Peer-Reviewed Journal Details
Mandatory Fields
O'Neill, D
2015
April
ECONOMICS AND HUMAN BIOLOGY
Measuring obesity in the absence of a gold standard
Published
17 ()
Optional Fields
BODY-MASS INDEX LATENT CLASS ANALYSIS TO-HIP RATIO WAIST CIRCUMFERENCE MEASUREMENT ERROR DISEASE PREVALENCE DIAGNOSTIC-TESTS CLASS MODELS HEALTH-RISK BMI
17
116
128
Reliable measures of body composition are essential to develop effective policies to tackle obesity. The lack of an acceptable gold-standard for measuring fatness has made it difficult to evaluate alternative measures of obesity. We use latent class analysis to characterise existing diagnostics. Using data on US adults we show that measures based on body mass index and bioelectrical impedance analysis misclassify large numbers of individuals. For example, 45% of obese White women are misclassified as non-obese using body mass index, while over 50% of non-obese White women are misclassified as being obese using bioelectrical impedance analysis. In contrast the misclassification rates are low when waist circumference is used to measure obesity. These results have important implications for our understanding of differences in obesity rates across time and groups, as well as posing challenges for the econometric analysis of obesity. (C) 2015 Elsevier B.V. All rights reserved.
AMSTERDAM
1570-677X
10.1016/j.ehb.2015.02.002
Grant Details