Validity of a self-reported measure of familial history of obesity

Nutr J. 2008 Sep 10:7:27. doi: 10.1186/1475-2891-7-27.

Abstract

Background: Familial history information could be useful in clinical practice. However, little is known about the accuracy of self-reported familial history, particularly self-reported familial history of obesity (FHO).

Methods: Two cross-sectional studies were conducted. The aims of study 1 was to compare self-reported and objectively measured weight and height whereas the aims of study 2 were to examine the relationship between the weight and height estimations reported by the study participants and the values provided by their family members as well as the validity of a self-reported measure of FHO. Study 1 was conducted between 2004 and 2006 among 617 subjects and study 2 was conducted in 2006 among 78 participants.

Results: In both studies, weight and height reported by the participants were significantly correlated with their measured values (study 1: r = 0.98 and 0.98; study 2: r = 0.99 and 0.97 respectively; p < 0.0001). Estimates of weight and height for family members provided by the study participants were strongly correlated with values reported by each family member (r = 0.96 and 0.95, respectively; p < 0.0001). Substantial agreement between the FHO reported by the participants and the one obtained by calculating the BMI of each family members was observed (kappa = 0.72; p < 0.0001). Sensitivity (90.5%), specificity (82.6%), positive (82.6%) and negative (90.5%) predictive values of FHO were very good.

Conclusion: A self-reported measure of FHO is valid, suggesting that individuals are able to detect the presence or the absence of obesity in their first-degree family members.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Body Height / physiology
  • Body Mass Index*
  • Body Weight / physiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Obesity / diagnosis*
  • Obesity / epidemiology
  • Patient Participation / statistics & numerical data*
  • Predictive Value of Tests
  • Risk Factors
  • Self Disclosure*
  • Sensitivity and Specificity
  • Surveys and Questionnaires
  • Young Adult