Depression causes mental health problem among young group especially university students due to stress resulted from studies and independent living. Depression can cause disability and even mortality. This study aimed to determine the prevalence of depression and the factors influencing depression among university students in Malaysia. This cross-sectional study involved 1,023 university students (response rate 90.4%). Depression was assessed using the Centre for Epidemiological Studies Short Depression Scale (CESD -10). Binary logistic regression was used to determine predictors of depression based on sociodemographic, physiological, lifestyle, and health characteristics. Approximately 30% respondents experienced depression, which included 4.4% of severe depression. The risk of depression was 2.52 times higher (95% CI: 1.71-3.71) in second year students compared to first year students, and 1.63 times higher (95% CI: 1.08-2.45) in students staying outside campus compared to students staying inside campus. Students from poor, not well-off, and quite well-off family background had 15.26 (95% CI: 2.77-84.88), 4.85 (95% CI: 1.01-23.34) and 5.62 times (95% CI: 1.16-27.25) higher chance for depression than wealthier students, respectively. Students with mild, moderate, and severe sleeping problem were 2.50 times (95% CI: 1.61-3.88), 3.34 times (95% CI: 2.18-5.11), and 3.66 times (95% CI:1. 93 -6. 94) more likely to be depressed than those without sleeping problem, respectively. Students with post-traumatic stress disorder (PTSD) were 1.42 times higher (95% CI: 1.07-2.56) to suffer from depression. Higher institution need to pay special attention to students especially those in their second year, living off campus, from lower economic status, with sleeping problem, and with PTSD.
We examined the mediating roles of communication and marital affect in the association between marital quality and neuroticism. Guided by the social investment theory and the personality-relationship transactions model, we tested the actor-partner interdependence mediation model to examine the associations among the variables. Participants were 268 Chinese newlywed couples who were a maximum of 3 years into their first marriage. The path model indicated that, first, both spouses' marital quality at Time 1 was related with their own neuroticism at Time 3 after controlling for confounding variables. However, after controlling for neuroticism at Time 1, husbands' marital quality was not directly associated with their own neuroticism. Second, for wives, communication and marital affect at Time 2 fully mediated the association between marital quality and neuroticism. Conversely, for husbands, the multiple specific indirect effects were not significant. These findings suggest that communication and marital affect are mediators underlying the association between marital quality and neuroticism. Moreover, the potential mechanisms underlying the relationship effects differ between husbands and wives. The implications and future directions of these results were discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Based on the Vulnerability Stress Adaptation model, this study examined the relationship between forgiveness and marital stability, and provides a first look at the mediating role of marital quality in this association during the first 3 years of marriage based on three annual waves of data collected from 268 Chinese couples. Tests of actor–partner interdependence mediation models revealed direct effects of decisional forgiveness and emotional forgiveness on the concurrent levels of marital stability for husbands, and indirect effects of emotional forgiveness on the concurrent and longitudinal levels of marital stability through marital quality for both husbands and wives. There was also an indirect effect of wives’ emotional forgiveness on concurrent and longitudinal levels of husbands’ marital stability through their wives’ marital quality. Thus, emotional forgiveness, rather than decisional forgiveness, contributes to longitudinal levels of marital stability through marital quality. Theoretical implications and future directions for research are discussed.
Introduction: College students are at high risk of problematic internet use (PIU). A great amount of research has focused on the PIU among college students. However, little is known about the change pattern of PIU across the college years. Moreover, how peer internet overuse behavior and peer attitude toward internet overuse work together to shape college students' PIU trajectory, and whether such peer contagion effects are equal for all students remain unclear. The present study used latent growth curve model to examine these issues. Methods: A total of 2572 Chinese college students (M age = 18.37, SD = 0.85; 65% girls) participated in the study. They completed questionnaires regarding demographics, peer internet overuse behavior, peer attitude toward internet overuse, and friendship satisfaction at Wave 1, and PIU at Waves 1-4. Results: After controlling for covariates, the indings revealed that (a) PIU slightly increased before the second year of college and then declined rapidly; (b) both peer internet overuse behavior and peer attitude toward internet overuse were related to the PIU at baseline; however, only peer internet overuse behavior was associated with the change of PIU; and (c) the effect of peer internet overuse behavior on PIU change was moderated by friendship satisfaction and gender. Conclusions: These indings emphasized the dynamic and context-sensitive nature of PIU and clariied how peer contagion unfolded with peer internet overuse behavior and peer attitude toward internet overuse. Theoretical implications and application of these indings are discussed.
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