ArticlePloS one2024
Associations of body adiposity index, body mass index, waist circumference, and percentage of body fat in young female Emirati adults.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Multivariable Associations of Anthropometric and Psychosocial Markers with an Elevated Abdominal Volume Index Among University Students: A Sex- and Academic Program-Stratified Analysis.Healthcare (Basel, Switzerland) · 2026Article
- Comparison Of Body Mass Index (BMI), an old modality for prediction of gestational diabetes, with the new formulas such as Body Adipose Index (BAİ), Adipose Percentage and Type a Body Fat Index (ABSI): a prospective cohort study.BMC pregnancy and childbirth · 2026Article
- A Narrative Review of Weight Management Strategies: From Lifestyle Interventions to Emerging Pharmacotherapies.Journal of obesity · 2026Review
- Comparison of body adiposity index and body mass index for assessment of body fat percentage among office workers: A validation study.Pakistan journal of medical sciences · 2025Article
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3 authors.
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Abstract
Body Adiposity Index (BAI), which relies on an individual's hip circumference and height, was proposed as an alternative anthropometric measurement to Body Mass Index (BMI). Although this measure has been validated across different populations, its accuracy in predicting percent body fat (%BF) in the United Arab Emirates has not yet been assessed. The objective of this study was to examine the association between BAI, BMI, Waist Circumference (WC), and %BF in young female Emirati adults and determine the relative accuracy of BAI when predicting %BF. A retrospective cross-sectional study was conducted among 95 Emirati women between the ages of 17 and 27. The %BF was measured using the dual-energy X-ray absorption (DXA) scanner. Anthropometric measurements were collected, and BMI and BAI were calculated. BMI and %BF (r = 0.823, p <0.001) showed a greater association than that between BAI and %BF (r = 0.702, p <0.001). A linear regression analysis revealed that BMI was the single best predictor of %BF in the sample (r2 = 0.678, p<0.001). The variation around the regression line for BAI comparisons with %BF (standard error of estimate = 4.879) was greater than BMI comparisons (standard error of estimate = 3.889). BAI was found to significantly underestimate %BF at higher adiposity levels (mean difference = 8.7%). The ROC curve analysis demonstrated that BMI had a higher discriminatory capacity (AUC = 0.891) over WC and BAI. The results demonstrated that BMI was a better predictor of %BF in the sample than BAI and WC. Thus, BMI may be more useful in assessing adiposity in young female Emirati adults than BAI. However, the potential of BAI as an alternative measure of adiposity should continue to be examined.
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