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Sleep problems of healthcare workers in tertiary hospital and influencing factors identified through a multilevel analysis: a cross-sectional study in China

OBJECTIVES: Sleep problems are common among healthcare workers, especially among those who work in tertiary hospitals; however, studies focusing on healthcare workers in tertiary hospitals in China are limited. Therefore, we aimed to examine the prevalence of sleep problems among tertiary hospital e...

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Autores principales: Liu, Huan, Liu, Jingjing, Chen, Mingxi, Tan, Xiao, Zheng, Tong, Kang, Zheng, Gao, Lijun, Jiao, Mingli, Ning, Ning, Liang, Libo, Wu, Qunhong, Hao, Yanhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937086/
https://www.ncbi.nlm.nih.gov/pubmed/31888927
http://dx.doi.org/10.1136/bmjopen-2019-032239
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author Liu, Huan
Liu, Jingjing
Chen, Mingxi
Tan, Xiao
Zheng, Tong
Kang, Zheng
Gao, Lijun
Jiao, Mingli
Ning, Ning
Liang, Libo
Wu, Qunhong
Hao, Yanhua
author_facet Liu, Huan
Liu, Jingjing
Chen, Mingxi
Tan, Xiao
Zheng, Tong
Kang, Zheng
Gao, Lijun
Jiao, Mingli
Ning, Ning
Liang, Libo
Wu, Qunhong
Hao, Yanhua
author_sort Liu, Huan
collection PubMed
description OBJECTIVES: Sleep problems are common among healthcare workers, especially among those who work in tertiary hospitals; however, studies focusing on healthcare workers in tertiary hospitals in China are limited. Therefore, we aimed to examine the prevalence of sleep problems among tertiary hospital employees in China and identify associated factors. DESIGN: Cross-sectional questionnaire survey study. SETTING: The study was conducted in 317 departments at 33 tertiary hospitals in the Heilongjiang Province, China. PARTICIPANTS: The study included a representative sample of 4007 healthcare workers, including clinicians, medical technicians and office workers, who were selected using a multistage cluster sampling method. Ultimately, 3810 participants completed valid questionnaires, yielding a response rate of 95%. PRIMARY AND SECONDARY OUTCOME MEASURES: Participants completed a structured questionnaire which collected data regarding demographics, sleep problems, employment, chronic pain and health-related behaviours. A two-level logistic regression model was constructed to examine determinants of sleep problems. RESULTS: We found that nearly half of the respondents reported experiencing sleep problems. The two-level logistic model suggested a positive association of sleep problems with headache (OR=2.64, 95% CI=2.27 to 3.07), working hours (OR=1.41, 95% CI=1.20 to 1.66) and night shifts (OR=1.43, 95% CI=1.21 to 1.69). In contrast, regular diet (OR=0.44, 95% CI=0.36 to 0.53) and exercise (OR=0.65, 95% CI=0.53 to 0.80) protected the study population against sleep problems. CONCLUSIONS: We found that sleep problems are prominent among tertiary hospital employees in China. The risk factor most strongly associated with sleep problems was headaches. To alleviate sleep problems in this population, medical institutions and health policy makers should establish reasonable working schedules and night-shift work systems, while the healthcare workers themselves should pay attention to their chronic pain problems and engage in regular diet and exercise.
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spelling pubmed-69370862020-01-06 Sleep problems of healthcare workers in tertiary hospital and influencing factors identified through a multilevel analysis: a cross-sectional study in China Liu, Huan Liu, Jingjing Chen, Mingxi Tan, Xiao Zheng, Tong Kang, Zheng Gao, Lijun Jiao, Mingli Ning, Ning Liang, Libo Wu, Qunhong Hao, Yanhua BMJ Open Public Health OBJECTIVES: Sleep problems are common among healthcare workers, especially among those who work in tertiary hospitals; however, studies focusing on healthcare workers in tertiary hospitals in China are limited. Therefore, we aimed to examine the prevalence of sleep problems among tertiary hospital employees in China and identify associated factors. DESIGN: Cross-sectional questionnaire survey study. SETTING: The study was conducted in 317 departments at 33 tertiary hospitals in the Heilongjiang Province, China. PARTICIPANTS: The study included a representative sample of 4007 healthcare workers, including clinicians, medical technicians and office workers, who were selected using a multistage cluster sampling method. Ultimately, 3810 participants completed valid questionnaires, yielding a response rate of 95%. PRIMARY AND SECONDARY OUTCOME MEASURES: Participants completed a structured questionnaire which collected data regarding demographics, sleep problems, employment, chronic pain and health-related behaviours. A two-level logistic regression model was constructed to examine determinants of sleep problems. RESULTS: We found that nearly half of the respondents reported experiencing sleep problems. The two-level logistic model suggested a positive association of sleep problems with headache (OR=2.64, 95% CI=2.27 to 3.07), working hours (OR=1.41, 95% CI=1.20 to 1.66) and night shifts (OR=1.43, 95% CI=1.21 to 1.69). In contrast, regular diet (OR=0.44, 95% CI=0.36 to 0.53) and exercise (OR=0.65, 95% CI=0.53 to 0.80) protected the study population against sleep problems. CONCLUSIONS: We found that sleep problems are prominent among tertiary hospital employees in China. The risk factor most strongly associated with sleep problems was headaches. To alleviate sleep problems in this population, medical institutions and health policy makers should establish reasonable working schedules and night-shift work systems, while the healthcare workers themselves should pay attention to their chronic pain problems and engage in regular diet and exercise. BMJ Publishing Group 2019-12-29 /pmc/articles/PMC6937086/ /pubmed/31888927 http://dx.doi.org/10.1136/bmjopen-2019-032239 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Public Health
Liu, Huan
Liu, Jingjing
Chen, Mingxi
Tan, Xiao
Zheng, Tong
Kang, Zheng
Gao, Lijun
Jiao, Mingli
Ning, Ning
Liang, Libo
Wu, Qunhong
Hao, Yanhua
Sleep problems of healthcare workers in tertiary hospital and influencing factors identified through a multilevel analysis: a cross-sectional study in China
title Sleep problems of healthcare workers in tertiary hospital and influencing factors identified through a multilevel analysis: a cross-sectional study in China
title_full Sleep problems of healthcare workers in tertiary hospital and influencing factors identified through a multilevel analysis: a cross-sectional study in China
title_fullStr Sleep problems of healthcare workers in tertiary hospital and influencing factors identified through a multilevel analysis: a cross-sectional study in China
title_full_unstemmed Sleep problems of healthcare workers in tertiary hospital and influencing factors identified through a multilevel analysis: a cross-sectional study in China
title_short Sleep problems of healthcare workers in tertiary hospital and influencing factors identified through a multilevel analysis: a cross-sectional study in China
title_sort sleep problems of healthcare workers in tertiary hospital and influencing factors identified through a multilevel analysis: a cross-sectional study in china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937086/
https://www.ncbi.nlm.nih.gov/pubmed/31888927
http://dx.doi.org/10.1136/bmjopen-2019-032239
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