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Year : 2015  |  Volume : 2  |  Issue : 3  |  Page : 140-146

Central adiposity indicators for assessing risk of high blood pressure among Indian adolescents

Department of Biometry and Nutrition Unit, Agharkar Research Institute, Pune, Maharashtra, India

Correspondence Address:
Priti Apte
Biometry and Nutrition Unit, Agharkar Research Institute, Pune - 411 004, Maharashtra
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2347-9906.162330

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Introduction: In adults, central adiposity is known to be an indicator of intra-abdominal fat and correlates directly with cardiovascular disease risk. However, it is unclear whether central adiposity predicts similar risks among adolescents. Objective: The objective was to study the clinical validity of central adiposity indicators for predicting the risk of high blood pressure (BP) among Indian adolescents. Subjects and Methods: Children from 5 th to 10 th standard covering age group of 9-15 years (boys = 490 and girls = 468) were included in the study. Anthropometric measurements such as weight, height, body fat %; the skin fold thickness at four sites and waist circumference were measured by trained investigators using standard procedures. BP was measured using sphygmomanometer by a qualified pediatrician. Results: Overall adiposity and central adiposity correlated significantly with systolic blood pressure (SBP) and diastolic blood pressure (DBP). Mean SBP and DBP was remarkably higher among overweight subjects. Similarly, the prevalence of high BP was higher among overweight subjects. Prevalence of high BP showed an increasing trend from lower to higher tertile of waist circumference and subscapular skinfold. Sub-scapular skin folds (for boys) and waist circumference (for girls) showed significant odds ratio even in the middle tertile indicating early prediction for high SBP. Conclusion: The data suggest that subscapular skinfolds and waist circumference was a better and early indicator for identifying the risk of high BP in boys and girls, respectively. The above study thus needs to be tested on a larger sample.

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