Niedhammer I, Bugel I, Bonenfant S, Goldberg M, Leclerc A
INSERM Unit 88, Hôpital National de Saint-Maurice, France.
Int J Obes Relat Metab Disord. 2000 Sep;24(9):1111-8. doi: 10.1038/sj.ijo.0801375.
To examine the validity of self-reported weight and height and the resulting body mass index (BMI), and to explore the associations between demographic, socioeconomic, and health-related factors on the one hand and bias in self-reported weight and height on the other, in order to determine the groups most likely to exhibit bias.
Prospective cohort study.
7350 middle-aged subjects, 5445 men and 1905 women, from the GAZEL cohort, who have been followed up since 1989 and work at the French national company Electricité De France-Gaz De France (EDF-GDF) in various occupations.
Self-reported weight and height were based on information from yearly mailed questionnaires, and measured weight and height, used here as true values, were provided by occupational physicians from 1994 to 1997. Sex, age, marital status, education, occupation, history of ischemic heart disease, and treatment for cardiovascular risk factors were obtained from the mailed questionnaires or from data provided by the Company's personnel and medical departments.
Strong correlations were found between measured and self-reported values, but self-reported weight and height displayed significant systematic errors. Weight was significantly underestimated for men (0.54 kg) and for women (0.85 kg), and height overestimated for men (0.38 cm) and women (0.40 cm). These biases led to significant underestimations of BMI (0.29 and 0.44 kg/m2 for men and women respectively). Consequently, the prevalence of overweight, defined as BMI > 26.9 kg/m2 for women and BMI > 27.2 kg/m2 for men, was also underestimated, by 13% for men and 17% for women. The five factors associated with bias in self-reported weight and height were: overweight status, end-digit preference, age, educational level and occupation.
These findings suggest that self-reported weight and height should be treated with caution, because of biases leading to misclassification for overweight and obesity, especially in certain segments of the population.
检验自我报告的体重和身高以及由此得出的体重指数(BMI)的有效性,并探讨人口统计学、社会经济和健康相关因素与自我报告的体重和身高偏差之间的关联,以确定最有可能出现偏差的人群。
前瞻性队列研究。
来自GAZEL队列的7350名中年受试者,其中男性5445名,女性1905名,自1989年起接受随访,在法国国家电力公司-法国燃气公司(EDF-GDF)从事各种职业工作。
自我报告的体重和身高基于每年邮寄问卷中的信息,而测量的体重和身高(在此用作真实值)由职业医生在1994年至1997年期间提供。性别、年龄、婚姻状况、教育程度、职业、缺血性心脏病史以及心血管危险因素的治疗情况从邮寄问卷或公司人事和医疗部门提供的数据中获取。
测量值与自我报告值之间存在强相关性,但自我报告的体重和身高存在显著的系统误差。男性体重被显著低估(0.54千克),女性体重被显著低估(0.85千克),男性身高被高估(0.38厘米),女性身高被高估(0.40厘米)。这些偏差导致BMI被显著低估(男性和女性分别为0.29和0.44千克/平方米)。因此,超重患病率(女性定义为BMI>26.9千克/平方米,男性定义为BMI>27.2千克/平方米)也被低估,男性低估了13%,女性低估了17%。与自我报告的体重和身高偏差相关的五个因素是:超重状态、末位数字偏好、年龄、教育水平和职业。
这些发现表明,由于存在导致超重和肥胖分类错误的偏差,尤其是在特定人群中,自我报告的体重和身高应谨慎对待。