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
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 ◽  
...  

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.


2013 ◽  
Vol 81 (3) ◽  
pp. 356-362 ◽  
Author(s):  
Zhe-Qing Zhang ◽  
Yan-Hua Liu ◽  
Ying Xu ◽  
Xiao-Wei Dai ◽  
Wen-hua Ling ◽  
...  

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Amber B Courville ◽  
Dilatat Bello ◽  
Caroline K Thoreson ◽  
Michelle Y O'Connor ◽  
Stephanie T Chung ◽  
...  

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.


2015 ◽  
Vol 28 (3) ◽  
pp. 394-397 ◽  
Author(s):  
Elizabeth Carpio-Rivera ◽  
Jessenia Hernández-Elizondo ◽  
Alejandro Salicetti-Fonseca ◽  
Andrea Solera-Herrera ◽  
José Moncada-Jiménez

2018 ◽  
Vol 9 (5) ◽  
pp. 617-624 ◽  
Author(s):  
Matheus Santos Cerqueira ◽  
Carolina Araújo dos Santos ◽  
Diego Augusto Santos Silva ◽  
Paulo Roberto dos Santos Amorim ◽  
João Carlos Bouzas Marins ◽  
...  

Obesity ◽  
2011 ◽  
Vol 19 (9) ◽  
pp. 1729-1729 ◽  
Author(s):  
Matthias B. Schulze ◽  
Norbert Stefan

Nutrients ◽  
2017 ◽  
Vol 9 (1) ◽  
pp. 40 ◽  
Author(s):  
Robinson Ramírez-Vélez ◽  
Jorge Correa-Bautista ◽  
Katherine González-Ruíz ◽  
Andrés Vivas ◽  
Héctor Triana-Reina ◽  
...  

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 ◽  
...  

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