인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Objectives: This study examined the association between digital literacy and depressive symptoms among Korean older adults using 2023 national survey data, and tested whether age group and social participation moderated this association. Methods: Of 10,078 respondents, 9,951 non-proxy respondents were analyzed. Depressive symptoms were assessed using the Short Form of Geriatric Depression Scale (score ≥8), and digital literacy was measured using a 13-item device utilization score. Multiple logistic regression accounting for the complex sampling design (strata, clusters, and weights) was used, controlling for sociodemographic and health-related covariates. Interaction terms for digital literacy×age group and digital literacy×social participation were tested, with subgroup analysis conducted for the significant interaction. Results: Higher digital literacy was associated with lower odds of depressive symptoms (OR=0.96, 95% CI 0.92–1.00). The digital literacy×age group interaction was significant ( p=.0053), but the interaction with social participation was not ( p=.4271). In the age-stratified analysis, a significant association was found only among the 65–74 age group (OR=0.92, 95% CI 0.88–0.96). Conclusion: The association between digital literacy and depressive symptoms was significantly moderated by age group, particularly among young-old adults (65–74). In contrast, social participation showed an independent association with depressive symptoms but did not moderate the association.
본문·목차
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