| dc.description.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. | en_US |
