Obesity prevalence among a group of Chicago residents with disabilities

Arch Phys Med Rehabil. 2005 Jul;86(7):1461-4. doi: 10.1016/j.apmr.2004.10.038.

Abstract

Objective: To examine the prevalence of overweight, obesity, and extreme obesity in a predominantly minority group of adults with disabilities.

Design: Cross-sectional study using secondary data analysis.

Setting: Major university medical center.

Participants: Adults with physical and cognitive disabilities (N = 306).

Interventions: Not applicable.

Main outcome measures: Direct measures of height and weight to classify subjects into 3 obesity categories: overweight (body mass index [BMI] range, 25-29.9 kg/m2), obese (BMI range, 30-39.9 kg/m2), and extreme obesity (BMI, > or = 40 kg/m2).

Results: People with disabilities, regardless of sex, race and ethnicity, or age, had significantly higher rates of overweight, obesity, and extreme obesity compared with people without disabilities. Extreme obesity (BMI, > or = 40 kg/m2) was approximately 4 times higher among people with disabilities than in the general population (odds ratio = 4.08; 95% confidence interval, 3.50-4.66). There were also substantial differences in obesity prevalence among people with disabilities, using actual measurement data, compared with self-reported data from previously published data sets.

Conclusions: The disparity in excess body weight between people with and without disabilities, particularly in the category of extreme obesity, along with substantial differences in obesity prevalence between actual and self-reported data, show a critical need to better understand why these differences exist.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Body Mass Index
  • Chicago / epidemiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Obesity / epidemiology*
  • Persons with Disabilities / statistics & numerical data*
  • Prevalence
  • Racial Groups / statistics & numerical data
  • Sex Distribution