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      Predictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study

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          Abstract

          Background: Nurses have a high incidence of shift work sleep disorder, which places their health and patient safety in danger. Thus, exploring the factors associated with shift work sleep disorder in nurses is of great significance in improving their sleep health, nursing personnel staffing, and scheduling during the COVID-19 pandemic.

          Objectives: The purpose of this study was to investigate the incidence of shift work sleep disorder during the COVID-19 pandemic and explore the factors associated with shift work sleep disorder in Chinese nurses.

          Methods: This was a multicenter cross-sectional study using an online survey. Stratified cluster sampling was used to include 4,275 nurses from 14 hospitals in Shandong, China from December 2020 to June 2021. Stepwise multivariate logistic regression analysis and random forest were used to identify the factors associated with shift work sleep disorder.

          Results: The prevalence of shift work sleep disorder in the sampled shift nurses was 48.5% during the COVID-19 pandemic. Physical fatigue, psychological stress, shift work more than 6 months per year, busyness during night shift, working more than 40 h per week, working more than four night shifts per month, sleeping more than 8 h before night shift, using sleep medication, irregular meals, and high-intensity physical activity were associated with increased odds of shift work sleep disorder. Good social support, good work-family balance, napping two or three times per week, resting more than one day after shifts, intervals of 8 days or more between shifts, and taking turns to rest during the night shift were associated with decreased odds of shift work sleep disorder.

          Conclusions: Shift work sleep disorder may be associated with scheduling strategies and personal behavior during the COVID-19 pandemic. To reduce the incidence of shift work sleep disorders in nurses, nursing managers should increase night shift staffing, extend rest days after shift, increase night shift spacing, and reduce overtime, and nurses need to seek more family and social support and control their sleep schedules and diet.

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          A Global Measure of Perceived Stress

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            International physical activity questionnaire: 12-country reliability and validity.

            Physical inactivity is a global concern, but diverse physical activity measures in use prevent international comparisons. The International Physical Activity Questionnaire (IPAQ) was developed as an instrument for cross-national monitoring of physical activity and inactivity. Between 1997 and 1998, an International Consensus Group developed four long and four short forms of the IPAQ instruments (administered by telephone interview or self-administration, with two alternate reference periods, either the "last 7 d" or a "usual week" of recalled physical activity). During 2000, 14 centers from 12 countries collected reliability and/or validity data on at least two of the eight IPAQ instruments. Test-retest repeatability was assessed within the same week. Concurrent (inter-method) validity was assessed at the same administration, and criterion IPAQ validity was assessed against the CSA (now MTI) accelerometer. Spearman's correlation coefficients are reported, based on the total reported physical activity. Overall, the IPAQ questionnaires produced repeatable data (Spearman's rho clustered around 0.8), with comparable data from short and long forms. Criterion validity had a median rho of about 0.30, which was comparable to most other self-report validation studies. The "usual week" and "last 7 d" reference periods performed similarly, and the reliability of telephone administration was similar to the self-administered mode. The IPAQ instruments have acceptable measurement properties, at least as good as other established self-reports. Considering the diverse samples in this study, IPAQ has reasonable measurement properties for monitoring population levels of physical activity among 18- to 65-yr-old adults in diverse settings. The short IPAQ form "last 7 d recall" is recommended for national monitoring and the long form for research requiring more detailed assessment.
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              International classification of sleep disorders-third edition: highlights and modifications.

              The recently released third edition of the International Classification of Sleep Disorders (ICSD) is a fully revised version of the American Academy of Sleep Medicine's manual of sleep disorders nosology, published in cooperation with international sleep societies. It is the key reference work for the diagnosis of sleep disorders. The ICSD-3 is built on the same basic outline as the ICSD-2, identifying seven major categories that include insomnia disorders, sleep-related breathing disorders, central disorders of hypersomnolence, circadian rhythm sleep-wake disorders, sleep-related movement disorders, parasomnias, and other sleep disorders. Significant modifications have been made to the nosology of insomnia, narcolepsy, and parasomnias. Major features and changes of the manual are reviewed in this article. The rationales for these changes are also discussed.
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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                02 December 2021
                2021
                02 December 2021
                : 9
                : 785518
                Affiliations
                [1] 1School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University , Jinan, China
                [2] 2Department of Nursing, Qilu Hospital, Cheeloo College of Medicine, Shandong University , Jinan, China
                [3] 3Nursing Theory and Practice Innovation Research Center, Cheeloo College of Medicine, Shandong University , Jinan, China
                [4] 4Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University , Jinan, China
                [5] 5Institute for Medical Dataology, Shandong University , Jinan, China
                Author notes

                Edited by: Caterina Ledda, University of Catania, Italy

                Reviewed by: Subhabrata Moitra, University of Alberta, Canada; Luenda Charles, Centers for Disease Control and Prevention (CDC), United States

                *Correspondence: Yingjuan Cao caoyj@ 123456sdu.edu.cn

                This article was submitted to Occupational Health and Safety, a section of the journal Frontiers in Public Health

                Article
                10.3389/fpubh.2021.785518
                8674423
                34926396
                0cb8f9e6-8b9e-47b6-9ec0-00f93ba6a3dc
                Copyright © 2021 Li, Lv, Li, Wang, Guan, Li, Li, Xue, Ji and Cao.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 29 September 2021
                : 01 November 2021
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 55, Pages: 14, Words: 9224
                Funding
                Funded by: National Key Research and Development Program of China, doi 10.13039/501100012166;
                Categories
                Public Health
                Original Research

                china,cross-sectional studies,nurses,personnel staffing and scheduling,shift work sleep disorder

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