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Comorbidity of poor sleep and primary headaches among nursing staff in north China

BACKGROUND: Sleep disorders and primary headaches are both more prevalent among nursing staff than in the general population. However, there have been no reports about the comorbidity of poor sleep and primary headaches among nursing staff. METHODS: Stratified random cluster sampling was used to sel...

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Autores principales: Wang, Yan, Xie, Jingdan, Yang, Fei, Wu, Shiwen, Wang, Hebo, Zhang, Xiaolan, Liu, Hua, Deng, Xin, Xie, Wei, Yu, Shengyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598334/
https://www.ncbi.nlm.nih.gov/pubmed/26449228
http://dx.doi.org/10.1186/s10194-015-0571-z
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author Wang, Yan
Xie, Jingdan
Yang, Fei
Wu, Shiwen
Wang, Hebo
Zhang, Xiaolan
Liu, Hua
Deng, Xin
Xie, Wei
Yu, Shengyuan
author_facet Wang, Yan
Xie, Jingdan
Yang, Fei
Wu, Shiwen
Wang, Hebo
Zhang, Xiaolan
Liu, Hua
Deng, Xin
Xie, Wei
Yu, Shengyuan
author_sort Wang, Yan
collection PubMed
description BACKGROUND: Sleep disorders and primary headaches are both more prevalent among nursing staff than in the general population. However, there have been no reports about the comorbidity of poor sleep and primary headaches among nursing staff. METHODS: Stratified random cluster sampling was used to select 1102 nurses from various departments in three hospitals in north China. Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). The diagnosis of primary headaches including migraine, tension-type headache (TTH), and chronic daily headache (CDH) was based on the International Classification of Headache Disorders, 3rd edition (beta version) (ICHD-3-beta). RESULTS: The response rate was 93 %. Among 1023 nurses, the prevalence of poor sleep was 56.7 %. Of these, 315 nurses (34.13 %) had poor sleep comorbid with primary headaches. The prevalence of poor sleep in the groups with CDH (82.1 %), migraine (78.9 %), and TTH (59.0 %) was significantly higher than that in the group without headaches (47.3 %) (all P < 0.05). Multivariate logistic regression revealed that rotating shifts and suffering headache were independent risk factors for poor sleep. Also, the 1-year prevalence of the three types of primary headache was significantly increased in the poor sleep group (migraine: 21.2 % vs. 7.2 %; TTH: 27.9 % vs. 24.9 %; CDH: 4.1 % vs. 1.1 %; P < 0.05). Compared with normal sleepers, nurses with poor sleep were 1.72 times more likely to have severe headache (OR: 1.72, 95 % CI: 1.14–2.57). CONCLUSION: Comorbidity of poor sleep and primary headaches among nursing staff is common. Therefore, sleep quality should be carefully evaluated in nurses with primary headaches.
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spelling pubmed-45983342015-10-13 Comorbidity of poor sleep and primary headaches among nursing staff in north China Wang, Yan Xie, Jingdan Yang, Fei Wu, Shiwen Wang, Hebo Zhang, Xiaolan Liu, Hua Deng, Xin Xie, Wei Yu, Shengyuan J Headache Pain Research Article BACKGROUND: Sleep disorders and primary headaches are both more prevalent among nursing staff than in the general population. However, there have been no reports about the comorbidity of poor sleep and primary headaches among nursing staff. METHODS: Stratified random cluster sampling was used to select 1102 nurses from various departments in three hospitals in north China. Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). The diagnosis of primary headaches including migraine, tension-type headache (TTH), and chronic daily headache (CDH) was based on the International Classification of Headache Disorders, 3rd edition (beta version) (ICHD-3-beta). RESULTS: The response rate was 93 %. Among 1023 nurses, the prevalence of poor sleep was 56.7 %. Of these, 315 nurses (34.13 %) had poor sleep comorbid with primary headaches. The prevalence of poor sleep in the groups with CDH (82.1 %), migraine (78.9 %), and TTH (59.0 %) was significantly higher than that in the group without headaches (47.3 %) (all P < 0.05). Multivariate logistic regression revealed that rotating shifts and suffering headache were independent risk factors for poor sleep. Also, the 1-year prevalence of the three types of primary headache was significantly increased in the poor sleep group (migraine: 21.2 % vs. 7.2 %; TTH: 27.9 % vs. 24.9 %; CDH: 4.1 % vs. 1.1 %; P < 0.05). Compared with normal sleepers, nurses with poor sleep were 1.72 times more likely to have severe headache (OR: 1.72, 95 % CI: 1.14–2.57). CONCLUSION: Comorbidity of poor sleep and primary headaches among nursing staff is common. Therefore, sleep quality should be carefully evaluated in nurses with primary headaches. Springer Milan 2015-10-08 /pmc/articles/PMC4598334/ /pubmed/26449228 http://dx.doi.org/10.1186/s10194-015-0571-z Text en © Wang et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Wang, Yan
Xie, Jingdan
Yang, Fei
Wu, Shiwen
Wang, Hebo
Zhang, Xiaolan
Liu, Hua
Deng, Xin
Xie, Wei
Yu, Shengyuan
Comorbidity of poor sleep and primary headaches among nursing staff in north China
title Comorbidity of poor sleep and primary headaches among nursing staff in north China
title_full Comorbidity of poor sleep and primary headaches among nursing staff in north China
title_fullStr Comorbidity of poor sleep and primary headaches among nursing staff in north China
title_full_unstemmed Comorbidity of poor sleep and primary headaches among nursing staff in north China
title_short Comorbidity of poor sleep and primary headaches among nursing staff in north China
title_sort comorbidity of poor sleep and primary headaches among nursing staff in north china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598334/
https://www.ncbi.nlm.nih.gov/pubmed/26449228
http://dx.doi.org/10.1186/s10194-015-0571-z
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