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New obesity body mass index threshold for self-reported data.
J Epidemiol Community Health. 2009 Feb; 63(2):128-32.JE

Abstract

BACKGROUND

Since subjects included in population studies tend to underreport their weight and overestimate their height, obesity prevalence based on these data is often inaccurate. A reduced obesity threshold for self-reported height and weight was proposed and evaluated for its accuracy.

METHODS

Self-reported heights and weights were compared with measured heights and weights in a Swiss city adult population representative sample. Participants were asked their height and weight and were invited to undergo a health examination, during which these data were measured. An optimal body mass index (BMI) value was assessed using receiver operating characteristic (ROC) curve analysis and its ability to correctly estimate obesity prevalence was tested on an external French population sample.

RESULTS

The Swiss population sample consisted of 13 162 subjects (mean age 51.4). The comparison between self-reported and measured data showed that obesity prevalence calculated from declarations was underestimated: among obese subjects (according to measured BMI), 33.6% of men and 27.5% of women were considered to be non-obese according to their self-report. Considering measures as a reference, a lower BMI cut-off of 29.2 kg/m(2) was identified for both genders for the definition of obesity based on self-report. Respective misclassification was reduced to 17.9% in men and 16.9% in women. The validation procedure on a French population sample (n = 1858) yielded similar results.

CONCLUSIONS

The reduced threshold based on self-report allowed a better estimation of obesity prevalence. Its use should be limited to population studies only.

Authors+Show Affiliations

CETAF, Centre Technique d'Appui et de Formation des Centres d'Examens de Santé, Saint-Etienne, France. d_virginie@hotmail.comNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Validation Study

Language

eng

PubMed ID

18801799

Citation

Dauphinot, V, et al. "New Obesity Body Mass Index Threshold for Self-reported Data." Journal of Epidemiology and Community Health, vol. 63, no. 2, 2009, pp. 128-32.
Dauphinot V, Wolff H, Naudin F, et al. New obesity body mass index threshold for self-reported data. J Epidemiol Community Health. 2009;63(2):128-32.
Dauphinot, V., Wolff, H., Naudin, F., Guéguen, R., Sermet, C., Gaspoz, J. M., & Kossovsky, M. P. (2009). New obesity body mass index threshold for self-reported data. Journal of Epidemiology and Community Health, 63(2), 128-32. https://doi.org/10.1136/jech.2008.077800
Dauphinot V, et al. New Obesity Body Mass Index Threshold for Self-reported Data. J Epidemiol Community Health. 2009;63(2):128-32. PubMed PMID: 18801799.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - New obesity body mass index threshold for self-reported data. AU - Dauphinot,V, AU - Wolff,H, AU - Naudin,F, AU - Guéguen,R, AU - Sermet,C, AU - Gaspoz,J-M, AU - Kossovsky,M P, Y1 - 2008/09/18/ PY - 2008/9/20/pubmed PY - 2009/12/16/medline PY - 2008/9/20/entrez SP - 128 EP - 32 JF - Journal of epidemiology and community health JO - J Epidemiol Community Health VL - 63 IS - 2 N2 - BACKGROUND: Since subjects included in population studies tend to underreport their weight and overestimate their height, obesity prevalence based on these data is often inaccurate. A reduced obesity threshold for self-reported height and weight was proposed and evaluated for its accuracy. METHODS: Self-reported heights and weights were compared with measured heights and weights in a Swiss city adult population representative sample. Participants were asked their height and weight and were invited to undergo a health examination, during which these data were measured. An optimal body mass index (BMI) value was assessed using receiver operating characteristic (ROC) curve analysis and its ability to correctly estimate obesity prevalence was tested on an external French population sample. RESULTS: The Swiss population sample consisted of 13 162 subjects (mean age 51.4). The comparison between self-reported and measured data showed that obesity prevalence calculated from declarations was underestimated: among obese subjects (according to measured BMI), 33.6% of men and 27.5% of women were considered to be non-obese according to their self-report. Considering measures as a reference, a lower BMI cut-off of 29.2 kg/m(2) was identified for both genders for the definition of obesity based on self-report. Respective misclassification was reduced to 17.9% in men and 16.9% in women. The validation procedure on a French population sample (n = 1858) yielded similar results. CONCLUSIONS: The reduced threshold based on self-report allowed a better estimation of obesity prevalence. Its use should be limited to population studies only. SN - 1470-2738 UR - https://www.unboundmedicine.com/medline/citation/18801799/New_obesity_body_mass_index_threshold_for_self_reported_data_ L2 - https://jech.bmj.com/lookup/pmidlookup?view=long&pmid=18801799 DB - PRIME DP - Unbound Medicine ER -