Evaluation of the body adiposity index against dual‐energy X‐ray absorptiometry for assessing body composition in children and adolescents
T de Macêdo Cesário… - American Journal of …, 2021 - Wiley Online Library
American Journal of Human Biology, 2021•Wiley Online Library
Background It is important to clarify the association of lean and fat mass between children
and adolescents considering the rising prevalence of overweight and obesity in this age
group. The aim of this study was to verify the association between the body adiposity index
(BAI) and dual‐energy X‐ray absorptiometry (DXA) methods for analyzing body
composition, as well as analyzing the validity of BAI to verify the percentage of fat in children
and adolescents. Methods The sample was composed of 106 children and adolescents, 44 …
and adolescents considering the rising prevalence of overweight and obesity in this age
group. The aim of this study was to verify the association between the body adiposity index
(BAI) and dual‐energy X‐ray absorptiometry (DXA) methods for analyzing body
composition, as well as analyzing the validity of BAI to verify the percentage of fat in children
and adolescents. Methods The sample was composed of 106 children and adolescents, 44 …
Background
It is important to clarify the association of lean and fat mass between children and adolescents considering the rising prevalence of overweight and obesity in this age group. The aim of this study was to verify the association between the body adiposity index (BAI) and dual‐energy X‐ray absorptiometry (DXA) methods for analyzing body composition, as well as analyzing the validity of BAI to verify the percentage of fat in children and adolescents.
Methods
The sample was composed of 106 children and adolescents, 44 females (age: 11.5 ± 1.8 years) and 62 evils (13.6 ± 2.6 years). The body fat (%F) was measured using DXA and the doubly indirect BAI body fat estimation technique.
Results
The BAI and DXA estimates of %F were strongly correlated (boys: r = .71, P < .0001; girls: r = .72, P < .0001). The linear regression analyses showed that BAI is significant to estimate the %F in total sample (P < .0001). For boys, the %F analyzes performed by BAI and DXA did not show any differences when compared (P = .2). In addition, BAI pointed out a significant proportion bias for both sexes (P < .0001), which suggests its inefficiency in the analysis of %F.
Conclusions
BAI and DXA correlate; however, there is low reliability and a high proportion bias for the analysis of %F by BAI.
Wiley Online Library以上显示的是最相近的搜索结果。 查看全部搜索结果