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Assessing Body Shape Index As a Risk Predictor for Cardiovascular Diseases and Metabolic Syndrome Among Iranian Adults Publisher Pubmed



Haghighatdoost F1, 2 ; Sarrafzadegan N3 ; Mohammadifard N3 ; Asgary S3 ; Boshtam M3 ; Azadbakht L1, 2
Authors
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Authors Affiliations
  1. 1. Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
  3. 3. Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Nutrition Published:2014


Abstract

Objective: Several studies have concluded a positive association between abdominal obesity, general obesity, and chronic diseases. However, the best anthropometric measures to predict the risk for chronic diseases should be clarified in each population. Therefore, the aim of this study was to compare the predictive power of A Body Shape Index (ABSI), body mass index (BMI), and waist-to-height ratio and Clinica Universidad de Navarra-Body Adiposity Estimator for metabolic syndrome (MetS) and cardiovascular disease (CVD) risks among Iranians in different age and sex categories. Methods: This population-based cross-sectional study conducted on 9555 individuals, ages ≥19y. Anthropometric measures, blood pressure, and biochemical markers were measured using standard protocols. Hypertension, hyperglycemia, hypercholesterolemia, high low-density lipoprotein cholesterol and low high-density lipoprotein cholesterol levels were considered as the CVD risks. Results: Mean (SD) of age and BMI of participants were 38.7y (mean 15.5) and 25.7kg/m2 (mean 4.6), respectively. ABSI demonstrated the weakest correlations and lowest area under curve (AUC) for various risk factors and MetS. However, the highest odds ratio was observed for ABSI and MetS in different age and sex categories. Conclusions: Based on the AUC, we concluded that ABSI is a weak predictor for CVD risks and MetS. More studies are needed to determine the best predictor of CVD risk among the Iranian population. © 2014 Elsevier Inc.
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