{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T16:41:33Z","timestamp":1776184893422,"version":"3.50.1"},"reference-count":23,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T00:00:00Z","timestamp":1728259200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Traditional metrics such as body mass index (BMI) and waist circumference (WC) fail to accurately assess the health outcomes associated with abdominal adiposity, because they neglect the intricacies of adipose tissue distribution. Notably, the variability in body composition scaled to height remains underexplored in Chinese demographics. This study introduces height\u2010normalised indices of abdominal adiposity using computed tomography (CT) scans and further assesses their associations with various health outcomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In a large, diverse Chinese population (<jats:italic>n<\/jats:italic>\u2009=\u20091054 healthy individuals; <jats:italic>n<\/jats:italic>\u2009=\u20091159 with dyslipidemia; <jats:italic>n<\/jats:italic>\u2009=\u2009803 with diabetes; <jats:italic>n<\/jats:italic>\u2009=\u20091289 with cardio\u2010cerebrovascular diseases; <jats:italic>n<\/jats:italic>\u2009=\u20091108 with cancers; and <jats:italic>n<\/jats:italic>\u2009=\u2009509 with abnormal bone mas), abdominal CT scans were performed and allometric growth model analyses were used to derive height\u2010normalised indices (body composition\/height<jats:sup><jats:italic>\u03b2<\/jats:italic><\/jats:sup>). Logistic regression models assessed the associations between these indices and health outcomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Distinct scaling powers were observed for visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and total abdominal adipose tissue (TAT), as well as for sagittal diameter (SAD), with marked sex differences. Powers for VAT were 1.786\u2009\u00b1\u20091.270 for males and 1.274\u2009\u00b1\u20090.692 for females. Powers for SAT were 2.266\u2009\u00b1\u20090.856 for males and 1.656\u2009\u00b1\u20090.497 for females. Powers for TAT were 2.141\u2009\u00b1\u20090.967 for males and 1.438\u2009\u00b1\u20090.489 for females. Powers for SAD were 0.646\u2009\u00b1\u20090.217 for males and 0.678\u2009\u00b1\u20090.141 for females. After controlling for age, BMI and WC, VAT\/height<jats:sup><jats:italic>\u03b2<\/jats:italic><\/jats:sup>, TAT\/height<jats:sup><jats:italic>\u03b2<\/jats:italic><\/jats:sup> and SAD\/height<jats:sup><jats:italic>\u03b2<\/jats:italic><\/jats:sup> retained their significantly positive associations with the odds of health outcomes, whereas SAT\/height<jats:sup><jats:italic>\u03b2<\/jats:italic><\/jats:sup> did not.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our findings endorse the clinical utility of height\u2010normalised indices, particularly VAT\/height<jats:sup><jats:italic>\u03b2<\/jats:italic><\/jats:sup>, TAT\/height<jats:sup><jats:italic>\u03b2<\/jats:italic><\/jats:sup> and SAD\/height<jats:sup><jats:italic>\u03b2<\/jats:italic><\/jats:sup>, in health outcomes assessment. These indices, grounded in robust empirical data, underscore the necessity of a nuanced approach in obesity\u2010related health evaluations, advocating for a departure from conventional methods like BMI.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcsm.13609","type":"journal-article","created":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T02:19:27Z","timestamp":1728353967000},"page":"2651-2659","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Evaluation of Health Associations With Height\u2010Normalised Abdominal Body Composition Indices: A Single\u2010Centre Cross\u2010Sectional Study"],"prefix":"10.1002","volume":"15","author":[{"given":"Yupeng","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Preventive Medicine, School of Public Health and Management Wenzhou Medical University  Wenzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hangqian","family":"He","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, School of Public Health and Management Wenzhou Medical University  Wenzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keyu","family":"Qian","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, School of Public Health and Management Wenzhou Medical University  Wenzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yufeng","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, School of Public Health and Management Wenzhou Medical University  Wenzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuemei","family":"Ao","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, School of Public Health and Management Wenzhou Medical University  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University  Wenzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6480-1195","authenticated-orcid":false,"given":"Shuran","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, School of Public Health and Management Wenzhou Medical University  Wenzhou 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