Evidence map›Paper›PMID 39294217›Full record

ArticleScientific reports2024

Bidirectional associations between sleep and anxiety among Chinese schoolchildren before and after the COVID-19 lockdown.

Zhuo Wang, Binxue Hong, Ya Su, Minghui Li, Kun Zou, Liang Wang, Li Zhao, Peng Jia, Geyang Song

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zhuo Wang *Department of Chronic and Non-Communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Binxue Hong *Chengdu Center for Disease Control and Prevention, Chengdu, China.
Ya SuDepartment of Sociology, University of Notre Dame, South Bend, USA.
Minghui LiDepartment of Human Resources, Sichuan Center of Disease Control and Prevention, Chengdu, China.
Kun ZouDepartment of Health Policy and Management, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Liang WangDepartment of Public Health, College of Health Professions, Marshall University, Huntingdon, USA.
Li ZhaoDepartment of Health Policy and Management, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Peng JiaSchool of Resources and Environmental Science, Wuhan University, Wuhan, China.
Geyang SongDepartment of Health Policy and Management, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China. songgy@scu.edu.cn.

Funding

Hong Kong Polytechnic University 19H0642Science and Technology Department of Sichuan Province, China 2020JDKP0021Scientific Research Project of Sichuan Health Committee No.20PJ122
6 · The paper itself

Abstract

The COVID-19 pandemic has critical implications for mental health in children. This study examined how the COVID-19 lockdown affected sleep duration and anxiety symptoms in Chinese school-aged children and the bidirectional association between sleep and anxiety before and during the COVID-19 lockdown. A school-based longitudinal cohort study was conducted to examine the relationship between sleep duration and anxiety scores before and after the COVID-19 lockdown from January to May 2020. Generalized estimating equations model was used to identify variables that contributed to the changes in sleep duration. The bidirectional relationship between sleep duration and anxiety symptoms was explored by cross-lagged analysis. 7681 children completed two waves of surveys were included in the analysis. The daily exercise duration, anxiety symptoms, and sleep duration decreased significantly during the lockdown compared with that before the lockdown. Based on generalized estimating equations model, older age, secondary school, and higher anxiety scores of participants were positively associated with sleep duration, while female and no COVID-19 infection history were negatively associated with it. Cross-lagged analysis showed higher anxiety score of children before the lockdown was significantly associated with shorter sleep duration during the lockdown; and shorter sleep duration of children before the lockdown was also significantly associated with a higher anxiety score during the lockdown. Under the context of the COVID-19 pandemic, there were longitudinal, bidirectional associations between children's anxiety symptoms and sleep duration. For school students, mental health services and sleep education should be considered in the daily health education curriculum.

Indexed as

AnxietyCOVID-19SleepAdolescentChildChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMalePandemicsQuarantineSchoolsStudentsSurveys and QuestionnairesAnxietyChildrenChinaCohortCOVID-19Sleep

Identifiers

PMID39294217
PMCPMC11411122

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.