Literature DB >> 11460870

Assessing the body composition of 6-17-year-old Black and White girls in field studies.

J A Morrison1, S S Guo, B Specker, W C Chumlea, S Z Yanovski, J A Yanovski.   

Abstract

The purpose of the study was to develop ethnic-specific equations for fat-free mass (FFM) from selected anthropometric dimensions and bioelectrical impedance measures of resistance (R) and reactance (Xc) for use in the NHLBI Growth and Heath Study. Using dual-energy X-ray absorptiometry measures of body composition as the dependent variable and field measures of body composition by anthropometry and bioelectrical impedance as the explanatory variables, ethnic-specific prediction equations were developed on a sample of girls representing a wide range of ages and BMI. The equations were cross-validated using (1) the Prediction of Sum of Squares (PRESS) statistic and (2) an independent sample of 20 girls of each race from a study conducted at the National Institute of Child Health and Human Development (NICHD). Subjects were 65 White and 61 Black girls 6-17 years of age. The best race-specific equations for FFM each explained 99% and 97% of the variance in the White and Black girls, respectively. Root mean square errors (RMSE) ranged from 1.14 to 1.95 kg. The equation for Black girls used Stature2/Resistance (R), weight, and reactance (Xc) as predictor variables; the equation for White girls used Stature2/R, weight, and triceps skinfold thickness. The results indicate that (1) equations to predict FFM in girls should be ethnic-specific and that (2) accurate values for TBF and %BF can be calculated from the predicted FFM.

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Year:  2001        PMID: 11460870     DOI: 10.1002/1520-6300(200102/03)13:2<249::AID-AJHB1035>3.0.CO;2-6

Source DB:  PubMed          Journal:  Am J Hum Biol        ISSN: 1042-0533            Impact factor:   1.937


  12 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.  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

4.  Childhood overweight and cardiovascular disease risk factors: the National Heart, Lung, and Blood Institute Growth and Health Study.

Authors:  Douglas R Thompson; Eva Obarzanek; Debra L Franko; Bruce A Barton; John Morrison; Frank M Biro; Stephen R Daniels; Ruth H Striegel-Moore
Journal:  J Pediatr       Date:  2007-01       Impact factor: 4.406

5.  Body mass index and waist-to-height changes during teen years in girls are influenced by childhood body mass index.

Authors:  Frank M Biro; Bin Huang; John A Morrison; Paul S Horn; Steven R Daniels
Journal:  J Adolesc Health       Date:  2009-08-18       Impact factor: 5.012

6.  Prediction of body-fat percentage from skinfold and bio-impedance measurements in Indian school children.

Authors:  S H Kehoe; G V Krishnaveni; H G Lubree; A K Wills; A M Guntupalli; S R Veena; D S Bhat; R Kishore; C H D Fall; C S Yajnik; A Kurpad
Journal:  Eur J Clin Nutr       Date:  2011-07-06       Impact factor: 4.016

7.  Longitudinal changes in HDL-cholesterol concentration are associated with different risk factors in primiparous and nulliparous young women: The NHLBI Growth and Health Study (NGHS).

Authors:  Laura A Woollett; Elaine M Urbina; Jessica G Woo
Journal:  J Clin Lipidol       Date:  2021-03-17       Impact factor: 4.766

8.  Resting Energy Expenditure and Related Factors in 6- to 9-Year-Old Southern African Children of Diverse Population Groups.

Authors:  Adeline Pretorius; Paola Wood; Piet Becker; Friedeburg Wenhold
Journal:  Nutrients       Date:  2021-06-09       Impact factor: 5.717

9.  The multicomponent anthropometric model for assessing body composition in a male pediatric population: a simultaneous prediction of fat mass, bone mineral content, and lean soft tissue.

Authors:  Dalmo Machado; Sérgio Oikawa; Valdir Barbanti
Journal:  J Obes       Date:  2013-03-11

Review 10.  A PRISMA-driven systematic review of predictive equations for assessing fat and fat-free mass in healthy children and adolescents using multicomponent molecular models as the reference method.

Authors:  Analiza M Silva; David A Fields; Luís B Sardinha
Journal:  J Obes       Date:  2013-06-06
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