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Mediating Effect of Internet Addiction on the Association between Resilience and Depression among Korean University Students: A Structural Equation Modeling Approach

OBJECTIVE: This study examined the mediating role of internet addiction in the association between psychological resilience and depressive symptoms. METHODS: 837 Korean university students completed a survey with items of demographic information, Connor-Davidson Resilience Scale (CD-RISC), Internet...

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Detalles Bibliográficos
Autores principales: Mak, Kwok Kei, Jeong, Jaeseung, Lee, Hye-Kyung, Lee, Kounseok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neuropsychiatric Association 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6212698/
https://www.ncbi.nlm.nih.gov/pubmed/30301308
http://dx.doi.org/10.30773/pi.2018.08.07.2
Descripción
Sumario:OBJECTIVE: This study examined the mediating role of internet addiction in the association between psychological resilience and depressive symptoms. METHODS: 837 Korean university students completed a survey with items of demographic information, Connor-Davidson Resilience Scale (CD-RISC), Internet Addiction Test (IAT), and Patient Health Questionnaire (PHQ-9) in 2015. The complex associations among psychological resilience, internet addiction, and depressive symptoms were delineated using structural equation models. RESULTS: In the most parsimonious model, the total effect and indirect effect of resilience on depressive symptoms via internet addiction, were statistically significant. The goodness of fit of the measurement model was satisfactory with fit indices, normed fit index (NFI) of 0.990, non-normed fit index (NNFI) of 0.997, comparative fit index (CFI) of 0.998, root mean square error (RMSEA) of 0.018 (90%CI=0.001–0.034); and Akaike Information Criterion (AIC) of -21.049. CONCLUSION: The association between psychological resilience and depressive symptoms was mediated by internet addiction in Korean university students. Enhancement of resilience programs could help prevent internet addiction and reduce the related depression risks.