Background: With the popularity of smartphone and their increasingly rich functions, people’s attachment to their phones is increasing. While people enjoy the convenience that smartphone bring (eg, accessing information and socializing), it also leads to problematic smartphone use (eg, phubbing). Previous research has shown that boredom proneness can trigger phubbing. However, the underlying psychological mechanisms are not yet clear. Methods: To address this research gap, we surveyed 556 Chinese college students (M_age = 18.89 years, SD = 1.18) during the COVID-19 pandemic and all participants completed a self-report questionnaire. Drawing the Interaction of Person-Affect-Cognition-Execution model (I-PACE) for addictive behaviors, this study developed and examined a multiple mediation model incorporating boredom proneness, loneliness, fear of missing out (FoMO), and phubbing. Results: (1) Boredom proneness could positively predict phubbing; (2) loneliness and FoMO mediated the relationship between boredom proneness and phubbing, respectively; and (3) loneliness and FoMO sequentially mediated the relationship between boredom proneness and phubbing. Conclusion: These findings are not only valuable for understanding the underlying mechanisms linking boredom proneness and phubbing, but also suggest that three types of interventions could be effectively used to decrease the risk of phubbing among college students, namely, reducing boredom proneness, relieving loneliness, and decreasing FoMO.

Background: Career-related social support (CRSS) significantly influences job search behavior (JSB). However, the mechanisms and boundary conditions through which CRSS impacts JSB, particularly during the COVID-19 pandemic, remain unclear. This study examines the mechanisms and boundary conditions through which CRSS influences the JSB among final-year college students during the COVID-19 pandemic, guided by social cognitive career theory (SCCT). Methods: A cross-sectional online survey was conducted in 2021 among 596 final-year college students from two public universities in China, during the COVID-19 pandemic. The survey collected data on CRSS, CDMS, employment pressure, and JSB. Results: The findings revealed that career decision-making self-efficacy (CDMS) partially mediates the relationship between CRSS and JSB. Moreover, employment pressure moderates both the direct and mediated pathways; when employment pressure is low, CRSS does not significantly enhance JSB, whereas under a high employment pressure, JSB significantly increases, with higher CRSS. In the mediated pathway, higher CDMS strongly predicts JSB under low employment pressure, but its influence diminishes as the employment pressure rises. Conclusions: These findings underscore the critical roles of CDMS and employment pressure in shaping JSB, offering valuable insights for career support initiatives to facilitate the transition of graduates into the workforce during challenging periods.

In school settings, nomophobia—a newly identified form of problematic mobile phone use characterized by anxiety and discomfort experienced when an individual is unable to use or access their smartphone—poses significant challenges to students’ learning and daily life. Prior research on nomophobia has predominantly adopted a variable-centered perspective. However, if nomophobia is heterogeneous across subgroups, acknowledging this heterogeneity may inform the advancement of more tailored and productive therapeutic methods. Latent profile analysis (LPA) was conducted separately among high school students (N = 446) and college students (N = 667) to identify potential subgroup heterogeneity in nomophobia. To examine cross-group similarities in nomophobia profiles, a multi-group LPA was employed. Based on multiple model fit criteria, a three-profile solution—high nomophobia, moderate nomophobia, and low nomophobia—was identified for both groups. However, the multi-group LPA provided only partial support for the similarity of nomophobia profiles across educational stages, specifically in terms of configural and dispersion similarity. While similar nomophobia profiles emerged across groups, the partial equivalence suggests that intervention strategies for nomophobia may not be universally applicable across different educational levels. Additional studies should investigate the mechanisms underlying students’ nomophobia profiles and to inform differentiated interventions for educators, institutions, and policymakers.

Objectives: acute stress disorder (ASD) became prevalent among various populations during the COVID-19 pandemic, yet little research has examined the heterogeneity of ASD symptoms among college students. The purpose of this research was to explore subgroups of ASD symptoms using latent profile analysis (LPA) and to explore the predictors and mental health outcomes associated with these profiles. Methods: Using the person-centered method, we recruited 1198 college students (71.7% female) who self-reported their ASD, perceived social support, anxiety, depression, and life satisfaction from two Chinese universities following the COVID-19 outbreak. Results: The LPA results found three ASD symptom severity profiles: low (56.7%), moderate (31.6%), and high (11.7%), particularly characterized by reexperiencing and arousal symptoms. This study found that students in the moderate and high ASD subgroups were more likely to be female, have lower socioeconomic status, belong to minority groups, report lower self-rated health, and perceive less social support compared to those in the low ASD subgroup. Furthermore, compared to the low and moderate ASD subgroups, the high ASD subgroup was linked to elevated anxiety and depression and lower life satisfaction. Conclusions: These findings underscore the significance of identifying specific ASD symptom subgroups to effectively target prevention and intervention efforts.

Background: The COVID-19 outbreak has profoundly affected the psychological well-being of university students globally. Previous studies have found a positive longitudinal link between fear of COVID-19 (FoC-19) and internet addiction. However, there is a notable gap in the literature regarding COVID-19-specific predictors and underlying mechanisms of internet gaming addiction (IGA). Methods: Integrating the compensatory internet use theory and social role theory as frameworks, a three-wave longitudinal approach was used in this study to test the hypothesized model. Data spanning a duration of one year were gathered from undergraduate students in China. From 2021 to 2022, we conducted online self-report surveys in the midst of the COVID-19 pandemic to obtain participants’ levels of FoC-19, loneliness, depressive symptoms, and IGA. Results: FoC-19 showed a longitudinal positive relationship with IGA. The longitudinal link between FoC-19 and IGA was mediated by loneliness and depression. Gender moderated the direct effect of FoC-19 on IGA, with this effect being significant only among male students and not among their female counterparts. Conclusion: These findings advance our comprehension of the mechanisms and gender differences underlying the link between FoC-19 and IGA, and provide a novel perspective for interventions to reduce IGA.