Search Results (4)

Background/Objectives: Research comprehensively analyzing the psychological characteristics and factors related to smartphone addiction in Korean children and adolescents at risk for depression remains scarce. This study utilized large-scale cohort data to examine the differences in psychological characteristics between an at-risk group for depression and a control group, and to identify the specific factors influencing smartphone addiction within the at-risk group. Methods: Data were obtained from the school-based cohort of internet and smartphone users conducted by the National Center for Mental Health (NCMH), involving a total of 2294 children and adolescents (1009 in the at-risk for depression group and 1285 in the control group). Assessment tools included the Children’s Depression Inventory (CDI), State-Trait Anxiety Inventory for Children (STAIC/TAIC), Self-Esteem Scale (SES), Self-Control Scale, Aggression Questionnaire (K-AQ), School Bullying (SB) scale, and the Smartphone Addiction Scale-Short Form (SAS-SV). Results: Analysis of Covariance (ANCOVA) revealed that the at-risk group exhibited significantly higher levels of anxiety, aggression, involvement in school bullying, and smartphone addiction compared to the control group, while showing lower levels of self-esteem and self-control. Furthermore, multiple regression analysis indicated that higher anxiety and lower self-control were significant predictors of increased smartphone addiction levels. Conclusions: These findings support the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, which posits that emotional vulnerability and deficits in executive functions lead to addictive behaviors. The results suggest that reducing anxiety and enhancing self-control are critical factors in the prevention of smartphone addiction among children and adolescents. Full article

Problematic smartphone use (PSU) has become a growing concern among young populations, raising significant issues for their physical and psychological well-being. Guided by Compensatory Internet Use Theory and the Interaction of Person–Affect–Cognition–Execution (I-PACE) model, this study examined the associations between different forms of childhood trauma and PSU. Participants were 2717 college students (661 males, 22.49%; Mage = 19.81 years). Two chain mediation models were tested, and latent profile analysis (LPA) was employed to capture individual differences from a person-centred perspective. LPA revealed three distinct trauma profiles: low childhood trauma, moderate childhood abuse, and high childhood abuse. Across both variable-centred and person-centred ap-proaches, rumination and social anxiety were identified as mediators linking childhood trauma to PSU. These findings advance understanding of the pathways through which childhood trauma contributes to PSU in college students. By integrating variable- and person-centred approaches, the study highlights the importance of cognitive–emotional mechanisms and provides implications for targeted prevention and intervention strategies. Full article

Since the COVID-19 outbreak, people have been spending more time in the online world because of restrictions on face-to-face communication due to epidemic prevention controls. This has also brought the issue of Internet addiction, including the overuse and negative effects of short videos, to the forefront of attention. Past research has found that Internet addiction has a negative impact on well-being. However, there is a special concept of positive emotion called “serendipity” (小确幸). Serendipity provides a small, fleeting but positive experience, yet it is often associated with negative perceptions from an outside perspective. However, the relationship between short video addiction and serendipity is not yet known. Based on this, a theoretical model was developed in the context of the I-PACE model. To understand the relationship between short video addiction and serendipity among college students, in this study, we conducted snowball sampling and distributed online questionnaires using the Wenjuanxing platform. The target population of the questionnaire distribution was vocational college students in China, of whom 985 valid study participants responded, yielding a valid return rate of 82.1%. Of the respondents, 410 (41.6%) were male and 575 (58.4%) were female. The results were as follows: a. short video flow had a positive relationship with serendipity, a negative relationship with achievement motivation, and a positive effect on short video addiction; b. short video addiction had a positive effect on serendipity and a negative effect on achievement motivation; and c. serendipity had a negative impact on achievement motivation. This shows that short video addiction, like other Internet addictions, can have a negative impact on students’ learning. Full article

This one-year longitudinal study examined trait emotional intelligence as a predictor of Internet gaming disorder (IGD). To date, only cross-sectional research has been conducted to test the protective effects of emotional intelligence against IGD tendency. Based on the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, this study aimed to address the research gap by examining not only the direct effects of trait emotional intelligence, but also its indirect effects (via depressive symptoms and coping flexibility) on IGD, with both a cross-sectional and longitudinal design. The participants were 282 Chinese university students (mean age = 20.47; 39.4% males) who voluntarily completed an anonymous questionnaire at both baseline (W1) and one-year follow-up (W2). Path analysis results revealed that trait emotional intelligence had a protective but indirect effect on IGD tendency in both our cross-sectional and longitudinal data. Depression was found to have a significant, full mediating effect on the relationship between: (i) trait emotional intelligence and IGD tendency (W2) and (ii) coping flexibility and IGD tendency (W2), after adjusting for IGD tendency at the baseline (W1). Gender invariance of the path coefficient was also observed in the prospective model. This study provided longitudinal evidence to support the I-PACE model. Interventions should address both IGD and depressive symptoms, and school-based workshops to increase emotional intelligence and coping flexibility are also recommended. Full article