Association of food patterns, central obesity measures and metabolic risk factors for coronary heart disease in adult men Jain Monika1,*, Singh Chetna2, Agarwal Priya3 1Professor Department of Food Science and Nutrition, Banasthali Vidyapith, Rajasthan, India 2Research Scholar, Department of Food Science and Nutrition, Banasthali Vidyapith, Rajasthan, India 3M. Sc. Student, Department of Food Science and Nutrition, Banasthali Vidyapith, Rajasthan, India *Corresponding Author: Monika Jain Professor, Department of Food Science and Nutrition, Banasthali Vidyapith, Rajasthan-304022, India, Email: drmonikajain2000@gmail.com
Online published on 25 September, 2018. Abstract The association of central obesity measures with food patterns and metabolic risk factors as a risk in the development of coronary heart disease (CHD) was studied among thirty seven adult men (≥ 30 years), purposively selected from Bareilly, India. Body mass index (BMI), waist circumference (WC), waist hip ratio (WHR) and conicity index (CI) were assessed as central obesity measures. Total cholesterol (TC), fasting triglyceride (FTG), fasting plasma glucose (FPG), high density lipoprotein cholesterol (HDL-c), low density lipoprotein cholesterol (LDL-c) and very low density lipoprotein cholesterol (vLDL-c) were assessed as metabolic risk factors. The food consumption pattern was assessed through self-designed questionnaire, food frequency questionnaire and three days food record. Correlation coefficient was computed between central obesity measures and food pattern variables as well as metabolic variables. The frequency of consumed egg, fried snacks and sweets had a positive and significant correlation with WC, WHR and CI, suggesting that such foods can cause ill effects on health. All central obesity measures had a significant and positive correlation with FTG, FPG and vLDL-c indicating that among the subjects, central body fat distribution was more atherogenic as compared to overall adiposity. Top Keywords Coronary heart disease (CHD), central obesity measures, metabolic risk factors, conicity index, food pattern. Top |