Underreporting of BMI in adults and its effect on obesity prevalence estimations in the period 1998 to 2001

被引:123
作者
Visscher, Tommy L. S.
Viet, A. Lucie
Kroesbergen, H. T.
Seidell, Jacob C.
机构
[1] Vrije Univ Amsterdam, Fac Earth & Life Sci, Inst Hlth Sci, NL-1081 HV Amsterdam, Netherlands
[2] Natl Inst Publ Hlth & Environm, Ctr Prevent & Hlth Serv Res, NL-3720 BA Bilthoven, Netherlands
[3] Municipal Hlth Ctr W Brabant, Ooosterhout, Netherlands
[4] Vrije Univ Amsterdam, Med Ctr, Inst Res Extramural Med, NL-1081 HV Amsterdam, Netherlands
关键词
bias; epidemiology; misclassification; underestimation; survey;
D O I
10.1038/oby.2006.240
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: To identify the determinants of underreporting BMI and to evaluate the possibilities of using self-reported data for valid obesity prevalence rate estimations. Research Methods and Procedures: A cross-sectional monitoring health survey was carried out between 1998 and 2002, and a review of published studies was performed. A total of 1809 men and 1882 women ages 20 to 59 years from The Netherlands were included. Body weight and height were reported and measured. Equations were calculated to estimate individuals' BMI from reported data. These equations and equations from published studies were applied to the present data to evaluate whether using these equations led to valid estimations of the obesity prevalence rate. Also, size of underestimation of obesity prevalence rate was compared between studies. Results: The prevalence of obesity was underestimated by 26.1% and 30.0% among men and women, respectively, when based on reported data. The most important determinant of underreporting BMI was a high BMI. When equations to calculate individuals' BMI from reported data were used, the obesity prevalence rate was still underestimated by 12.9% and 8.1% of the "true" obesity prevalence rate among men and women, respectively. The degree of underestimating the obesity prevalence was inconsistent across studies. Applying equations from published studies to the present data led to estimations of the obesity prevalence varying from a 7% overestimation to a 74% underestimation. Discussion: Valuable efforts for monitoring and evaluating prevention and treatment studies require direct measurements of body weight and height.
引用
收藏
页码:2054 / 2063
页数:10
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