title: Predictors of computer use in community-dwelling, ethnically diverse older adults.
abstract: OBJECTIVE
  In this study, we analyzed self-reported computer use, demographic variables, psychosocial variables, and health and well-being variables collected from 460 ethnically diverse, community-dwelling elders to investigate the relationship computer use has with demographics, well-being, and other key psychosocial variables in older adults.
  
  
  BACKGROUND
  Although younger elders with more education, those who employ active coping strategies, or those who are low in anxiety levels are thought to use computers at higher rates than do others, previous research has produced mixed or inconclusive results regarding ethnic, gender, and psychological factors or has concentrated on computer-specific psychological factors only (e.g., computer anxiety). Few such studies have employed large sample sizes or have focused on ethnically diverse populations of community-dwelling elders.
  
  
  METHODS
  With a large number of overlapping predictors, zero-order analysis alone is poorly equipped to identify variables that are independently associated with computer use. Accordingly, both zero-order and stepwise logistic regression analyses were conducted to determine the correlates of two types of computer use: e-mail and general computer use.
  
  
  RESULTS
  Results indicate that younger age, greater level of education, non-Hispanic ethnicity, behaviorally active coping style, general physical health, and role-related emotional health each independently predicted computer usage.
  
  
  CONCLUSIONS
  Study findings highlight differences in computer usage, especially in regard to Hispanic ethnicity and specific health and well-being factors.
  
  
  CONCLUSIONS
  Potential applications of this research include future intervention studies, individualized computer-based activity programming, or customizable software and user interface design for older adults responsive to a variety of personal characteristics and capabilities.
authors: University of Southern California, Los Angeles, CA 90089-2520, USA. jmwerner@usc.edu
authors: Julie M
authors: JM
authors: Werner
authors: Mike
authors: M
authors: Carlson
authors: Maryalice
authors: M
authors: Jordan-Marsh
authors: Florence
authors: F
authors: Clark
mesh_terms: D000223:Adaptation, Psychological; D000368:Aged; D000369:Aged, 80 and over; D003201:Computers / Q000706:statistics & numerical data*; D005006:Ethnicity / Q000706:statistics & numerical data*; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D007899:Leisure Activities; D008019:Life Style; D016015:Logistic Models; D008297:Male; D008603:Mental Health; D010549:Personal Satisfaction; D012067:Religion; D014584:User-Computer Interface