Hongyu Zou

Background: Adolescent depression is a major public health concern, with negative self‐attention bias closely linked to its development. While many studies have explored their complex relationship through latent variable models, few have investigated the directional dynamics and individual symptom differences at a symptom‐specific perspective. Methods: Using the convenience sampling, 2082 adolescents (M _age = 15.26, SD = 1.66; 53.90% girls) from Hubei Province, China, were measured twice for negative self‐attention bias and depressive symptoms, with a 6‐month time interval between measurements. The contemporaneous network and cross‐lagged panel network analyses were both used in this study. Results: The contemporaneous network analysis revealed that the central node and bridge nodes for negative self‐attention bias and depression were consistently PHQ2 (Sad Mood) and NS8 (Negative memory) at both time points. Cross‐lagged panel analysis indicated a bidirectional predictive relationship, with depression exerting a stronger influence on negative self‐attention bias. Key predictive nodes included PHQ6 (Guilty), NS8 (Negative memory), and NS6 (Criticism), while NS2 (Interpersonal injury), PHQ2 (Sad Mood), and NS1 (Failure) were most susceptible to influence from other symptoms. Additionally, significant differences emerged across gender and educational stage. Conclusions: Negative self‐attention and depression share extensive comorbidity mechanisms and directional associations. Interventions should address both common symptoms and group differences. This study offers valuable insights for the precise prevention and treatment of negative self‐attention bias and depression in adolescents.

The increasing prominence of insomnia and internet addiction among university students has raised significant concerns, as these conditions substantially impair physical and mental well-being as well as academic performance. Understanding the dynamic interplay between these phenomena is critical for developing effective interventions. The longitudinal study investigated the bidirectional relationship between insomnia and internet addiction among college students through data collected from 313 participants assessed at three time points, spaced six months apart. The study applied random intercept cross-lagged panel models (RI-CLPM) to examine both between-person and within-person effects. At the between-person level, our findings revealed no significant correlation between insomnia and internet addiction. However, at the within-person level, a reciprocal predictive relationship was found: insomnia at one time point significantly predicted increased internet addiction at the next time point, and vice versa. These results highlighted the dynamic and mutually reinforcing interaction between insomnia and internet addiction over time, offering valuable insights into the processes underlying their co-occurrence. By using the RI-CLPM methodology, this study enhanced understanding of how fluctuations in insomnia and internet addiction occur at the individual level, moving beyond the understanding of them as trait-like phenomena. These results emphasized the importance of addressing both issues concurrently in interventions for college students.

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.

While the association between self-esteem and body image is well established, research on their long-term causal relationship in young people remains limited. This study addressed this gap by using three-wave longitudinal data and random intercept cross-lagged panel models to explore the bidirectional dynamics between self-esteem and body image, as well as the mediating role of psychological resilience. A sample of 313 college students (270 females; 43 males; mean age = 19.56 years; SD = 0.78) completed assessments of their self-esteem, psychological resilience, and body image at three time points spaced six months apart. The results revealed a reciprocal relationship between self-esteem and body image at the within-individual level, with psychological resilience mediating the effect of self-esteem on future body image. These findings highlight the importance of enhancing self-esteem and fostering psychological resilience in interventions aimed at improving body image among college students.