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Background: School closures and home confinement due to the ongoing COVID-19 pandemic may lead to disrupted sleep patterns. Consequently, it could increase the risk of children and adolescents' mental health disorders.Methods: In this prospective study, we randomly selected ten schools in Shanghai and conducted cluster sampling of students from each school. The first wave of the survey was conducted between January 3 and 21, 2020. Approximately two months after the COVID-19 outbreak declared, a second wave of the survey was conducted. In total, 2427 individuals were surveyed in both waves using the same sampling method. Participants' mental health status (depression, anxiety and stress), sleep patterns and other demographic information were measured in both waves. Multivariate regression analysis was used to examine the associations between sleep patterns and mental health status.Results: During the COVID-19 pandemic, a total of 873 participants (19.9%), 1100 participants (25.1%), and 670 participants (15.3%) reported depression, anxiety, and stress symptoms, respectively. Significant changes of both sleep duration and sleep-wake cycle patterns were observed before and during the COVID-19 pandemic. Moreover, shorter sleep duration and late to rise patterns (including early to bed late to rise and late to bed late to rise) were found to be associated with higher odds of having mental illnesses during the pandemic.Conclusion: These results suggest there is a pressing need to monitor children's and adolescents' health behavior and mental health and develop timely evidence-based strategies and interventions to mitigate adverse behavioral and psychological impacts caused by these unprecedented challenges. [ABSTRACT FROM AUTHOR]

Abstract: The missing heritability of polygenic schizophrenia after genome-wide association studies (GWAS) can be potentially accounted for by the fact that most dynamic multiallelic copy number variants (CNVs) overlap segmental duplications (SDs). The FCGR locus covers this category of complex CNVs and it has long been postulated to harbor variants conferring the risk of schizophrenia. However, such association remains unproven. We used a case-control design to investigate CNV-based association with the disease. Data were obtained from 598 unrelated schizophrenia patients and 959 normal controls of Han ancestry from Shanghai. A total of four copy number (CN) probes in the FCGR locus were detected using TaqMan® Copy Number Assay. SPSS version 16.0 was used for the statistical analyses. And the frequency distributions of target CN in FCGR locus were very similar between controls and cases, whereas the CNV frequency differed markedly among different target CN analyzed in the two cohorts. When compared with the predominant two copies per diploid genome, a distinct non-protein-coding CN deletion region containing regulatory sequences was detected by probe Hs04194069_cn. Taken together, we found no evidence of association of target CNVs in the FCGR locus with schizophrenia. However, our negative findings suggest that more detailed next generation sequencing-based association studies are needed to fully evaluate the contribution of this category of complex CNVs to the disease. [Copyright &y& Elsevier]