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ORIGINAL ARTICLE
Year : 2012  |  Volume : 1  |  Issue : 1  |  Page : 8-12

Use of anthropometric indices as simple predictors of deranged lipid profile and at risk population for future cardiovascular events


1 Department of Biochemistry, JSS Medical College, JSS University, Mysore, India
2 Department of Medicine, JSS Medical College, JSS University, Mysore, India
3 Department of Biochemistry, Dr. B.R. Ambedkar Medical ­College, Rajiv Gandhi University, Bangalore, India

Correspondence Address:
Akila Prashant
Department of ­Biochemistry, JSS Medical College, JSS University, Mysore
India
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Source of Support: ICMR.STS 2010, Conflict of Interest: None


DOI: 10.4103/2278-344X.96411

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Context: Estimation of lipid profile requires fasting blood sample which needs a higher level of motivation. We were looking for simpler noninvasive tests or measurements that can be applied to larger population to predict lipid profile abnormality and at-risk population for future cardiovascular events. Aims: The aim was to measure anthropometric indices in relation to lipid profile and modifiable risk factors such as smoking and alcohol in a healthy young adult local population, and to assess the risk for future cardiovascular complications. Materials and Methods: The study was conducted on 500 young individuals (aged 18-30 years) across different sections of society in the local population. The lipid profile (total cholesterol, high density lipoprotein, low density lipoprotein, very low density lipoprotein and triglycerides) along with anthropometric indices like body mass index, waist circumference, and waist hip ratio was measured. Information on alcohol intake, smoking, and dietary habits was obtained through a prevalidated questionnaire. Data entry and all statistical analysis were done using statistical software Microsoft excel and Epi-info version 3.5.1. Results: BMI showed a significant correlation with total cholesterol (P = 0.0116), triglycerides (P = 0.0199), LDL cholesterol (P = 0.0284), and VLDL cholesterol (P = 0.0199). Smokers and alcoholics showed a significant increase in total cholesterol (P = 0.0062, P = 0.0009), triglycerides (P = 0.0437, P = 0.0317), LDL cholesterol (P = 0.0356, P = 0.0023), and VLDL cholesterol (P = 0.0437, P = 0.0317) respectively. Alcoholics showed a significant increase in waist hip ratio (P = 0.0082) when compared to the nonalcoholics. Conclusions: In agreement with other study our study reiterates the use of noninvasive anthropometric parameters as a screening tool for lipid profile abnormalities.


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