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Evaluation of a suggested novel method to adjust BMI calculated from self‐reported weight and height for measurement error
Author(s) -
Flegal Katherine M.,
Graubard Barry I.,
Ioannidis John P. A.
Publication year - 2021
Publication title -
obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.438
H-Index - 199
eISSN - 1930-739X
pISSN - 1930-7381
DOI - 10.1002/oby.23239
Subject(s) - statistics , mathematics , obesity , medicine , observational error , variance (accounting) , body mass index , demography , accounting , sociology , business
Objective In 2019, Ward et al. proposed a method to adjust BMI calculated from self‐reported weight and height for bias relative to measured data. They did not evaluate the adjusted values relative to measured BMI values for the same individuals. Methods A large data set ( n = 37,439) with both measured and self‐reported weight and height was randomly divided into two groups. The proposed method was used to adjust the BMI values in one group to the measured data from the other group. The adjusted values were then compared with the measured values for the same individuals. Results Before adjustment, 24.9% were incorrectly classified relative to measured BMI categories, including 7.9% in too high a category; after adjustment, 24.3% were incorrectly classified, with 12.8% in too high a category. The variance of the difference was unchanged. The adjustments reduced some errors and introduced new errors. At an individual level, results were unpredictable. Conclusions The suggested method has little effect on misclassification, can introduce new errors, and could magnify errors associated with factors, such as age, race, educational level, or other characteristics. State‐level estimates and projections of obesity prevalence from values adjusted by this method may be incorrect.