Courville Amber B, Yang Shanna B, Andrus Sarah, Hayat Nosheen, Kuemmerle Anneliese, Leahy Elizabeth, Briker Sara, Zambell Kirsten, Chung Stephanie, Sumner Anne E
National Institutes of Health, Clinical Center, Nutrition Department, Bethesda, Maryland, USA.
National Institutes of Health, Clinical Center, Nutrition Department, Bethesda, Maryland, USA.
Nutrition. 2020 Jun;74:110733. doi: 10.1016/j.nut.2020.110733. Epub 2020 Jan 18.
The prevalence of cardiometabolic disease has risen in Africa and parallels the obesity epidemic. To assess cardiometabolic risk, body composition measurements by dual-energy X-ray absorptiometry (DXA) are ideal. In communities with limited resources, alternative measures may be useful but have not been compared extensively in black Africans. Therefore, the aim of this study was to identify alternative methods of body composition assessment, such as body adiposity index (BAI) and bioelectrical impedance analysis (BIA), for use in African-born blacks.
This was a cross-sectional study with African-born blacks. BAI and five BIA predictive equations (using variations of height, weight, age, sex, and impedance) were compared with DXA to estimate percent fat. Participants were 266 African-born blacks (39 ± 10 y, body mass index 28 ± 4 kg/m, and 68% men) living in metropolitan Washington DC. Equivalence (90% confidence interval, -3 to 3), concordance, and Bland-Altman analyses (bias <2%, R closest to zero) compared BAI or BIA predictive equations to DXA as the criterion method.
DXA percent fat was 27.2% ± 5.5% and 40.3% ± 6.9% in men and women, respectively. BAI underestimated percent fat in men (bias: 1.88 ± 4.71, R = 0.25, P < 0.001) and women (bias: 6.47 ± 4.94, R = 0.08, P = 0.01). Of the five BIA predictive equations, the equation reported by Sun et al. had the best agreement with DXA percent fat for men (bias: -0.91 ± 3.67, R = 0.02, P = 0.05) and women (bias: -0.92 ± 4.02, R = 0.003, P = 0.58). Percent fat from the Sun et al. equation best agreed with DXA percent fat.
BIA with the Sun et al. predictive equation was the best alternative to DXA for body fat assessment in African-born blacks.
非洲人群中心血管代谢疾病的患病率呈上升趋势，且与肥胖流行情况相似。通过双能X线吸收法（DXA）测量身体成分是评估心血管代谢风险的理想方法。在资源有限的社区，采用其他测量方法可能会有所帮助，但尚未在非洲黑人中进行广泛比较。因此，本研究旨在确定适用于非洲出生黑人的身体成分评估替代方法，如身体肥胖指数（BAI）和生物电阻抗分析（BIA）。
这是一项针对非洲出生黑人的横断面研究。将BAI和五个BIA预测方程（使用身高、体重、年龄、性别和阻抗的不同组合）与DXA进行比较，以估计体脂百分比。研究对象为居住在华盛顿特区大都市地区的266名非洲出生黑人（年龄39±10岁，体重指数28±4kg/m²，男性占68%）。采用等效性分析（90%置信区间，-3至3）、一致性分析以及Bland-Altman分析（偏差<2%，R最接近零），将BAI或BIA预测方程与作为标准方法的DXA进行比较。
男性和女性的DXA体脂百分比分别为27.2%±5.5%和40.3%±6.9%。BAI在男性（偏差：1.88±4.71，R = 0.25，P < 0.001）和女性（偏差：6.47±4.94，R = 0.08，P = 0.01）中均低估了体脂百分比。在五个BIA预测方程中，Sun等人报告的方程与男性（偏差：-0.91±3.67，R = 0.02，P = 0.05）和女性（偏差：-0.92±4.02，R = 0.003，P = 0.58）的DXA体脂百分比一致性最佳。Sun等人方程得出的体脂百分比与DXA体脂百分比最为吻合。
对于非洲出生黑人的体脂评估，采用Sun等人预测方程的BIA是DXA的最佳替代方法。
