Abstract :
Objective: Self-reported height and weight are commonly used to estimate body mass index. The
present study aims to identify the characteristics of participants who reported not to know their height or weight
and to evaluate the consequence of these missing data on the estimates of the prevalence of body mass index
categories. Design and Participants: We evaluated 1492 adults, aged 18-92 years, who were selected using
random digit dialling. During a general interview, participants were asked to report their current height and
weight and actual anthropometrical measurements were obtained as part of a subsequent physical examination.
We classified as unaware subjects who reported not to know their height or weight. Results: In this sample, 185
(12.4%) subjects reported not to know their height or weight (19.6% of females and 6.3% of males, p<0.001).
Women unaware of their weight or height were older, less educated, overweight or obese, never smoker and more
frequently reported no regular physical exercise practice. In men, only ex-smokers were significantly less aware
of their weight or height. In women, the prevalence of obesity using measured data was 25.3%, decreasing to
22.2% when considering only participants aware of their weight and height. Using self-reported data the obesity
prevalence, in females, was 15.0%. Conclusion: A large proportion of adults, mainly women and older persons,
reported not to know their weight and height and the exclusion of those participants results in differential errors
depending on the actual values. The exclusion of participants unaware of their weight or height is an additional
source of bias that decreases the sensitivity in detecting obesity and underestimates the real problem, namely in
the older population
Keywords :
self-report , Misclassification , obesity , height , weight.