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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.

ABSTRACT: 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.

SUBMITTER: Mak KK

PROVIDER: S-EPMC6212698 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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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.

Mak Kwok Kei KK Jeong Jaeseung J Lee Hye-Kyung HK Lee Kounseok K

Psychiatry investigation 20181011 10

<h4>Objective</h4>This study examined the mediating role of internet addiction in the association between psychological resilience and depressive symptoms.<h4>Methods</h4>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 delineate ...[more]

PMID: 30301308

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Project description:ObjectivesThe study aims to assess prevalence of smartphone addiction symptoms, and to ascertain whether depression or anxiety, independently, contributes to smartphone addiction level among a sample of Lebanese university students, while adjusting simultaneously for important sociodemographic, academic, lifestyle, personality trait, and smartphone-related variables.MethodsA random sample of 688 undergraduate university students (mean age = 20.64 ±1.88 years; 53% men) completed a survey composed of a) questions about socio-demographics, academics, lifestyle behaviors, personality type, and smartphone use-related variables; b) 26-item Smartphone Addiction Inventory (SPAI) Scale; and c) brief screeners of depression and anxiety (PHQ-2 and GAD-2), which constitute the two core DSM-IV items for major depressive disorder and generalized anxiety disorder, respectively.ResultsPrevalence rates of smartphone-related compulsive behavior, functional impairment, tolerance and withdrawal symptoms were substantial. 35.9% felt tired during daytime due to late-night smartphone use, 38.1% acknowledged decreased sleep quality, and 35.8% slept less than four hours due to smartphone use more than once. Whereas gender, residence, work hours per week, faculty, academic performance (GPA), lifestyle habits (smoking and alcohol drinking), and religious practice did not associate with smartphone addiction score; personality type A, class (year 2 vs. year 3), younger age at first smartphone use, excessive use during a weekday, using it for entertainment and not using it to call family members, and having depression or anxiety, showed statistically significant associations with smartphone addiction. Depression and anxiety scores emerged as independent positive predictors of smartphone addiction, after adjustment for confounders.ConclusionSeveral independent positive predictors of smartphone addiction emerged including depression and anxiety. It could be that young adults with personality type A experiencing high stress level and low mood may lack positive stress coping mechanisms and mood management techniques and are thus highly susceptible to smartphone addiction.

Project description:IntroductionDepressive emotions can lead to subsequent unhealthy behaviors such as Internet addiction, especially in female adolescents; therefore, studies that examine the relationships among depression, health‑related behaviors, and Internet addiction in female adolescents are warranted.PurposeTo examine (1) the relationship between depression and health-related behaviors and (2) the relationship between depression and Internet addiction.MethodA cross-sectional study design was adopted using a structured questionnaire to measure depression, health-related behaviors, and Internet addiction in female adolescents. The data were collected from students of a junior college in southern Taiwan using convenience sampling to select the participants. The questionnaire was divided into four sections: demographics, the Center for Epidemiologic Studies Depression Scale (CES-D), the Health Promoting Lifestyle Profile (HPLP), and the Internet Addiction Test (IAT).ResultsThe final sample comprised 503 female junior college students, with the participants mainly aged between 15 to 22 years (mean age = 17.30 years, SD = 1.34). Regarding the HPLP scores, the overall score, nutrition subscale score, and self-actualization subscale score were significantly and negatively associated with the CES-D depression score (p < 0.05-0.01). In other words, depression level was lower in students who exhibited more healthy behaviors, put more emphasis on dietary health, and had higher levels of self-admiration and confidence toward life. Regarding the IAT scores, the overall score and six domain scores were all positively associated (p < 0.01) to the CES-D depression score. In other words, the higher an individual's Internet addiction score was, the higher her depression level was.ConclusionsThe results confirmed the relationship between depression, health-related behaviors, and Internet addiction. The cultivation of health-related behaviors may help in lowering depressive symptoms. Teenagers with depression have higher risks of developing Internet addiction, and such addiction is likely to affect their daily functioning.

Project description:BACKGROUND AND OBJECTIVES:Internet addiction is an increasing problem among university students worldwide. The Internet provides numerous educational advantages, but too much Internet use can lead to unfavorable outcomes such as social isolation and poor academic achievement. The objectives of the present study were to assess the prevalence of Internet addiction and its associated factors among female students at Jouf University, Saudi Arabia. METHODS:A cross-sectional study using a multistage proportionate sampling technique was done. A self-administered questionnaire was distributed to the female students of Jouf University during face-to-face interviews with them. This questionnaire consisted of two parts; the first is a structured one for identifying sociodemographic features, and the second is Young's Internet Addiction Test (YIAT) to assess Internet use among the students. RESULTS:According to the YIAT scale of Internet addiction, 48.6% of the students were scored to be average Internet users. However, 49.5% and 1.9% of the students had moderate and severe addictions, respectively. The vast majority of students (94.6%) preferred home to access the Internet. Communication was the main purpose of using the Internet as it was reported by 47.3% of the students. The majority of the students (79.5%) utilized mobile phones for Internet access while other devices such as a laptop, tablets and desktop were used by 15.4%, 4.3%, and 3.2% of the students, respectively. More than half of the students (54.6%) used the Internet for an average of more than 4?h every day. Also, more than half (51.4%) used it in the evening being the dominant time of using the Internet. Internet addiction was significantly higher among students with high father education, students who sleep 6?h or less, students who utilize the Internet for entertainment purposes, and students who utilize the Internet mainly in the midnight. CONCLUSION:Nearly half of female students at Jouf University have moderate or severe Internet addiction. The significant predictors of Internet addiction were sleeping hours ??6, midnight as the dominant time for utilizing the Internet and using the Internet for entertainment purposes.

Dataset Information

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

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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.

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