Literature DB >> 19922056

Measurement of body composition in 8-10-year-old African-American girls: a comparison of dual-energy X-ray absorptiometry and foot-to-foot bioimpedance methods.

Barbara S McClanahan1, Michelle B Stockton, Jennifer Q Lanctot, George Relyea, Robert C Klesges, Deborah L Slawson, Leslie P Schilling.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate body composition outcomes of foot-to-foot (FF) bioelectrical impedance (BIA) and dual-energy x-ray (DEXA) in 8 to 10-year-old African-American girls and, if different, to develop and cross-validate specific BIA prediction equations for this at-risk group.
METHODS: DEXA and FF-BIA body composition outcomes were analyzed in 183, 8-10-year-old African-American girls from the Memphis site of the Girls health Enrichment Multi-site Study (GEMS).
RESULTS: Mean body composition outcomes by FF-BIA and DEXA were significantly different (p<0.0001); therefore, population-specific equations were developed and cross-validated using split-sample, cross-validation methods. When equations were used, BIA and DEXA outcomes were significantly correlated (percent body fat [r=0.931], fat mass [r=0.985], and fat-free mass [r=0.944]). Mean predicted BIA measurements for body fat, fat mass, and fat-free mass were essentially equal to their counterpart DEXA measurements (t[182]=- 0.013, p = 0.897, t[182]=- 0.06, p=0.956, and t[182]=- 0.26, p=0.792, respectively). The Bland-Altman analysis revealed a significant slope for percent fat (p=0.009) and slopes approaching significance for fat mass (p=0.07) and fat-free mass (p=0.06).
CONCLUSION: Although FF-BIA and DEXA are not directly interchangeable in young African-American girls, these equations accurately estimated average percent fat, fat mass, and fat-free mass of the cross-validation sample of African-American girls. However, the application of this equation may result in potential underestimation or overestimation of fat with respect to DEXA measures in some populations.

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Year:  2009        PMID: 19922056     DOI: 10.3109/17477160902763358

Source DB:  PubMed          Journal:  Int J Pediatr Obes        ISSN: 1747-7166


  7 in total

1.  Ethnic variation in body composition assessment in a sample of adolescent girls.

Authors:  Katie A Meyer; Sarah Friend; Peter J Hannan; John H Himes; Ellen W Demerath; Dianne Neumark-Sztainer
Journal:  Int J Pediatr Obes       Date:  2011-07-12

2.  Validity assessment of a portable bioimpedance scale to estimate body fat percentage in white and African-American children and adolescents.

Authors:  T V Barreira; A E Staiano; P T Katzmarzyk
Journal:  Pediatr Obes       Date:  2012-12-13       Impact factor: 4.000

3.  Validity of Four Commercial Bioelectrical Impedance Scales in Measuring Body Fat among Chinese Children and Adolescents.

Authors:  Lin Wang; Stanley Sai-Chuen Hui
Journal:  Biomed Res Int       Date:  2015-06-08       Impact factor: 3.411

4.  The Tanita SC-240 to Assess Body Composition in Pre-School Children: An Evaluation against the Three Component Model.

Authors:  Christine Delisle Nyström; Pontus Henriksson; Christina Alexandrou; Marie Löf
Journal:  Nutrients       Date:  2016-06-16       Impact factor: 5.717

5.  Influence of weight status on bone mineral content measured by DXA in children.

Authors:  Francisco Sánchez Ferrer; Ernesto Cortes Castell; Francisco Carratalá Marco; Mercedes Juste Ruiz; José Antonio Quesada Rico; Ana Pilar Nso Roca
Journal:  BMC Pediatr       Date:  2021-04-20       Impact factor: 2.125

6.  Development of bioelectrical impedance-based equations for the prediction of body composition of Malawian adolescents aged 10-18 years: a cross-sectional study.

Authors:  Oscar Henry Divala; Queen Mwakhwawa; Madalitso Makawa Phiri; Victor Owino; Khalid El Kari; Kenneth Mphatso Maleta
Journal:  BMJ Open       Date:  2022-04-04       Impact factor: 2.692

7.  A randomized controlled trial of long term effect of BCM guided fluid management in MHD patients (BOCOMO study): rationales and study design.

Authors:  Li Liu; Gang Long; Jianwei Ren; Jijun Li; Jinsheng Xu; Jinghong Lei; Mao Li; Moyan Qiu; Ping Yuan; Weiming Sun; Shan Lin; Wenjun Liu; Yi Sun; Yingchun Ma; Yonghui Mao; Yulan Shen; Li Zuo
Journal:  BMC Nephrol       Date:  2012-09-25       Impact factor: 2.388

  7 in total

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