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Sleep disturbances among Chinese clinical nurses in general hospitals and its influencing factors

Overview of attention for article published in BMC Psychiatry, July 2017
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Title
Sleep disturbances among Chinese clinical nurses in general hospitals and its influencing factors
Published in
BMC Psychiatry, July 2017
DOI 10.1186/s12888-017-1402-3
Pubmed ID
Authors

Hongyun Dong, Qiong Zhang, Zihua Sun, Fengxin Sang, Yingzhi Xu

Abstract

This study aimed to determine the prevalence of sleep disturbances among clinical nurses in general hospitals in Mainland China, and identify its associate factors. Using a cross-sectional design, a total of 5012 clinical nurses selected by random cluster sampling completed the survey on the Pittsburgh Sleep Quality Index (PSQI), measures of quality of life indexed by the Medical Outcomes Study 12-item Short-Form Health Survey, occupational stress evaluated by the Job Content Questionnaire, lifestyle and sociodemographic details. The average PSQI score of 4951 subjects was 7.32 ± 3.24, including 3163 subjects with PSQI ≥5, accounting for 63.9%. Multivariate Logistic regression analysis showed that the risk factors for sleep disturbances in nurses were female gender, the Emergency department and ICU, many years of service, high night shift frequency, professional status: primary and intermediate, employment status: temporary, poor quality of life: poor mental health, low perceived health, high occupational stress (high psychological demand, low job control and low workplace social support). Sleep disturbances are highly prevalent among clinical nurses in general hospitals in Mainland China. Many of the factors listed above were associated with the prevalence of sleep disturbances in nurses, and occupational stress plays an important role in the development of sleep disturbances in Chinese clinical nurses.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 170 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 16%
Student > Bachelor 22 13%
Lecturer 13 8%
Student > Doctoral Student 9 5%
Researcher 7 4%
Other 21 12%
Unknown 70 41%
Readers by discipline Count As %
Nursing and Health Professions 46 27%
Medicine and Dentistry 19 11%
Psychology 11 6%
Agricultural and Biological Sciences 3 2%
Neuroscience 3 2%
Other 14 8%
Unknown 74 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 July 2017.
All research outputs
#19,292,491
of 23,881,329 outputs
Outputs from BMC Psychiatry
#4,109
of 4,939 outputs
Outputs of similar age
#243,358
of 315,648 outputs
Outputs of similar age from BMC Psychiatry
#90
of 108 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.