Composição corporal e antropometria de idosos:concordância entre métodos, desenvolvimento e validação de equações preditivas e pontos de corte

• Autor(a) principal: BARBOSA, Larissa Silva
• Data de Publicação: 2011
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tde/1515
• topic: Composição corporal; Idoso; Antropometria; Impedância elétrica; Absortometria por raio-X de dulpa energia; Estudos de Validação; Índice de massa corporal; Circunferência da cintura; Pregas cutâneas; 1.Composição corporal; 2.Antropometria; 3.Idosos; 4.Estudos de Validação; 5.Epidemiologia; Body composition; Aged; Anthropometry; Electric impedance; Dual-Energy X-Ray Absorptiometry; Validation studies; Body mass index; CNPQ::CIENCIAS DA SAUDE

The aim of this study was to assess body composition and anthropometry of the elderly with regard to agreement between methods, development and validation of predictive equations and cutoffs. We evaluated 132 elderly patients (52 men and 80 women) aged between 60 and 91 years, users of primary health care, not institutionalized and drawn at random in proportion to the nine health districts of Goiânia, GO. For collection of anthropometric measurements, bioelectrical impedance (BIA) and dual energy x-ray absorptiometry (DEXA), standardized procedures were used by trained examiners and equipment was calibrated regularly. Analyses were performed using STATA/SE. Descriptive analysis, tests for comparison of means, equation validation according to criteria suggested by Lohman, Bland-Altman and Lin graphic analysis and ROC (receiver operator characteristic curve) analysis were carried out. The project was approved by the Ethics Committee of the Federal University of Goias. The Durnin and Womersley equation showed the highest concordance correlation coefficient (CCC = 0.846) and the lowest mean differences (MD = - 2.335) for males. The equations of Lean et al. (for men) and Deurenberg et al. (for women) showed the highest correlation with and lowest mean differences from DEXA. Equations were proposed to estimate body fat percentage (BF%): (males: BF% = - 16.868 + 0.571TSF + 0.409WC and females: BF% = 8.634 + 0.601BMI + 0.321SISF + 0.234SSSF + 0.398TSF 0.467BSF). In both sexes, the equations are similar to DEXA in estimating BF% with high precision and accuracy. In males, the proposed body mass index (BMI) cutoff point was ≥ 25 kg/m2; the waist circumference (WC) cutoff point was ≥ 98.9 cm. In women, the BMI and WC values with the most sensitivity, specificity and accuracy were ≥ 26.6 kg/m2 and ≥ 90.5 cm. Since the currently available equations for predicting body composition of elderly have certain limitations, these newly developed and validated equations for the two sexes can be recommended for wide use. Accurate BMI and WC cutoff points for predicting BF% in older adults were also identified.