Background: The current study aims to track the changes in the levels of smart phone addiction (SPA) and depressive symptoms between pre and during COVID-19 and potential risk factors of among Chinese college students in a four-wave longitudinal study. Methods: The participants were recruited from a Chinese university (n = 195; 58.5% females). The first three-wave surveys were conducted before COVID-19 (during December of Year 1, June of Year 1, and December of Year 2 of their college study; Time 1, Time 2, Time 3), while the fourth survey (Time 4; during June of Year 2 of their college study) was conducted in June 2020 during COVID-19. COVID-19-related factors, including quarantine, lockdown, boredom, emotional loneliness, and social loneliness, were investigated. Results: The results showed a significant increase in the levels of depressive symptoms and prevalence of probable depression during COVID-19 (69.2%) compared to those 18 months, 12 months and 6 months before COVID-19 (41.5, 45.6, 48.2%) but non-significant changes in SPA. Boredom and emotional loneliness were positively associated with both SPA and depressive symptoms during COVID-19. Social loneliness was also positively associated with depressive symptoms during COVID-19. Quarantine and lockdown were not significantly associated with SPA or depressive symptoms. Discussion and conclusions: The results highlight that the study population may be a high risk group of probable depression. Future studies should continue to track these mental and behavioral status with the progression of the epidemic. The identified emotional factors could be used to reduce depressive symptoms during COVID-19 and prevent the potential risk of SPA.

Exploring the longitudinal relationship between career adaptability, career commitment, career identity, and career well-being among Chinese undergraduate nursing students. A mediation effect analysis was performed. The Career Adaptability Scale, the Chinese version of Career commitment, the Career identity Scale, and the Career well-being Scale were used as research instruments. Six hundred ninety-two nursing students were followed up in two waves to explore the relationships among career adaptability, career commitment, career identity, and career well-being. Model comparison was performed to explore the differences in such relationships between low and high-career interests. Career commitment at T1 mediated the relationship between career adaptability at T1 and career identity at T2 and that between career adaptability at T1 and career well-being at T2. Significant differences were observed between the mediation models of nursing students with high and low career interests. Career commitment plays a longitudinal mediator role in the relationship between career adaptability and career identity and the relationship between career adaptability and career well-being.

Background: The common-sense model of illness suggests that mental representations of health threats may affect one’s behavioral reactions to them and health status. Internet gaming disorder is a newly defined mental disorder. Illness representations of internet gaming disorder may affect one’s risk of internet gaming disorder. In turn, symptoms of internet gaming disorder may affect one’s perceptions of the disorder. Objective: This study aimed to investigate the relationships between illness representations and symptoms of internet gaming disorder in college students. Methods: A 1-year longitudinal study was conducted with a convenience sample of Chinese college students (n=591; 342/591, 57.9% female). Results: Of the participants, 10.1% (60/591) and 9.1% (54/591) were classified as having probable internet gaming disorder at baseline (T1) and follow-up (T2), respectively. The correlations between some dimensions of illness representations regarding internet gaming disorder (ie, consequence, timeline, personal control, treatment control, and concern) at T1 and symptoms of internet gaming disorder at T2 and between symptoms of internet gaming disorder at T1 and the dimensions of illness representations at T2 (ie, consequence, timeline, personal control, and emotional response) were statistically significant. The cross-lagged model fit the data well ((χ2/df=2.28, comparative fit index=.95, root mean square error of approximation=.06) and showed that internet gaming disorder at T1 was positively associated with unfavorable illness representations at T2. Conclusions: Individuals with more severe symptoms of internet gaming disorder had more pessimistic perceptions about the disorder. Such cognitive perceptions may affect one’s emotional and behavioral reactions towards the disorder (eg, greater levels of depression and low self-control intention) and should be modified by educational programs and psychological interventions.