid="ref38">38</xref>). A previous study indicated that muscle strength correlates with total body bone mineral density, which was significant in women but not in men (<xref ref-type="bibr" rid="ref39">39</xref>). Kim et al. (<xref ref-type="bibr" rid="ref40">40</xref>) investigated the changes in metabolic indices of serum lipid level and serum glucose level according to grip strength in postmenopausal women and found that with a high relative grip strength, the TG level decreased while the HDL-C level increased. The difference in the age-related changes in factors such as physical activity, nutritional status, sex hormones, and growth hormones which affect muscle quality/quantity between women and men may contribute to the gender difference in muscle (<xref ref-type="bibr" rid="ref41">41</xref>). Insulin plays an important role in the anabolic action of skeletal muscle, and it can be progressively lost in T2DM, which may induce decreased protein synthesis and increased protein degradation, leading to a reduction in muscle strength (<xref ref-type="bibr" rid="ref42">42</xref>). Increased TG/HDL-C ratio indicating a greater risk of new-onset T2DM is well known so DM patients may follow doctor&#x2019;s advice or spontaneously control their TG and HDL-C levels through medication or other means (<xref ref-type="bibr" rid="ref11">11</xref>). This may explain why this relationship was more significant among the non-DM population. CVD is a chronic comorbidity that often exacerbates sarcopenia (<xref ref-type="bibr" rid="ref43">43</xref>). Studies have reported an increased prevalence of CVD risk factors, such as DM, hypertension, dyslipidemia, and metabolic syndrome, which are related to lowered skeletal muscle mass (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>). In addition, the TG/HDL-C ratio was associated with arterial stiffness progression in patients with hypertension (<xref ref-type="bibr" rid="ref28">28</xref>). The underlying mechanisms of the relationship between sarcopenia and CVD are multifactorial, involving pathophysiological changes such as muscle mitochondria dysfunction, oxidative stress, multiple metabolic disorders, malnutrition, and insufficient physical activity (<xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref47">47</xref>). Our results may be a supplement to previous reports, and we found that in older adults who had CVD, the TG/HDL-C ratio was negatively associated with the relative grip strength, indicating that it was meaningful to focus on this ratio in patients with CVD to prevent sarcopenia. We concluded that serum TG/HDL-C ratio level should be taken into consideration for the evaluation and dynamic monitoring for grip strength and sarcopenia in older adults, especially those who have different clinical chronic diseases.</p>
<sec id="sec17">
<title>Strengths and limitations</title>
<p>Data of the study population were extracted from the NHANES database, which used a multistage sampling design with a weighting scheme, and thus, the sample size was large and representative. To the best of our knowledge, it is the first time to explore the association between the TG/HDL-C ratio and relative grip strength in individuals aged &#x2265;60&#x2009;years old. However, there are still some limitations to this study. This study is a retrospective study so no causal association could be established. In addition, information regarding the muscle function-related index was not available in the NHANES, and further study exploring the TG/HDL-C ratio and muscle function in older adults is still needed.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec18">
<title>Conclusion</title>
<p>With the increase in the TG/HDL-C ratio, the relative grip strength of older adults decreased significantly, indicating that the TG/HDL-C ratio should be closely monitored in the older adult population because it may associated with the prevention and control of sarcopenia.</p>
</sec>
<sec sec-type="data-availability" id="sec19">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: the NHANES database, <ext-link xlink:href="https://wwwn.cdc.gov/nchs/nhanes/" ext-link-type="uri">https://wwwn.cdc.gov/nchs/nhanes/</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec20">
<title>Ethics statement</title>
<p>The requirement of ethical approval was waived by The First Affiliated Hospital of Traditional Chinese Medicine of Chengdu Medical College for the studies involving humans because Since NHANES was approved by the Institutional Review Board of the NCHS of the US Centers for Disease Control and Prevention and the data were publicly available, no ethical approval of our IRB was required. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board also waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because Since NHANES was approved by the Institutional Review Board of the NCHS of the US Centers for Disease Control and Prevention and the data were publicly available, no ethical approval of our IRB was required.</p>
</sec>
<sec sec-type="author-contributions" id="sec21">
<title>Author contributions</title>
<p>YH designed the study, wrote the manuscript, critically reviewed, edited, and approved the manuscript. JL and YL collected, analyzed, and interpreted the data. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec sec-type="COI-statement" id="sec22">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<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="sec23">
<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.2023.1222636/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2023.1222636/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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