Health of community-dwelling adults with mobility limitations in the United States: incidence of secondary health conditions. Part II

Arch Phys Med Rehabil. 2008 Feb;89(2):219-30. doi: 10.1016/j.apmr.2007.08.159.

Abstract

Objective: To compare incident health conditions that occurred over a 2-year period in nationally representative groups of adults with mobility, nonmobility, and no limitations.

Design: Data were collected prospectively from a probability subsample of households that represent the civilian, noninstitutionalized U.S. population.

Setting: Five rounds of household interviews were conducted over 2 years.

Participants: Data were analyzed on the same respondents from the 1996-1997 Medical Expenditure Panel Survey (MEPS) and the 1995 National Health Interview Survey Disability Supplement. Respondents were categorized into 3 groups for analysis; those with mobility limitations, nonmobility limitations, and no limitations. The analytic sample included 12,302 MEPS adults (>/=18y).

Interventions: Not applicable.

Main outcome measures: Number, types, and 2-year incidence of self-reported health conditions compared across groups.

Results: The mean number of incident conditions (95% confidence intervals [CIs]) over the 2-year period was greatest in adults with mobility limitations (mean, 4.7; 95% CI, 4.4-4.9) compared with those with nonmobility limitations (mean, 3.9; 95% CI, 3.7-4.2) or no limitations (mean, 2.6; 95% CI, 2.5-2.7). Incident conditions affected most major body systems.

Conclusions: Because secondary conditions are potentially preventable, determining factors that influence their occurrence is an important public health issue requiring specific action.

MeSH terms

  • Activities of Daily Living
  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Comorbidity*
  • Confidence Intervals
  • Data Collection / methods
  • Demography
  • Disabled Persons / classification*
  • Disabled Persons / statistics & numerical data
  • Female
  • Health Status Indicators*
  • Humans
  • Incidence
  • Linear Models
  • Male
  • Middle Aged
  • Risk Factors
  • United States / epidemiology