Dual energy X-ray absorptiometry produces larger measurement error in non-Hispanic Caucasians than Hispanics.
Dual energy X-ray absorptiometry produces larger measurement error in non-Hispanic Caucasians than Hispanics.
复制标题
双能 X 射线吸收测定法在非西班牙裔白种人中产生的测量误差比西班牙裔人更大。
DOI:
10.1016/j.clnesp.2022.12.012
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发表时间:
2023
影响因子:
3
通讯作者:
Esco,MichaelR
中科院分区:
文献类型:
--
作者:
Nickerson,BrettS;Cicone,ZackaryS;Park,Kyung-Shin;Snarr,RonaldL;Fedewa,MichaelV;Esco,MichaelR
BackgroundDual energy X-ray absorptiometry (DXA) is often used as a criterion measure in body composition research and in clinical settings for the estimate of body fat percent (%Fat). The accuracy of DXA for predicting %Fat has primarily been conducted in non-Hispanic populations.AimThe purpose of this study was to determine the agreement of DXA-derived %Fat in Hispanic and non-Hispanic Caucasian adults.MethodsThe sample consisted of Hispanic males (n = 96) and females (n = 102) and non-Hispanic Caucasian males (n = 145) and females (n = 161). The %Fat of a whole-body DXA scan was compared against a criterion 4-compartment (4C) model via constant error (CE = DXA – 4C model) and 95% limits of agreement. Also, a 2 × 2 factorial ANOVA, using CE as a dependent variable, was conducted to examine the main and interaction effects of sex and ethnicity.ResultsWhen compared to the 4C model, DXA overestimated %Fat by 4.0% in Hispanics and 5.5% in non-Hispanic Caucasians (all p < 0.05). The 95% limits of agreement ranged from ±5.5% to ±5.9% for all group comparisons. The 2 × 2 factorial ANOVA indicated the CE was greater in non-Hispanic Caucasians than Hispanics (CE difference = 1.5%; p < 0.05).ConclusionOur findings revealed that DXA significantly overestimates %Fat in both populations (Hispanics and non-Hispanic Caucasians), when compared to a 4C model, regardless of sex (male or female). However, the error is more profound in non-Hispanic Caucasian adults. It is worth nothing that DXA may be useful for tracking changes in body composition that occur throughout a lifestyle intervention. Nonetheless, practitioners should be aware that the estimate of %Fat from DXA may be larger than the actual values obtained from a 4C model.