ArticleDigital health
Use of artificial intelligence and health-related life satisfaction among older adults: A structural equation modeling study.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: As artificial intelligence (AI) tools become increasingly integrated into healthcare, AI tools support disease management and well-being in older population. However, adoption of AI technologies is often hindered in the population, raising questions about how technology acceptance translates into direct health benefits for older adults. Objectives: Guided by the Technology Acceptance Model, this study aims to examine the structural mechanisms by which AI healthcare technology variables, including AI competency, attitude, or use frequency, influence health-related life satisfaction among middle- to older-aged adults. Methods: This study was a secondary analysis using data from 2024 Digital Divide Survey in South Korea. The analytic sample included 582 participants aged ≥ 55 years. Structural equation modeling was used to examine associations among AI competency, attitude, or perceived helpfulness, AI use frequency, and health-related life satisfaction. Results: The measurement and structural equation models demonstrated acceptable fit. AI competency was positively associated with AI healthcare helpfulness (β = .23, p < .001), AI attitude (β = .53, p < .001), and health-related life satisfaction (β = .28, p < .001). AI attitude was significantly associated with AI healthcare use frequency (β = .29, p < .001), whereas AI healthcare use frequency and helpfulness showed no significant direct effects on health-related life satisfaction. Conclusions: AI competency, a psychological aspect of AI use, is a more crucial determinant of physical and mental well-being in later life than the increased frequency of AI healthcare use. Interventions should prioritize strengthening AI literacy and self-efficacy among underserved older adults.
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