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Comparison of Anthropometric Indices as Predictors of Cardiovascular Disease Risk Factors in Iran: The PERSIAN Guilan Cohort Study (PGCS) [Anatol J Cardiol]
Anatol J Cardiol. Ahead of Print: AJC-73557 | DOI: 10.14744/AnatolJCardiol.2020.73557  

Comparison of Anthropometric Indices as Predictors of Cardiovascular Disease Risk Factors in Iran: The PERSIAN Guilan Cohort Study (PGCS)

Marjan Mahdavi-Roshan1, Arezoo Rezazadeh2, Farahnaz Joukar3, Mohammadreza Naghipour4, Soheil Hassanipour1, Fariborz Mansour-Ghanaie3
1Cardiovascular Diseases Research Center, Department of Cardiology, Heshmat Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
2Department of Community Nutrition, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Behehshti University of Medical Sciences, Tehran, Iran.
3Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
4Caspian Digestive Disease Research Center, Guilan University of Medical Sciences, Rasht, Iran.

Objective: This study was conducted to assess the prevalence of central and general obesity and comparison of nine anthropometric indices as predictors of cardiovascular disease (CVD) risk factors in Iranian adults.
Methods: This study was conducted on 10520 adults between 35-70 years old who referred to the PERSIAN Guilan Cohort study. Anthropometric indices, including Body mass index (BMI), waist circumference(WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), conicity index (CI), hip circumference(HC), waist to hip to height ratio(WHHR), Body adiposity index (BAI) and A Body Shape Index (ABSI), were measured using the standard methods. The CVD risk factors (diabetes mellitus, hypertension and out of range lipid profiles) were defined by laboratory tests and medical history. The odds ratio of the risk factors based on a unit increase in anthropometric indices were examined by an adjusted logistic model. Results: Mean of all anthropometric indices was higher in women than men (p < 0.01). After adjusting for confounders, the chance of diabetes mellitus, hypertension and hypertriglyceridemia was increased by increase of all anthropometric indices. The highest chance of diabetes mellitus and hypertriglyceridemia were found by higher amount of WHHR. The highest chance of low HDL-C and high LDL-C was found for increase in WHR and ABSI, respectively.
Conclusion: Our findings emphasize higher levels of general and central obesity in adults in the north of Iran. WHHR and WHtR seem to be more valuable indices than BMI and WC for predicting distinct cardiovascular disease risk factors. However, WHR was the strongest index for prediction of High LDL/HDL-C ratio.

Keywords: anthropometry, indices, obesity, cardiovascular disease, central obesity.




Corresponding Author: Fariborz Mansour-Ghanaie, Iran


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