Key result
Each unit increase in body adiposity index was associated with a 27% increased odds of metabolic syndrome (P=0.001), although waist-hip ratio exhibited the highest predictive power overall.
Why the study?
Body adiposity index and conicity index are useful in predicting cardio-metabolic diseases, but their predictive potential for metabolic syndrome risk compared with traditional anthropometric measures required evaluation.
Do body adiposity index and conicity index predict metabolic syndrome risk better than traditional anthropometric measures in adults?
Cross-Sectional (n=174)
No
Do body adiposity index and conicity index predict metabolic syndrome risk better than traditional anthropometric measures in adults?
Odds Ratio: 1.27
p-value: p=0.001
Traditional anthropometric measures, particularly waist-hip ratio, exhibit higher predictive power for metabolic syndrome than newer indices like body adiposity index and conicity index.
May support BAI and conicity index for MetS screening alongside BMI; leaves open whether they improve longitudinal prediction.
Body adiposity index (BAI) and conicity index have been known as useful measures in predicting cardio-metabolic diseases. This study aimed to evaluate the predictive potential of BAI and conicity index for the risk of metabolic syndrome (MetS) in comparison with body mass index (BMI), waist circumference (WC), hip circumference (HC), and waist-hip ratio (WHR). In this cross-sectional study, 174 adults (87 with MetS and 87 healthy individuals) were recruited from a medical weight loss center. Anthropometric parameters, systolic and diastolic blood pressures (SDP and DBP), lipid profile, and fasting blood sugar (FBS) were measured. All anthropometric parameters were significantly higher in subjects with MetS than in healthy subjects. Both in MetS and healthy subjects, females had significantly higher BAI and BMI than males. In the fully adjusted model, the odds of MetS increased for each unit increase in BAI by 27 % (p = 0.001), in BMI by 33 % (p = 0.001), in WC by 13 % (p < 0.001), and in HC by 9 % (p = 0.005). ROC curve analysis showed that all the anthropometric parameters displayed clinical importance in predicting MetS, but WHR had the largest area under the curve (AUC) in total, male, and female patients. In participants with MetS, the conicity index was negatively correlated with FBS; BAI was positively associated with HDL level. All studied anthropometric parameters had acceptable accuracy for predicting MetS. Traditional parameters, particularly the WHR, exhibited a higher predictive power concerning MetS. The results underscore the reliability of conventional anthropometric measures in clinical and epidemiological settings. • Body adiposity index (BAI) and conicity index are recognized as useful measures for predicting cardio-metabolic diseases. • All anthropometric parameters including BAI, conicity index, BMI, WC, HC, and WHR have acceptable accuracy for predicting MetS. • A higher predictive power of traditional anthropometric measures, particularly WHR, concerning MetS, underscoring their clinical and epidemiological significance.
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Kheirouri et al. (2024) conducted a cross-sectional in Metabolic syndrome (n=174). Body adiposity index (BAI) was evaluated on Metabolic syndrome (OR 1.27, p=0.001). Each unit increase in body adiposity index was associated with a 27% increased odds of metabolic syndrome (P=0.001), although waist-hip ratio exhibited the highest predictive power overall.
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