Body Shape Index, Body Adiposity Index, and Body Roundness Index to Predict Cardiovascular Health Status

Abstract

Background: Obesity and overweight, the fifth noticeable reason for worldwide mortality, has been found directly related to cardiovascular illness and sudden death. This study aimed to evaluate anthropometric measurements including; a Body Shape Index (ABSI), Waist-Height Ratio (WHtR), Abdominal Volume Index (AVI) and Conicity Index (CI), the risk factors for cardiovascular diseases. Methods: This case-control study was conducted at BMSI, Jinnah Post Graduate Hospital from March ‎2019 to September 2020. Participants selected (n=105 adults, aged 30-50 years) were divided into three groups (35 each). Group A: patients with diabetes <5 years without microalbuminuria, Group B: patients > 5 years of diabetes with microalbuminuria and Group C: healthy individuals. All measurements were estimated twice. Data was analyzed by SPSS and the mean difference was found by ANOVA. Linear regression was applied to predict variables and p<0.05 was considered significant. Results: The body mass index (BMI) among Group A, B and C was 25.1±0.04 kg/m2, 26.4±1.91 kg/m2 and 23.7±1.9 kg/m2 respectively. Statistically significant (p=0.000) mean difference for weight, BMI, WHtR, AVI and CI were observed among groups. A highly strong negative relationship between BMI with RPI and strong positive relationship of WHtR with AVI (r=0.887), BAI(r=0.929), CI(r=0.890), WWI(r=0.870), was found. However, highly strong positive relationship between ABSI with WWI and CI with WWI, was also observed. Conclusion: Predictors found related to cardiovascular health were BRI, BAI, and ABSI (p=0.000). However, neither the BRI, ABSI nor BAI showed ‎superior predictive power to WC, BMI, CI, WHtR and Conicity index. Keywords: Cardiovascular Abnormalities; Body Mass Index; Waist-Height Ratio (WHtR); Waist-Hip Ratio.