Body mass index (BMI) predicts percent body fat better than body adiposity index (BAI) in school children

2015 ◽  
Vol 72 (3) ◽  
pp. 257-262 ◽  
Author(s):  
Dapeng Zhao ◽  
Yunzhao Zhang
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
School Children ◽  
Percent Body Fat ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity ◽  
Better Than

scholarly journals Body Adiposity Index, Body Mass Index, and Body Fat in White and Black Adults

JAMA ◽  
2011 ◽  
Vol 306 (8) ◽  
Author(s):  
Tiago V. Barreira ◽  
Deirdre M. Harrington ◽  
Amanda E. Staiano ◽  
Steven B. Heymsfield ◽  
Peter T. Katzmarzyk
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Black Adults ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

scholarly journals Concordance of obesity classification between body mass index and percent body fat among school children in Saudi Arabia

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Abdulrahman Al-Mohaimeed ◽  
Saifuddin Ahmed ◽  
Khadiga Dandash ◽  
Mohammed Saleh Ismail ◽  
Nazmus Saquib
Keyword(s):  
Body Mass Index ◽  
Saudi Arabia ◽  
Body Mass ◽  
Body Fat ◽  
School Children ◽  
Percent Body Fat

scholarly journals Body Adiposity Index and Cardiovascular Health Risk Factors in Caucasians: A Comparison with the Body Mass Index and Others

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e63999 ◽  
Author(s):  
Miquel Bennasar-Veny ◽  
Angel A. Lopez-Gonzalez ◽  
Pedro Tauler ◽  
Mey L. Cespedes ◽  
Teofila Vicente-Herrero ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Health Risk ◽  
Body Mass ◽  
Cardiovascular Health ◽  
The Body ◽  
Health Risk Factors ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

Abstract P167: The Body Adiposity Index in Africans is a more Practical Measure of Percent Fat than Bioelectric Impedance

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Amber B Courville ◽  
Dilatat Bello ◽  
Caroline K Thoreson ◽  
Michelle Y O'Connor ◽  
Stephanie T Chung ◽  
...  
Keyword(s):  
Body Fat ◽  
The Body ◽  
Percent Body Fat ◽  
Hip Circumference ◽  
Limits Of Agreement ◽  
Men And Women ◽  
Body Adiposity Index ◽  
Bioelectric Impedance ◽  
Adiposity Index ◽  
Body Adiposity

As the obesity epidemic overtakes Africa, practical methods to measure percent body fat need identification. Possibilities which have not been validated in Africans are the Body Adiposity Index (BAI), which uses hip circumference and height and the same formula for men and women, and bioelectric impedance (BIA) derived from NHANES III data and uses different equations for men and women. Using dual-energy X-ray absorptiometry (DXA) scans as the reference method, 107 Africans (71% male; age 39.5∓10.3 y, range 22 to 64 y; BMI 27.9∓4.5 kg/m 2 , range 19.7 to 41.2 kg/m 2 ) had percent body fat assessed in two ways. Method 1 was: BAI (Hip circumference/Height 1.5 )-18). Method 2 was: BIA (Men: weight - (-10.678 + 0.262*weight + 0.652*height 2 /resistance + 0.015*resistance))/weight*100; Women: (weight - (-9.529 + 0.168*weight + 0.696*height 2 /resistance + 0.016*resistance))/weight*100)). Percent body fat by DXA, BAI and BIA are shown in the Figure. Concordance was between 0.5 and 0.6 with P <0.001 for DXA and BAI as well as between DXA and BIA. Bland-Altman analyses revealed the BAI estimated percent body fat with a mean difference of 1.1% and limits of agreement of -9.7 and 11.9. With BIA the mean difference was 6.0% and the limits of agreement were -2.3 and 14.4.The BAI and BIA are similar in accuracy, but BAI is easier to apply as it requires only hip circumference and height measurements and uses the same equation for men and women. Therefore, BAI is a superior measure of body fat for both clinical and epidemiological studies in Africans.

scholarly journals Predictive Power of Body Visceral Adiposity Index, Body Adiposity Index and Body Mass Index for Type 2 Diabetes in Qatari Population

2020 ◽  
Author(s):  
Aysha Alkhalaqi ◽  
Fatima Alnaimi ◽  
Rouda Qassmi ◽  
Hiba Bawadi
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Relative Effectiveness ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

Background: The prevalence of type 2 diabetes (T2D) has increased recently in Qatar. Body mass index (BMI) is a predictor of T2D in many populations. However, BMI is based on height and weight measurements and not on body adiposity. Therefore, the utility of BMI for predicting the risk of T2D has been questioned, and visceral adiposity (VAI) appears to be a better predictor of T2D. Objective: This study is aimed to assess the relative effectiveness of visceral adiposity index (VAI) and body adiposity index (BAI), in comparison with body mass index (BMI), for T2D among Qatari adults. Methodology: A random sample of 1103 adult Qatari nationals over 20 years old were included in this study; this data was obtained from the Qatar National Biobank. We performed a multivariate logistic regression to examine the association between VAI, BAI, BMI, and T2D, and computed zscores for VAI, BAI and BMI. Results: VAI z-scores showed the strongest association with the risk of T2D (OR, 1.44; 95% CI: 1.24–1.68) compared with the zscores for BAI (OR, 1.15; 95% CI: 0.93–1.43) and BMI (OR, 1.33; 95% CI: 1.11–1.59). Subgroup analyses indicated that the association was stronger between VAI and T2D in Qatari women than in men. Conclusion: VAI was a strong and independent predictor of T2D among the Qatari adult population. Therefore, VAI could be a useful tool for predicting the risk of T2D among Qatari adults.

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