Paeratakul S, Popkin B M, Kohlmeier L, Hertz-Picciotto I, Guo X, Edwards L J
Department of Nutrition, School of Public Health, University of North Carolina at Chapel Hill 27516-3997, USA.
Eur J Clin Nutr. 1998 Oct;52(10):722-7. doi: 10.1038/sj.ejcn.1600633.
To examine the effect of measurement error in dietary data on the relationship between diet and body mass index (BMI). To correct for the effect of measurement error on diet-BMI association by using replicate measurements of diet. The effect of measurement error on diet--BMI relationship was simulated, and its implications are discussed.
Prospective study design.
The first and second China Health and Nutrition Survey conducted in 1989 and 1991, respectively.
Three thousand, four hundred and seventy-nine adults age 20-45 y at the 1989 survey.
Statistical methods were used to demonstrate the effect of measurement error in dietary data on the diet-BMI association.
By using the average of three replicate 24 h dietary recalls, the attenuation of diet-BMI association was reduced substantially. The regression coefficients of fat and energy intakes differed markedly from those computed by using only single measurement of diet.
Measurement error in dietary data may significantly attenuate the diet-disease association. Where appropriate, specific emphasis may be needed to address the problem of measurement error in the study of diet-disease relationship.
研究饮食数据中的测量误差对饮食与体重指数（BMI）之间关系的影响。通过对饮食进行重复测量来校正测量误差对饮食与BMI关联的影响。模拟测量误差对饮食与BMI关系的影响，并讨论其意义。
前瞻性研究设计。
分别于1989年和1991年进行的第一次和第二次中国健康与营养调查。
1989年调查中年龄在20 - 45岁的3479名成年人。
采用统计方法来证明饮食数据中的测量误差对饮食与BMI关联的影响。
通过使用三次重复的24小时饮食回忆的平均值，饮食与BMI关联的衰减显著降低。脂肪和能量摄入量的回归系数与仅使用单次饮食测量计算出的系数明显不同。
饮食数据中的测量误差可能会显著减弱饮食与疾病的关联。在适当情况下，在饮食与疾病关系的研究中可能需要特别强调解决测量误差问题。
