Excessive daytime sleepiness in general hospital nurses: prevalence, correlates, and its association with adverse events

Chen, Liping; Luo, Chunliu; Liu, Shuai; Chen, Wei‐Ju; Liu, Yaping; Li, Yunjia; Du, Yun; Zou, Haihua; Pan, Jiyang

doi:10.1007/s11325-018-1684-9

Cited by 21 publications

(27 citation statements)

References 61 publications

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“…Although no relevant data exists in the literature regarding Greece in order to be able to compare our findings, we are in good agreement with studies performed in nurses in New Zealand (that reported 33.75% of positive ESS) and Sweden (that reported 32.5% of positive ESS with a cut-off of 9 that was different from the one in our study that was 10) [30,31]. Our results were higher than a recent study performed in China that reported 16.1% positive ESS but the cut-off the authors used was 14, therefore these results are not directly comparable with the current study [32]. Another important finding of our study was that the nursing population working in shift status had significant instability in all three main meals of the day as determined by the self-report of participants of meal skipping.…”

Section: Discussioncontrasting

confidence: 99%

Risk Assessment for Self Reported Obstructive Sleep Apnea and Excessive Daytime Sleepiness in a Greek Nursing Staff Population

et al. 2019

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Background and objectives: The risk assessment of Obstructive Sleep Apnea (OSA) and Excessive Daytime Sleepiness (EDS) in specific occupational populations is important due to its association with morbidity. The aim of the present study was to identify the risk of OSA development and EDS in a Greek nursing staff population. Materials and Methods: In this cross-sectional study a total of 444 nurses, 56 males (age = 42.91 ± 5.76 years/BMI = 27.17 ± 4.32) and 388 females (age = 41.41 ± 5.92 years/BMI = 25.08 ± 4.43) working in a Greek secondary and tertiary hospital participated during the period from 18 January 2015 to 10 February 2015. The participants completed the Berlin Questionnaire (BQ), concerning the risk for OSA and the Epworth Sleepiness Scale (ESS), concerning the EDS. The work and lifestyle habits of the participants were correlated with the results of the questionnaires. Results: According to the BQ results 20.5% (n = 91) of the nursing staff was at high risk for OSA. Increased daytime sleepiness affected 27.7% (n = 123) of the nurses according to ESS results. Nurses at risk for Obstructive Sleep Apnea Syndrome (OSAS), positive for both BQ and ESS, were 7.66% (n = 34). Out of the nurses that participated 77% (n = 342) were working in shifts status and had significant meal instability (breakfast p < 0.0001, lunch p < 0.0001, dinner p = 0.0008). Conclusions: The population at high risk for OSA and EDS in the nursing staff was found to be 20% and 28% respectively. High risk for OSAS was detected in 7.66% of the participants. The high risk for OSA and EDS was the same irrespective of working in shift status. In specific, nursing population age was an independent predictor for high risk for OSA and skipping lunch an independent predictor of daytime sleepiness.

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Section: Discussioncontrasting

confidence: 99%

Risk Assessment for Self Reported Obstructive Sleep Apnea and Excessive Daytime Sleepiness in a Greek Nursing Staff Population

et al. 2019

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“…For instance, a population-based 4-year cohort study from Taiwan confirmed that relapse insomnia increased the risk of anxiety and depression [38]. Another recent study of a young and healthy nurse population in south China also identified depression as an independent risk factor for excessive daytime sleepiness, with an adjusted odds ratio of 2.24 (95% CI 1.51–3.31) [28]. The results of the current study were consistent with these previous studies, in demonstrating a close association between depression and poor sleep, but not indicating a cause-effect relationship.…”

Section: Discussionmentioning

confidence: 99%

Association between depressive symptoms and poor sleep quality among Han and Manchu ethnicities in a large, rural, Chinese population

Liu

Bloom

et al. 2019

PLoS ONE

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ObjectivesTo estimate the relationship between sleep quality and depression, among Han and Manchu ethnicities, in a rural Chinese population.MethodsA sample of 8,888 adults was selected using a multistage cluster and random sampling method. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Depressive symptoms were assessed via the Center for Epidemiological Survey, Depression Scale (CES-D). Logistic regression was conducted to assess associations between sleep quality and depression.ResultsThe prevalence of poor sleep quality and depression in the Manchus (20.74% and 22.65%) was significantly lower than that in the Hans (29.57% and 26.25%), respectively. Depressive participants had higher odds ratios of global and all sub PSQI elements than non-depressive participants, both among the Hans and the Manchus. Additive interactions were identified between depressive symptoms and ethnicity with global and four sub-PSQI elements, including subjective sleep quality, sleep disturbance, use of sleep medication and daytime dysfunction.ConclusionsThe findings revealed that the prevalence of poor sleep quality and depression among the Hans was greater than among the Manchus. Depression was associated with higher odds of poor sleep quality.

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“…This exhaustion was certainly actual of our participants who described accidents or near accidents when traveling home, sleepy after 24-25 hr at work. Excessive sleepiness is a significant factor in numerous life-threatening traffic accidents (Chen et al, 2019). Specifically, there are increased risks of traffic accidents reported at 11.5 times for those who sleep <4 hr in the past 24 hr, compared with just 1.3 times after seven hours of sleep (Lee et al, 2016).…”

Section: Being Exhaustedmentioning

confidence: 99%

“It is really so exhausting”: Exploring intensive care nurses’ perceptions of 24‐hour long shifts

Koy

Yunibhand

Turale

2020

Journal of Clinical Nursing

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Aim and objectives To explore the perceptions and experiences of Cambodian ICU registered nurses regarding their working 24‐hr shifts. Background In Europe and the USA, nurses are moving to a 12‐hr shift, and numerous studies have revealed the positive and negative effects of these. However, lesser known is the impact of 24‐hr nursing shifts on care quality, and health and safety. In Cambodia, 100% of nurses are rostered for these in their shift patterns, but until this study no research had been conducted on such shifts. Design A qualitative descriptive study. Method Three focus group discussions were conducted with 30 registered nurses in July 2019, ten in each group, from three intensive care units of three hospitals in Cambodia. Data saturation was obtained. Data were analysed using content analysis, and the COREQ was applied for reporting this study. Findings The ICU nurses’ perspectives revealed significant and unacceptable effects of working shifts of ~25‐hr length, taking into account staff handover. Two major themes arose: It is so exhausting and Compromised hospital care. Alarmingly, participants worked on average 72 hr per week, were exhausted, and nursed between 6 and 10 critically ill patients per shift. Conclusion To our knowledge this is the first study on nurses working 24‐hr shifts, revealing unacceptable, high risks for the health and safety of nurses and patients, with nursing activities left undone, and a lack of quality care. Relevance to clinical practice Improving nurse and patient health and safety, and quality of care requires hospital leaders to work with government and nursing organisations to develop better shift strategies. Resources need to be provided so that: nurses can work a maximum 12‐hr shifts; the ratio of nurses to patients is improved; and nurses can have decent break times. This has major implications, for not only practice, but also management, administration, budgets and education.

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Excessive daytime sleepiness in general hospital nurses: prevalence, correlates, and its association with adverse events

Cited by 21 publications

References 61 publications

Risk Assessment for Self Reported Obstructive Sleep Apnea and Excessive Daytime Sleepiness in a Greek Nursing Staff Population

Risk Assessment for Self Reported Obstructive Sleep Apnea and Excessive Daytime Sleepiness in a Greek Nursing Staff Population

Association between depressive symptoms and poor sleep quality among Han and Manchu ethnicities in a large, rural, Chinese population

“It is really so exhausting”: Exploring intensive care nurses’ perceptions of 24‐hour long shifts

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