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生物电阻抗分析(BIA)用于评估黑人、白人及西班牙裔青春期女孩身体成分的有效性验证。

Validation of bioelectrical impedance analysis (BIA) for estimation of body composition in Black, White and Hispanic adolescent girls.

作者信息

Going S, Nichols J, Loftin M, Stewart D, Lohman T, Tuuri G, Ring K, Pickrel J, Blew R

机构信息

Department of Nutritional Sciences, The University of Arizona, Tucson, AZ.

出版信息

Int J Body Compos Res. 2006;4(4):161-167.

Abstract

AIM

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.

摘要

目的

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。

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本文引用的文献

2
3
Design of the Trial of Activity in Adolescent Girls (TAAG).
Contemp Clin Trials. 2005 Apr;26(2):223-33. doi: 10.1016/j.cct.2004.12.011.
4
Prediction of body fat in 12-y-old African American and white children: evaluation of methods.
Am J Clin Nutr. 2002 Nov;76(5):980-90. doi: 10.1093/ajcn/76.5.980.
5
Assessing the body composition of 6-17-year-old Black and White girls in field studies.
Am J Hum Biol. 2001 Mar-Apr;13(2):249-54. doi: 10.1002/1520-6300(200102/03)13:2<249::AID-AJHB1035>3.0.CO;2-6.
6
7
Estimation of body fat from anthropometry and bioelectrical impedance in Native American children.
Int J Obes Relat Metab Disord. 2000 Aug;24(8):982-8. doi: 10.1038/sj.ijo.0801318.
10
Measures of body composition in blacks and whites: a comparative review.
Am J Clin Nutr. 2000 Jun;71(6):1392-402. doi: 10.1093/ajcn/71.6.1392.

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