title: A health and demographic profile of noninstitutionalized older Americans residing in environments with home modifications.
abstract: OBJECTIVE
  In this analysis the authors investigate the demographic characteristics, the health conditions/events, and the disabilities of community-dwelling Americans 70 years of age and older that are associated with residing in environments with specific home modifications.
  
  
  METHODS
  Data from a large population-based study of the elderly are used to estimate logistic regression equations that reveal profiles of older individuals who are likely to have distinct home modifications.
  
  
  RESULTS
  Having diseases such as diabetes and stroke, having experienced a hip fracture, a fall or a joint replacement, and having greater limitations with activities of daily living raise the likelihood of having home modifications. Low income, Hispanic, and African American elderly appear underrepresented among those with modifications.
  
  
  CONCLUSIONS
  The authors conclude that specialized housing alternatives will be an increasingly important issue in the future as individuals aim to achieve and maintain the delicate balance between their functional ability and their living environment.
authors.affiliation: Andrus Gerontology Center, University of Southern California, USA. tabbarah@usc.edu
authors.forename: M
authors.initials: M
authors.lastname: Tabbarah
authors.forename: M
authors.initials: M
authors.lastname: Silverstein
authors.forename: T
authors.initials: T
authors.lastname: Seeman
mesh_terms: D000203:Activities of Daily Living; D000367:Age Factors; D000368:Aged; D001107:Architectural Accessibility / Q000295:instrumentation / Q000706:statistics & numerical data; D003710:Demography; D006233:Persons with Disabilities / Q000706:statistics & numerical data; D006804:Ergonomics / Q000295:instrumentation; D005006:Ethnicity; D006801:Humans; D007374:Interior Design and Furnishings / Q000295:instrumentation / Q000706:statistics & numerical data; D012656:Self-Help Devices / Q000706:statistics & numerical data; D012959:Socioeconomic Factors; D014481:United States