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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging</journal-id>
<journal-title-group>
<journal-title>Frontiers in Aging</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2673-6217</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1764198</article-id>
<article-id pub-id-type="doi">10.3389/fragi.2026.1764198</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of physical disability and widowhood on the survival of centenarians: a 7-year follow-up of CHCCS centenarians</article-title>
<alt-title alt-title-type="left-running-head">Han et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fragi.2026.1764198">10.3389/fragi.2026.1764198</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Han</surname>
<given-names>Songmei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhao</surname>
<given-names>Dongxu</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Jianbo</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shen</surname>
<given-names>Mingzhi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1467153"/>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hua</surname>
<given-names>Fei</given-names>
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<sup>1</sup>
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<aff id="aff1">
<label>1</label>
<institution>Department of Endocrinology, The Third Affiliated Hospital of Soochow University</institution>, <city>Changzhou</city>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Department of General Medicine, Hainan Hospital of Chinese People&#x2019;s Liberation Army General Hospital</institution>, <city>Sanya</city>, <country country="CN">China</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Department of General Surgery, The Second Naval Hospital of Southern Theater Command of People&#x2019;s Liberation Army</institution>, <city>Sanya</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Mingzhi Shen, <email xlink:href="mailto:shenmz301@163.com">shenmz301@163.com</email>; Fei Hua, <email xlink:href="mailto:13118965152@163.com">13118965152@163.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-24">
<day>24</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>7</volume>
<elocation-id>1764198</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>09</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Han, Zhao, Wu, Shen and Hua.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Han, Zhao, Wu, Shen and Hua</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-24">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Centenarians, being at the end of their life span, are particularly vulnerable to various health risks. Multiple factors can influence their survival and targeted intervention on these factors may promote healthy aging.</p>
</sec>
<sec>
<title>Purpose</title>
<p>This study aims to explore the effect of physical disability and widowhood on the survival of centenarians.</p>
</sec>
<sec>
<title>Methods</title>
<p>Based on the China Hainan Centenarian Cohort Study (CHCCS), this study followed 787 centenarians for 7&#xa0;years. Data were collected using formal designed questionnaire, physical examination and experimental tests. Questionnaire contains information including geographical data, cognitive and physical function. All the participants were followed-up annually. The endpoint of the follow-up was death or the end of the study. Cox regression analysis was conducted to identify survival-related factors, followed by stratified analysis according to their marital status.</p>
</sec>
<sec>
<title>Results</title>
<p>Out of the 787 centenarians, only 382 survived after 7&#xa0;years, resulting in a mortality rate of 51.46%. Multivariate Cox regression analysis showed that activities of daily living (ADL) (for ADL&#x3c;60 vs. ADL&#x2265;90: HR &#x3d; 1.933, 95% CI: 1.411&#x2013;2.648, <italic>p</italic> &#x3c; 0.001; for 60&#x2264;ADL&#x3c;90 vs. ADL&#x2265;90: HR &#x3d; 1.438, 95% CI: 1.084&#x2013;1.907, <italic>p</italic> &#x3d; 0.012) was significant factors affecting survival. Stratified analysis based on marital status showed that physical disability was an influence factor of survival in widowed (for ADL&#x3c;60 vs. ADL&#x2265;90, HR &#x3d; 2.020, 95% CI: 1.450&#x2013;2.814, <italic>p</italic> &#x3c; 0.001; for 60&#x2264;ADL&#x3c;90 vs. ADL&#x2265;90, HR &#x3d; 1.493, 95% CI: 1.108&#x2013;2.011, <italic>p</italic> &#x3d; 0.008) centenarians.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Physical disability and widowhood were important predictors of survival among centenarians. Adequate external assistance should be provided to the disabled and widowed centenarians to enhance their quality of life and survival prospects.</p>
</sec>
</abstract>
<kwd-group>
<kwd>activity of daily life</kwd>
<kwd>centenarian</kwd>
<kwd>physical disability</kwd>
<kwd>survival</kwd>
<kwd>widow</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Natural Science Foundation of Hainan Province</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100004761</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was funded by grant from the National Key R&#x26;D Program of China (Grant No. 2022YFA0807300); National Natural Science Foundation of China (Grant No. 82570501); Changzhou Medical Center, Nanjing Medical University Clinical Project (Grant No. CMCC202407); Leading Talent of Changzhou &#x201C;The 14th Five-Year Plan&#x201D; High-Level Health Talents Training Project (Grant No. 2022CZLJ003); Changzhou Key Medical Discipline Project (Grant No. CZXK202201); Youth Autonomous Innovation Scientific Fund of Hainan Hospital of PLA General Hospital (Grant No. 2024-HNYY-CZ-02); Natural Science Foundation of Hainan Province of China (Grant No. ZDYF2023SHFZ145).</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="55"/>
<page-count count="10"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Healthy Longevity</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Due to the physiological limitations, the proportion of centenarians within the population remains very low, and research on this unique group is relatively scarce. While most people aspire to live as long as possible, advancements in material resources and medical science have increased this possibility (<xref ref-type="bibr" rid="B27">Li et al., 2024</xref>). However, with the extension of life span, physical, cognitive, and multi-morbidity challenges inevitably accumulate (<xref ref-type="bibr" rid="B32">Robert and Fulop, 2014</xref>). Data from the Chinese Longitudinal Healthy Longevity Study (CLHLS) showed that activities of daily living (ADL) decreased by 0.8%&#x2013;2.8% annually in individuals aged 80 years and older (<xref ref-type="bibr" rid="B52">Zeng et al., 2017</xref>). Compared with the general elderly population, centenarians exhibit a higher dependency on medical resources, social care, as well as associated care costs (<xref ref-type="bibr" rid="B7">Chen and Park, 2023</xref>). Understanding the influencing factors contributing to disability and mortality in this population is crucial, as targeted interventions can help reduce costs and improve the efficiency of limited social resources (<xref ref-type="bibr" rid="B14">Cruces-Salguero et al., 2022</xref>; <xref ref-type="bibr" rid="B53">Zhao et al., 2020</xref>).</p>
<p>Among the various challenges faced by centenarians, the decline in physical function is pronounced (<xref ref-type="bibr" rid="B26">Lepers et al., 2016</xref>). A modeling study (<xref ref-type="bibr" rid="B55">Zimmer et al., 2012</xref>) of individuals aged 80 and older revealed an increase in the number of people with impaired ADL as age progresses. This decline in physical function often places centenarians at greater risk of health deterioration and mortality (<xref ref-type="bibr" rid="B28">Mosfeldt et al., 2019</xref>). An analysis of 13666 individuals aged 65 and older from the CLHLS (2002&#x2013;2014) showed that the hazard ratio (HR) for death among individuals with disabilities was 1.44 (95%CI: 1.48&#x2013;1.90) compared with those without disabilities (<xref ref-type="bibr" rid="B50">Yang et al., 2021</xref>). The deteriorated physical function of centenarians also have a detrimental effect on their mental health. Therefore, this study proposes the following hypothese:</p>
<p>
<statement content-type="h1" id="H1">
<label>H1</label>
<p>Physical disability negatively influence the survival of centenarians.</p>
<p>Widowhood, which occurs at various stages of adulthood, significantly impacts both the physical and psychological wellbeing of those affected (<xref ref-type="bibr" rid="B44">Wang et al., 2024</xref>). The consequences can be both short-term and long-term. In the early stages of losing a partner, survivors may experience severe psychological and emotional distress (<xref ref-type="bibr" rid="B37">Sheftel et al., 2024</xref>). Over time, long-term widows often experience feelings of loneliness and lack of dependence (<xref ref-type="bibr" rid="B48">Yang, 2021</xref>; <xref ref-type="bibr" rid="B49">Yang and Gu, 2021</xref>). Previous studies have confirmed the relationship between widowhood and increased mortality (<xref ref-type="bibr" rid="B1">Barrenetxea et al., 2023</xref>; <xref ref-type="bibr" rid="B3">Blanner et al., 2020</xref>). A cross-sectional survey (<xref ref-type="bibr" rid="B21">Hsiao et al., 2021</xref>) in Taiwan showed that widowed individuals had a higher risk of death compared with the non-widowed individuals. Similarly, a study (<xref ref-type="bibr" rid="B1">Barrenetxea et al., 2023</xref>) based on 15,858 Singaporean Chinese aged 61&#x2013;96 found that widowed adults had a higher mortality risk (HR &#x3d; 1.18, 95% CI: 1.01&#x2013;1.38). However, there is limited research on the impact of widowhood on the survival of centenarians, suggesting the need for greater attention to the health status and marital circumstances of centenarians. Therefore, this study proposes the following hypotheses:</p>
</statement>
</p>
<p>
<statement content-type="h2" id="H2">
<label>H2</label>
<p>Widowhood negatively influence the survival of centenarians.</p>
<p>Previous studies (<xref ref-type="bibr" rid="B20">Ho and Hung, 2013</xref>) have highlighted the importance of ADL and widowhood separately as predictors of mortality risk among ordinary population. Physically disabled centenarians lack the ability to complete daily life. Spouses are the closest partners of centenarians and can provide the most ideal external assistance for disabled centenarians. The loss of external help given by partners may cause physically disabled centenarians fail to complete basic daily activities, which may increase the risk of death.Therefore, this study proposes the following hypothese:</p>
</statement>
</p>
<p>
<statement content-type="h3" id="H3">
<label>H3</label>
<p>Widowhood modify the associations between ADL and mortality.</p>
<p>Gaining insights into this relationship will help inform corresponding policies and strategies to support the health of centenarians. Therefore, this study, based on the China Hainan Centenarian Cohort Study (CHCCS) (<xref ref-type="bibr" rid="B19">He et al., 2018</xref>), aims to investigate the impact of physical disability and widowhood on the survival of centenarians.</p>
</statement>
</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2-1">
<label>2.1</label>
<title>Study design and participants</title>
<p>The data analyzed in the current study were derived from the CHCCS, the world&#x2019;s largest cohort study of centenarians (<xref ref-type="bibr" rid="B19">He et al., 2018</xref>; <xref ref-type="bibr" rid="B18">He et al., 2017</xref>). The Civil Affairs Department of Hainan Province, China, provided a total of 1811 centenarians (age &#x2265;100&#xa0;years) as of 30 June 2014. At the conclusion of the investigation, 1473 centenarians were contactable, 268 had died, and 203 refused participation. Ultimately, 1002 centenarians participated in the CHCCS study. For this analysis, individuals who were never married or had incomplete baseline data were excluded, leaving 787 centenarians for the final analysis. (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flowchart of participant selection. </p>
</caption>
<graphic xlink:href="fragi-07-1764198-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating participant selection: 1,811 candidates identified, 809 excluded for being unreachable, refusing, or deceased; 1,002 included, with 215 further excluded for never marrying or incomplete data, resulting in 787 eligible participants.</alt-text>
</graphic>
</fig>
<p>Written informed consent was obtained from all participants before their inclusion in the study. This study was approved by the Ethics Committee of Hainan Hospital of PLA General Hospital (Sanya, Hainan; approval No. 301HNLL-2016-01).</p>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Interview</title>
<p>Before the survey, a questionnaire for centenarians was designed in advance. Uniformly trained investigators conducted one-on-one interviews with the centenarians or their guardians and recorded the responses. The survey covered general demographic information, daily habits, disease history, and assessments of physical and cognitive function, among other topics. Dates of birth were checked to verify the registered age against the chronological age. Participants with no formal education were classified as Uneducated, while those with any formal education were classified as Educated. Smoking status was categorized as Yes for current or past daily smoking, and No for occasionally or no smoking. Drinking status was similarly categorized as Yes for current or past daily drinking, and No for occasional or no drinking.</p>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Anthropometric measurements</title>
<p>Blood pressure was measured twice within a 15-min interval using an electronic sphygmomanometer, while the participant was in a quiet state in the morning. The systolic blood pressure (SBP) and diastolic blood pressure (DBP) were recorded as the average of the two measurements.</p>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>Laboratory tests</title>
<p>Fasting venous blood samples (5&#xa0;mL) were collected by skilled nurses 15&#xa0;min after the participants woke up in the morning and temporarily stored at 4&#xa0;&#xb0;C. The samples were tested at the Central Laboratory of our hospital for the following parameters: fasting blood glucose (FBG), total cholesterol (TC), and triglyceride (TG).</p>
</sec>
<sec id="s2-5">
<label>2.5</label>
<title>Cognitive function</title>
<p>Cognitive function was assessed using the Mini-Mental State Examination (MMSE) (<xref ref-type="bibr" rid="B5">Carpinelli Mazzi et al., 2020</xref>).The MMSE evaluates orientation in time, space and place, as well as delayed memory, immediate memory, language, attention, and calculation. The total MMSE score is the MMSE score was used as an indicator of cognitive function, with higher scores reflecting better cognitive performance.</p>
</sec>
<sec id="s2-6">
<label>2.6</label>
<title>Physical function</title>
<p>Physical function was assessed using the Barthel scale, represented by the ADL score (<xref ref-type="bibr" rid="B43">Wade and Collin, 1988</xref>). This scale evaluates the ability of the participants to independently perform 10 essential daily activities, including grooming, bathing, dressing, eating, and others. The total score is the ADL score, with a maximum possible score of 100. A score of 90&#x2013;100 was classified as physically normal, a score below 90 as partially disabled, and a score below 60 as disabled.</p>
</sec>
<sec id="s2-7">
<label>2.7</label>
<title>Outcome definition</title>
<p>The date of the first investigation marked the beginning of the follow-up. The endpoint of the study was either the death of the centenarians or the date of 30 June 2021. Death dates were collected annually from the Civil Affairs Department of Hainan Province and were further verified by contacting the centenarians&#x2019; family members or guardians by telephone or home visits. The time interval between investigation and death was survival time, and was documented and analyzed in months.</p>
</sec>
<sec id="s2-8">
<label>2.8</label>
<title>Statistics analysis and model building</title>
<p>Data were processed using IBM SPSS Statistics v25.0 and R v4.1.3 software. Continuous variables with a normal distribution were expressed as means (standard deviation), and group comparisons were performed using the independent two-sample student t-test. Continuous variables with skewed distributions were presented as median (interquartile range), and inter-group comparisons were conducted using the non-parametric Mann-Whitney U rank sum test. Categorical data were expressed as frequencies (n, %), and the chi-square test was used for group comparison.</p>
<p>Univariate and multivariate Cox proportional hazard regression model was applied to identify factors influencing centenarian survival. Progressively adjusted covariates: Model 1 adjusted for no covariate; Model 2 adjusted for age and gender; Model 3 adjusted for age, gender, maritial status, residential type, No. of children, No. of diagnoses and MMSE. Furthermore, marital status was stratified to examine the impact of ADL on survival. Kaplan-Meier survival curves were generated, and differences between the curves were compared using the Log-rank test. The scatter plots of Schoenfeld residuals versus time and the Lowess smooth curves were drawed. Visualized inspecting of the Schoenfeld residuals over the time metric and the direction of the Lowess smooth curves were used to test the proportional hazards assumption in the Cox proportional hazards models. All tests were two-tailed, and a significance level &#x3b1; &#x3d; 0.05 was used.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec id="s3-1">
<label>3.1</label>
<title>Baseline characteristic of centenarians</title>
<p>A total of 787 centenarians were eligible for the final analysis. By the end of the follow-up period, 405 centenarians had died, resulting in a mortality rate of 51.46% (<xref ref-type="table" rid="T1">Table 1</xref>). Survivors were more likely to live alone (16.75% vs. 10.86%, <italic>p</italic> &#x3d; 0.013). In addition, non-survivors had lower ADL scores compared to survivors [80 (55, 95) vs. 90 (65, 95), <italic>p</italic> &#x3d; 0.001]. There were no statistical differences between groups in terms of age, gender, education, ethnicity, marital status, residential type, smoking, drinking, number of children, number of diagnoses, SBP, DBP, fasting blood glucose, total cholesterol, triglycerides or MMSE scores.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Profiles of centenarians grouped by survival status.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Variables</th>
<th align="center">All (n &#x3d; 787)</th>
<th align="center">Survivors (n &#x3d; 382, 48.5%)</th>
<th align="center">Non-survivors (n &#x3d; 405, 51.8%)</th>
<th align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Survival time, mean (SD), month</td>
<td align="center">54 (15, 60)</td>
<td align="center">60 (56, 71)</td>
<td align="center">16 (5, 31)</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="left">Age, mean (SD), year</td>
<td align="center">102 (101, 104)</td>
<td align="center">102 (101, 104)</td>
<td align="center">102 (101, 104)</td>
<td align="center">0.852</td>
</tr>
<tr>
<td align="left">Gender</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.322</td>
</tr>
<tr>
<td align="right">Male</td>
<td align="center">145 (18.4%)</td>
<td align="center">65 (17.0%)</td>
<td align="center">80 (19.8%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">Female</td>
<td align="center">642 (81.6%)</td>
<td align="center">317 (83.0%)</td>
<td align="center">325 (80.2%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Education</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.487</td>
</tr>
<tr>
<td align="right">Educated</td>
<td align="center">61 (7.8%)</td>
<td align="center">27 (7.1%)</td>
<td align="center">34 (8.4%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">Uneducated</td>
<td align="center">726 (92.2%)</td>
<td align="center">355 (92.9%)</td>
<td align="center">371 (91.6%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Ethnicity</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.773</td>
</tr>
<tr>
<td align="right">Han</td>
<td align="center">702 (89.2%)</td>
<td align="center">342 (89.5%)</td>
<td align="center">360 (88.9%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">Minority</td>
<td align="center">85 (10.8%)</td>
<td align="center">40 (10.5%)</td>
<td align="center">45 (11.1%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Marital status</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.771</td>
</tr>
<tr>
<td align="right">Non-widowed</td>
<td align="center">88 (11.2%)</td>
<td align="center">44 (11.5%)</td>
<td align="center">44 (10.9%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">Widowed</td>
<td align="center">699 (88.8%)</td>
<td align="center">338 (88.5%)</td>
<td align="center">361 (89.1%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Residential type</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.013</td>
</tr>
<tr>
<td align="right">With family</td>
<td align="center">670 (85.1%)</td>
<td align="center">311 (81.4%)</td>
<td align="center">359 (88.6%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">Live alone</td>
<td align="center">108 (13.7%)</td>
<td align="center">64 (16.8%)</td>
<td align="center">44 (10.9%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Smoke</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.168</td>
</tr>
<tr>
<td align="right">Yes</td>
<td align="center">69 (8.8%)</td>
<td align="center">29 (7.6%)</td>
<td align="center">40 (9.9%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">No</td>
<td align="center">668 (84.9%)</td>
<td align="center">339 (88.7%)</td>
<td align="center">329 (81.2%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Drink</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.364</td>
</tr>
<tr>
<td align="right">Yes</td>
<td align="center">80 (10.2%)</td>
<td align="center">36 (9.4%)</td>
<td align="center">44 (10.9%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">No</td>
<td align="center">663 (84.2%)</td>
<td align="center">334 (87.4%)</td>
<td align="center">329 (81.2%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">No. of children, medium (IQR)</td>
<td align="center">4 (3, 6)</td>
<td align="center">4 (3, 6)</td>
<td align="center">4 (3, 6)</td>
<td align="center">0.925</td>
</tr>
<tr>
<td align="left">No. of chronic diseases, medium (IQR)</td>
<td align="center">1 (0, 2)</td>
<td align="center">1 (0, 2)</td>
<td align="center">1 (0, 2)</td>
<td align="center">0.501</td>
</tr>
<tr>
<td align="left">SBP, mean (SD), mmHg</td>
<td align="center">151.56 (24.95)</td>
<td align="center">151.61 (24.42)</td>
<td align="center">151.51 (25.50)</td>
<td align="center">0.956</td>
</tr>
<tr>
<td align="left">DBP, mean (SD), mmHg</td>
<td align="center">75.12 (13.03)</td>
<td align="center">74.66 (12.25)</td>
<td align="center">75.57 (13.76)</td>
<td align="center">0.336</td>
</tr>
<tr>
<td align="left">Fasting blood glucose, mean (SD), mmol/L</td>
<td align="center">5.15 (1.47)</td>
<td align="center">5.19 (1.43)</td>
<td align="center">5.11 (1.50)</td>
<td align="center">0.502</td>
</tr>
<tr>
<td align="left">Total cholesterol, mean (SD), mmol/L</td>
<td align="center">4.68 (1.04)</td>
<td align="center">4.71 (1.01)</td>
<td align="center">4.65 (1.07)</td>
<td align="center">0.401</td>
</tr>
<tr>
<td align="left">Triglyceride, mean (SD), mmol/L</td>
<td align="center">1.18 (0.62)</td>
<td align="center">1.21 (0.68)</td>
<td align="center">1.15 (0.56)</td>
<td align="center">0.180</td>
</tr>
<tr>
<td align="left">MMSE</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.671</td>
</tr>
<tr>
<td align="right">&#x2264;9</td>
<td align="center">320 (40.7%)</td>
<td align="center">154 (40.3%)</td>
<td align="center">166 (41.0%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">10&#x2013;20</td>
<td align="center">203 (25.8%)</td>
<td align="center">101 (26.4%)</td>
<td align="center">102 (25.2%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">&#x2265;21</td>
<td align="center">47 (6.0%)</td>
<td align="center">20 (5.2%)</td>
<td align="center">27 (6.7%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">ADL score, medium (IQR)</td>
<td align="center">85 (60, 95)</td>
<td align="center">90 (65, 95)</td>
<td align="center">80 (55, 95)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">ADL</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.002</td>
</tr>
<tr>
<td align="right">60&#x3c;</td>
<td align="center">176 (22.4%)</td>
<td align="center">69 (18.1%)</td>
<td align="center">107 (26.4%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">60&#x2013;89</td>
<td align="center">235 (29.9%)</td>
<td align="center">107 (28.0%)</td>
<td align="center">128 (31.6%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">&#x2265;90</td>
<td align="center">347 (44.1%)</td>
<td align="center">190 (49.7%)</td>
<td align="center">157 (38.8%)</td>
<td align="left">&#x200b;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Relationship between ADL and survival</title>
<p>Univariate and multivariate survival analyses adjusted for possible confounder variates of centenarians (<xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="fig" rid="F2">Figure 2A</xref>) revealed that ADL was a predictor of all-cause mortality in centenarians. A hazard ratio of 1.933 (95% CI: 1.411&#x2013;2.648, <italic>p</italic> &#x3c; 0.001) was found for those with ADL&#x3c;60, while those with 60&#x2264;ADL&#x3c;90 had a HR of1.438 (95% CI: 1.084&#x2013;1.907, <italic>p</italic> &#x3d; 0.012) when compared to centenarians with ADL&#x2265;90. The Lowess smooth curve was basically a horizontal straight line, suggesting that the above proportional hazards assumption was tenable (<xref ref-type="sec" rid="s13">Supplementary Figure S1</xref>). Kaplan-Meier survival curves indicated that there was no difference between the two maritial status groups (<xref ref-type="fig" rid="F2">Figure 2B</xref>).Therefore, the hypothese <xref ref-type="statement" rid="H1">H1</xref> was supported, while <xref ref-type="statement" rid="H2">H2</xref> was rejected.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Cox proportional hazard model for predictors of survival among centenarians.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Models</th>
<th align="center">ADL</th>
<th align="center">HR (95% CI)</th>
<th align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="center">Model 1</td>
<td align="center">60&#x3c;</td>
<td align="center">1.650 (1.290&#x2013;2.110)</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="center">60&#x2013;89</td>
<td align="center">1.345 (1.065&#x2013;1.699)</td>
<td align="center">0.013</td>
</tr>
<tr>
<td align="center">&#x2265;90</td>
<td align="center">1</td>
<td align="center">-</td>
</tr>
<tr>
<td rowspan="3" align="center">Model 2</td>
<td align="center">60&#x3c;</td>
<td align="center">1.701 (1.327&#x2013;2.180)</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="center">60&#x2013;89</td>
<td align="center">1.389 (1.097&#x2013;1.758)</td>
<td align="center">0.006</td>
</tr>
<tr>
<td align="center">&#x2265;90</td>
<td align="center">1</td>
<td align="center">-</td>
</tr>
<tr>
<td rowspan="3" align="center">Model 3</td>
<td align="center">60&#x3c;</td>
<td align="center">1.933 (1.411&#x2013;2.648)</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="center">60&#x2013;89</td>
<td align="center">1.438 (1.084&#x2013;1.907)</td>
<td align="center">0.012</td>
</tr>
<tr>
<td align="center">&#x2265;90</td>
<td align="center">1</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Model 1: Un-adjusted.</p>
</fn>
<fn>
<p>Model 2: Adjusted for age and gender.</p>
</fn>
<fn>
<p>Model 3: Adjusted for age, gender, maritial status, residential type, No. of children, No. of diagnoses and MMSE.</p>
</fn>
<fn>
<p>- Indicates no data.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Kaplan-Meier survival curves and life tables stratified by ADL <bold>(A)</bold> and marital status <bold>(B)</bold>. The Log-rank test for the two predictors yielded <italic>p</italic> &#x3c; 0.001 and <italic>p</italic> &#x3d; 0.703, respectively.</p>
</caption>
<graphic xlink:href="fragi-07-1764198-g002.tif">
<alt-text content-type="machine-generated">Two Kaplan-Meier survival curves are shown. Panel A compares cumulative survival for three ADL (activities of daily living) score groups, showing significant differences (P&#x3C;0.001). Panel B compares survival between non-widowed and widowed groups, with no significant difference (P=0.703). Tables below each plot list the number at risk for each group at various follow-up times in months.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Baseline characteristic of centenarians by marital status</title>
<p>Of the 787 centenarians, 699 (88.82%) were widowed (<xref ref-type="table" rid="T3">Table 3</xref>). Among the non-widowed centenarians, the proportion of males (42.05% vs. 15.45%), those with formal education (20.45% vs. 6.15), smokers (20.45% vs. 7.30), drinkers (19.32% vs. 9.01%) and those with severe cognitive impairment (12.50% vs. 5.15%) was significantly higher compared to the widowed group. However, there were no statistical differences between the two groups in terms of follow-up time, survival status, age, ethnicity, residential type, number of children, number of diagnoses, SBP, DBP, FBG, TC or TG.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Profiles of centenarians grouped by marital status.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Variables</th>
<th align="center">All (n &#x3d; 787)</th>
<th align="center">Non-widowed (n &#x3d; 88, 11.2%)</th>
<th align="center">Widowed (n &#x3d; 699, 88.8%)</th>
<th align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Survival time, mean (SD), month</td>
<td align="center">54 (15, 60)</td>
<td align="center">50 (20.25, 68)</td>
<td align="center">54 (15, 60)</td>
<td align="center">0.277</td>
</tr>
<tr>
<td align="left">Survival status</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.771</td>
</tr>
<tr>
<td align="right">Survivors</td>
<td align="center">382 (48.5%)</td>
<td align="center">44 (50.0%)</td>
<td align="center">338 (48.4%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">Non-survivors</td>
<td align="center">405 (51.5%)</td>
<td align="center">44 (50.0%)</td>
<td align="center">361 (51.6%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Age, mean (SD), year</td>
<td align="center">102 (101, 104)</td>
<td align="center">102 (101, 104)</td>
<td align="center">102 (101, 104)</td>
<td align="center">0.489</td>
</tr>
<tr>
<td align="left">Gender</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="right">Male</td>
<td align="center">145 (18.4%)</td>
<td align="center">37 (42.1%)</td>
<td align="center">108 (15.4%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">Female</td>
<td align="center">642 (81.6%)</td>
<td align="center">51 (57.9%)</td>
<td align="center">591 (84.6%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Education</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="right">Educated</td>
<td align="center">61 (7.8%)</td>
<td align="center">18 (20.4%)</td>
<td align="center">43 (6.2%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">Uneducated</td>
<td align="center">726 (92.2%)</td>
<td align="center">70 (79.6%)</td>
<td align="center">656 (93.8%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Ethnicity</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.363</td>
</tr>
<tr>
<td align="right">Han</td>
<td align="center">702 (89.2%)</td>
<td align="center">76 (86.4%)</td>
<td align="center">626 (89.6%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">Minority</td>
<td align="center">85 (10.8%)</td>
<td align="center">12 (13.6%)</td>
<td align="center">73 (10.4%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Residential type</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.180</td>
</tr>
<tr>
<td align="right">With family</td>
<td align="center">670 (85.1%)</td>
<td align="center">79 (89.8%)</td>
<td align="center">591 (84.5%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">Live alone</td>
<td align="center">108 (14.9%)</td>
<td align="center">8 (10.2%)</td>
<td align="center">100 (14.3%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Smoke</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="right">Yes</td>
<td align="center">69 (8.8%)</td>
<td align="center">18 (20.4%)</td>
<td align="center">51 (7.3%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">No</td>
<td align="center">668 (91.2%)</td>
<td align="center">64 (72.7%)</td>
<td align="center">604 (86.4%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Drink</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.003</td>
</tr>
<tr>
<td align="right">Yes</td>
<td align="center">80 (10.2%)</td>
<td align="center">17 (19.3%)</td>
<td align="center">63 (9.0%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">No</td>
<td align="center">663 (84.2%)</td>
<td align="center">67 (76.1%)</td>
<td align="center">596 (85.3%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">No. of children, medium (IQR)</td>
<td align="center">4 (3, 6)</td>
<td align="center">5 (3, 7)</td>
<td align="center">4 (3, 6)</td>
<td align="center">0.054</td>
</tr>
<tr>
<td align="left">No. of chronic diseases, medium (IQR)</td>
<td align="center">1 (0, 2)</td>
<td align="center">1 (0, 1)</td>
<td align="center">1 (0, 2)</td>
<td align="center">0.150</td>
</tr>
<tr>
<td align="left">SBP, mean (SD), mmHg</td>
<td align="center">151.56 (24.95)</td>
<td align="center">148.45 (22.01)</td>
<td align="center">151.95 (25.29)</td>
<td align="center">0.226</td>
</tr>
<tr>
<td align="left">DBP, mean (SD), mmHg</td>
<td align="center">75.12 (13.03)</td>
<td align="center">73.64 (12.43)</td>
<td align="center">75.31 (13.10)</td>
<td align="center">0.270</td>
</tr>
<tr>
<td align="left">Fasting blood glucose, mean (SD), mmol/L</td>
<td align="center">5.15 (1.47)</td>
<td align="center">5.37 (1.72)</td>
<td align="center">5.12 (1.43)</td>
<td align="center">0.226</td>
</tr>
<tr>
<td align="left">Total cholesterol, mean (SD), mmol/L</td>
<td align="center">4.68 (1.04)</td>
<td align="center">4.66 (1.06)</td>
<td align="center">4.68 (1.03)</td>
<td align="center">0.832</td>
</tr>
<tr>
<td align="left">Triglyceride, mean (SD), mmol/L</td>
<td align="center">1.18 (0.62)</td>
<td align="center">1.12 (0.56)</td>
<td align="center">1.18 (0.63)</td>
<td align="center">0.350</td>
</tr>
<tr>
<td align="left">MMSE</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.004</td>
</tr>
<tr>
<td align="right">&#x2264;9</td>
<td align="center">320 (40.7%)</td>
<td align="center">28 (31.8%)</td>
<td align="center">292 (41.8%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">10&#x2013;20</td>
<td align="center">203 (25.8%)</td>
<td align="center">32 (36.4%)</td>
<td align="center">272 (38.9%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">&#x2265;21</td>
<td align="center">47 (6.0%)</td>
<td align="center">11 (12.5%)</td>
<td align="center">36 (5.2%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">ADL score, medium (IQR)</td>
<td align="center">85 (60, 95)</td>
<td align="center">85 (60, 95)</td>
<td align="center">85 (60, 95)</td>
<td align="center">0.981</td>
</tr>
<tr>
<td align="left">ADL</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">0.808</td>
</tr>
<tr>
<td align="right">60&#x3c;</td>
<td align="center">176 (22.4%)</td>
<td align="center">18 (20.5%)</td>
<td align="center">158 (22.6%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">60&#x2013;89</td>
<td align="center">235 (29.9%)</td>
<td align="center">28 (31.8%)</td>
<td align="center">207 (29.6%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="right">&#x2265;90</td>
<td align="center">347 (44.1%)</td>
<td align="center">36 (40.9%)</td>
<td align="center">311 (44.5%)</td>
<td align="left">&#x200b;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-4">
<label>3.4</label>
<title>Predictors of survival by marital status</title>
<p>We stratified all centenarians into two marital groups for Cox proportional hazard regression analyses. The results revealed that ADL was significantly associated with survival in widowed centenarians (for ADL&#x3c;60 vs. ADL&#x2265;90, HR &#x3d; 2.020, 95% CI: 1.450&#x2013;2.814, <italic>p</italic> &#x3c; 0.001; for 60&#x2264;ADL&#x3c;90 vs. ADL&#x2265;90, HR &#x3d; 1.493, 95% CI: 1.108&#x2013;2.011, <italic>p</italic> &#x3d; 0.008), but not in non-widowed centenarians (all <italic>p</italic> &#x3e; 0.05) across Model 1, Model 2 and Model 3. (<xref ref-type="table" rid="T4">Table 4</xref>; <xref ref-type="fig" rid="F3">Figure 3</xref>). There was a decreasing trend in the HR within the ADL subgroups of widowed centenarians (all <italic>p</italic> &#x3e; 0.05). The Lowess smooth curves were basically a horizontal straight line, suggesting that the above proportional hazards assumption were tenable (<xref ref-type="sec" rid="s13">Supplementary Figures S2, S3</xref>). Therefore, the hypothese <xref ref-type="statement" rid="H3">H3</xref> was supported.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Cox proportional hazard model for physical function of survival with different marital status.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Models</th>
<th rowspan="2" align="center">ADL</th>
<th colspan="3" align="center">Non-widowed</th>
<th colspan="3" align="center">Widowed</th>
</tr>
<tr>
<th align="center">HR (95% CI)</th>
<th align="center">
<italic>p</italic>
</th>
<th align="center">
<italic>p</italic> for trend</th>
<th align="center">HR (95% CI)</th>
<th align="center">
<italic>p</italic>
</th>
<th align="center">
<italic>p</italic> for trend</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">Model 1</td>
<td align="center">60&#x3c;</td>
<td align="center">1.546 (0.693&#x2013;3.446)</td>
<td align="center">0.287</td>
<td align="left">&#x200b;</td>
<td align="center">1.662 (1.283&#x2013;2.152)</td>
<td align="center">0.000</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="center">60&#x2013;89</td>
<td align="center">1.497 (0.731&#x2013;3.067)</td>
<td align="center">0.270</td>
<td align="left">&#x200b;</td>
<td align="center">1.330 (1.039&#x2013;1.703)</td>
<td align="center">0.024</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x2265;90</td>
<td align="center">1</td>
<td align="center">-</td>
<td align="center">0.444</td>
<td align="center">1</td>
<td align="center">-</td>
<td align="center">0.000</td>
</tr>
<tr>
<td rowspan="3" align="left">Model 2</td>
<td align="center">60&#x3c;</td>
<td align="center">1.841 (0.773&#x2013;4.385)</td>
<td align="center">0.168</td>
<td align="left">&#x200b;</td>
<td align="center">1.694 (1.307&#x2013;2.197)</td>
<td align="center">0.000</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="center">60&#x2013;89</td>
<td align="center">1.610 (0.779&#x2013;3.014)</td>
<td align="center">0.198</td>
<td align="left">&#x200b;</td>
<td align="center">1.373 (1.069&#x2013;1.762)</td>
<td align="center">0.013</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x2265;90</td>
<td align="center">1</td>
<td align="center">-</td>
<td align="center">0.296</td>
<td align="center">1</td>
<td align="center">-</td>
<td align="center">0.000</td>
</tr>
<tr>
<td rowspan="3" align="left">Model 3</td>
<td align="center">60&#x3c;</td>
<td align="center">1.641 (0.528&#x2013;5.098)</td>
<td align="center">0.392</td>
<td align="left">&#x200b;</td>
<td align="center">2.020 (1.450&#x2013;2.814)</td>
<td align="center">0.000</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="center">60&#x2013;89</td>
<td align="center">0.879 (0.359&#x2013;2.151)</td>
<td align="center">0.778</td>
<td align="left">&#x200b;</td>
<td align="center">1.493 (1.108&#x2013;2.011)</td>
<td align="center">0.008</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x2265;90</td>
<td align="center">1</td>
<td align="center">-</td>
<td align="center">0.568</td>
<td align="center">1</td>
<td align="center">-</td>
<td align="center">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Model 1: Un-adjusted.</p>
</fn>
<fn>
<p>Model 2: Adjusted for age and gender.</p>
</fn>
<fn>
<p>Model 3: Adjusted for age, gender, residential type, No. of children, No. of diagnoses and MMSE.</p>
</fn>
<fn>
<p>- Indicates no data.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Kaplan-Meier survival curve and life table of widowed cantenarians. The Log-rank test was <italic>p</italic> &#x3c; 0.001.</p>
</caption>
<graphic xlink:href="fragi-07-1764198-g003.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curve compares cumulative survival over eighty-four months among three groups based on ADL scores: less than sixty (red), sixty to eighty-nine (blue), and ninety or more (green). Higher ADL levels show increased survival. P-value is less than zero point zero zero one, with numbers at risk listed by interval.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<p>Physiologically, as individuals age, they experience a range of challenges, including physical decline, the development of chronic diseases and social changes, such as children leaving home and the death of a spouse, along with reduced social engagement (<xref ref-type="bibr" rid="B37">Sheftel et al., 2024</xref>; <xref ref-type="bibr" rid="B2">Beard et al., 2016</xref>; <xref ref-type="bibr" rid="B12">Christensen et al., 2009</xref>). These issues significantly diminish the quality of life, leading to an increase in nursing and medical costs, especially for centenarians (<xref ref-type="bibr" rid="B34">Rozzini, 2016</xref>). These factors ultimately influence the expected survival time of the elderly (<xref ref-type="bibr" rid="B10">Cheng et al., 2020</xref>). Even more concerning is the cumulative effect of these adverse factors, which can accumulate either individually or in combination over time (<xref ref-type="bibr" rid="B53">Zhao et al., 2020</xref>; <xref ref-type="bibr" rid="B47">Xu and Yang, 2022</xref>).</p>
<p>The physiological capacity of the elderly declines progressively with age, or more rapidly due to diseases, accidents or other factors, resulting in disability or semi-disability of the elderly (<xref ref-type="bibr" rid="B39">Strax et al., 2010</xref>). The disability rate increases monotonously with age, meaning that as individuals grow older, the risk of becoming disabled rises (<xref ref-type="bibr" rid="B24">Lamarca et al., 2003</xref>; <xref ref-type="bibr" rid="B9">Chen et al., 2018</xref>). However, the age-related decline in ADL scores is well-documented (<xref ref-type="bibr" rid="B6">Chaoping et al., 2023</xref>). For example, the prevalence of disability has been reported to be 19% (95% CI: 17.8%&#x2013;20.2%) in individuals over 60&#xa0;years of age, and 36.85% of Europeans aged 71&#x2013;80&#xa0;years exhibit ADL impairment (<xref ref-type="bibr" rid="B22">Jitapunkul et al., 2003</xref>; <xref ref-type="bibr" rid="B15">&#x106;wirlej-Soza&#x144;ska et al., 2018</xref>). According to the European Health Survey (<xref ref-type="bibr" rid="B4">Carmona-Torres et al., 2019</xref>), the prevalence of ADL impairment in those aged 85&#xa0;years and older was 34%. In this study, the rate of disabled and semi-disabled centenarians was found to be 52.22%, significantly higher than in younger populations. These findings were consistent with those from the Danish 1895-West and 1915-West Birth Cohort Studies (1895-West vs. 1905-West: 53% vs. 50%) (<xref ref-type="bibr" rid="B30">Rasmussen et al., 2018</xref>). For centenarians, the compression of disability and morbidity toward the end of life is characteristic of their longevity (<xref ref-type="bibr" rid="B41">Terry et al., 2008</xref>).</p>
<p>Disability is well-known predictor of death, and disability in the elderly is often irreversible (<xref ref-type="bibr" rid="B35">Rupp and Dushi, 2017</xref>; <xref ref-type="bibr" rid="B23">Kuper et al., 2024</xref>). Not only does disability caused by diseases accelerate the death process, but the physiological disability also negatively impacts life expectancy and survival rates (<xref ref-type="bibr" rid="B42">Thomas and Barnes, 2010</xref>). A study (<xref ref-type="bibr" rid="B46">Wu et al., 2016</xref>) based on the National Health and Nutrition Examination Survey (NHANES) showed that disability increases all-cause mortality in older adults 60&#x2013;84&#xa0;years of age. Furthermore, physical activity was identified as a risk predictor of death for community-dwelling residents aged 75&#x2013;83&#xa0;years old (Male: HR &#x3d; 1.65, 95% CI: 1.27&#x2013;2.14; Female: HR &#x3d; 1.77, 95% CI: 1.42&#x2013;2.19) (<xref ref-type="bibr" rid="B36">Schultz-Larsen et al., 2012</xref>). A survey of older adults aged over 65&#xa0;years in Taiwan revealed that 93% of older adults showed no ADL impairment 10&#xa0;years before death (<xref ref-type="bibr" rid="B11">Chiu et al., 2021</xref>). However, as death approached, the prevalence of ADL impairments increased, with an average of 10% participants showing more than three ADL abnormalities 6&#xa0;years before death, and moderate to severe disability affecting 38% of individuals in the year before death. The loss of physical activity, as demonstrated in this study, was associated with the mortality in centenarians. Additionally, a linear relationship was observed between physical function loss and mortality in centenarians.</p>
<p>The proportion of elderly individuals who are widowed increases with age. Among individuals aged 65 and older, 13% of men and 40% of women are widowed. This rate rises to 57% for those over 75&#xa0;years old (<xref ref-type="bibr" rid="B40">Sundstr&#xf6;m et al., 2014</xref>). In this study, the proportion of centenarians without a partner reached 88.82%. Health deficits associated with bereavement may manifest earlier during the marital transition than previously anticipated, highlighting the need for attention to the health of older adults whose spouses are suffering chronic or life-limiting illness (<xref ref-type="bibr" rid="B45">Williams et al., 2008</xref>). The Longitudinal Study of Aging (1984&#x2013;1990) revealed that marital status was associated with the health and survival of the elderly, with widowed men at higher risk of disability compared to non-widowed individuals (<xref ref-type="bibr" rid="B17">Goldman et al., 1982</xref>). Additionally, a health survey (<xref ref-type="bibr" rid="B1">Barrenetxea et al., 2023</xref>) conducted with 15,858 Singaporean Chinese aged 61&#x2013;96 showed that widowed adults had a higher risk of death, a phenomenon often referred to as the Widowhood Effect (<xref ref-type="bibr" rid="B54">Zhu et al., 2022</xref>; <xref ref-type="bibr" rid="B16">Ennis and Majid, 2021</xref>). However, the preliminary analysis of this study found that marital status alone did not affect the mortality of centenarians.</p>
<p>Further stratified analysis found that the loss of physical capacity was not associated with mortality among non-widowed centenarians, which may be due to the limited simple size. On the other hand, physical disability was associated with high mortility among widowed centenarians. The reasons behind this phenomenon are multifactorial, encompassing changes in biological, social, and psychological factors (<xref ref-type="bibr" rid="B31">Robards et al., 2012</xref>; <xref ref-type="bibr" rid="B13">Cornwell and Qu, 2024</xref>). For the elderly, widowhood often results in living alone, which is a known risk factor for mental health issues and can increase the likelihood of death (<xref ref-type="bibr" rid="B49">Yang and Gu, 2021</xref>; <xref ref-type="bibr" rid="B8">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="B38">Srivastava et al., 2021</xref>). Emotional support during the first 6&#xa0;months after the loss of a spouse has been shown to improve survival rates (<xref ref-type="bibr" rid="B29">Penninx et al., 1997</xref>). Results from the Midlife in the United States cross-sectional survey (<xref ref-type="bibr" rid="B51">Yuan et al., 2024</xref>) showed that the greatest improvement in physical function occurred during the transition from widowhood to non-widowhood. This underscores the vital role that marriage, as a fundamental form of social support, plays in the health of the elderly (<xref ref-type="bibr" rid="B33">Rodin et al., 2024</xref>). After eliminated the influence of confounding factors such as living arrangements (living with or without family members), the possiblility of external help (number of children), and the possiblility of cognitive impairment (MMSE) on survival analysis, the above results were still valid. For some centenarians with poor economic conditions, the loss of spouse means that they will not be able to handle basic daily activities. Despite external supports given by their children, guardians or caregivers, some centenarians tend to be more adaptive to the care and companionship mode of their partners (<xref ref-type="bibr" rid="B25">Lau et al., 2024</xref>).</p>
<p>This study has several limitations. Firstly, the CHCCS cohort is based exclusively on centenarians from Hainan Island, China, which is geographically isolated from other regions. As a result, the findings may not fully represent the real situation in other regions. Secondly, due to the extended duration of one-by-one surveys, some centenarians had passed away before the survey was completed. It is possible that these deceased centenarians had poor ADL scores, which could affect the accuracy of the ADL, mortality, and survival data. Thirdly, excluded participants with missing baseline data may limit generalizability, and introduce bias to the analysis. Lastly, centenarians prone to make female survival, so potential gender differences in centenarians may bias or dilute the estimated associations. Future research should focus on the influence of gender differences on survival.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<label>5</label>
<title>Conclusion</title>
<p>This study suggested that physically disabiled centenarians exhibited the highest mortility, while physically healthy centenarians demonstrated the highest survival rate. Further survival analysis revealed that physical disability and widowhood were both predictive factors influencing the survival of centenarians. Our findings suggest that, when a centenarian was physically disabled, or lost a spouse, caregivers and social workers should prioritize the needs of the vulnerable centenarians, implementing targeted interventions to improve their quality of life.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s13">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The Ethics Committee of Hainan Hospital of PLA General Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>SH: Formal Analysis, Writing &#x2013; original draft, Methodology, Conceptualization. DZ: Data curation, Methodology, Investigation, Writing &#x2013; original draft. JW: Investigation, Writing &#x2013; original draft, Data curation. MS: Funding acquisition, Writing &#x2013; review and editing, Project administration, Supervision. FH: Project administration, Supervision, Writing &#x2013; review and editing.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>The authors would like to express their sincere gratitude to all the colleagues who participated in the survey of CHCCS and all centenarians and their guardians for their participant in the CHCCS survey.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="s11">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<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="s13">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fragi.2026.1764198/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fragi.2026.1764198/full&#x23;supplementary-material</ext-link>
</p>
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<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1887700/overview">Wiktoria Sta&#x15b;kiewicz-Bartecka</ext-link>, Medical University of Silesia, Poland</p>
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<fn fn-type="custom" custom-type="reviewed-by">
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<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2940917/overview">Zhengting He</ext-link>, Johns Hopkins University, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3264100/overview">Xinyu Zhang</ext-link>, Osaka University, Japan</p>
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