Familial Resilience in Crisis: Navigating the Mediating Landscape of Depressive Symptoms Between Uncertainty Stress and Suicide Behavior Among Chinese University Students.

Background: Previous findings indicate that stress has a profound influence on suicide behavior, but the potential mediating and moderating mechanisms are unknown between uncertainty stress and suicide behavior. The present study, therefore, examined the relationship between uncertainty stress and suicide behavior, the mediating effect of depressive symptoms, and the moderating effect of family relationship in a sample of university students in China. Methods: 1828 university students were assessed anonymously by using the Uncertainty Stress Scale, Center for Epidemiologic Studies Depression Scale, Brief Suicidal Scale, and Family Relationship Scale between May to June in 2021. SPSS 26.0 was used for descriptive statistics and Spearman correlation analysis. PROCESS 3.5 was used to calculate the significance of the mediating and moderating effects of the variables. Results: Moderated mediation model analyses showed that: (a) depressive symptoms partially mediated the link between uncertainty stress and suicide behavior (indirect effect = 0.14, 95%bootstrap CI = 0.10, 0.19). The indirect effect of the depressive symptoms accounted for 67.12% of the total variance in suicide behavior. (b) The indirect association between uncertainty stress and suicide behavior was moderated by family relationship. Specifically, the paths from uncertainty stress to depressive symptoms (interact effect = -0.06, P<0.001) and depressive symptoms to suicide behavior (interact effect = -0.08, P<0.01) were weakened in the context of higher family relationship. Conclusion: Depressive symptoms play a crucial role in bridging uncertainty stress and suicide behavior, while the family relationship can buffer the mediation impact of depressive symptoms. These findings significantly contribute to the prevention and intervention of suicide in Chinese university students.

Network structure of mobile phone addiction and anxiety symptoms among rural Chinese adolescents.

BACKGROUND: The incidence of mobile phone addiction among adolescents in rural areas of China is increasing year by year, and has already exceeded that of some cities. And phone addiction increases the risk of anxiety and poor sleep. Therefore, this study used network analysis to investigate the relationship between mobile phone addiction and anxiety symptoms, and the predictability to sleep quality. METHODS: From September 2021 to March 2022, a total of 1920 rural adolescents in Xuzhou, China were included. The survey included information on phone addiction, anxiety symptoms, and sleep quality. Network analysis was used to estimate the network structure of adolescents' mobile phone addiction and anxiety symptoms. LOWESS curve and linear regression were used to test the predictive ability of node-centrality on sleep quality. RESULTS: In the network of mobile phone addiction-anxiety symptoms, the most influential symptoms were Failure to cut down the time, Anxiety if not used for some time, and Alleviate loneliness. Irritability was the most prominent bridging symptom. Gender difference had no effect on network structure. Nodes in the network are not predictive of sleep quality. CONCLUSION: Failure to cut down the time is the most important symptom, suggesting that measures should be taken to reduce the amount of time spent on mobile phones. For example, increase outdoor exercise, increase the real company of friends and family, in order to reduce the occurrence of mobile phone addiction and anxiety.

How adverse and benevolent childhood experiences influence depression and suicidal ideation in Chinese undergraduates: a latent class analysis

BACKGROUND@#There has been minimal research on the role of benevolent childhood experiences (BCEs) and how such events may offer protection from the insidious effects of adverse childhood experiences (ACEs) or later in life.@*OBJECTIVES@#This research aims to learn how BCEs and ACEs interact to affect adolescents' psychological distress.@*METHODS@#Cross-sectional survey was conducted in three cities (Xuzhou, Nanjing, and Wuhan) in China from March 2021 to May 2021. Latent class analysis (LCA) was used to classify the patterns of ACEs and BCEs. We adopted hierarchical multivariable regression to examine the influences of ACEs and BCEs on depression and suicidal ideation.@*RESULTS@#To explore the relationship between childhood experience and suicidal ideation and depression, LCA revealed three patterns of ACEs: (1) emotional abuse (10.57%); (2) high ACEs (0.55%); and (3) low ACEs classes (88.88%). Adolescents with emotional abuse (depression: OR = 3.82, 95%CI = 2.80-5.22, P < 0.001; suicidal ideation: OR = 5.766, 95%CI = 3.97-8.38, P < 0.001) and high ACEs class (suicidal ideation: OR = 5.93, 95%CI = 1.19-29.66, P < 0.05) had an increased risk of psychological distress (reference: low ACEs). LCA revealed four patterns of BCEs: (1) relationship support (14.54%); (2) low BCEs (4.85%); (3) high BCEs (55.34%); and (4) high quality of life classes (25.28%). Adolescents with a high quality of life (depression: OR = 0.09, 95%CI = 0.05-0.16, P < 0.001; suicidal ideation: OR = 0.22, 95%CI = 0.12-0.40, P < 0.001) and high BCEs (depression: OR = 0.05, 95%CI = 0.03-0.09, P < 0.001; suicidal ideation: OR = 0.15, 95%CI = 0.09-0.26, P < 0.001) protected the mental health of adolescents (reference: low BCEs).@*CONCLUSIONS@#High ACEs and emotional abuse classes were significantly associated with poorer mental health symptoms, including suicidal ideation and depression. In contrast, high BCEs and high quality of life classes were associated with better mental health. These findings point out that it is more necessary to identify and support victims of ACEs, and it is urgent to increase BCEs in early childhood.