Background:Patients with major depressive disorder (MDD) usually have high risk of suicidality. Few studies have investigated the effects of stressful life events (SLEs) on the risk of suicide in Chinese patients who have developed MDD. This study aimed to investigate the impact of SLEs on suicidal risk in Chinese patients with MDD.Methods:In total, 1029 patients with MDD were included from nine psychiatric hospitals to evaluate the impact of SLEs on suicidal risk. Patients fulfilling the Mini-International Neuropsychiatric Interview (MINI) criteria for MDD were included in the study. Patients were excluded if they had lifetime or current diagnoses of psychotic disorder, bipolar disorder, and alcohol or substance dependence. Depressive symptoms were assessed by the 17-item Hamilton Depression Scale (HAMD-17). The suicidal risk of MDD patients was determined by the suicide risk module of MINI. SLEs were assessed by the Life Events Scale.Results:No gender difference was found for suicidal risk in MDD patients. Patients with suicidal risk had younger ages, lower education levels, more drinking behavior, and lower marriage rate, and fewer people had child and more severe depressive symptoms than nonsuicidal risk group. High-level perceived stressfulness (HPS) and number of SLEs that patients were exposed to were significantly greater in patients with suicidal risk than patients without. In multivariate logistic analysis, HPS of SLEs (odds ratio [OR] = 1.54, 95% confidence interval [CI]: 1.16–2.05, P = 0.003) and depressive symptoms (OR = 1.08, 95% CI: 1.05–1.11, P < 0.001) were associated with suicidal risk even after adjustment of gender, age, marriage, drinking behavior, and childless.Conclusions:HPS of SLEs is associated with suicide risk in Chinese patients with MDD. Further suicide prevention programs targeting this risk factor are needed.Trial Registration:ClinicalTrials.gov: NCT02023567; https://clinicaltrials.gov/ct2/show/NCT02023567?term=NCT02023567&rank=1.
Background
The coronavirus disease 2019 (COVID-19) is not only attacking our physical health, but it is also increasing psychological suffering. This study aimed to observe the impact of the COVID-19 pandemic on mental health outcomes among patients with mild to moderate illness in Fangcang shelter hospitals.
Methods
We conducted an observational, cross-sectional study of 129 patients with mild to moderate illness from Jiangxia Fangcang shelter hospitals in Wuhan, China. The participants were assessed by quantifying their symptoms of depression, anxiety, insomnia, and stressful life events and analyzing potential risk factors associated with these symptoms. Using correlation analysis, we examined associations between exposure to COVID-19 and subsequent psychological distress in response to the outbreak.
Results
In total, 49.6% of participants had depressive or anxiety symptoms. The depressive and anxiety symptoms were highly related to sleep disturbances and hypochondriasis (all
r
> 0.50,
P
< 0.01). The impact of the event was positively related to depressive symptoms, anxiety symptoms, sleep disturbances, hypochondriasis and life events (all
r
> 0.35,
P
< 0.01) but was negatively related to psychological resilience (
r
= –0.41,
P
< 0.01). The presence of the COVID-19 infection in this setting was associated with increased anxiety, depression and stress levels, and decreased sleep quality, and seriously affected patients’ quality of life as well as adversely affecting the course and prognosis of physical diseases.
Conclusion
The sleep quality, anxiety, and depression of COVID-19 patients in Fangcang shelter hospitals were significantly related to the impact of the epidemic.
Background: At present, laboratory blood tests to support major depressive disorder (MDD) diagnosis are not available. This study aimed to screen potential mRNAs for peripheral blood biomarkers and novel pathophysiology of MDD. Methods: The present study utilized public data from two mRNA microarray datasets to analyze the hub genes changes related to MDD. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of differentially expressed genes (DEGs) were performed. Finally, some potential mRNA quality biomarkers for hub gene expression in blood were identified. Results: A total of 25 significantly co-upregulated DEGs and 98 co-downregulated DEGs were obtained from two datasets. The pathway enrichment analyses showed that co-upregulated genes were significantly enriched in the regulation of cell-matrix adhesion and mitochondrial membrane permeability which were involved in the apoptotic process. Co-downregulated genes were mainly involved in the neutrophil activation which in turn was involved in the immune response, degranulation and cell-mediated immunity, positive regulation of immune response, the Toll-like receptor signaling pathway, and the NOD-like receptor signaling pathway. From the PPI network, 14 hub genes were obtained. Among them, the subnetworks of PLCG1, BCL2A1, TLR8, FADD, and TLR4 screened out from our study have been shown to play a role in immune and inflammation responses. Discussion: The potential molecular mechanisms that have been identified simultaneously include innate immunity, neuroinflammation, and neurotrophic factors for synapse function and development.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.