Associations of body adiposity index, body mass index, waist circumference, and percentage of body fat in young female Emirati adults

被引:1
作者
Haroun, Dalia [1 ]
Darwish, Maryam [1 ]
Ehsanallah, Aseel [1 ]
机构
[1] Zayed Univ, Coll Nat & Hlth Sci, Dept Publ Hlth & Nutr, Dubai, U Arab Emirates
关键词
BMI; OBESITY; RISK; BAI;
D O I
10.1371/journal.pone.0302779
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 (r(2) = 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.
引用
收藏
页数:15
相关论文
共 24 条
[1]  
Ahmad Q, 2018, UAE National Health Survey Report 2017-2018
[2]  
[Anonymous], 2015, NUTR TODAY, DOI [DOI 10.1097/NT.0000000000000092, 10.1097/NT.0000000000000092]
[3]  
[Anonymous], 2010, A healthy lifestyle-WHO recommendations
[4]   A Better Index of Body Adiposity [J].
Bergman, Richard N. ;
Stefanovski, Darko ;
Buchanan, Thomas A. ;
Sumner, Anne E. ;
Reynolds, James C. ;
Sebring, Nancy G. ;
Xiang, Anny H. ;
Watanabe, Richard M. .
OBESITY, 2011, 19 (05) :1083-1089
[5]   The accuracy and precision of DXA for assessing body composition in team sport athletes [J].
Bilsborough, Johann Christopher ;
Greenway, Kate ;
Opar, David ;
Livingstone, Steuart ;
Cordy, Justin ;
Coutts, Aaron James .
JOURNAL OF SPORTS SCIENCES, 2014, 32 (19) :1821-1828
[6]   STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT [J].
BLAND, JM ;
ALTMAN, DG .
LANCET, 1986, 1 (8476) :307-310
[7]   Beyond BMI: The value of more accurate measures of fatness and obesity in social science research [J].
Burkhauser, Richard V. ;
Cawley, John .
JOURNAL OF HEALTH ECONOMICS, 2008, 27 (02) :519-529
[8]  
Colt Edward, 2010, Int J Body Compos Res, V8, P41
[9]   Associations of body adiposity index, waist circumference, and body mass index in young adults [J].
Fedewa, Michael V. ;
Nickerson, Brett S. ;
Esco, Michael R. .
CLINICAL NUTRITION, 2019, 38 (02) :715-720
[10]   Comparison of Body Adiposity Index (BAI) and BMI with Estimations of % Body Fat in Clinically Severe Obese Women [J].
Geliebter, Allan ;
Atalayer, Deniz ;
Flancbaum, Louis ;
Gibson, Charlisa D. .
OBESITY, 2013, 21 (03) :493-498