Ramanpreet Randhawa1* and Sharda Sidhu2*
1Department of Human Genetics, Guru Nanak Dev University, Amritsar, Punjab, India
2Professor, Department of Human Genetics, Guru Nanak Dev University, Amritsar, Punjab, India
*Corresponding Author: Ramanpreet Randhawa, Department of Human Genetics, Guru Nanak Dev University, Amritsar, Punjab, India.
Received: December 30, 2019; Published: March 14, 2020
Dietary habits and practices predisposes individuals to obesity and increased metabolic disease risk. Therefore, this study was aimed to assess the of Metabolic Syndrome among adult urban and rural females of Amritsar (Punjab) on the basis of their dietary habits. The present cross-sectional data was collected from adult upper middle class females residing in various urban and rural areas of Amritsar district. The study group included 1520 females ranging in age (25 - 60 years), out of which, 800 females were urban and 720 women were rural. In context to dietary pattern, data was collected using relevant questions to determine eating habits of women who participated in the study. For data analysis, chi square test and multivariate logistic regression analysis were applied. Odds Ratio (OR) and Relative Risk (RR) with 95% confidence interval were also done. Skipping of breakfast, less intake of fruits and salads, higher consumption of junk and fried food, intake of sugar-rich eatable post-meal, drinking soft drinks frequently and ≤2 times daily meal frequency are significant dietary risk factors for emergence of metabolic syndrome which is quite prevalent in women of Amritsar.
Keywords: Dietary Habits; Food Consumption; Cholesterol; Hemoglobin
Citation: Ramanpreet Randhawa and Sharda Sidhu. “Dietary Habits as a Risk Factor for Metabolic Syndrome Among Adult Urban and Rural Females of Amritsar (Punjab)". Acta Scientific Nutritional Health 4.4 (2020): 72-84.
Copyright: © 2020 Ramanpreet Randhawa and Sharda Sidhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.