Abstract
ABSTRACT Objective To validate self-reported weight and height data for people living with HIV/AIDS. Methods This cross-sectional study involved 481 people living with HIV/AIDS seen at a reference unit in João Pessoa, state of Paraíba, Brazil, between September and December 2015, 99 (20.5%) of whom had their weight and height measured. The intraclass correlation coefficient was calculated to determine the relationship between the self-reported and measured weight, height and body mass index values, and linear regression analysis was used to generate equations to predict weight and height. It were significant p-value under 5% for statistic tests applied. Results In the sample with measured values, 57.6% of men, with a mean age of 44 years old and a mean income per capita equivalent to US$145.50, high correlations (r>0.90) between the self-reported and measured values for weight, height and body mass index were observed. The accuracy was 92.6%, and the Kappa coefficient was greater than 0.85. Women tended to underestimate weight and overestimate height. The men overestimated weight and underestimated height. The intraclass correlation coefficients were greater than 0.95. Conclusion The use of self-reported measures of weight, height and body mass index for nutritional assessment of people living with HIV/AIDS is valid and must be considered for similar populations when time and resources are limiting factors.
Highlights
Self-reported measures of weight and height have been increasingly used owing to their simplicity, low cost and speed, but bias that may occur according to the characteristics of the individuals [1,2,3,4,5,6]
The use of self-reported measures of weight, height and body mass index for nutritional assessment of people living with HIV/AIDS is valid and must be considered for similar populations when time and resources are limiting factors
The results show high correlations between self-reported and measured values [11,12,13], systematic errors may be identified according to sex, with underestimation of weight among women [13,14,15] and overestimation among men [10,12,13,16], establishing a trend where individuals change their measures to https: / /doi.org /10.1590 /1678 -986520170 0 050 0 0 02
Summary
Self-reported measures of weight and height have been increasingly used owing to their simplicity, low cost and speed, but bias that may occur according to the characteristics of the individuals [1,2,3,4,5,6]. A wrong weight and height estimate leads to a variation in the resulting Body Mass Index (BMI), used as a parameter for anthropometric classification, leading to errors in prevalence estimates of overweight and obesity in population studies. To address this bias, it is necessary to validate the self-reported measures of weight and height [8,10,22,23]
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