Abstract
Objective: to apply a regression equation to estimate the percentage of body fat in older adults. Method: Descriptive, prospective, cross-sectional and correlational study. Sample of 553 older adults, 28.0% of men and 72.0% of women; variables: sex, age, weight, height, WC, BMI, BFPD and BFPR. Results: mean age and similar BMI by sex; weight, height, higher WC in men and higher BFPD and BF´PR in women; weight, height, and BMI decrease with age. Percentage of similar overweight by sex, according to BMI and only in women according to BFPR, the latter associated with hypertension, diabetes mellitus, osteoporosis and neuropsychiatric diseases. The values estimated by the BFPR equation are normally distributed, and the Logistic Regression reveals that the model based on the variables BMI, WC and sex, is reliable, with high sensitivity and specificity, which demonstrates high discriminative power. Conclusion: the equation to estimate the percentage of body fat by regression may be useful to estimate risk in older adults.
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