Predictors of Computer Use in Community-Dwelling, Ethnically Diverse Older Adults

TLDR

Prior research on computer use among older adults has mixed results, especially regarding ethnicity, gender, and psychological factors, and few large studies have focused on ethnically diverse community‑dwelling elders. The study aimed to examine how demographics, psychosocial factors, and health variables predict computer use among ethnically diverse community‑dwelling older adults, with implications for tailored interventions and interface design. The authors used zero‑order and stepwise logistic regression analyses on data from 460 elders to identify independent predictors of e‑mail and general computer use. Younger age, higher education, non‑Hispanic ethnicity, active coping, better physical health, and better role‑related emotional health independently predicted computer use, highlighting notable differences for Hispanic elders and health‑related factors.

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. Method: 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. Conclusion: Study findings highlight differences in computer usage, especially in regard to Hispanic ethnicity and specific health and well-being factors. Application: 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.