Development and validation of an equation to estimate body fat in elderly women
Resumen
The purpose of this present study was to develop and validate a prediction equation for body composition assessment using anthropometric measures of elderly women. This is cross-sectional correlational study with 243 older women ± 64.5 years old and body mass index (BMI) ± 28.70 kg/m². For the development of the equation it was utilized the method of hold-out sample validation. The participants were randomly divided into equation development group (96 elderly women) and a group for validation (147 elderly women). Total body mass, height, waist and hip circumferences, ratio waist-hip ratio and BMI were measured. The whole-body dual-energy X-ray absorptiometry (DXA) assessed body composition (percentage of body fat, fat mass, and fat-free mass). The equations were developed using multiple linear regression, with validation by the stepwise method; the comparison of the equations was analyzed by the paired Student's t test and the analysis of residual scores by the method of Blant and Altman. The New Equation presents a strong correlation (R = 0.83) and (R² = 0.69), and a standard error of estimation equals to 3.21% for percentage body fat prediction. The mean difference between the estimations of percentage body fat from DXA and the New Equation was 0.11% (t(0,180); P = 0.850). Therefore, the New Equation had an accuracy of 93.5% and a total error of 1.8%. The body fat estimation in older women using this New Equation based on BMI and age is valid and accurate.
Citas
Santanasto AJ, Goodpaster BH, Kritchevsky SB, Miljkovic I, Satterfield S, Schwartz AV, et al. Body composition remodeling and mortality: the health aging and body composition study. J Gerontol A Biol Sci Med Sci 2017;72(4):513–9.
Chang S-H, Beason TS, Hunleth JM, Colditz GA. A systematic review of body fat distribution and mortality in older people. Maturitas 2012;72(3):175–91.
Fantin F, Francesco V Di, Fontana G, Zivelonghi A, Bissoli L, Zoico E, et al. Longitudinal body composition changes in old men and women: interrelationships with worsening disability. J Gerontol A Biol Sci Med Sci 2007;62A(12):1375–81.
Goodpaster BH, Krishnaswami S, Resnick H, Kelley DE, Haggerty C, Harris TB, et al. Association between regional adipose tissue distribution and both type 2 diabetes and impaired glucose tolerance in elderly men and women. Diabetes Care 2003;26(2).
Newman AB, Yanez D, Harris T, Duxbury A. Weight change in old age and its association with mortality. J Am Geriatr Soc 2001;1309–18.
Miller SL, Wolfe RR. The danger of weight loss in the elderly. J Nutr Health Aging 2008;12(7):487–91.
Lee CG, Boyko EJ, Nielson CM, Stefanick ML, Bauer DC, Hoffman AR, et al. Mortality risk in older men associated with changes in weight, lean mass, and fat mass. J Am Geriatr Soc 2011;59(2):233–40.
Aniteli T, Florindo A, Pereira R, Martini L. Desenvolvimento de equação para estimativa da gordura corporal de mulheres idosas com osteoporose e osteopenia através da espessura de dobras cutâneas tendo como referência absorciometria por dupla emissão de raios X. Rev Bras Med Esporte 2006;12(6):366–70.
Deurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br J Nutr 1991;65(2):105-114.
Dupler TL, Tolson H. Body composition prediction equations for elderly men. J Gerontol A Biol Sci Med Sci 2000;55(3):180–4.
Tran ZV, Weltman A. Generalized equation for predicting body density of women from girth measurements. Med Sci Sports Exerc 1989;21(1):101-104.
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