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Impacts of mental health in the sleep pattern of healthcare professionals during the COVID-19 pandemic in Brazil. J Affect Disord 2023; 323:472-481. [PMID: 36455718 PMCID: PMC9705011 DOI: 10.1016/j.jad.2022.11.082] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 11/21/2022] [Accepted: 11/24/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND After >2 years of the Coronavirus Disease-19 (COVID-19) pandemic, it is well established how sleep symptoms are rising, especially among healthcare workers (HCW). The aim of this study is to evaluate what features are associated with sleep disturbances in the HCW population. METHODS Cross-sectional and longitudinal analysis of social and clinical variables associated with sleep problems and insomnia incidence in HCW in a large, national-level cohort. The measurement of sleep problems was assessed by self-report using Jenkins Sleep Scale (JSS). A multivariate analysis was used in the cross-sectional design and generalized linear models were used in the longitudinal design. RESULTS 10,467 HCW were analyzed in the cross-sectional analysis, 3313 participants were analyzed in the three timepoints of the study. Sex, previously diagnosed mental illness and frontline work with COVID-19 were associated with higher scores in JSS in the univariate analysis. In the multivariate analysis, only previous diagnosis of mental illness was related with sleep difficulties, especially previously diagnosed insomnia. The longitudinal analysis concluded that previous diagnosis of mental illnesses was associated with higher levels of insomnia development (OR = 11.62). The self-reported disorders found to be major risk factors were addiction (OR = 7.69), generalized anxiety disorder (OR = 3.67), social anxiety (OR = 2.21) and bipolar disorder (OR = 2.21). LIMITATIONS Attrition bias. CONCLUSIONS Previous diagnosis of mental illness was strongly related to insomnia development in HCW during the COVID-19 pandemic. Strategies that focus on this population are advised.
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Yao ZY, Li XH, Zuo L, Xiong Q, He WT, Li DX, Dong ZF. Maternal sleep deprivation induces gut microbial dysbiosis and neuroinflammation in offspring rats. Zool Res 2022; 43:380-390. [PMID: 35362675 PMCID: PMC9113977 DOI: 10.24272/j.issn.2095-8137.2022.023] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 03/31/2022] [Indexed: 11/07/2022] Open
Abstract
Maternal sleep deprivation (MSD) is a global public health problem that affects the physical and mental development of pregnant women and their newborns. The latest research suggests that sleep deprivation (SD) disrupts the gut microbiota, leading to neuroinflammation and psychological disturbances. However, it is unclear whether MSD affects the establishment of gut microbiota and neuroinflammation in the newborns. In the present study, MSD was performed on pregnant Sprague-Dawley rats in the third trimester of pregnancy (gestational days 15-21), after which intestinal contents and brain tissues were collected from offspring at different postnatal days (P1, P7, P14, and P56). Based on microbial profiling, microbial diversity and richness increased in pregnant rats subjected to MSD, as reflected by the significant increase in the phylum Firmicutes. In addition, microbial dysbiosis marked by abundant Firmicutes bacteria was observed in the MSD offspring. Furthermore, quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA) showed that the expression levels of proinflammatory cytokines interleukin 1β (IL-1β) and tumor necrosis factor α (TNF-α) were significantly higher in the MSD offspring at adulthood (P56) than in the control group. Through Spearman correlation analysis, IL-1β and TNF-α were also shown to be positively correlated with Ruminococcus_1 and Ruminococcaceae_UCG-005 at P56, which may determine the microbiota-host interactions in MSD-related neuroinflammation. Collectively, these results indicate that MSD changes maternal gut microbiota and affects the establishment of neonatal gut microbiota, leading to neuroinflammation in MSD offspring. Therefore, understanding the role of gut microbiota during physiological development may provide potential interventions for cognitive dysfunction in MSD-impacted offspring.
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Affiliation(s)
- Zheng-Yu Yao
- Pediatric Research Institute, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - Xiao-Huan Li
- Pediatric Research Institute, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - Li Zuo
- Pediatric Research Institute, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - Qian Xiong
- Pediatric Research Institute, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - Wen-Ting He
- Pediatric Research Institute, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - Dong-Xu Li
- Pediatric Research Institute, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - Zhi-Fang Dong
- Pediatric Research Institute, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China. E-mail:
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