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• We studied associations between game use and mental health in early adulthood. • Risky game users self-reported low satisfaction and happiness. • High prevalence of major depressive disorder and suicidal ideation in risky users. • Happiness mediated game use and lifetime suicidal ideation in risky users. : The number of digital game users is increasing, and so is attention to digital gaming's effects on mental health. We aimed to reveal if risky (game addiction) and usual game use (non-risky) are associated with mental health in early adulthood. : Using data from the nationwide cross-sectional Korean Epidemic Catchment Area study for psychiatric disorders, 415 participants aged 18–30 years were divided into "non-game," "usual game," and "risky game" user groups based on the previous month's game use and cut-off value of game overuse screening questionnaire. Multiple linear and logistic regressions revealed the association between game use groups, perceived mental health, and lifetime prevalence of clinical mental disorders including suicidal ideation. : Among the 415 participants, 167 were non-game users, 175, usual game users, and 73, risky game users. Risky game users self-reported decreased satisfaction and happiness, and a significantly higher lifetime prevalence of major depressive disorder, alcohol dependence, and suicidal ideation. Usual game users were significantly associated with higher lifetime prevalence of alcohol dependence and suicidal ideation. Self-reported happiness partially mediated between game use and lifetime suicidal ideation in risky, but not usual game users. : This study is a cross-sectional observational study which was not possible to define the temporal relationship. : Both risky and usual game use are associated with mental health problems in early adulthood, indicating the need for careful mental health screening on not only risky game users but also usual game users. [ABSTRACT FROM AUTHOR]

Background: We aimed to investigate the gender differences in the associations between the individual symptoms of AUD and MDD and SB using a network analysis.Methods: Data from the 2011 and 2016 Korean Epidemiologic Catchment Area Study were analyzed. Variables were assessed using the Korean version of Composite International Diagnostic Interview. Of 11,124 total participants, 907 endorsing screening questions for AUD and MDD were included. The undirected and directed network structures of AUD, MDD, and SB were estimated and centrality and bridge centrality indices were examined.Results: The overall undirected network structure and global strength did not differ between genders. While three AUD symptoms had high strength indices in network structure for both genders, depressed mood for men and worthlessness/guilt for women were the bridge symptoms linking other MDD symptoms and AUD symptoms to SB and had the strongest influence on SB. Directed network indicated that for men, AUD symptoms were related to SB via MDD symptoms with tolerance being a dominant item. For women, none of the AUD symptoms were related to MDD symptoms and SB, and insomnia/hypersomnia was a dominant item. Worthlessness/guilt was the directly linked to SB in the directed network analysis for both genders.Limitations: Cross-sectional design and the use of combined dataset with different time points.Conclusions: Some differential associations at the level of individual symptoms of AUD and MDD with SB were observed between men and women. Targeting to the central and bridging symptoms may improve the outcomes of SB interventions implemented among patients with AUD or MDD. [ABSTRACT FROM AUTHOR]

Aims: The aim of the current study was to develop and validate a short-form of the internet overuse screening questionnaire (IOS-Qs). Methods: A total of 571 adults were recruited from a representative, stratified, and multistage cluster sample. Among participants, 188 and 383 were used in the development and validation of the IOS-Qs, respectively. Results: Experts' ratings and Rasch model analyses led to the selection of 8 items from the IOS-Qs; latent-class analysis using these 8 items revealed an estimated prevalence of 8.6% (33 out of 383) of problematic internet over-users. Problematic internet over-users were positively associated with a 1-year prevalence rate of any mental disorder (OR 3.08, p = 0.008), mood disorder (OR 7.11, p = 0.003), and depressive disorder (OR 5.22, p = 0.016). The receiver operating characteristic curves identified an optimal cutoff score of 9.5 for differentiating problematic internet over-users from unproblematic internet users with 94% sensitivity and 94% specificity. Conclusion: The results suggest that the IOS-Qs was valid, and items including social isolation were crucial to the brief distinction of at-risk internet users. Because of its brevity, the questionnaire can be effectively administered as a large-scale survey. [ABSTRACT FROM AUTHOR]

Purpose: Network medicine considers networks among genes, diseases, and individuals. Networks of mental disorders remain poorly understood, despite their high comorbidity. In this study, a network of mental disorders in Korea was constructed to offer a complementary approach to treatment.Methods: Data on the prevalence and morbidity of mental disorders were obtained from the 2006 and 2011 Korean Epidemiologic Catchment Area Study, including 22 psychiatric disorders. Nodes in the network were disease phenotypes identified by Diagnostic and Statistical Manual of Mental Disorders-IV, and the links connected phenotypes showing significant comorbidity. Odds ratios were used to quantify the distance between disease pairs. Network centrality was analyzed with and without weighting of the links between disorders. Degree centrality was correlated with suicidal behaviors and use of mental health services.Results: In 2011 and 2006, degree centrality was highest for major depressive disorder, followed by nicotine dependence and generalized anxiety disorder (2011) or alcohol dependence (2006). Weighted degree centrality was highest in conversion disorder in both years.Conclusions: Therefore, major depressive disorder and nicotine dependence are highly connected to other mental disorders in Korea, indicating their comorbidity and possibility of shared biological mechanisms. The use of networks could enhance the understanding of mental disorders to provide effective mental health services. [ABSTRACT FROM AUTHOR]

Purpose: Near-elderly adults go through many changes in socioeconomic status, such as retirement, which may affect their mental health differently according to when they live. We aimed to compare the prevalence of major depressive disorder (MDD) and its changes according to sociodemographic factors using nationally representative surveys of Korean near-elderly adults conducted 10 years apart.Methods: Nationwide community samples of individuals aged 55-64 years living in 2001 (n = 1256) and 2011 (n = 1066) were compared. Face-to-face interviews were conducted using the Korean version of the Composite International Diagnostic Interview to diagnose MDD. Sociodemographic data were collected using self-reported questionnaires including questions on employment and economic status. We examined differences in MDD prevalence and its association with sociodemographic factors over time by calculating 2011-to-2001 odds ratios (ORs) using multivariable logistic regression models.Results: Among near-elderly people, MDD tended to be more prevalent in 2011 than in 2001. However, only near-elderly men in 2011 showed a higher risk of MDD compared with those in 2001 (2011-to-2001 OR 4.19), while women did not. The prevalence ratio by gender decreased from 7.04 in 2001 to 2.34 in 2011. Among vulnerable sociodemographic groups, a significant increase in MDD was observed in unemployed men (adjusted OR 8.35), but not in unemployed women or other vulnerable groups.Conclusion: This study provides evidence of a substantial increase in MDD in Korean near-elderly men and suggests that unemployment should be considered as an important correlate of MDD in this group. [ABSTRACT FROM AUTHOR]