Article Text

Download PDFPDF
New obesity body mass index threshold for self-reported data
  1. V Dauphinot1,
  2. H Wolff2,
  3. F Naudin1,
  4. R Guéguen1,
  5. C Sermet3,
  6. J-M Gaspoz2,
  7. M P Kossovsky2
  1. 1
    CETAF, Centre Technique d’Appui et de Formation des Centres d’Examens de Santé, Saint-Étienne, France
  2. 2
    Department of Community Medicine and Primary Care, University Hospitals of Geneva and University of Geneva, Geneva, Switzerland
  3. 3
    IRDES, Institut de Recherche et de Documentation en Economie de la Santé, Paris, France
  1. Ms V Dauphinot, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie, 59 boulevard Pinel, 69003 Lyon, France; d_virginie{at}


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/m2 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.

Statistics from

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.


  • Funding: This study was supported by grants from the Swiss National Fund for Scientific Research (32-31.326.91, 32-37986.93, 32-46142.95, 32-47219.96, 32-49847.96, 32-054097.98, 32-57104.99, 32-68275.02).

  • Competing interests: None.

  • Ethics approval: Studies conducted in France and Switzerland received approval from their respective ethical committee.