Objective Epidemiological studies have shown that adults tend to underestimate their weight and overestimate their height. This may lead to a misclassification of their BMI in studies based on self-reported data. The aim of the present study was to assess the validity of self-reported weight and height in Austrian adults. Design Data on weight, height, health behaviour and sociodemographic characteristics of adults were collected in a standardized procedure via a self-filling questionnaire and a medical examination including measurements of weight and height. Setting A publicly accessible out-patient clinic in southern Austria. Subjects Austrian residents (n 473) aged 18 years and older who attended a health check participated in the study. Results The mean difference between reported and measured BMI was not significant in younger adults (<35 years: mean difference -0.21 kg/m 2; P < 0.08) but increased significantly with age (≥55 years: mean difference -0.68 kg/m 2; P < 0.001). The prevalence of normal weight (BMI = 18.5-24.9 kg/m 2) and overweight (BMI = 25.0-29.9 kg/m 2) was overestimated based on the self-reported data on BMI, while that for underweight (BMI < 18.5 kg/m 2) and obesity (BMI ≥ 30.0 kg/m 2) was underestimated (P < 0.001). The self-reported data showed an obesity prevalence of 12.5 %, while measurement showed a prevalence of 15.4 % (P < 0.001). Conclusions Our results indicate that prevalence rates of obesity are probably underestimated for Austrian adults when using self-reported weight and height information. The deviations from the measured data clearly increased with age. Analyses based on self-reported data should therefore be adjusted for the age dependency of the validity. © The Authors 2011.
CITATION STYLE
Großschädl, F., Haditsch, B., & Stronegger, W. J. (2012). Validity of self-reported weight and height in Austrian adults: Sociodemographic determinants and consequences for the classification of BMI categories. Public Health Nutrition, 15(1), 20–27. https://doi.org/10.1017/S1368980011001911
Mendeley helps you to discover research relevant for your work.