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ORIGINAL ARTICLE
Year : 2011  |  Volume : 15  |  Issue : 1  |  Page : 31-37

Relation of anthropometric variables to coronary artery disease risk factors


Department of Medicine, Krishna Institute of Medical Sciences University, Dhebewadi Road, Karad, Satara District, Maharashtra - 415 110, India

Correspondence Address:
Virendra C Patil
Assistant Professor, Department of Medicine, Krishna Institute of Medical Sciences University (KIMSU), Dhebewadi Road, Karad, Satara District, Maharashtra- 415 110
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2230-8210.77582

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Background and Objectives: Anthropometric variables and their relation to conventional coronary artery disease (CAD) risk factors in railway employees have been inadequately studied in India. This cross-sectional survey was carried out in the Solapur division of the Central railway in the year 2004, to assess the anthropometric variables in railway employees and their relation to conventional CAD risk factors. Materials and Methods: A total of 995 railway employees, with 872 males and 123 females participated in this cross-sectional study. All subjects underwent anthropometric measurements, fasting lipid profile, and blood sugar level. Various anthropometric indices were calculated for body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and abdominal volume index (AVI). Statistical analysis was done by EPI Info 6 statistical software. Results: Compared to all other obesity indices, WHtR was most prevalent in both genders. High WHtR was present in 699 (80.16%) males and 103 (83.73%) females. Age ≥45 years, high systolic BP, high diastolic BP, low HDL, high triglyceride, and diabetes mellitus were positively correlated with high BMI, high WC, high WHR, high WHtR, and high AVI. High BMI, high WC, high WHR, high WHtR, and high AVI were negatively associated with physical inactivity. Conclusions: Over all, anthropometric variables in both genders were significantly deranged in subjects with coronary risk factors. Compared to all other anthropometric variables, WHtR was statistically significantly associated with a majority of coronary artery risk factors. Hence we recommend inclusion of WHtR as a parameter of obesity to predict coronary artery disease risk factor along with WC, WHR, and BMI in epidemiologic studies.


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