Hayes Alison J, Kortt Michael A, Clarke Philip M, Brandrup Jason D
School of Public Health, University of Sydney, New South Wales 2006, Australia.
Aust N Z J Public Health. 2008 Dec;32(6):542-5. doi: 10.1111/j.1753-6405.2008.00306.x.
To derive correction equations based on nationally representative data, for the error associated with self-reported height and weight and to apply these to recent estimates of overweight and obesity in the Australian adult population.
Linear regression was used to derive correction equations to predict reporting error on height, weight and body mass index (BMI) for 8,435 adults, aged 20 and over, who had their height and weight accurately measured as participants of the 1995 National Nutrition Survey (NNS) and who had also supplied self-reported information within the 1995 National Health Survey (NHS).
Evaluation of different correction algorithms suggests that simple correction equations for height and weight (each with one independent variable) are the most useful in the prediction of corrected prevalence of overweight and obesity. Applying these equations to nationally representative data suggests that the prevalence of overweight and obesity (BMI > or = 25) in Australia in 2004/05 was 66% compared with the value of 54% determined from self-reported data.
We present a simple and reliable method for correcting true prevalence of overweight and obesity from self-reported data.
In order to get realistic estimates of overweight and obesity in Australia, either measured height and weight data should be collected directly, or equations to correct for self report error should be used.
基于具有全国代表性的数据，推导与自我报告身高和体重相关误差的校正方程，并将其应用于澳大利亚成年人口超重和肥胖的近期估计值。
采用线性回归推导校正方程，以预测8435名20岁及以上成年人的身高、体重和体重指数（BMI）报告误差。这些成年人作为1995年全国营养调查（NNS）的参与者，其身高和体重得到了准确测量，并且在1995年全国健康调查（NHS）中也提供了自我报告信息。
对不同校正算法的评估表明，身高和体重的简单校正方程（每个方程有一个自变量）在预测校正后的超重和肥胖患病率方面最有用。将这些方程应用于具有全国代表性的数据表明，2004/05年澳大利亚超重和肥胖（BMI≥25）的患病率为66%，而根据自我报告数据确定的值为54%。
我们提出了一种从自我报告数据校正超重和肥胖真实患病率的简单可靠方法。
为了获得澳大利亚超重和肥胖的实际估计值，要么应直接收集测量的身高和体重数据，要么应使用校正自我报告误差的方程。
