Is Body Adiposity Index a Better and Easily Applicable Measure for Determination of Body Fat?

2020 ◽  
Vol 39 (8) ◽  
pp. 700-705
Author(s):  
Esen Yeşil ◽  
Beril Köse ◽  
Merve Özdemir
Keyword(s):  
Body Fat ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

scholarly journals Agreement of body adiposity index (BAI) and paediatric body adiposity index (BAIp) in determining body fat in Brazilian children and adolescents

2018 ◽  
Vol 22 (1) ◽  
pp. 132-139
Author(s):  
Mariana De Santis Filgueiras ◽  
Roberta Stofeles Cecon ◽  
Eliane Rodrigues de Faria ◽  
Franciane Rocha de Faria ◽  
Patrícia Feliciano Pereira ◽  
...  
Keyword(s):  
Children And Adolescents ◽  
Body Fat ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
The Body ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity ◽  
Operating Characteristic Curve ◽  
Brazilian Children

AbstractObjectiveTo evaluate agreement of the body adiposity index (BAI) and paediatric body adiposity index (BAIp) in estimating body fat compared with dual-energy X-ray absorptiometry (DXA) and to propose cut-off points for these indices to classify excess adiposity in Brazilian children and adolescents.DesignCross-sectional study. Measures of weight, height, hip circumference, BMI and body fat percentage (%BF) assessed by DXA were taken, and BAI and BAIp were calculated. The Bland–Altman plot was used to estimate agreement between the methods, and the receiver-operating characteristic curve to determine the cut-off points for BAI and BAIp per age and sex in comparison with DXA.SettingViçosa, Minas Gerais, Brazil.SubjectsChildren and adolescents aged 8–19 years (n 1049).ResultsOf the children and adolescents, 52·4 % were girls. BAI and BAIp had satisfactory performance by the receiver-operating characteristic curve, except for the 18–19 years age group, whose BAIp had better predictive capacity than BAI. The agreement analysis showed that BAI overestimated %BF by 2·64 %, on average, using DXA; while BAIp underestimated %BF by 3·37 %.ConclusionsBAI and BAIp showed low agreement with the body fat obtained by DXA, requiring caution when interpreting body composition data in children and adolescents.

scholarly journals The validity of the body adiposity index in predicting percentage body fat and cardiovascular risk factors among Chinese

2013 ◽  
Vol 81 (3) ◽  
pp. 356-362 ◽  
Author(s):  
Zhe-Qing Zhang ◽  
Yan-Hua Liu ◽  
Ying Xu ◽  
Xiao-Wei Dai ◽  
Wen-hua Ling ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Body Fat ◽  
The Body ◽  
Body Adiposity Index ◽  
Percentage Body Fat ◽  
Adiposity Index ◽  
Body Adiposity

Validity of body adiposity index in predicting body fat in Brazilians adults

2016 ◽  
Vol 29 (1) ◽  
pp. e22901 ◽  
Author(s):  
Wellington Segheto ◽  
France Araújo Coelho ◽  
Danielle Cristina Guimarães da Silva ◽  
Pedro Curi Hallal ◽  
João Carlos Bouzas Marins ◽  
...  
Keyword(s):  
Body Fat ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

The Body Adiposity Index Fails to Predict Body Fat in Costa Rican College Students

2014 ◽  
Vol 46 ◽  
pp. 796-797
Author(s):  
José Moncada-Jiménez ◽  
Elizabeth Carpio-Rivera ◽  
Jessenia Hernández-Elizondo ◽  
Alejandro Salicetti-Fonseca ◽  
Andrea Solera-Herrera
Keyword(s):  
College Students ◽  
Body Fat ◽  
Costa Rican ◽  
The Body ◽  
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 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 Body adiposity index assess body fat with high accuracy in nondialyzed chronic kidney disease patients

Obesity ◽  
2013 ◽  
Vol 21 (3) ◽  
pp. 546-552 ◽  
Author(s):  
Maria Inês B. Silva ◽  
Barbara S. Vale ◽  
Carla C.S. Lemos ◽  
Marcia R.S.G. Torres ◽  
Rachel Bregman
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Body Fat ◽  
High Accuracy ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity
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