Document Detail


Predicting fat percent by skinfolds in racial groups: Durnin and Womersley revisited.
MedLine Citation:
PMID:  20689462     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: Despite their widespread use in research and fitness settings, Durnin and Womersley's (DW) 1974 prediction equations using skinfold thickness to estimate body fat percent by hydrodensitometry have not been systematically evaluated in racial or ethnic groups using body fat percent measured by dual-energy x-ray absorptiometry (%BF(DXA)) as the standard.
METHODS: This cross-sectional, population-based study examined whether the DW skinfold equations predict %BF(DXA) in a large, multiracial sample. Four skinfold measures (biceps, triceps, subscapular, and suprailiac), other clinical anthropometrics, and %BF(DXA) were obtained from 1675 healthy adults, age 18-110 yr, who were classified into four racial or ethnic categories: Caucasian, African American, Hispanic, or Asian. Predicted body fat percent using DW equations was compared with %BF(DXA) and evaluated within race/ethnicity- and sex-specific groups.
RESULTS: Mean body fat percent predicted by DW equations was significantly different from %BF(DXA) in four of eight race/ethnicity- and sex-specific groups, particularly in Asian women and African American men (3.3 and 2.4 percentage point overestimates, respectively, P < 0.0001). New linear regression equations were developed estimating %BF(DXA) specific to each race/ethnicity and sex group, using the original DW skinfold sites. Body weight, height, and waist circumference independently predicted fat percent and were also included in the new equations.
CONCLUSIONS: The 1974 DW equations did not predict %BF(DXA) uniformly in all races or ethnicities. Using %BF(DXA) as the criterion measure, the original DW skinfold equations have been updated specific to sex and race/ethnicity while maintaining the DW options for a minimalistic model using fewer predictors.
Authors:
Lance E Davidson; Jack Wang; John C Thornton; Zafar Kaleem; Federico Silva-Palacios; Richard N Pierson; Steven B Heymsfield; Dympna Gallagher
Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Medicine and science in sports and exercise     Volume:  43     ISSN:  1530-0315     ISO Abbreviation:  Med Sci Sports Exerc     Publication Date:  2011 Mar 
Date Detail:
Created Date:  2011-02-17     Completed Date:  2011-07-08     Revised Date:  2012-03-22    
Medline Journal Info:
Nlm Unique ID:  8005433     Medline TA:  Med Sci Sports Exerc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  542-9     Citation Subset:  IM; S    
Affiliation:
New York Obesity Nutrition Research Center, St. Luke's-Roosevelt Hospital, Columbia University, New York, NY, USA. lance.davidson@utah.edu
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MeSH Terms
Descriptor/Qualifier:
Absorptiometry, Photon
Adiposity*
Adult
Aged
Aged, 80 and over
Body Mass Index
Continental Population Groups*
Cross-Sectional Studies
Female
Humans
Male
Middle Aged
Models, Biological
Skinfold Thickness*
Waist Circumference
Grant Support
ID/Acronym/Agency:
KL2 RR024157-05/RR/NCRR NIH HHS; P01 DK042618-15/DK/NIDDK NIH HHS; P01-DK42618/DK/NIDDK NIH HHS; P30 DK026687-31/DK/NIDDK NIH HHS; P30-DK26687/DK/NIDDK NIH HHS; R01 DK037352-12/DK/NIDDK NIH HHS; R01-DK37352/DK/NIDDK NIH HHS; R29 AG014715-05/AG/NIA NIH HHS; R29-AG14715/AG/NIA NIH HHS; RR024157/RR/NCRR NIH HHS; T32 DK007559-19/DK/NIDDK NIH HHS; T32-DK007559/DK/NIDDK NIH HHS
Comments/Corrections
Comment In:
Med Sci Sports Exerc. 2011 Aug;43(8):1598; author reply 1599   [PMID:  21765315 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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