title: Adjusting divergences between self-reported and measured height and weight in an adult Canadian population.
abstract: OBJECTIVE
  To develop algorithm equations that could be used to adjust self-reported height and weight to elicit better estimates of actual BMI.
  
  
  METHODS
  Linear regression analyses were performed to generate equations that could predict actual height and weight from self-reported data collected through telephone interviews on a representative sample of Canadians aged 18 years or older.
  
  
  RESULTS
  There were systematic biases in self-reported height and weight, leading to an underestimation of BMI. The application of our calibration equations to self-reported data produced closer estimates to actual rates of overweight and obesity.
  
  
  CONCLUSIONS
  We advocate the use of our correction equation whenever dealing with self-reported height and weight from telephone surveys to avoid potential distortions in estimating obesity prevalence.
authors.affiliation: School of Public Health, University of Alberta, Edmonton, AB, Canada. msagna@ualberta.ca
authors.forename: Marguerite L
authors.initials: ML
authors.lastname: Sagna
authors.forename: Donald
authors.initials: D
authors.lastname: Schopflocher
authors.forename: Kim
authors.initials: K
authors.lastname: Raine
authors.forename: Candace
authors.initials: C
authors.lastname: Nykiforuk
authors.forename: Ronald
authors.initials: R
authors.lastname: Plotnikoff
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D000886:Anthropometry; D015982:Bias; D001827:Body Height; D015992:Body Mass Index; D001835:Body Weight; D002170:Canada / Q000453:epidemiology; D005260:Female; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology*; D050177:Overweight / Q000453:epidemiology*; D015995:Prevalence; D057566:Self Report