Association of Obesity and Cardiometabolic Syndrome in Bank Employees: A Cross Sectional Study

• Published in: Journal of Krishna Institute of Medical Sciences University Vol. 4; no. 1; pp. 115 - 122
• Main Authors: Sanjeev S. Walvekar, Jeevan G. Ambekar, Basvaraj B. Devaranavdgi
• Format: Journal Article
• Language: English
• Published: Krishna Institute of Medical Sciences University 01.01.2015
• Subjects: BMI; Cardiovascular disease; Microalbuminuria; Obesity
• ISSN: 2231-4261; 2231-4261

Background: Metabolic syndrome also referred as cardio metabolic syndrome is identified as the prestate for cardiovascular disease, type 2 diabetes and also for chronic kidney disease. Obesity is considered as the strongest component of metabolic syndrome as per the definition given by different organizations. The easiest way to measure obesity are waist circumference, Body Mass Index (BMI) and waist to hip ratio. Aims and Objective: To find the association between microalbuminuria and components of cardiometabolic syndrome in the bank employees and also the association between waist circumference, body mass index and components of cardiometabolic syndrome, microalbumin. Material and Methods: This was a cross sectional study involving 73 subjects working in a reputed bank. Their anthropometric measurements and biochemical parameters like fasting blood glucose, lipid profile, serum cortisol and microalbumin were measured. We defined microalbuminuria as a urinary albumin to creatinine ratio of 30 to 299 mg/gm. Results: out of 73 participants, in 33 participants at least 3-5 parameters of cardiometabolic syndrome were found to be present and were labeled as cardiometabolic syndrome patients. Waist circumference showed positive correlation with age (r=0.498), systolic blood pressure (r=0.500), diastolic blood pressure (r=0.476), fasting blood glucose (r=0.300), triglyceride (r=0.408) and microalbumin (r=0.409). Microalbumin also exhibited a significant positive correlation with age (r=0.404), waist circumference (r=0.419), fasting blood glucose (r=0.476) and HbA1c (r=0.466), while BMI showed negative correlation with microalbumin (r=-0.085). Conclusions: Obesity, one of the parameters of cardiometabolic syndrome measured as waist circumference, is indicative of the syndrome rather than BMI. Microalbumin may be considered as a promising parameter of cardiometabolic syndrome.