Predictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study
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 sch...
Guardado en:
Autores principales: | , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/04319b5f3b944eb2909a4e5478782e85 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:04319b5f3b944eb2909a4e5478782e85 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:04319b5f3b944eb2909a4e5478782e852021-12-02T06:57:08ZPredictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study2296-256510.3389/fpubh.2021.785518https://doaj.org/article/04319b5f3b944eb2909a4e5478782e852021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpubh.2021.785518/fullhttps://doaj.org/toc/2296-2565Background: 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.Yuxin LiXiaoyan LvXiaoyan LvRong LiRong LiYongchao WangYongchao WangXiangyun GuanXiangyun GuanLi LiLi LiJunli LiJunli LiFuzhong XueFuzhong XueXiaokang JiXiaokang JiYingjuan CaoYingjuan CaoYingjuan CaoFrontiers Media S.A.articleChinacross-sectional studiesnursespersonnel staffing and schedulingshift work sleep disorderPublic aspects of medicineRA1-1270ENFrontiers in Public Health, Vol 9 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
China cross-sectional studies nurses personnel staffing and scheduling shift work sleep disorder Public aspects of medicine RA1-1270 |
spellingShingle |
China cross-sectional studies nurses personnel staffing and scheduling shift work sleep disorder Public aspects of medicine RA1-1270 Yuxin Li Xiaoyan Lv Xiaoyan Lv Rong Li Rong Li Yongchao Wang Yongchao Wang Xiangyun Guan Xiangyun Guan Li Li Li Li Junli Li Junli Li Fuzhong Xue Fuzhong Xue Xiaokang Ji Xiaokang Ji Yingjuan Cao Yingjuan Cao Yingjuan Cao Predictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study |
description |
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. |
format |
article |
author |
Yuxin Li Xiaoyan Lv Xiaoyan Lv Rong Li Rong Li Yongchao Wang Yongchao Wang Xiangyun Guan Xiangyun Guan Li Li Li Li Junli Li Junli Li Fuzhong Xue Fuzhong Xue Xiaokang Ji Xiaokang Ji Yingjuan Cao Yingjuan Cao Yingjuan Cao |
author_facet |
Yuxin Li Xiaoyan Lv Xiaoyan Lv Rong Li Rong Li Yongchao Wang Yongchao Wang Xiangyun Guan Xiangyun Guan Li Li Li Li Junli Li Junli Li Fuzhong Xue Fuzhong Xue Xiaokang Ji Xiaokang Ji Yingjuan Cao Yingjuan Cao Yingjuan Cao |
author_sort |
Yuxin Li |
title |
Predictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study |
title_short |
Predictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study |
title_full |
Predictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study |
title_fullStr |
Predictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study |
title_full_unstemmed |
Predictors of Shift Work Sleep Disorder Among Nurses During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study |
title_sort |
predictors of shift work sleep disorder among nurses during the covid-19 pandemic: a multicenter cross-sectional study |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/04319b5f3b944eb2909a4e5478782e85 |
work_keys_str_mv |
AT yuxinli predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT xiaoyanlv predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT xiaoyanlv predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT rongli predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT rongli predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT yongchaowang predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT yongchaowang predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT xiangyunguan predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT xiangyunguan predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT lili predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT lili predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT junlili predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT junlili predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT fuzhongxue predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT fuzhongxue predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT xiaokangji predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT xiaokangji predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT yingjuancao predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT yingjuancao predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy AT yingjuancao predictorsofshiftworksleepdisorderamongnursesduringthecovid19pandemicamulticentercrosssectionalstudy |
_version_ |
1718399614200053760 |