Individual and Environmental Determinants of Late-Life Community Disability for Persons Aging With Cardiovascular Disease

Am J Phys Med Rehabil. 2019 Jan;98(1):30-34. doi: 10.1097/PHM.0000000000001011.

Abstract

Objective: The aim of the study was to estimate the prevalence of late-life community disability for adults 65 yrs and older with cardiovascular disease versus those without. This study also investigated the contributions of environmental and individual risk factors on late-life community disability for persons with cardiovascular disease.

Design: This is a secondary data analysis of the 2016 round of the National Health and Aging Trends Study. The study sample included community-dwelling Americans with cardiovascular disease (n = 1490) and without (n = 4819). Logistic regression was used to estimate associations between individual risk factors, environmental factors, and community disability for those with cardiovascular disease.

Results: Individuals with cardiovascular disease had a significantly higher prevalence of late-life community disability than those without (44.8% vs. 29.0%). For persons with cardiovascular disease, lack of transportation, home modification, and needing assistance with mobility increased the odds of community disability. Younger age and lower comorbidity were associated with decreased odds of community disability. When accounting for environmental factors in multivariate analyses, sex, race, and education were not significantly associated with community disability.

Conclusion: Late-life community disability is highly prevalent for persons aging with cardiovascular disease. Intervention strategies to deter late-life community disablement should focus on improving access to transportation and improving the community environment in which older adults live.

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Cardiovascular Diseases / epidemiology*
  • Cardiovascular Diseases / physiopathology
  • Comorbidity
  • Disabled Persons / statistics & numerical data*
  • Environment
  • Female
  • Humans
  • Independent Living / statistics & numerical data*
  • Logistic Models
  • Male
  • Mobility Limitation
  • Musculoskeletal Diseases / epidemiology*
  • Musculoskeletal Diseases / physiopathology
  • Prevalence
  • Risk Factors