The application of visceral adiposity index in identifying type 2 diabetes risks based on a prospective cohort in China

Lipids in Health and Disease

Research

Jie Yang¹  Yan Xu²  Zhi-rong Guo³  Chen Chen⁴  Ming Wu⁵  Xiao-shu Hu⁶ 

[1] Department of Chronic Diseases Control, Jiangsu Provincial Center for Disease Control and Prevention, 210009, Nanjing, China;Department of Immune Planning, Jiangsu Provincial Center for Disease Control and Prevention, 210009, Nanjing, China;School of Public Health, Soochow University, 215123, Suzhou, Jiangsu, China;School of Public Health, Southeast University, 210009, Nanjing, Jiangsu, China;Department of Chronic Diseases Control, Jiangsu Provincial Center for Disease Control and Prevention, 210009, Nanjing, China;School of Public Health, Southeast University, 210009, Nanjing, Jiangsu, China;Department of Chronic Diseases Control, Jiangsu Provincial Center for Disease Control and Prevention, 210009, Nanjing, China;Jiangsu Provincial Center for Disease Control and Prevention, No. 172, Jiangsu Road, 210009, Nanjing, China;School of Public Health, Southeast University, 210009, Nanjing, Jiangsu, China;Jiangsu Food and Drug Administration, 210009, Nanjing, Jiangsu, China;Jiangsu Provincial Center for Disease Control and Prevention, No. 172, Jiangsu Road, 210009, Nanjing, China;

关键词: Diabetes;    Visceral adiposity index;    Body mass index;    Waist circumference;    Waist-to-height ratio;   

DOI  :  10.1186/1476-511X-13-108

 received in 2014-03-09, accepted in 2014-07-01,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundVisceral adiposity index (VAI), a novel sex-specific index for visceral fat measurement, has been proposed recently. We evaluate the efficacy of VAI in identifying diabetes risk in Chinese people, and compare the predictive ability between VAI and other body fatness indices, i.e., waist circumference (WC), body mass index (BMI) and waist- to- height ratio (WHtR).MethodsParticipants (n = 3,461) were recruited from an ongoing cohort study in Jiangsu Province, China. Hazard ratio (HR) and corresponding 95% confidence interval (CI) between diabetes risk and different body fatness indices were evaluated by Cox proportional hazard regression model. Receiver operating characteristic (ROC) curve and area under curve (AUC) were applied to compare the ability of identifying diabetes risk between VAI, WC, WHtR and BMI.ResultsA total number of 160 new diabetic cases occurred during the follow-up, with an incidence of 4.6%. Significant positive associations were observed for VAI with blood pressure, fasting plasma glucose, triglyceride, WC, BMI and WHtR. Moreover, increased VAI was observed to be associated with higher diabetes risk with a positive dose–response trend (p for trend < 0.001). As compared to individuals with the lowest VAI, those who had the highest VAI were at 2.55-fold risk of diabetes (95% CI: 1.58-4.11). The largest AUC was observed for VAI, following by WC, WHtR and BMI.ConclusionsVAI is positively associated with the risk of diabetes. Compared to other indices for body fatness measurements, VAI is a better and convenience surrogate marker for visceral adipose measurement and could be used in identifying the risk of diabetes in large-scale epidemiologic studies.

【 授权许可】

Unknown   
© Chen et al.; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.