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ORIGINAL ARTICLE
Year : 2020  |  Volume : 9  |  Issue : 9  |  Page : 4667-4672

Which obesity index is a better predictor for cardiometabolic risk factors in a young adult rural population of Telangana State, India?


1 Community Medicine and Family Medicine, AIIMS, Bibinagar (Near Hyderabad), Bhuvanagiri-Yadadari District; Department of Community Medicine, SHARE INDIA, MediCiti Institute of Medical Sciences, Ghanpur (V), Medchal (M) and District, Telangana, India
2 Department of Community Medicine, SHARE INDIA, MediCiti Institute of Medical Sciences, Ghanpur (V), Medchal (M) and District, Telangana, India
3 Department of Pharmacology, SHARE INDIA, MediCiti Institute of Medical Sciences, Ghanpur (V), Medchal (M) and District, Telangana, India
4 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
5 School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; SHARE INDIA, MediCiti Institute of Medical Sciences, Ghanpur(V), Medchal(M) and District, Telangana, India

Correspondence Address:
Dr. G N Kusneniwar
Department Community Medicine and Family Medicine, AIIMS, Bibinagar, Bhuvanagiri-Yadadari District, Telangana - 508 126
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jfmpc.jfmpc_864_20

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Background: Waist-to-height ratio (WHtR) has recently been found to be a useful marker of cardiovascular disease (CVD) risk in populations in developed countries; the comparison of various obesity indices, particularly WHtR, has received little study in India and other developing countries. Aim: This study aimed to compare the associations of common obesity indices, body mass index (BMI), waist circumference, waist-hip ratio (WHR), and WHtR, with cardiometabolic risk factors in a young, rural Indian population. Subjects and Methods: Anthropometric measurements and cardiometabolic risk factors (hypertension, diabetes, and dyslipidemia) were measured using standardized protocols at the baseline visit of the Longitudinal Indian Family hEalth Pilot Study, a population-based cohort study of child-bearing age women and their husbands in rural Telangana, India. Results: In comparison with most previously studied populations, this population sample (642 males and 980 females) was younger; had lower BMI; and lower rates of diabetes, hypertension, and abnormal lipids (exception of high rates of low high-density lipoprotein). With regard to each of the cardiometabolic risk factors, the associations across the obesity indices tended to be significant, but weak, and similar to each other, whereas the association with WHR was less strong. Conclusion: Although WHtR was not a better predictor of cardiometabolic risk than conventional obesity indices, in this young adult Indian population, it was equally good. This raises the prospect of using WHtR as an alternative to BMI for assessing cardiometabolic risk in Indians considering the ease with which it can be easily done and interpreted.


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