Going S, Nichols J, Loftin M, Stewart D, Lohman T, Tuuri G, Ring K, Pickrel J, Blew R
Department of Nutritional Sciences, The University of Arizona, Tucson, AZ.
Int J Body Compos Res. 2006;4(4):161-167.
Equations for estimating % fat mass (%BF) and fat-free mass (FFM) from bioelectrical impedance analysis (BIA) that work in adolescent girls from different racial/ethnic backgrounds are not available. We investigated whether race/ethnicity influences estimation of body composition in adolescent girls. PRINCIPAL PROCEDURES: Prediction equations were developed for estimating FFM and %BF from BIA in 166 girls, 10-15 years old, consisting of 51 Black (B), 45 non-Black Hispanic (H), 55 non-Hispanic White (W) and 15 mixed (M) race/ethnicity girls, using dual energy x-ray absorptiometry (DXA) as the criterion method. FINDINGS: Black girls had similar %BF compared to other groups, yet were heavier per unit of height according to body mass index (BMI: kg.m(-2)) due to significantly greater FFM. BIA resistance index, age, weight and race/ethnicity were all significant predictors of FFM (R(2) = 0.92, SEE = 1.81 kg). Standardized regression coefficients showed resistance index (0.63) and weight (0.34) were the most important predictors of FFM. Errors in %BF (2%) and FFM (1.0 kg) were greater when race/ethnicity was not included in the equation, particularly in Black girls. We conclude the BIA-composition relationship in adolescent girls is influenced by race, and consequently have developed new BIA equations for adolescent girls for predicting FFM and %BF.
目前尚无适用于不同种族/族裔背景青春期女孩的通过生物电阻抗分析(BIA)估算体脂质量百分比(%BF)和去脂体重(FFM)的方程。我们研究了种族/族裔是否会影响青春期女孩身体成分的估算。主要方法:采用双能X线吸收法(DXA)作为标准方法,为166名10至15岁的女孩建立了通过BIA估算FFM和%BF的预测方程,这些女孩包括51名黑人(B)、45名非黑人西班牙裔(H)、55名非西班牙裔白人(W)和15名混血(M)种族/族裔女孩。研究结果:与其他组相比,黑人女孩的%BF相似,但根据体重指数(BMI:kg·m⁻²),由于FFM显著更高,她们每单位身高的体重更重。BIA电阻指数、年龄、体重和种族/族裔都是FFM的显著预测因素(R² = 0.92,标准误 = 1.81 kg)。标准化回归系数显示电阻指数(0.63)和体重(0.34)是FFM最重要的预测因素。当方程中不包括种族/族裔时,%BF(约2%)和FFM(约1.0 kg)的误差更大,尤其是在黑人女孩中。我们得出结论,青春期女孩中BIA与身体成分的关系受种族影响,因此我们为青春期女孩开发了新的BIA方程来预测FFM和%BF。