1. Background Coronavirus disease 2019 (COVID-19) is a new infectious disease caused by SARS-CoV-2, with epidemiological characteristics such as strong infectivity, high morbidity, multiple infection routes, and widespread infection [1, 2]. Since the epidemic began in Wuhan, China, in December 2019, from January 2020 to April 2020, COVID-19 has spread explosively in China. As of May 24, a total of 5,290,506 cases had been diagnosed worldwide, with a total of 342,448 deaths. A total of 84,525 cases had been diagnosed in China, with 4,645 deaths and 79,749 cured [3]. The spread of the COVID-19 epidemic occurred exceptionally quickly, and its range is extensive, covering almost all countries in the world. Since the outbreak in China in December, the outbreak has been effectively controlled through the development of the Chinese government's prevention and control measures. On February 25, 2020, there were no new cases in 26 provinces across the country. The Chinese government began to gradually ease the controls of the epidemic situation and initiate the national resumption of production and orderly recovery, and China's anti-epidemic efforts have achieved effective results. Health workers are among the most important people in every major public health challenge, as frontline anti-epidemic workers, have made great contributions to anti-epidemic work and have experienced great psychological pressure, which may increase the current baseline level of psychopathology [4], it can even lead to related disorders, stress, anger, and mood dysregulation [5], can not continue to put into work. Therefore, the mental health issues of healthcare workers cannot be ignored.

This study aimed to investigate miRNAs and upstream regulatory transcription factors involved in schizophrenia (SZ) pathogenesis. Differential expression of miRNAs and genes in SZ patients was investigated utilizing the gene expression omnibus dataset, gene ontology annotations, and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis. Real-time quantitative polymerase chain reaction experiments were conducted to validate the predictive screening of regulatory genes in peripheral blood samples from 20 SZ patients and 20 healthy controls. The diagnostic potential of these factors within these samples was assessed via receiver operating characteristic (ROC) curve analyses. Fifty-eight miRNAs were identified as differentially expressed in the peripheral blood of SZ patients. miR-26b-5p exhibited significantly reduced expression in SZ patients compared to healthy individuals. Additionally, 1422 mRNAs were differentially expressed, including 5 transcription factors potentially regulating miR-26b-5p expression. Among these, EGR1 and STAT1 displayed significantly lower expression levels in SZ patients. Receiver operating characteristic analysis revealed areas under the curve of 0.76 for miR-26b-5p, 0.74 for EGR1, 0.82 for STAT1, and 0.85 for the combined STAT1-miR-26b-5p diagnosis. The reduced expression of miR-26b-5p, EGR1, and STAT1 in the peripheral blood of SZ patients, compared to healthy controls, suggests a strong association with SZ. These molecules represent potential diagnostic biomarkers, with the combined marker STAT1-miR-26b-5p potentially offering enhanced diagnostic accuracy.

This longitudinal study examined the relationship between cyberbullying victimization (CV) and non-suicidal self-injury (NSSI) among Chinese vocational col

This study applied network analysis to explore the complex associations between school refusal behavior (SRB) and related individual and environmental psyc