Literature DB >> 12399269

Prediction of body fat in 12-y-old African American and white children: evaluation of methods.

George A Bray1, James P DeLany, Julia Volaufova, David W Harsha, Catherine Champagne.   

Abstract

BACKGROUND: The prevalence of obesity is increasing in children. Validation of methods of predicting fatness in African American and white children could help to identify children at high risk.
OBJECTIVE: We assessed published methods for determining body fat in 12-y-old male and female white and African American schoolchildren.
DESIGN: The body fat of 114 children was measured with the use of dual-energy X-ray absorptiometry, underwater weighing (densitometry), measurement of skinfold thicknesses, isotope dilution (H(2)(18)O), and bioelectrical impedance analysis. Formulas derived from these data and from published reports were compared by using the Bland-Altman approach.
RESULTS: Calculation of percentage of body fat by using an equation predicting body fat in kg and dividing by the current weight was the criterion method against which the other methods were compared. Four-compartment models had the smallest variability across the range of body fat, and 2 of these models differed from the criterion method by 1-2%. Six methods (the Pennington 4-compartment model, the Wells et al 4-compartment model, the isotope dilution model, dual-energy X-ray absorptiometry, the Pennington skinfold thickness model, and the Pennington density model) provided specificity > 90%, an estimate of body fat that was within the 95% CI of the criterion method, and a difference from the criterion method that was < +/- 2%. Bioelectrical impedance analysis was the least acceptable method.
CONCLUSIONS: A 4-compartment model in which body fat in kg is divided by current body weight and multiplied by 100 provides the best estimate of percentage of body fat. The isotope dilution and body density models provide estimates within 2% of the estimate provided by the 4-compartment model. Other models do less well.

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Year:  2002        PMID: 12399269     DOI: 10.1093/ajcn/76.5.980

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  35 in total

1.  Comparison of two bioelectrical impedance analysis instruments for determining body composition in adolescent girls.

Authors:  J Nichols; S Going; M Loftin; D Stewart; E Nowicki; J Pickrel
Journal:  Int J Body Compos Res       Date:  2006

2.  Comparison of the validity of anthropometric and bioelectric impedance equations to assess body composition in adolescent girls.

Authors:  M Loftin; J Nichols; S Going; M Sothern; K H Schmitz; K Ring; G Tuuri; J Stevens
Journal:  Int J Body Compos Res       Date:  2007

3.  Relation of body mass index and skinfold thicknesses to cardiovascular disease risk factors in children: the Bogalusa Heart Study.

Authors:  David S Freedman; Peter T Katzmarzyk; William H Dietz; Sathanur R Srinivasan; Gerald S Berenson
Journal:  Am J Clin Nutr       Date:  2009-05-06       Impact factor: 7.045

4.  Evaluating the contribution of differences in lean mass compartments for resting energy expenditure in African American and Caucasian American children.

Authors:  M M Broadney; F Shareef; S E Marwitz; S M Brady; S Z Yanovski; J P DeLany; J A Yanovski
Journal:  Pediatr Obes       Date:  2018-04-26       Impact factor: 4.000

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

Authors:  S Going; J Nichols; M Loftin; D Stewart; T Lohman; G Tuuri; K Ring; J Pickrel; R Blew
Journal:  Int J Body Compos Res       Date:  2006

6.  Genome-wide analysis of copy number variations reveals that aging processes influence body fat distribution in Korea Associated Resource (KARE) cohorts.

Authors:  Bo-Young Lee; Dong Hyun Shin; Seoae Cho; Kang-Seok Seo; Heebal Kim
Journal:  Hum Genet       Date:  2012-07-24       Impact factor: 4.132

7.  Determination of body size measures and blood pressure levels among children.

Authors:  David S Freedman
Journal:  J Pediatr (Rio J)       Date:  2013-05-01       Impact factor: 2.197

8.  Evaluation of simple body composition methods: assessment of validity in prepubertal Chilean children.

Authors:  C A Aguirre; G D C Salazar; D V Lopez de Romaña; J A Kain; C L Corvalán; R E Uauy
Journal:  Eur J Clin Nutr       Date:  2014-08-06       Impact factor: 4.016

9.  Anthropometric indicators as predictors of total body fat and cardiometabolic risk factors in Chilean children at 4, 7 and 10 years of age.

Authors:  F D Vásquez; C L Corvalán; R E Uauy; J A Kain
Journal:  Eur J Clin Nutr       Date:  2016-11-09       Impact factor: 4.016

10.  Weight changes in children in foster care for 1 year.

Authors:  Janet U Schneiderman; Caitlin Smith; Janet S Arnold-Clark; Jorge Fuentes; Lei Duan
Journal:  Child Abuse Negl       Date:  2013-03-15
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