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The impact of elderly digital literacy on subjective wellbeing: a moderated mediation model
Jihui Liu1, Yan Qiao1, Yuanyuan Shao1
1College of Humanities and Social Sciences, Hebei Agricultural University, Baoding, China.
Introduction:
This study investigates how digital literacy influences subjective wellbeing among older adults, focusing on the mediating role of self-efficacy and the moderating role of acceptance of artificial intelligence (AI)-based elderly care services. The aim is to provide empirical evidence for enhancing older adults' subjective wellbeing and optimizing intelligent elderly care services.
Methods:
A survey was conducted with 425 older adults using validated scales measuring digital literacy, self-efficacy, acceptance of AI-based elderly care services, and subjective wellbeing. Data were analyzed using SPSS and Mplus, including descriptive statistics, correlation analysis, mediation tests, moderation tests, and moderated mediation analysis.
Results:
The results showed that digital literacy positively affected subjective wellbeing (r = 0.154, p < 0.01); digital literacy positively affected self-efficacy (r = 0.372, p < 0.01); self-efficacy positively affected subjective wellbeing (r = 0.152, p < 0.01). self-efficacy partially mediated the relationship between digital literacy and subjective wellbeing (indirect effect β = 0.041, p < 0.01). Acceptance of AI-based elderly care services positively moderated the relationship between digital literacy and self-efficacy (β = 0.164, p < 0.01). The moderated mediation effect was significant (index of moderated mediation = 0.269; 95% bootstrap confidence interval excluded zero), and the mediating effect of self-efficacy was stronger for older adults with higher acceptance of AI-based services.
Discussion:
These findings suggest that in an aging society, efforts should be made to enhance older adults' digital literacy and foster positive acceptance of AI-based elderly care services, thereby improving subjective wellbeing through increased self-efficacy. This study provides a reference for the formulation of intelligent elderly care policies.
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