Cardiac health awareness amongst women presenting for routine health checkup at tertiary care centre: Trends over the last 15 years

Aim: Obesity is known to be related to the development of various metabolic complications including type 2 diabetes mellitus (T2DM), hypertension, dyslipidemia and NAFLD.The most commonly used anthropometric indicator i.e. body mass index [BMI] presents several limitations such as the lack of possibility to distinguish adipose tissue distribution.ABSI taken care of WHO recommendation concerning waist circumference inclusion into health risk evaluation.This study examines the suitability of a body shape index (ABSI) for prediction of body composition and sarcopenic obesity in Indian population.Method: A total of 2288 subjects were included in the study.Anthropometric measurements (weight, height, waist circumference) were recorded.Body mass index (BMI) was calculated from weight and height, body shape index (ABSI) was calculated from waist circumference, weight, height and BMI.Results: According to ABSI, 1335 subjects were at low risk, 554 at moderate risk and 399 at high risk.When We calculate the BMI, only 371 subjects were having normal weight, 280 were overweight and 1637 were obese.This data shows a significant difference between observations of BMI and ABSI.ABSI has shown better correlation with HbA1C , pulse wave velocity(PWV), serum cholestrol, serum low density lipoproteins (LDL) and HDL, ABI but BMI which has correlation with HbA1C, serum cholestrol, LDL only.A significant change has been seen when we classify patient at risk based on BMI or ABSI.Conclusion: ABSI is better marker as compared to BMI in assessing future cardiovascular risk.