Exploring the Associations between Chronotype, Night Shift Work Schedule, Quality of Work Life, and Sleep Quality among Maternal and Child Health Nurses: A Multicentre Cross-Sectional Study
Aim. To examine the state of sleep quality among maternal and child health (MCH) nurses and explore the associations between chronotype, night shift work schedule, quality of work life, and sleep quality among MCH nurses. Background. MCH nurses, who play an important role in protecting the health of...
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description | Aim. To examine the state of sleep quality among maternal and child health (MCH) nurses and explore the associations between chronotype, night shift work schedule, quality of work life, and sleep quality among MCH nurses. Background. MCH nurses, who play an important role in protecting the health of women and children, often experience poor sleep quality. However, research on the sleep quality of MCH nurses has been scarce following implementation of the three-child policy in China. Methods. A multicentre cross-sectional study was conducted with 1426 MCH nurses. Data were collected using a demographic questionnaire, participants’ self-reported chronotype, the Pittsburgh Sleep Quality Index, and the Work-Related Quality of Life-2 scale. A chi-squared test, independent samples t-test, Pearson correlation test, and binary logistic regression analysis were used to analyse the data. Results. Of the 1426 respondents, 57.9% reported poor sleep quality. Binary logistic regression analysis indicated that chronotype, including intermediate-morning, intermediate-evening, and evening (reference: morning), and quality of work life, including stress at work, control at work, and general well-being, had effects on sleep quality among MCH nurses. Older age, frequent caffeine intake, and irregular meals were also associated with poor sleep quality. However, night shift work schedule did not affect sleep quality in the adjusted model. Conclusions. Poor sleep quality was common among MCH nurses. The findings of this study also illustrate that chronotype and quality of work life are closely related to sleep quality. Implications for Nursing Management. Nursing managers should be aware of MCH nurses’ chronotype and quality of work life and tailor interventions to address both modifiable and nonmodifiable factors associated with sleep to improve MCH nurses’ sleep quality. |
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To examine the state of sleep quality among maternal and child health (MCH) nurses and explore the associations between chronotype, night shift work schedule, quality of work life, and sleep quality among MCH nurses. Background. MCH nurses, who play an important role in protecting the health of women and children, often experience poor sleep quality. However, research on the sleep quality of MCH nurses has been scarce following implementation of the three-child policy in China. Methods. A multicentre cross-sectional study was conducted with 1426 MCH nurses. Data were collected using a demographic questionnaire, participants’ self-reported chronotype, the Pittsburgh Sleep Quality Index, and the Work-Related Quality of Life-2 scale. A chi-squared test, independent samples t-test, Pearson correlation test, and binary logistic regression analysis were used to analyse the data. Results. Of the 1426 respondents, 57.9% reported poor sleep quality. Binary logistic regression analysis indicated that chronotype, including intermediate-morning, intermediate-evening, and evening (reference: morning), and quality of work life, including stress at work, control at work, and general well-being, had effects on sleep quality among MCH nurses. Older age, frequent caffeine intake, and irregular meals were also associated with poor sleep quality. However, night shift work schedule did not affect sleep quality in the adjusted model. Conclusions. Poor sleep quality was common among MCH nurses. The findings of this study also illustrate that chronotype and quality of work life are closely related to sleep quality. Implications for Nursing Management. Nursing managers should be aware of MCH nurses’ chronotype and quality of work life and tailor interventions to address both modifiable and nonmodifiable factors associated with sleep to improve MCH nurses’ sleep quality.</description><identifier>ISSN: 0966-0429</identifier><identifier>EISSN: 1365-2834</identifier><identifier>DOI: 10.1155/2023/1811732</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Caffeine ; Children ; Children & youth ; Childrens health ; Cross-sectional studies ; Employment ; Health status ; Hospitals ; Life stress ; Maternal & child health ; Maternal characteristics ; Meals ; Mortality ; Mothers ; Nurses ; Nursing ; Nursing administration ; Nursing care ; Occupational stress ; Quality of life ; Quality of work ; Questionnaires ; Regression analysis ; Sample size ; Schedules ; Self report ; Shift work ; Shiftwork ; Sleep ; Tests ; Well being ; Women ; Womens health ; Work ; Workplace control</subject><ispartof>Journal of nursing management, 2023-09, Vol.2023, p.1-12</ispartof><rights>Copyright © 2023 Jia-Ning Li et al.</rights><rights>Copyright © 2023 Jia-Ning Li et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-24f29dd68c5c99eff8274f5f7d7ddbf98cad578da14b7343e87fb54d9f4059ed3</citedby><cites>FETCH-LOGICAL-c337t-24f29dd68c5c99eff8274f5f7d7ddbf98cad578da14b7343e87fb54d9f4059ed3</cites><orcidid>0000-0003-4133-5301 ; 0009-0006-2819-0696</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2874079172/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2874079172?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,12745,12774,12846,21388,21389,21390,21391,21392,23256,27924,27925,30999,33452,33530,33703,33744,34005,34314,34334,36265,43616,43659,43787,43805,43953,44067,44073,44404,64385,64389,72469,74051,74104,74283,74302,74473,74590,74596,74936</link.rule.ids></links><search><contributor>Colet, Paolo C.</contributor><contributor>Paolo C Colet</contributor><creatorcontrib>Li, Jia-Ning</creatorcontrib><creatorcontrib>Chen, Xiao-Qian</creatorcontrib><creatorcontrib>Jiang, Xiu-Min</creatorcontrib><creatorcontrib>Zheng, Qing-Xiang</creatorcontrib><creatorcontrib>Pan, Yu-Qing</creatorcontrib><creatorcontrib>Zhu, Yu</creatorcontrib><creatorcontrib>Huang, Ling</creatorcontrib><creatorcontrib>Liu, Ru-Lin</creatorcontrib><title>Exploring the Associations between Chronotype, Night Shift Work Schedule, Quality of Work Life, and Sleep Quality among Maternal and Child Health Nurses: A Multicentre Cross-Sectional Study</title><title>Journal of nursing management</title><description>Aim. To examine the state of sleep quality among maternal and child health (MCH) nurses and explore the associations between chronotype, night shift work schedule, quality of work life, and sleep quality among MCH nurses. Background. MCH nurses, who play an important role in protecting the health of women and children, often experience poor sleep quality. However, research on the sleep quality of MCH nurses has been scarce following implementation of the three-child policy in China. Methods. A multicentre cross-sectional study was conducted with 1426 MCH nurses. Data were collected using a demographic questionnaire, participants’ self-reported chronotype, the Pittsburgh Sleep Quality Index, and the Work-Related Quality of Life-2 scale. A chi-squared test, independent samples t-test, Pearson correlation test, and binary logistic regression analysis were used to analyse the data. Results. Of the 1426 respondents, 57.9% reported poor sleep quality. Binary logistic regression analysis indicated that chronotype, including intermediate-morning, intermediate-evening, and evening (reference: morning), and quality of work life, including stress at work, control at work, and general well-being, had effects on sleep quality among MCH nurses. Older age, frequent caffeine intake, and irregular meals were also associated with poor sleep quality. However, night shift work schedule did not affect sleep quality in the adjusted model. Conclusions. Poor sleep quality was common among MCH nurses. The findings of this study also illustrate that chronotype and quality of work life are closely related to sleep quality. Implications for Nursing Management. Nursing managers should be aware of MCH nurses’ chronotype and quality of work life and tailor interventions to address both modifiable and nonmodifiable factors associated with sleep to improve MCH nurses’ sleep quality.</description><subject>Caffeine</subject><subject>Children</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Cross-sectional studies</subject><subject>Employment</subject><subject>Health status</subject><subject>Hospitals</subject><subject>Life stress</subject><subject>Maternal & child health</subject><subject>Maternal characteristics</subject><subject>Meals</subject><subject>Mortality</subject><subject>Mothers</subject><subject>Nurses</subject><subject>Nursing</subject><subject>Nursing administration</subject><subject>Nursing care</subject><subject>Occupational stress</subject><subject>Quality of life</subject><subject>Quality of work</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Sample size</subject><subject>Schedules</subject><subject>Self report</subject><subject>Shift work</subject><subject>Shiftwork</subject><subject>Sleep</subject><subject>Tests</subject><subject>Well being</subject><subject>Women</subject><subject>Womens health</subject><subject>Work</subject><subject>Workplace control</subject><issn>0966-0429</issn><issn>1365-2834</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>7QJ</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kc1u1DAUhS0EEkNhxwNYYklD_ZdxzG4UFYo0LUIBsYw89nXj4sbBdlTm4Xg3EqZiyepK93zn3iMdhF5T8o7Sur5ghPEL2lAqOXuCNpRv64o1XDxFG6K224oIpp6jFznfEUI54_UG_b78NYWY_HiLywB4l3M0Xhcfx4wPUB4ARtwOKY6xHCc4xzf-dii4G7wr-HtMP3BnBrBzWKQvsw6-HHF0J2Xv3bLVo8VdAJj-6fo-Lt-udYE06vAXaAcfLL4CHcqAb-aUIb_HO3w9h-INjCUBblPMuerArNkWW1dme3yJnjkdMrx6nGfo24fLr-1Vtf_88VO721eGc1kqJhxT1m4bUxulwLmGSeFqJ6209uBUY7StZWM1FQfJBYdGukMtrHKC1AosP0NvTnenFH_OkEt_F-c1fe5ZIwWRikq2UOcnyqxZE7h-Sv5ep2NPSb8W1K8F9Y8FLfjbEz740eoH_3_6D_vCkuY</recordid><startdate>20230930</startdate><enddate>20230930</enddate><creator>Li, Jia-Ning</creator><creator>Chen, Xiao-Qian</creator><creator>Jiang, Xiu-Min</creator><creator>Zheng, Qing-Xiang</creator><creator>Pan, Yu-Qing</creator><creator>Zhu, Yu</creator><creator>Huang, Ling</creator><creator>Liu, Ru-Lin</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K6X</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-4133-5301</orcidid><orcidid>https://orcid.org/0009-0006-2819-0696</orcidid></search><sort><creationdate>20230930</creationdate><title>Exploring the Associations between Chronotype, Night Shift Work Schedule, Quality of Work Life, and Sleep Quality among Maternal and Child Health Nurses: A Multicentre Cross-Sectional Study</title><author>Li, Jia-Ning ; Chen, Xiao-Qian ; Jiang, Xiu-Min ; Zheng, Qing-Xiang ; Pan, Yu-Qing ; Zhu, Yu ; Huang, Ling ; Liu, Ru-Lin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-24f29dd68c5c99eff8274f5f7d7ddbf98cad578da14b7343e87fb54d9f4059ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Caffeine</topic><topic>Children</topic><topic>Children & youth</topic><topic>Childrens health</topic><topic>Cross-sectional studies</topic><topic>Employment</topic><topic>Health status</topic><topic>Hospitals</topic><topic>Life stress</topic><topic>Maternal & child health</topic><topic>Maternal characteristics</topic><topic>Meals</topic><topic>Mortality</topic><topic>Mothers</topic><topic>Nurses</topic><topic>Nursing</topic><topic>Nursing administration</topic><topic>Nursing care</topic><topic>Occupational stress</topic><topic>Quality of life</topic><topic>Quality of work</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Sample size</topic><topic>Schedules</topic><topic>Self report</topic><topic>Shift work</topic><topic>Shiftwork</topic><topic>Sleep</topic><topic>Tests</topic><topic>Well being</topic><topic>Women</topic><topic>Womens health</topic><topic>Work</topic><topic>Workplace control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jia-Ning</creatorcontrib><creatorcontrib>Chen, Xiao-Qian</creatorcontrib><creatorcontrib>Jiang, Xiu-Min</creatorcontrib><creatorcontrib>Zheng, Qing-Xiang</creatorcontrib><creatorcontrib>Pan, Yu-Qing</creatorcontrib><creatorcontrib>Zhu, Yu</creatorcontrib><creatorcontrib>Huang, Ling</creatorcontrib><creatorcontrib>Liu, Ru-Lin</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of nursing management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Jia-Ning</au><au>Chen, Xiao-Qian</au><au>Jiang, Xiu-Min</au><au>Zheng, Qing-Xiang</au><au>Pan, Yu-Qing</au><au>Zhu, Yu</au><au>Huang, Ling</au><au>Liu, Ru-Lin</au><au>Colet, Paolo C.</au><au>Paolo C Colet</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring the Associations between Chronotype, Night Shift Work Schedule, Quality of Work Life, and Sleep Quality among Maternal and Child Health Nurses: A Multicentre Cross-Sectional Study</atitle><jtitle>Journal of nursing management</jtitle><date>2023-09-30</date><risdate>2023</risdate><volume>2023</volume><spage>1</spage><epage>12</epage><pages>1-12</pages><issn>0966-0429</issn><eissn>1365-2834</eissn><abstract>Aim. To examine the state of sleep quality among maternal and child health (MCH) nurses and explore the associations between chronotype, night shift work schedule, quality of work life, and sleep quality among MCH nurses. Background. MCH nurses, who play an important role in protecting the health of women and children, often experience poor sleep quality. However, research on the sleep quality of MCH nurses has been scarce following implementation of the three-child policy in China. Methods. A multicentre cross-sectional study was conducted with 1426 MCH nurses. Data were collected using a demographic questionnaire, participants’ self-reported chronotype, the Pittsburgh Sleep Quality Index, and the Work-Related Quality of Life-2 scale. A chi-squared test, independent samples t-test, Pearson correlation test, and binary logistic regression analysis were used to analyse the data. Results. Of the 1426 respondents, 57.9% reported poor sleep quality. Binary logistic regression analysis indicated that chronotype, including intermediate-morning, intermediate-evening, and evening (reference: morning), and quality of work life, including stress at work, control at work, and general well-being, had effects on sleep quality among MCH nurses. Older age, frequent caffeine intake, and irregular meals were also associated with poor sleep quality. However, night shift work schedule did not affect sleep quality in the adjusted model. Conclusions. Poor sleep quality was common among MCH nurses. The findings of this study also illustrate that chronotype and quality of work life are closely related to sleep quality. Implications for Nursing Management. Nursing managers should be aware of MCH nurses’ chronotype and quality of work life and tailor interventions to address both modifiable and nonmodifiable factors associated with sleep to improve MCH nurses’ sleep quality.</abstract><cop>Oxford</cop><pub>Hindawi</pub><doi>10.1155/2023/1811732</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-4133-5301</orcidid><orcidid>https://orcid.org/0009-0006-2819-0696</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Caffeine Children Children & youth Childrens health Cross-sectional studies Employment Health status Hospitals Life stress Maternal & child health Maternal characteristics Meals Mortality Mothers Nurses Nursing Nursing administration Nursing care Occupational stress Quality of life Quality of work Questionnaires Regression analysis Sample size Schedules Self report Shift work Shiftwork Sleep Tests Well being Women Womens health Work Workplace control |
title | Exploring the Associations between Chronotype, Night Shift Work Schedule, Quality of Work Life, and Sleep Quality among Maternal and Child Health Nurses: A Multicentre Cross-Sectional Study |
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