Objective: Previous studies have revealed associations between sleep quality and mental health, yet the comprehensive role of sleep quality, daytime dysfunction, social exclusion, and self-control in difficulties with emotion regulation remains unclear. This study aimed to elucidate how sleep quality affects emotion regulation difficulties among middle school students through pathways involving daytime dysfunction, social exclusion, and self-control, thereby providing a more comprehensive theoretical basis for mental health interventions. Methods: Utilizing the pittsburgh sleep quality index, the adolescent social exclusion scale, the brief self-control scale, and emotion regulation scale-short form, we assessed 1067 students randomly selected from four middle schools from October to November 2023. After the removal of extreme values (those exceeding 3 standard deviations), 806 students were retained for data analysis. Results: Our findings indicate that poor sleep quality significantly contributes to increased daytime dysfunction(β = 0.86, SE = 0.07, p < .001), which in turn affects social exclusion(β = 0.60, SE = 0.16, p < 0 0.001), self-control abilities(β = 1.27, SE = 0.16, p < .001) and emotion regulation difficulties(β = 1.56, SE = 0.30, p < .001). Social exclusion mediates the relationship between sleep quality and emotion regulation difficulties(Estimate = 0.11, SE = 0.04, 95% CI [0.04, 0.20] ). Conclusion: The aim of this study is to provide new insights into the development of effective intervention measures to improve sleep and mental health in adolescents.

Background: Globally, Internet is a recognized form of leisure, but there are growing apprehensions about the increasing number of individuals developing an addiction to it. Recent research has focused on social issues associated with internet addiction (IA). However, the treatment of IA is currently unclear. This study aimed to explore the relationship between IA treatment outcomes and different intervention strategies through systematic review and data analysis of patients who received different intervention modes. Methods: A meta-analysis was conducted using RevMan 5.4 and Stata 14.2 on 57 literature research data from five Chinese and English databases, PubMed, Embase, Web of Science, Wanfang and CNKI. Result: A total of 57 randomized controlled trials (RCTs) were included in this network meta-analysis involving 3538 IA patients and 13 different interventions. The network meta-analysis results demonstrated that the top four interventions were: rTMS + CBT, drug + others, rTMS, and electro-acupuncture + CBT. Conclusion: Our study indicated that comprehensive therapy had an optimal therapeutic effect on IA patients and rTMS + CBT ranked first among all therapeutic indicators of intervention, indicating optimal clinical effectiveness.

Background: Internet gaming disorder (IGD) is a formal mental disorder leading to personal and social impairment. Although it shares similar physical and psychosocial effects to substance use disorder, the psychological mechanisms underlying IGD remain unclear, although several researches have made significant contributions to its understanding. This study aims to elucidate the correlation between IGD, impulsive personality and risk preference of medical college students in China, from a questionnaire-based investigation. Methods: Based on the cluster random sampling method, a questionnaire survey was conducted among medical college students in Northern Anhui, China from September 3 to October 27, 2020. The questionnaires included the Internet Gaming Disorder Scale (IGD-20), Chinese revised of Barratt Impulsiveness Scale Version 11 (BIS-11), and risk appetite index (RPI). Perform independent sample t-tests, analysis of variance (ANOVA), correlation analysis, and moderating effect analysis using SPSS 23.0. P < 0. 05 is considered statistically significant. Results: 624 participants completed the survey, including 257 males (41.19%) and 367 females (58.81%). All participants were between 18 and 24 years. We found that in IGD and its six different dimensions and RPI, males scored significantly higher than females. Additionally, our finding revealed there is statistical significance in IGD and impulsiveness between gaming group with game time greater than or equal to 4 h and non-gaming group. The IGD and its six different dimensions, among which all except for mood modification are positively correlated with impulsiveness and RPI. Mediating effects indicate that RPI plays a partial mediating role between motor impulsiveness and IGD. Conclusion: The findings shows that there is a certain relationship between impulsivity and RPI, as well as IGD and its dimensions. RPI may be a mediator between impulsivity and IGD, and men have higher IGD. The findings supported the compensatory hypothesis. These findings may contribute to further research and development of intervention and prevention measures for IGD.

Non-suicidal self-injury (NSSI) behaviors pose a significant threat to the physical and psychological well-being of adolescents. Recent research suggests that persistent, uncontrollable and repetitive NSSI can be conceptualized as a behavioral addiction. The addictive feature of NSSI behavior can be assessed using Ottawa self-injury inventory (OSI), the higher addiction score indicates the more serious NSSI behavior. This study aims to explore the relationship of impulsivity and decision-making on the addictive features of NSSI in adolescents with depressive disorder, to explore the influencing factors of behavioral addictive features of NSSI and to predict the addictive features of NSSI. Using a cross-sectional design, a total of 126 adolescent outpatients and inpatients with a mean age of 15.49 years old (M = 15.49, SD = 1.56), male students (n = 28, 22.2%) and female students (n = 98, 77.8%) diagnosed with depressive disorders were recruited according to the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), and clinical interviews were completed by two psychiatrists. NSSI addictive features according to the OSI’s addictive features items. The final group was categorized into three groups: depression without NSSI (n = 42), depression with NSSI without addictive features (n = 44), and depression with NSSI and addictive features (n = 40). The present study employed the Hamilton Depression Scale (HAMD-24), Chinese Revised Barratt Impulsiveness Scale Version 11 (BIS-11), OSI, and the Adolescent Non-Suicidal Self-Injury Questionnaire (ANSSIQ). Cognitive decision-making abilities were assessed using the Iowa Gambling Task (IGT). The depression with NSSI addictive features group had significantly lower total net scores and net scores of block3, block4, and block5 in the IGT than the depression without NSSI group, whereas there was no statistically significant difference between the two in net scores of block1 and block2. Lower scores mean more unfavorable decisions and strategy adjustments. The addictive features of NSSI behaviors were significantly and positively correlated with the severity of NSSI behaviors, depression, and cognitive impulsiveness, and significantly and negatively correlated with the total net score of the IGT. The severity of NSSI behaviors, severity of depression, cognitive impulsiveness positively predicts the addictive features of NSSI behaviors, the total net score of the IGT negatively predicted the addictive features of NSSI behaviors. Adolescents with depressive disorders with NSSI behavioral addictive features had higher severity of depression, exhibited higher cognitive impulsivity, and made more unfavorable decisions when making choices.

During the COVID-19 pandemic, there was an increase in online gaming behaviour among college students. This study aimed to examine the impact of online self-help interventions consisting of different components within the Acceptance and Commitment Therapy (ACT) framework on college students’ gaming disorder and gaming frequency. Additionally, it evaluated the effectiveness of both interventions in addressing psychological distress among college students during the COVID-19 pandemic. One intervention was a full ACT program, which consists of six core components, while the other intervention focused on the engaged components of ACT (specifically targeting value-based actions). The study employed a 2 conditions (Full ACT vs. Engaged ACT) × 3 times (pre-, mid- and post-program) design to examine the effectiveness of these interventions. Each intervention consisted of 10 sessions, delivered at a frequency of five sessions per week over a 2-week period for both groups. The participants in this study were enrolled in two online classes. Participants with gaming disorder scores in the top 20% were selected and assigned to either the Full group (N = 49) or the Engaged group (N = 41) for the interventions. The study assessed outcome variables, including gaming disorder, psychological flexibility, daily gaming hours, weekly gaming days and psychological distress, at pre-intervention, mid-intervention, post-intervention and one-month follow-up for both groups. No significant differences were observed between the two groups on these outcomes at the pre-intervention stage. The findings of this study indicate that both interventions effectively reduced gaming disorder and weekly gaming frequency, while enhancing psychological flexibility. Nonetheless, the Engaged group exhibited a significant reduction in daily gaming hours. There was no substantial change in psychological distress in either group during and after the intervention. The implications and limitations of this study were also reported.