Objective: Non-pharmacological interventions (NPIs) are effective in treating gaming disorder (GD). However, studies have not comprehensively evaluated the most effective NPIs. This systematic review and meta-analysis aimed to evaluate the effects of NPIs on the prevention and reduction of GD in the general population with GD. Methods: We searched five databases (MEDLINE, Embase, Cochrane CENTRAL, PsycINFO, and CINAHL) for English-language randomized controlled trials (RCTs) published till May 12, 2024, using Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Two independent reviewers selected studies, extracted data, and assessed quality using the Cochrane Risk of Bias Tool (RoB2). Meta-analyses were conducted using a random-effect model, with effect sizes calculated using Hedges’s g and heterogeneity assessed using I2 statistics. Results: A total of 18 RCTs involving 1,950 participants were included. The NPIs included psychotherapy, behavioral interventions, and other strategies. The pooled analysis showed a significant reduction in GD severity (Hedges’s g=-0.82; 95% confidence interval, -1.23 to -0.52; I2=90.36%). Psychotherapy, particularly cognitive-behavioral therapy, showed the most substantial effect (10 studies, 1,036 participants; Hedges’s g=-1.34). Behavioral interventions (4 studies, 456 participants) and prevention-focused interventions (6 studies, 1,164 participants) had smaller but positive effects. Subgroup analyses revealed greater effectiveness of treatment interventions in adults than in adolescents. Sensitivity analyses confirmed the robustness of these results despite high heterogeneity (I2=90.36%). Conclusion NPIs, particularly psychotherapy, are effective in reducing GD severity. However, more high-quality RCTs are needed robust, evidence-based treatment guidelines.

Objective: Non-pharmacological interventions (NPIs) are effective in treating gaming disorder (GD). However, studies have not comprehensively evaluated the most effective NPIs. This systematic review and meta-analysis aimed to evaluate the effects of NPIs on the prevention and reduction of GD in the general population with GD. Methods: We searched five databases (MEDLINE, Embase, Cochrane CENTRAL, PsycINFO, and CINAHL) for English-language randomized controlled trials (RCTs) published till May 12, 2024, using Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Two independent reviewers selected studies, extracted data, and assessed quality using the Cochrane Risk of Bias Tool (RoB2). Meta-analyses were conducted using a random-effect model, with effect sizes calculated using Hedges’s g and heterogeneity assessed using I2 statistics. Results: A total of 18 RCTs involving 1,950 participants were included. The NPIs included psychotherapy, behavioral interventions, and other strategies. The pooled analysis showed a significant reduction in GD severity (Hedges’s g=-0.82; 95% confidence interval, -1.23 to -0.52; I2=90.36%). Psychotherapy, particularly cognitive-behavioral therapy, showed the most substantial effect (10 studies, 1,036 participants; Hedges’s g=-1.34). Behavioral interventions (4 studies, 456 participants) and prevention-focused interventions (6 studies, 1,164 participants) had smaller but positive effects. Subgroup analyses revealed greater effectiveness of treatment interventions in adults than in adolescents. Sensitivity analyses confirmed the robustness of these results despite high heterogeneity (I2=90.36%). Conclusion NPIs, particularly psychotherapy, are effective in reducing GD severity. However, more high-quality RCTs are needed robust, evidence-based treatment guidelines.

Objective: Non-pharmacological interventions (NPIs) are effective in treating gaming disorder (GD). However, studies have not comprehensively evaluated the most effective NPIs. This systematic review and meta-analysis aimed to evaluate the effects of NPIs on the prevention and reduction of GD in the general population with GD. Methods: We searched five databases (MEDLINE, Embase, Cochrane CENTRAL, PsycINFO, and CINAHL) for English-language randomized controlled trials (RCTs) published till May 12, 2024, using Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Two independent reviewers selected studies, extracted data, and assessed quality using the Cochrane Risk of Bias Tool (RoB2). Meta-analyses were conducted using a random-effect model, with effect sizes calculated using Hedges’s g and heterogeneity assessed using I2 statistics. Results: A total of 18 RCTs involving 1,950 participants were included. The NPIs included psychotherapy, behavioral interventions, and other strategies. The pooled analysis showed a significant reduction in GD severity (Hedges’s g=-0.82; 95% confidence interval, -1.23 to -0.52; I2=90.36%). Psychotherapy, particularly cognitive-behavioral therapy, showed the most substantial effect (10 studies, 1,036 participants; Hedges’s g=-1.34). Behavioral interventions (4 studies, 456 participants) and prevention-focused interventions (6 studies, 1,164 participants) had smaller but positive effects. Subgroup analyses revealed greater effectiveness of treatment interventions in adults than in adolescents. Sensitivity analyses confirmed the robustness of these results despite high heterogeneity (I2=90.36%). Conclusion NPIs, particularly psychotherapy, are effective in reducing GD severity. However, more high-quality RCTs are needed robust, evidence-based treatment guidelines.

Objective: Non-pharmacological interventions (NPIs) are effective in treating gaming disorder (GD). However, studies have not comprehensively evaluated the most effective NPIs. This systematic review and meta-analysis aimed to evaluate the effects of NPIs on the prevention and reduction of GD in the general population with GD. Methods: We searched five databases (MEDLINE, Embase, Cochrane CENTRAL, PsycINFO, and CINAHL) for English-language randomized controlled trials (RCTs) published till May 12, 2024, using Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Two independent reviewers selected studies, extracted data, and assessed quality using the Cochrane Risk of Bias Tool (RoB2). Meta-analyses were conducted using a random-effect model, with effect sizes calculated using Hedges’s g and heterogeneity assessed using I2 statistics. Results: A total of 18 RCTs involving 1,950 participants were included. The NPIs included psychotherapy, behavioral interventions, and other strategies. The pooled analysis showed a significant reduction in GD severity (Hedges’s g=-0.82; 95% confidence interval, -1.23 to -0.52; I2=90.36%). Psychotherapy, particularly cognitive-behavioral therapy, showed the most substantial effect (10 studies, 1,036 participants; Hedges’s g=-1.34). Behavioral interventions (4 studies, 456 participants) and prevention-focused interventions (6 studies, 1,164 participants) had smaller but positive effects. Subgroup analyses revealed greater effectiveness of treatment interventions in adults than in adolescents. Sensitivity analyses confirmed the robustness of these results despite high heterogeneity (I2=90.36%). Conclusion NPIs, particularly psychotherapy, are effective in reducing GD severity. However, more high-quality RCTs are needed robust, evidence-based treatment guidelines.

Objective: Non-pharmacological interventions (NPIs) are effective in treating gaming disorder (GD). However, studies have not comprehensively evaluated the most effective NPIs. This systematic review and meta-analysis aimed to evaluate the effects of NPIs on the prevention and reduction of GD in the general population with GD. Methods: We searched five databases (MEDLINE, Embase, Cochrane CENTRAL, PsycINFO, and CINAHL) for English-language randomized controlled trials (RCTs) published till May 12, 2024, using Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Two independent reviewers selected studies, extracted data, and assessed quality using the Cochrane Risk of Bias Tool (RoB2). Meta-analyses were conducted using a random-effect model, with effect sizes calculated using Hedges’s g and heterogeneity assessed using I2 statistics. Results: A total of 18 RCTs involving 1,950 participants were included. The NPIs included psychotherapy, behavioral interventions, and other strategies. The pooled analysis showed a significant reduction in GD severity (Hedges’s g=-0.82; 95% confidence interval, -1.23 to -0.52; I2=90.36%). Psychotherapy, particularly cognitive-behavioral therapy, showed the most substantial effect (10 studies, 1,036 participants; Hedges’s g=-1.34). Behavioral interventions (4 studies, 456 participants) and prevention-focused interventions (6 studies, 1,164 participants) had smaller but positive effects. Subgroup analyses revealed greater effectiveness of treatment interventions in adults than in adolescents. Sensitivity analyses confirmed the robustness of these results despite high heterogeneity (I2=90.36%). Conclusion NPIs, particularly psychotherapy, are effective in reducing GD severity. However, more high-quality RCTs are needed robust, evidence-based treatment guidelines.

Purpose: This study aimed to identify the mediating effect of social phobia between social interaction anxiety and endemic blue among university students who experienced the coronavirus disease 2019 (COVID-19) pandemic. Methods: This study employed a descriptive correlational design. The participants were 196 university students from 10 universities located in four major regions across the Republic of Korea. Data were collected from July 12 to 31, 2022, through an online self-reported questionnaire and were then analyzed using an independent t-test, one-way ANOVA with Scheffé test, Pearson’s correlation coefficient, and multiple regression. The mediating effect was analyzed using PROCESS macro model 4 with a bootstrapping method using IBM SPSS 27.0. Results: There were significant positive correlations among social interaction anxiety, social phobia, and endemic blue. Social interaction anxiety had significant effects on social phobia (β=0.77, p<.001) and social interaction anxiety (β=0.33, p<.001) and social phobia had a significant effect on endemic blue (β=0.29, p=.001). Concerning the influence of social interaction anxiety on endemic blue, a significant indirect mediating effect of social phobia was confirmed, and the size of the indirect effect was 0.14 (0.04~0.24). Conclusion In order to manage the social and psychological health of university students who experienced the COVID-19 pandemic period, it is necessary to develop strategies to overcome endemic blue that reduce social interaction anxiety and take into account the mediating effect of social phobia.

Purpose: This study is to identify factors related to health-related quality of life in one-person households across the life cycle by analyzing data from the 2021 Korean National Health and Nutrition Examination Survey. Methods: The subjects of one-person households were divided into 195 young adults, 273 middle-aged people, and 490 elderly people according to life cycle. Data were analyzed by complex sample cross tabulation, complex sample t-test, complex sample ANOVA, and complex sample multiple regression analysis using IBM SPSS 26.0. Results: In young adults, subjective health status, daily activity limitation, and stress level explained 41% of health-related quality of life, and in middle age, income level, education level, occupation, marital status, subjective health status, stress level, and depression had a 60% explanatory power. In old age, education level, subjective health status, daily activity limitation, stress level, and depression explained 53% of health-related quality of life. Conclusion In order to effectively improve the health-related quality of life of one-person households, it is necessary to establish a customized program considering the influencing factors across the life cycle and systematically manage it according to the flow of the life cycle.

This systematic review and meta-analysis aimed to understand the characteristics of medication adherence interventions for older adults with chronic illnesses, and to investigate the average effect size by combining the individual effects of these interventions. Data from studies meeting the inclusion criteria were systematically collected in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The results showed that the average effect size (Hedges’ g) of the finally selected medication adherence interventions for older adults with chronic illnesses calculated using a random-effects model was 0.500 (95% confidence interval [CI], 0.342−0.659). Of the medication adherence interventions, an implementation intention intervention (using face-to-face meetings and telephone monitoring with personalized behavioral strategies) and a health belief model–based educational program were found to be highly effective. Face-to-face counseling was a significantly effective method of implementing medication adherence interventions for older adults with chronic illnesses (Hedges’ g= 0.531, 95% CI, 0.186−0.877), while medication adherence interventions through education and telehealth counseling were not effective. This study verified the effectiveness of personalized behavioral change strategies and cognitive behavioral therapy based on the health belief model, as well as face-to-face meetings, as medication adherence interventions for older adults with chronic illnesses.

PURPOSE: This study is a systematic review and meta-analysis designed to investigate effects of alcohol management programs for Korean university students. METHODS: Research results published until October 14, 2016 were systematically collected in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). A total of 12 papers were selected for the meta-analysis. To estimate the effect size, meta-analysis of the studies was performed with the Comprehensive Meta-Analysis 3.0. RESULTS: The mean effect size of 12 studies in total (Hedges' g=-0.36; 95% Confidence Interval [CI]: -0.76~0.05) was not significant statistically. In a study of college students classified as problematic drinking (total of 9), the drinking program showed a median effect size of Hedges' g=-0.57(95% CI: -0.96~-0.18). Results of the drinking-related outcome variables showed a significant effect size (Hedges' g=-0.61; 95% CI: -1.10~-0.13), but psychosocial related outcome variables were not significant (Hedges' g=-0.50; 95% CI: -1.24~0.23). CONCLUSION: It can be seen that the alcohol management program for college students has a significant effect on controlling the problem drinking of college students. In addition, application of a differentiated drinking program with problem drinkers selected as a risk group will be effective in controlling drinking and drinking related factors.
Alcohol Drinking ; Drinking ; Humans ; Korea

PURPOSE: This study investigates the status of medication use of the elderly with chronic disease taking non-opioid analgesics and attempts to identify factors influencing medication adherence. METHODS: Data were collected from September 1 to October 19, 2016. A structured questionnaire was used for face-to-face interview with a convenience sample of 161, elderly people with chronic disease taking non-opioid analgesics. The survey included questions about status of medication use, medication adherence, symptom experience, depression and family function. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson's correlation coefficients, and stepwise multiple regression with IBM SPSS 23.0 program. RESULTS: The mean score of medication adherence of the elderly with chronic disease was 4.48±2.35. Experiences of side effects (β=.31, p<.001), use of over-the-counter pain medication (β=.19, p=.009), and family function (β=.16, p=.031) were identified as significant predictors. The final model explained 18.0% of the variation of medication adherence of the elderly with chronic disease taking non-opioid analgesics (F=12.30, p<.001). CONCLUSION: Therefore, as a strategy to improve medication adherence of the elderly with chronic disease, therapeutic intervention should be developed to improve family function and to manage with personalized plans considering experiences of side effects and use of over-the-counter pain medication.