Generalized Equations for Estimating DXA Percent Fat of Diverse Young Women and Men | Zendy

Daniel P. O’Connor | Zendy; Molly S. Bray | Zendy; Brian K. McFarlin | Zendy; Mary H. Sailors | Zendy; Kenneth J. Ellis | Zendy; Andrew S. Jackson | Zendy

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Generalized Equations for Estimating DXA Percent Fat of Diverse Young Women and Men

Author(s) -

Daniel P. O’Connor,

Molly S. Bray,

Brian K. McFarlin,

Mary H. Sailors,

Kenneth J. Ellis,

Andrew S. Jackson

Publication year - 2010

Publication title -

medicine and science in sports and exercise

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.703

H-Index - 224

eISSN - 1530-0315

pISSN - 0195-9131

DOI - 10.1249/mss.0b013e3181dc2e71

Subject(s) - anthropometry , medicine , body mass index , demography , generalizability theory , ethnic group , generalized estimating equation , dual energy x ray absorptiometry , overweight , linear regression , body fat percentage , gerontology , statistics , mathematics , osteoporosis , bone mineral , sociology , anthropology

Popular generalized equations for estimating percent body fat (BF%) developed with cross-sectional data are biased when applied to racially/ethnically diverse populations. We developed accurate anthropometric models to estimate dual-energy x-ray absorptiometry BF% (DXA-BF%) that can be generalized to ethnically diverse young adults in both cross-sectional and longitudinal field settings.

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