{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T11:16:28Z","timestamp":1783336588942,"version":"3.54.6"},"reference-count":30,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T00:00:00Z","timestamp":1731628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"The Research Project of Preventive Medicine in Jiangsu Province","award":["Yl2023012"],"award-info":[{"award-number":["Yl2023012"]}]},{"name":"The Jiangsu Province of China Study on Prevention of Multi-Metabolism Disorders and MS (PMMJS) and the Research Project of Preventive Medicine in Jiangsu Province"},{"name":"Jiangsu Province Engineering Research Center of Development and Translation of Key Technologies for Chronic Disease Prevention and Control"},{"name":"Innovation Team Construction Program of Suzhou Vocational Health College","award":["SZWZYTD202203"],"award-info":[{"award-number":["SZWZYTD202203"]}]},{"name":"the 'Qing-Lan Project' of Jiangsu Higher Education University"},{"name":"the Research Project of Preventive Medicine in Jiangsu Province","award":["Y2018024"],"award-info":[{"award-number":["Y2018024"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Perfusion"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The purpose of this study was to compare the ability of four obesity indicators, including waist circumference (WC), body mass index (BMI), body adiposity index (BAI), and waist-to-height ratio (WHtR) on prediction for incident cardiovascular disease (CVD) in Chinese Han population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We analyzed data from a prospective population cohort of 3598 participants aged 35 to 74 years from Jiangsu China. The logistic regression model was used to analyze the association between four obesity indicators and CVD risk. The ROC curve was used to assess and compare the diagnostic performance of four obesity indicators.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>During 8 years (median 6.3 years) of follow-up time, 82 CVD endpoints were collected during follow up (36 men and 46 women). After adjustment for age, smoking status, alcohol consumption and family history of CVD, in men, WC, BMI, and BAI were associated with triglycerides (TG), high-density lipoprotein cholesterol (HDL-C) and hypertension. In women, WC, BMI and WHtR were associated with TG, HDL-C, hyperglycemia and hypertension, BAI was only associated with HDL-C, hyperglycemia, and hypertension. ROC curve analysis indicated that BAI have the highest area under the curve to identify CVD, and BMI has the lowest area under the curve to identify CVD in Chinese males. WHtR has the highest area under the curve to identify CVD, and BMI has the lowest area under the curve to identify CVD in Chinese females.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>CVD risk was more consistently correlated with BAI in Chinese men and more consistently correlated with WHtR and WC in Chinese women.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02676591241300973","type":"journal-article","created":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T05:06:37Z","timestamp":1731647197000},"page":"1397-1404","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Body adiposity index and other indexes of body composition in predicting cardiovascular disease in the Chinese population: A Cohort study"],"prefix":"10.1177","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6083-8070","authenticated-orcid":false,"given":"Wen-Shu","family":"Luo","sequence":"first","affiliation":[{"name":"Department of Chronic Non-communicable Disease Control, Changzhou Center for Disease Control and Prevention, Changzhou Advanced Institute of Public Health, Changzhou, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Public Health, Suzhou Vocational Health College, Suzhou, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi- Rong","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Public Health, Soochow university, Suzhou, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,11,15]]},"reference":[{"issue":"7","key":"e_1_3_5_2_2","first-page":"573","article-title":"The Writing Committee of the Report on cardiovascular health and diseases in China. 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Strengths and limitations of BMI in the diagnosis of obesity: what is the Path Forward? Curr Obes Rep. 2024; 28(3): 284\u2013290.","journal-title":"Curr Obes Rep"},{"key":"e_1_3_5_19_2","doi-asserted-by":"publisher","DOI":"10.5603\/KP.a2017.0149"},{"key":"e_1_3_5_20_2","doi-asserted-by":"publisher","DOI":"10.1038\/oby.2012.81"},{"key":"e_1_3_5_21_2","doi-asserted-by":"publisher","DOI":"10.1038\/oby.2011.343"},{"key":"e_1_3_5_22_2","doi-asserted-by":"publisher","DOI":"10.1080\/07315724.2020.1727378"},{"key":"e_1_3_5_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clnu.2018.03.014"},{"key":"e_1_3_5_24_2","doi-asserted-by":"crossref","first-page":"e067516","DOI":"10.1136\/bmj-2021-067516","article-title":"Anthropometric and adiposity indicators and risk of type 2 diabetes: systematic review and dose-response meta-analysis of cohort studies","volume":"376","author":"Jayedi A","year":"2022","unstructured":"Jayedi A, Soltani S, Motlagh SZ, et al. 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