Comparison of the Association and Predictive Ability of Anthropometric Indexes for Metabolic Syndrome in Chinese Adults

Comparison of the Association and Predictive Ability of Anthropometric Indexes for Metabolic Syndrome in Chinese Adults | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Comparison of the Association and Predictive Ability of Anthropometric Indexes for Metabolic Syndrome in Chinese Adults Tao Liu, Li Wang, Jin Cao, Jie Ming, Hongwei Cao, Qiaoyue Li, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4714743/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This research aimed to investigate the association between various anthropometric indexes and metabolic syndrome (MetS) and evaluate their predictive effectiveness for MetS. Data from the China National Diabetes and Metabolic Disorders Survey (CNDMDS) were analyzed, including 44,557 adults aged 20 years and above. Eleven anthropometric indexes were assessed for their association with the prevalence of MetS. MetS diagnosis was based on the Joint Interim Statement (JIS) criteria, and the discriminatory ability of each index was evaluated using receiver operating characteristic (ROC) curve analysis. Among Chinese adults, the crude prevalence of MetS was 29.92%. All anthropometric indexes included in the analysis were significantly and positively associated with the prevalence of MetS (all p-trend < 0.0001). ROC curve analysis indicated that, among males, WC and AVI were the most effective indexes for discriminating MetS, while in females, WC and AVI also demonstrated the highest discriminative power. In the entire population, WHtR and BRI showed higher maximal Youden index values, with AUC values both at 0.83. WHtR and BRI exhibit comparable diagnostic value in predicting MetS in the general population. Considering the simplicity of calculation and measurement, WHtR is recommended as the primary screening index for MetS. Full Text Additional Declarations No competing interests reported. Supplementary Files FigureS1AnthropometricIndexCorrelations.tif Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4714743","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":325181325,"identity":"1fc23974-75b0-4a14-9cae-5cf2e836159b","order_by":0,"name":"Tao Liu","email":"","orcid":"","institution":"Xi'an International Medical Center Hospital","correspondingAuthor":false,"prefix":"","firstName":"Tao","middleName":"","lastName":"Liu","suffix":""},{"id":325181326,"identity":"949e78f2-5256-41c6-86d8-306740d7db78","order_by":1,"name":"Li Wang","email":"","orcid":"","institution":"Xi'an International Medical Center 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Data from the China National Diabetes and Metabolic Disorders Survey (CNDMDS) were analyzed, including 44,557 adults aged 20 years and above. Eleven anthropometric indexes were assessed for their association with the prevalence of MetS. MetS diagnosis was based on the Joint Interim Statement (JIS) criteria, and the discriminatory ability of each index was evaluated using receiver operating characteristic (ROC) curve analysis. Among Chinese adults, the crude prevalence of MetS was 29.92%. All anthropometric indexes included in the analysis were significantly and positively associated with the prevalence of MetS (all p-trend\u0026thinsp;\u0026lt;\u0026thinsp;0.0001). ROC curve analysis indicated that, among males, WC and AVI were the most effective indexes for discriminating MetS, while in females, WC and AVI also demonstrated the highest discriminative power. In the entire population, WHtR and BRI showed higher maximal Youden index values, with AUC values both at 0.83. 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