作者: Braun J , Bopp M , Faeh D
关键词: Population 、 Cutoff 、 Demography 、 Body mass index 、 Obesity 、 Self report 、 Prevalence 、 Logistic regression 、 Random effects model 、 Medicine
摘要: BACKGROUND/OBJECTIVE: Studies using self-report may underestimate obesity prevalence because participants tend to overestimate their height, weight and thus seriously Body Mass Index (BMI). In order find ways adjust for this misestimation, we tested two correction methods by comparing the derived rates with those based on measured height weight. METHODS: We used individual data from six studies self-reported BMI (1980-2007, n = 46589) five (1977-2004, 20130). All were population-based samples carried out in Switzerland. limited men women aged 35 74 years. Obesity was defined as > or =30 kg/m2. For method one, a lower cutoff of 29.2 kg/m2 (for both sexes) definition obesity; two, adjusted (respecting age sex) equations that another population. Results age-standardised. Differences logistic regression model considering random effects. RESULTS: Adjustment (method two) substantially approximated distribution unadjusted measurement. 2002/2003, obtained (men respectively: 16.3% 13.0%) tended be more similar (16.4% 13.9%) than one (13.8% 11.0%). CONCLUSION: Equation adjustment provides an approximation real (measured) sex has advantages over use universal level self-report. However, appropriately self-report, Swiss-specific equation should developed heights weights same individuals.