| Title |
Excessive daytime sleepiness in general hospital nurses: prevalence, correlates, and its association with adverse events
|
|---|---|
| Published in |
Sleep and Breathing, August 2018
|
| DOI | 10.1007/s11325-018-1684-9 |
| Pubmed ID | |
| Authors |
Liping Chen, Chunliu Luo, Shuai Liu, Weiju Chen, Yaping Liu, Yunjia Li, Yun Du, Haihua Zou, Jiyang Pan |
| Abstract |
To investigate the prevalence and correlates of excessive daytime sleepiness (EDS) in a population of hospital nurses in South China as well as the influence of EDS on the occurrence of adverse events. A total of 1102 nurses working in a large medical center were invited to participate in this cross-sectional study (96.9% females, mean age 29.6 years). They all completed a self-reported questionnaire consisting of items on demographic variables, lifestyle factors, insomnia, anxiety, depression, and both work-related and sleep-related characteristics. A total of 1048 nurses gave a valid response (response rate 95.1%). Among them, 169 (16.1%) reported EDS as defined as an Epworth Sleepiness Scale ≥ 14. Depression (adjusted odds ratio = 2.24, 95% confidence interval 1.51-3.31), anxiety (1.65; 1.02-2.67), insomnia (2.29; 1.56-3.36), rotating shift work (1.98; 1.03-3.83), and low interest in work (1.74; 1.01-2.99) were all independent risk factors of the occurrence of EDS. EDS is associated with the occurrence of adverse events after controlling for confounding factors (adjusted OR 1.83, CI 1.26 to 2.67). EDS was common among this relatively young and healthy nurse population in south China. There were clear associations between EDS and depression, anxiety, insomnia, rotating shift work, and low work-related interest. Furthermore, EDS was an independent risk factor in the occurrence of adverse events (AEs) in our subjects. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 14% |
| Student > Master | 9 | 13% |
| Student > Postgraduate | 6 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 6 | 8% |
| Unknown | 33 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 15% |
| Nursing and Health Professions | 10 | 14% |
| Psychology | 5 | 7% |
| Neuroscience | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 39 | 54% |
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 19 August 2018.
All research outputs
#20,773,720
of 25,519,924 outputs
Outputs from Sleep and Breathing
#969
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Outputs of similar age
#253,235
of 325,326 outputs
Outputs of similar age from Sleep and Breathing
#12
of 17 outputs
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