The relations between COVID-19 stress, social connectedness, and mental health: a longitudinal investigation comparing Chinese and American college students.

College students in the U.S. and China have faced significant challenges during COVID-19. Data were collected from 120 Amerian students (Mage = 19.48, SDage = 1.30) and 119 Chinese students (Mage = 18.61, SDage = 0.91) in November, 2019 and March, 2020 to examine risk and protective factors for mental health (depression, anxiety, life satisfaction) during the pandemic, and potential cultural and gender differences. Results indicated that the frequency and impact of COVID-19-related stressful life events predicted deterioration of mental health over time, while social connectedness before the pandemic buffered the negative impact of COVID-19 stressful life events on life satisfaction. Chinese students reported higher levels of social connectedness and larger impact of COVID-19-related stressful life events, but lower frequency of stressful life events than American students. Stressful life events and social connectedness predicted mental health outcomes similarly for Chinese and American students. Gender differences were identified. Females reported more stressful life events, higher levels of depression, anxiety and less life satisfaction during COVID-19 than males. In addition, the frequency of stressful life events had a stronger impact on depression and anxiety for females compared with males. It is important to implement prevention and intervention programs to promote social connections and wellbeing among college students, especially among female students.

Identification of Key Modules and Genes Associated with Major Depressive Disorder in Adolescents.

Major depressive disorder (MDD) is a leading cause of disability worldwide. Adolescence is a crucial period for the occurrence and development of depression. There are essential distinctions between adolescent and adult depression patients, and the etiology of depressive disorder is unclear. The interactions of multiple genes in a co-expression network are likely to be involved in the physiopathology of MDD. In the present study, RNA-Seq data of mRNA were acquired from the peripheral blood of MDD in adolescents and healthy control (HC) subjects. Co-expression modules were constructed via weighted gene co-expression network analysis (WGCNA) to investigate the relationships between the underlying modules and MDD in adolescents. In the combined MDD and HC groups, the dynamic tree cutting method was utilized to assign genes to modules through hierarchical clustering. Moreover, functional enrichment analysis was conducted on those co-expression genes from interested modules. The results showed that eight modules were constructed by WGCNA. The blue module was significantly associated with MDD after multiple comparison adjustment. Several Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways associated with stress and inflammation were identified in this module, including histone methylation, apoptosis, NF-kappa ß signaling pathway, and TNF signaling pathway. Five genes related to inflammation, immunity, and the nervous system were identified as hub genes: CNTNAP3, IL1RAP, MEGF9, UBE2W, and UBE2D1. All of these findings supported that MDD was associated with stress, inflammation, and immune responses, helping us to obtain a better understanding of the internal molecular mechanism and to explore biomarkers for the diagnosis or treatment of depression in adolescents.