Changes in body mass index in Canadians over a five-year period: results of a prospective, population-based study

BMC Public Health. 2007 Jul 9:7:150. doi: 10.1186/1471-2458-7-150.

Abstract

Background: The initiation of the Canadian Multicentre Osteoporosis Study in 1996, and subsequent follow-up of the cohort 5 years later, provided longitudinal body mass index (BMI) data for a random sample of Canadians.

Methods: Height and weight were measured at baseline and 5 years and used to calculate BMI and assign one of six weight categories. Multiple imputation was used to adjust for missing weight at year 5. Data were stratified by age and gender. The proportion of participants moving between categories was generated, and multivariable linear regression was used to identify factors associated with weight change.

Results: Baseline data were available for 8548 participants, year 5 data for 6721, and year 5 weight was imputed for 1827 (17.6%). Mean BMI for every age and gender group exceeded healthy weight guidelines. Most remained within their BMI classification over 5 years, but when change occurred, BMI category was more likely to increase than decrease. Several sociodemographic, lifestyle and clinical characteristics were associated with change.

Conclusion: Mean baseline BMI tended to be higher than recommended. Moreover, on average, men under age 45 and women under age 55 were gaining approximately 0.45 kilograms (one pound) per year, which leveled off with increased age and reversed in the oldest age groups. These findings underscore the need for public health efforts aimed at combating obesity.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Absorptiometry, Photon
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Body Mass Index*
  • Canada / epidemiology
  • Female
  • Humans
  • Life Style
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Obesity / complications
  • Obesity / epidemiology*
  • Osteoporosis / complications
  • Osteoporosis / diagnosis
  • Osteoporosis / epidemiology*
  • Overweight / physiology*
  • Population Surveillance
  • Regression Analysis
  • Sex Factors
  • Socioeconomic Factors