title: Elderly health beliefs, attitudes, and maintenance.
abstract: BACKGROUND
  Why older persons engage in varying amounts of health maintenance activity is becoming both an increasingly important policy issue and a topic of interest to health services researchers. Such activity may help the elderly to delay the onset of the health-related problems associated with aging, maintain if not improve their functional abilities, and perhaps improve their quality of life.
  
  
  METHODS
  Using a conceptual model largely based upon the health belief model, this study sought to examine predictors of variability of health maintenance activity among older persons. The project included cross-sectional data drawn from the first phase of a multiyear panel study of elderly community residents.
  
  
  RESULTS
  Results of ordinary least-squares and logistic regression analyses of seven types of health maintenance activity suggest that health beliefs are an important consideration but that other variables, namely, type of insurance plan and select sociodemographic factors, also had significant impacts. Another consistent finding was that each of the types of health maintenance activity was associated with different types of predictor variables.
  
  
  CONCLUSIONS
  These findings suggest that in order for levels of health maintenance activity to be increased, intervention programs need to be targeted toward specific types of health beliefs and need to take into account the importance of social differences.
authors.affiliation: Gottlieb Memorial Hospital, Melrose Park, Illinois 60160.
authors.forename: J
authors.initials: J
authors.lastname: Jensen
authors.forename: M A
authors.initials: MA
authors.lastname: Counte
authors.forename: G L
authors.initials: GL
authors.lastname: Glandon
mesh_terms: D000367:Age Factors; D000368:Aged; D000428:Alcohol Drinking / Q000453:epidemiology; D000704:Analysis of Variance; D001294:Attitude to Health; D003430:Cross-Sectional Studies; D005260:Female; D015438:Health Behavior; D006279:Health Maintenance Organizations / Q000191:economics; D006293:Health Promotion; D006801:Humans; D007087:Illinois; D008297:Male; D011314:Preventive Health Services / Q000191:economics / Q000706:statistics & numerical data*; D012044:Regression Analysis; D012907:Smoking / Q000453:epidemiology; D012959:Socioeconomic Factors