Predictive power of Body mass index, Body adiposity index and A body shape index of lipid profile, fasting blood sugar and blood pressure in men and women aged 18 to 50 living in Tabriz

Abstract

Background and objectives: The Body adiposity index (BAI) and A body shape index (ABSI) have been suggested as a better substitute for body mass index (BMI) to predict metabolic abnormalities associated with obesity. The purpose of this study was to determine the predictive power of BMI, body adiposity index and A body shape index for predicting high blood pressure, lipid profiles and fasting blood glucose levels in adults. Methods: The data of 277 subjects (109 men and 168 women) as a part of the major Lifestyle Promotion Project (LPP) conducted in the districts of Tabriz-East Azerbaijan-Iran were collected for this study. weight, height, waist and hip circumferences were measured and BMI, BAI and ABSI were calculated. Blood pressure was measured twice, after 5 minutes of rest. The levels of lipid profile and FBS were measured. ANOVA and Receiver Operating Characteristic (ROC) were used for statistical analysis. Results: Based on our results, BMI predicted total calorie, carbohydrate and protein intake (AUC:0.67, AUC:0.57, and AUC:0.58 respectively), and BAI predicted total calorie intake (AUC:0.6) (p <0.05). BMI and BAI had a significant and accurate AUC (AUC:0.70, and AUC:0.60, respectively) in predicting serum triglyceride and ABSI in predicting serum total cholesterol (AUC:0.6). In addition, none of the indices had a significant prediction for LDL-C and HDL-C. ABSI was a better predictor of FBS compared with other indices with higher AUC (AUC:0.85) in all subjects, as well as in men (AUC:0.75) and women (AUC:0.91). BMI (AUC:0.65), BAI (AUC:0.68), and ABSI (AUC: 0.65) predicted systolic blood pressure equally (p<0.05). None of them had a significant prediction for diastolic blood pressure. Conclusion: Our findings suggested that neither ABSI nor BAI was superior to BMI for predicting dyslipidemia and high blood pressure, while ABSI was the best anthropometric index for predicting FBS.