Predictors of Metabolic Syndrome in the Iranian Population: Waist Circumference, Body Mass Index, or Waist to Hip Ratio?
Open Access
- 24 March 2013
- journal article
- research article
- Published by Hindawi Limited in Cholesterol
- Vol. 2013, 1-6
- https://doi.org/10.1155/2013/198384
Abstract
This study aimed to investigate whether body mass index (BMI), waist circumference (WC), or waist to hip ratio (WHR) could be a better predictor of metabolic syndrome and, if so, what would be the cutoff points for these surrogates to appropriately differentiate metabolic syndrome in different age and sex subgroups. Methods. The present cross-sectional study was conducted on a sample of Isfahan Cohort Study (ICS). In total, 468 individuals (194 with and 274 subjects without metabolic syndrome) according to the National Cholesterol Education Program’s Adult Treatment Panel III (ATP-III) criteria were selected. Anthropometric indices were measured and plotted using receiver-operating characteristic (ROC) curves. Results. According to ROC curve analysis, WC and WHR parameters were better indicators of metabolic syndrome compared to BMI in women, whereas in men WHR had a lower discriminating value compared to the other two parameters. Among these three anthropometric parameters, BMI had a lower sensitivity and WC and WHR both had a higher sensitivity for predicting metabolic syndrome in women compared with in men. The cut points for WC were nearly equal in men and women, 90.3 versus 90.0, respectively. Women had higher cut points for BMI (28.5 kg/m2) compared to men (26.0 kg/m2). Our results showed the highest sensitivity and specificity for WC cut points specially in women. To predict metabolic syndrome, we looked into optimal age-specific cut points for BMI, WC, and WHR. The results indicated that WC had the highest discriminating value compared to other indicators in the different age subgroups. The optimal cut points for all three parameters gradually increased with age. Conclusion. Our results demonstrated that regardless of gender and age variables, WC could be a preferred parameter for predicting metabolic syndrome compared to BMI and WHR in Iranian population.Keywords
This publication has 31 references indexed in Scilit:
- Trends of Components of the Metabolic Syndrome in German First Graders Throughout 10 Years: The PEP Family Heart StudyCholesterol, 2012
- Gender Differences Time Trends for Metabolic Syndrome and Its Components among Tehranian Children and AdolescentsCholesterol, 2012
- The impact of a community trial on the pharmacological treatment in the individuals with the metabolic syndrome: findings from the Isfahan Healthy Heart Program, 2001-2007Videosurgery and Other Miniinvasive Techniques, 2012
- Predictive value of body mass index and waist circumference for metabolic syndrome in 6–12‐year‐oldsActa Paediatrica, 2011
- Can body mass index, waist circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects?BMC Public Health, 2011
- Metabolic syndrome in menopausal transition: Isfahan Healthy Heart Program, a population based studyDiabetology & Metabolic Syndrome, 2010
- Receiver-operating characteristics of adiposity for metabolic syndrome: the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) studyPublic Health Nutrition, 2010
- Body mass index, waist circumference and waist-to-hip ratio cut-off points for categorisation of obesity among Omani ArabsPublic Health Nutrition, 2008
- Metabolic syndrome and the risk of new vascular events and all-cause mortality in patients with coronary artery disease, cerebrovascular disease, peripheral arterial disease or abdominal aortic aneurysmEuropean Heart Journal, 2007
- Metabolic syndrome increases all‐cause and vascular mortality: the Hong Kong Cardiovascular Risk Factor StudyClinical Endocrinology, 2007