External Validation of Equations that Use Demographic and Anthropometric Measurements to Predict Percent Body Fat

Autor: June Stevens, Cora E. Lewis, Stefan A. Czerwinski, Audrey C. Choh, Jianwen Cai, K. R. Reynolds
Rok vydání: 2018
Předmět:
Zdroj: Obesity Science & Practice
Obesity Science & Practice, Vol 4, Iss 6, Pp 515-525 (2018)
ISSN: 2055-2238
Popis: Summary Objective Numerous equation to predict percent body fat using demographics and anthropometrics have been published but external validation of these equations is limited. The objective of this study was to validate published equations that use anthropometrics for prediction of percent body fat using external data. Methods Data were from the Visceral Fat, Metabolic Rate, and Coronary Heart Disease Risk I (VIM I) Study and the Fels Longitudinal Study (Fels). VIM I was conducted in a subset of subjects from the CARDIA study and included black and white adults 28–40 years (n = 392). Fels consisted of white participants 8–88 years (n = 1,044). Percent body fat assessed by dual X‐ray absorptiometry (DXA) in these two studies was compared to results calculated using 13 equations from Stevens et al. and nine other published equations. Results In general, the Stevens equations performed better than equations from other studies. For example, equation “I“ in women in VIM I, Fels adults, and Fels youth, R2 estimates were 0.765, 0.757 and 0.789, respectively. In men the estimates were 0.702 in VIM I, 0.822 in Fels adults and 0.905 in Fels youth. None of the results from the nine published equations showed R2 this high in corresponding groups. Conclusions Our results indicate that several of the Stevens equations have external validity superior to that of nine other published equations among varying age groups, genders and races.
Databáze: OpenAIRE
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