{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T06:03:49Z","timestamp":1790229829941,"version":"4.1.0"},"reference-count":41,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T00:00:00Z","timestamp":1790208000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to explore the multidimensional characteristics of body composition in adults aged 65 and older, analyze the association between body composition indicators and common chronic diseases such as hypertension, dyslipidemia, and diabetes, and provide reference for rehabilitation interventions for chronic diseases in the older adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 324 older adults individuals who underwent community health screenings were enrolled as study participants. An InBody 770 body composition analyzer was used to measure body composition indicators such as skeletal muscle mass (SMM), percent body fat (PBF), visceral fat level (VFL), and percent trunk fat (PTF). Data on chronic diseases were collected, and statistical analysis was performed using SPSS 26.0.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The prevalence of hypertension, dyslipidemia and diabetes among the study participants was 62.3, 53.7 and 19.8%, respectively. Significant gender and age differences were observed in the body composition of older adults: women had higher PBF and lower SMM, while adults aged 75\u202fyears and above had lower SMM and higher PBF compared with those aged 65\u201374\u202fyears. Regression analysis showed that higher PBF and higher VFL were independently associated with higher odds of hypertension; lower SMM and higher PBF were associated with dyslipidemia; and higher PBF, lower SMM and higher PTF were independently associated with higher odds of diabetes. Stratified analysis indicated that these associations exhibited heterogeneity by gender and age: the associations of excessive body fat with chronic diseases were more prominent in women, while the associations of low SMM with dyslipidemia and diabetes were stronger in older age groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>There are significant age and gender differences in body composition among the older adults population. Elevated body fat, visceral fat accumulation and insufficient SMM are closely associated with common chronic diseases in the older adults, and these associations present population-specific variations. The findings can provide reference evidence for the precise health management and rehabilitation intervention of chronic diseases in the older adults.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1905131","type":"journal-article","created":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T05:43:59Z","timestamp":1790228639000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multidimensional characteristics of body composition in older adults and their relationship to common chronic diseases"],"prefix":"10.3389","volume":"14","author":[{"given":"Mengfan","family":"Wei","sequence":"first","affiliation":[{"name":"Department of Rehabilitation Medicine, Beijing Zhongguancun Hospital\/Zhongguancun Hospital, Chinese Academy of Sciences","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation Medicine, Beijing Zhongguancun Hospital\/Zhongguancun Hospital, Chinese Academy of Sciences","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiquan","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation Medicine, Beijing Zhongguancun Hospital\/Zhongguancun Hospital, Chinese Academy of Sciences","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,24]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"42313","DOI":"10.1038\/s41598-025-26254-z","article-title":"The influence mechanisms of living environment on the physical and mental health of Chinese older adults: a cross-sectional exploration based on CLASS 2023","volume":"15","author":"Wu","year":"2025","journal-title":"Sci Rep"},{"key":"ref2","volume-title":"National Health and Family Planning Commission of the People's Republic of China","year":"2015"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"e65","DOI":"10.1161\/CIR.0000000000001256","article-title":"Forecasting the burden of cardiovascular disease and stroke in the United States through 2050-prevalence of risk factors and disease: a presidential advisory from the American Heart Association","volume":"150","author":"Joynt Maddox","year":"2024","journal-title":"Circulation"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"79","DOI":"10.2147\/COPD.S394907","article-title":"Body composition and COPD: a new perspective","volume":"18","author":"Wang","year":"2023","journal-title":"Int J Chron Obstruct Pulmon Dis"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1159\/000505342","article-title":"OBEDIS Core variables project: European expert guidelines on a minimal core set of variables to include in randomized, controlled clinical trials of obesity interventions","volume":"13","author":"Alligier","year":"2020","journal-title":"Obes Facts"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"2163","DOI":"10.1002\/jcsm.12825","article-title":"Diagnosis of sarcopenia by evaluating skeletal muscle mass by adjusted bioimpedance analysis validated with dual-energy X-ray absorptiometry","volume":"12","author":"Cheng","year":"2021","journal-title":"J Cachexia Sarcopenia Muscle"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1186\/s12902-021-00913-4","article-title":"Gender differences in the association between sleep duration and body mass index, percentage of body fat and visceral fat area among chinese adults: a cross-sectional study","volume":"21","author":"Fan","year":"2021","journal-title":"BMC Endocr Disord"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/s40618-023-02196-z","article-title":"Obesity: a gender-view","volume":"47","author":"Muscogiuri","year":"2024","journal-title":"J Endocrinol Investig"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1186\/s40001-025-03721-x","article-title":"Mediating role of aging and obesity in the relationship between dietary index for gut microbiota and metabolic syndrome and its potential regulatory mechanisms","volume":"31","author":"Yang","year":"2025","journal-title":"Eur J Med Res"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1186\/s12933-025-02770-0","article-title":"How does biological age acceleration mediate the associations of obesity with cardiovascular disease? 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