DOI: 10.1093/geroni/igad104.1719 ISSN: 2399-5300


Cindy Tsotsoros, Skye Leedahl, Melanie Brasher, Alexandria Capolino, Josie Santilli
  • Life-span and Life-course Studies
  • Health Professions (miscellaneous)
  • Health (social science)


Previous research has shown that technology-based interventions show promise for reducing social isolation and loneliness. Less research has examined quality of life outcomes for these programs or interconnectedness of these outcomes when examining pre/post-change. This study examined the connections between technology use and knowledge with loneliness, social isolation, and quality of life before and after participation in the program. The final sample (N=324) was rather diverse regarding work and living status (for example, 67.5% retired; 67.8% lived alone; 70.1% had less than $30,000 income; 40.2% had a high school education or less). Using structural equation modeling, this study examined pre- and post-data to identify to what extent technology usage and knowledge (frequency of iPad use, digital competence) predicted an individualā€™s change in loneliness, social isolation, and quality of life. This final model showed excellent model fit (šœ’2(148, N=324)=247.01 p<.05 with CFI = .95, TLI = .93, RMSEA = .05, CMIN/df = 1.67). Within this model, findings showed that digital competence improvements predicted quality of life, social isolation, and loneliness (Ad. R. Square = 0.17); the frequency of iPad use influenced social isolation and quality of life (Adj. R Square = 0.29); and loneliness influenced quality of life and social isolation (Adj. R Square = 0.81). There are multiple possible mechanisms through which older participantsā€™ lives can be impacted by intergenerational technology programs. Understanding the complex interplay of factors helps us understand the potential benefits of these programs on quality of life.

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