Depression and Anxiety Mediate the Association between Sleep Quality and Self-Rated Health in Healthcare Students.

OBJECTIVES: This study aimed to investigate factors associated with sleep quality in healthcare students and to determine whether depressive and anxiety symptoms may explain some of the associations between sleep quality and self-rated health. STUDY DESIGN: This is a cross-sectional study at wave one. METHODS: A total of 637 healthcare students were recruited via a stratified random sampling method in Hangzhou, China. The Sleep Quality Questionnaire (SQQ) and the four-item Patient Health Questionnaire (PHQ-4) were used to assess sleep quality and depressive and anxiety symptoms, respectively. Self-rated health was assessed via a self-developed questionnaire of both physical and psychological health. Structural equation modeling was used to examine the direct and indirect effects of sleep quality on self-rated health through depressive and anxiety symptoms. RESULTS: Students engaged in part-time employment (p = 0.022), with poor perceived employment prospects (p = 0.009), and who did not participate in recreational sports (p = 0.008) had worse sleep quality. Structural equation modeling revealed a significant total effect of sleep quality on self-rated health (b = 0.592, p < 0.001), a significant direct effect of both sleep quality and depressive and anxiety symptoms on self-rated health (b = 0.277, 95% CI: 0.032-0.522), and a significant indirect effect of sleep quality on self-rated health through depressive and anxiety symptoms (b = 0.315, 95% CI: 0.174-0.457). CONCLUSIONS: Depressive and anxiety symptoms partially explain the association between sleep quality and self-rated health. Intervening upon sleep quality, depressive, and anxiety symptoms may bolster the self-rated health of healthcare students.

Effects of short-term quarantine on growth and development of children aged 1-36 months during the Omicron outbreak.

Consequences of epidemic quarantine on children's well-being are not clear and there are scarce data about the short-term impact of epidemic quarantine on children's growth and development. The study aimed to explore and analyze the potential impacts of the Omicron outbreak on children's growth and development during the lockdown in Shanghai, China. Totally, 4565 children aged 1-36 months who had a routine physical examination in the child health departments of hospitals before (June 1, 2021, to July 6, 2021) and after (June 1, 2022, to July 6, 2022) Shanghai's lockdown were included in this study. A population-based cross-sectional study was conducted by using the Infant Toddler Growth Development Screening Test (ITGDST). The children's growth and development in these two periods were compared with a propensity score matching (PSM) approach. After 1:1 matching, a total of 2462 children aged 1-36 months were analyzed. After PSM, there was no significant difference in terms of overall development, gross motor, fine motor, and language development for children before and after the Omicron lockdown. However, statistically significant decrease of wasting was observed for children after the lockdown (p < 0.05). Further interaction analysis indicated older age group (OR = 0.26, 95% CI 0.11-0.59) and the group of second parity (OR = 0.30, 95% CI 0.11-0.83) were favorable to language development during the lockdown.  Conclusion: Short-term quarantine had no significant adverse, but rather beneficial, effects on growth and development of children aged 1-36 months during the Omicron epidemic in Shanghai, China. What is Known: • Consequences of epidemic quarantine on children's well-being are not clear. Long-term psychological effects of coronavirus disease 2019 pandemic on children have been reported. However, there are scarce data about the short-term impact of epidemic quarantine on children's growth and development. What is New: • Short-term quarantine had no significant adverse, but rather beneficial, effects on growth and development of children aged 1-36 months during the Omicron epidemic in Shanghai, China.

Development of a panel of three multiplex allele-specific qRT-PCR assays for quick differentiation of recombinant variants and Omicron subvariants of SARS-CoV-2.

Quick differentiation of the circulating variants and the emerging recombinant variants of SARS-CoV-2 is essential to monitor their transmission. However, the widely used gene sequencing method is time-consuming and costly when facing the viral recombinant variants, because partial or whole genome sequencing is required. Allele-specific real time RT-PCR (qRT-PCR) represents a quick and cost-effective method in SNP genotyping and has been successfully applied for SARS-CoV-2 variant screening. In the present study, we developed a panel of 3 multiplex allele-specific qRT-PCR assays targeting 12 key differential mutations for quick differentiation of SARS-CoV-2 recombinant variants (XD and XE) and Omicron subvariants (BA.1 and BA.2). Two parallel multiplex qRT-PCR reactions were designed to separately target the protype allele and the mutated allele of the four mutations in each allele-specific qRT-PCR assay. The variation of Cp values (ΔCp) between the two multiplex qRT-PCR reactions was applied for mutation determination. The developed multiplex allele-specific qRT-PCR assays exhibited outstanding analytical sensitivities (with limits of detection [LoDs] of 2.97-27.43 copies per reaction), wide linear detection ranges (107-100 copies per reaction), good amplification efficiencies (82% to 95%), good reproducibility (Coefficient of Variations (CVs) < 5% in both intra-assay and inter-assay tests) and clinical performances (99.5%-100% consistency with Sanger sequencing). The developed multiplex allele-specific qRT-PCR assays in this study provide an alternative tool for quick differentiation of SARS-CoV-2 recombinant variants (XD and XE) and Omicron subvariants (BA.1 and BA.2).

WITHDRAWN: Clinical and CT imaging features of 2019 novel coronavirus disease (COVID-19).

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