{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T04:41:16Z","timestamp":1792384876096,"version":"4.4.0"},"reference-count":41,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:00:00Z","timestamp":1787011200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:00:00Z","timestamp":1787011200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82373669"],"award-info":[{"award-number":["82373669"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2026,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To establish age\u2010 and sex\u2010specific reference percentiles for body shape indices in Chinese adults and to develop a composite body shape index (CBSI) for age\u2010related chronic diseases screening.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>\n                      From the China National Health Survey, we recruited adults across six provinces from 2023 to 2025. Sex\u2010 and age\u2010specific percentile curves for body shape indicators were constructed using the Lambda\u2010Mu\u2010Sigma method. CBSI was derived by sex\u2010stratified exploratory factor analysis with varimax rotation, integrating adiposity, muscle function, and body proportion. Associations with chronic diseases were assessed in a training population (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200911\u2009220) and validated in an independent population (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20095745). Incremental value over BMI was evaluated by integrated discrimination improvement (IDI) and net reclassification improvement (NRI).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Body shape index trajectories differed substantially by sex. Compared with CBSI &lt;\u2009\u22120.5, CBSI &gt;\u20090.5 was associated with elevated odds of hypertension (OR 6.42, 95% CI 5.51\u20137.48), diabetes (2.76, 2.25\u20133.38), dyslipidemia (3.86, 3.37\u20134.41), hyperuricemia (5.44, 4.67\u20136.34), abnormal ECG (1.63, 1.24\u20132.13), coronary heart disease (2.31, 1.62\u20133.27), stroke (3.05, 1.95\u20134.78), chronic kidney disease (3.06, 1.79\u20135.23), and musculoskeletal disorders (1.67, 1.09\u20132.55). These associations persisted in the validation set and individuals aged &gt;\u200960\u2009years. Adding CBSI to BMI\u2010based models improved disease identification, with positive IDI and category\u2010free NRI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Age\u2010 and sex\u2010specific reference centiles for body shape indicators can reflect trajectories of body composition and muscle health across the lifespan, which facilitates sarcopenia screening. The CBSI serves as an integrated screening tool for high\u2010risk populations.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.71255","type":"journal-article","created":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T02:40:33Z","timestamp":1787107233000},"page":"10306-10317","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Comprehensive Body Shape Evaluation System With Population Reference Ranges for Improved Disease Identification: Evidence From the China National Health Survey"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2922-752X","authenticated-orcid":false,"given":"Huijing","family":"He","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Statistics Institute of Basic Medical Sciences &amp; School of Basic Medicine, Chinese Academy of Medical Sciences &amp; Peking Union Medical College  Beijing China"},{"name":"State Key Laboratory of Common Mechanism Research for Major Diseases  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyue","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Statistics Institute of Basic Medical Sciences &amp; School of Basic Medicine, Chinese Academy of Medical Sciences &amp; Peking Union Medical College  Beijing China"},{"name":"State Key Laboratory of Common Mechanism Research for Major Diseases  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiaolu","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Statistics Institute of Basic Medical Sciences &amp; School of Basic Medicine, Chinese Academy of Medical Sciences &amp; Peking Union Medical College  Beijing China"},{"name":"State Key Laboratory of Common Mechanism Research for Major Diseases  Beijing 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