J Stevens1, J Cai, K P Truesdale, L Cuttler, T N Robinson, A L Roberts. 1. Department of Nutrition, School of Public Health, University of North Carolina, Chapel Hill, NC, USA; Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC, USA.
Abstract
BACKGROUND: Percent body fat equations are usually developed in specific populations and have low generalizability. OBJECTIVES: To use a nationally representative sample of the American youth population (8-17 years old) from the 1999-2004 National Health and Nutrition Examination Survey data to develop gender-specific percent body fat equations. METHODS: Percent body fat equations were developed for girls and boys using information on weight, height, waist circumference, triceps skin-folds, age, race/ethnicity and menses status compared to dual-emission X-ray absorptiometry. Terms were selected using forward and backward selection in regression models in a 2/3 development sample and were cross-validated in the remaining sample. Final coefficients were estimated in the full sample. RESULTS: Final equations included ten terms in girls and eight terms in boys including interactions with age and race/ethnicity. In the cross-validation sample, the adjusted R2 was 0.818 and the root mean squared error was 2.758 in girls. Comparable estimates in boys were 0.893 and 2.525. Systematic bias was not detected in the estimates by race/ethnicity or by body mass index categories. CONCLUSION: Gender-specific percent body fat equations were developed in youth with a strong potential for generalizability and utilization by other investigators studying adiposity-related issues in youth.
BACKGROUND: Percent body fat equations are usually developed in specific populations and have low generalizability. OBJECTIVES: To use a nationally representative sample of the American youth population (8-17 years old) from the 1999-2004 National Health and Nutrition Examination Survey data to develop gender-specific percent body fat equations. METHODS: Percent body fat equations were developed for girls and boys using information on weight, height, waist circumference, triceps skin-folds, age, race/ethnicity and menses status compared to dual-emission X-ray absorptiometry. Terms were selected using forward and backward selection in regression models in a 2/3 development sample and were cross-validated in the remaining sample. Final coefficients were estimated in the full sample. RESULTS: Final equations included ten terms in girls and eight terms in boys including interactions with age and race/ethnicity. In the cross-validation sample, the adjusted R2 was 0.818 and the root mean squared error was 2.758 in girls. Comparable estimates in boys were 0.893 and 2.525. Systematic bias was not detected in the estimates by race/ethnicity or by body mass index categories. CONCLUSION: Gender-specific percent body fat equations were developed in youth with a strong potential for generalizability and utilization by other investigators studying adiposity-related issues in youth.
Authors: June Stevens; Chirayath Suchindran; Kim Ring; Christopher D Baggett; Jared B Jobe; Mary Story; Janice Thompson; Scott B Going; Benjamin Caballero Journal: Obes Res Date: 2004-12
Authors: Dale A Schoeller; Frances A Tylavsky; David J Baer; William C Chumlea; Carrie P Earthman; Thomas Fuerst; Tamara B Harris; Steven B Heymsfield; Mary Horlick; Timothy G Lohman; Henry C Lukaski; John Shepherd; Roger M Siervogel; Lori G Borrud Journal: Am J Clin Nutr Date: 2005-05 Impact factor: 7.045
Authors: June Stevens; David M Murray; Chris D Baggett; John P Elder; Timothy G Lohman; Leslie A Lytle; Russell R Pate; Charlotte A Pratt; Margarita S Treuth; Larry S Webber; Deborah R Young Journal: Am J Epidemiol Date: 2007-09-12 Impact factor: 4.897
Authors: J R Fernández; M Bohan Brown; M López-Alarcón; J A Dawson; F Guo; D T Redden; D B Allison Journal: Pediatr Obes Date: 2016-06-08 Impact factor: 4.000
Authors: Matheus S Cerqueira; Paulo R S Amorim; Irismar G A Encarnação; Leonardo M T Rezende; Paulo H R F Almeida; Analiza M Silva; Manuel Sillero-Quintana; Diego A S Silva; Fernanda K Santos; João C B Marins Journal: Eat Weight Disord Date: 2022-06-14 Impact factor: 3.008
Authors: Thomas N Robinson; Donna Matheson; Darrell M Wilson; Dana L Weintraub; Jorge A Banda; Arianna McClain; Lee M Sanders; William L Haskell; K Farish Haydel; Kristopher I Kapphahn; Charlotte Pratt; Kimberly P Truesdale; June Stevens; Manisha Desai Journal: Lancet Diabetes Endocrinol Date: 2021-04-29 Impact factor: 44.867
Authors: Mohammed T Hudda; Mary S Fewtrell; Dalia Haroun; Sooky Lum; Jane E Williams; Jonathan C K Wells; Richard D Riley; Christopher G Owen; Derek G Cook; Alicja R Rudnicka; Peter H Whincup; Claire M Nightingale Journal: BMJ Date: 2019-07-24
Authors: Mohammed T Hudda; Jonathan C K Wells; Linda S Adair; Jose R A Alvero-Cruz; Maxine N Ashby-Thompson; Martha N Ballesteros-Vásquez; Jesus Barrera-Exposito; Benjamin Caballero; Elvis A Carnero; Geoff J Cleghorn; Peter S W Davies; Malgorzata Desmond; Delan Devakumar; Dympna Gallagher; Elvia V Guerrero-Alcocer; Ferdinand Haschke; Mary Horlick; Houda Ben Jemaa; Ashraful I Khan; Amani Mankai; Makama A Monyeki; Hilde L Nashandi; Luis Ortiz-Hernandez; Guy Plasqui; Felipe F Reichert; Alma E Robles-Sardin; Elaine Rush; Roman J Shypailo; Jakub G Sobiecki; Gill A Ten Hoor; Jesús Valdés; V Pujitha Wickramasinghe; William W Wong; Richard D Riley; Christopher G Owen; Peter H Whincup; Claire M Nightingale Journal: BMJ Date: 2022-09-21