Cargando…
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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783483820933120000 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6937086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT liuhuan sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina AT liujingjing sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina AT chenmingxi sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina AT tanxiao sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina AT zhengtong sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina AT kangzheng sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina AT gaolijun sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina AT jiaomingli sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina AT ningning sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina AT lianglibo sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina AT wuqunhong sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina AT haoyanhua sleepproblemsofhealthcareworkersintertiaryhospitalandinfluencingfactorsidentifiedthroughamultilevelanalysisacrosssectionalstudyinchina |