Validity of Self-Reported Body Mass Index and Sleeping Problems Among Adult Population of Georgia
Jin-Mann S. Lin*, Michael J. Decker, Dana J. Brimmer, William C. Reeves
Identifiers and Pagination:Year: 2010
First Page: 145
Last Page: 150
Publisher Id: TOOBESJ-2-145
Article History:Received Date: 22/07/2010
Revision Received Date: 02/09/2010
Acceptance Date: 06/09/2010
Electronic publication date: 15/11/2010
Collection year: 2010
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This study assessed the validity of body mass index (BMI) derived from self-reported height and weight in comparison to BMI derived from clinical measurement. We further examined the misclassification effect of self-reported BMI in association with complaints of snoring and excessive daytime sleepiness.
Data came from a population-based study of chronic fatigue syndrome (CFS) and unwellness, between September 2004 and July 2005, in metropolitan, urban, and rural Georgia. We compared self-reported with clinicallymeasured height and weight from 774 persons aged 18-59 and the bias impact on their association with snoring and excessive daytime sleepiness.
The correlation coefficient between self-reported and clinically-measured BMI was 0.92 (p<0.0001) and intraclass correlation coefficient was 0.90. For overweight persons (BMI >=25 kg/m2), self-reported BMI had 89% sensitivity and 95% specificity compared to clinically-measured BMI. Misclassification of self-reported BMI categories revealed slightly higher odds ratios (ORs) for obese categories in predicting the likelihood of having a snoring problem than those based on measured values.
Self-reported height and weight are valid for determining BMI categories and the relationship to snoring in a large-scale population study.