Influence of night shift work and sleep efficiency on fatigue, depression and turnover intension among hospital nurses

Shin, Seunghwa; Kim, Su Hyun

doi:10.7465/jkdi.2020.31.2.311

Cited by 4 publications

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“…After reviewing the full text, we selected a final list of 32 studies ( Figure 1 ). Of these, 15 (46.9%) were cross-sectional surveys [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ], 11 (34.4%) were RCTs [ 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 ], 4 (12.5%) were quasi-experimental studies [ 35 , 36 , 37 , 38 ], and 2 (6.3%) were cohort design studies [ 39 , 40 ].…”

Section: Resultsmentioning

confidence: 99%

“…Overall, 2822 adults were included in the final 32 studies. The study population of night-shift workers included health care workers (n = 18, 56.3%) [ 10 , 12 , 13 , 15 , 18 , 21 , 24 , 25 , 27 , 29 , 31 , 32 , 33 , 35 , 36 , 38 , 39 , 40 ], production workers (n = 6, 18.8%) [ 11 , 14 , 19 , 20 , 22 , 30 ], transportation workers (n = 3, 9.4%) [ 17 , 20 , 28 ], mixed types of workers (n = 1, 3.1%) [ 23 ] and no specific types of workers (n = 4, 12.5%) [ 9 , 16 , 26 , 34 ].…”

Section: Resultsmentioning

confidence: 99%

“…Most studies (n = 24, 75%) [ 10 , 11 , 12 , 13 , 15 , 16 , 17 , 18 , 20 , 21 , 23 , 24 , 25 , 27 , 28 , 29 , 30 , 31 , 33 , 34 , 35 , 36 , 39 , 40 ] were published after 2011. The study types encompassed intervention evaluation studies (n = 15, 46.9%) [ 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 ], observational studies (n = 16, 50%) [ 9 , 10 , 11 , 12 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 39 ,…”

Section: Resultsmentioning

confidence: 99%

“…Of the 32 studies that used devices to measure the sleep patterns of night-shift workers, 6 (18.8%) studies measured sleep patterns in a laboratory [ 9 , 13 , 14 , 26 , 29 , 32 ] and 26 (81.2%) performed measurements using a wearable device in daily living conditions [ 10 , 11 , 12 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 27 , 28 , 30 , 31 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ]. None of the studies utilized laboratory tests and wearable sleep trackers together.…”

Section: Resultsmentioning

confidence: 99%

“…Among the 26 studies using wearable devices to measure sleep patterns, many used Actigraphy (n = 10, 31.3%) [ 15 , 19 , 20 , 22 , 24 , 25 , 27 , 34 , 36 , 39 ] or actiwatch (n = 10, 31.3%) [ 10 , 11 , 12 , 16 , 18 , 28 , 31 , 33 , 37 , 38 ] ( Table 1 ). Other devices included the Fitbit series (n = 3, 9.4%) [ 21 , 23 , 40 ], Somnowatch (n = 1, 3.1%) [ 30 ], ReadiBand (n = 1, 3.1%) [ 35 ], and home electroencephalography (n = 1, 3.1%) [ 17 ].…”

Section: Resultsmentioning

confidence: 99%

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Objective Assessment of Sleep Patterns among Night-Shift Workers: A Scoping Review

Shin

Kim

Jeon

2021

IJERPH

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In this scoping review of the literature, we identified the types and the parameters of objective measurements to assess sleep patterns among night-shift workers. We conducted a literature search using electronic databases for studies published from 1991 to 2020 and charted and summarized key information. We included 32 studies in the review. Polysomnography was used in 6 studies and wearable sleep detection devices were utilized in 26 studies. The duration of sleep assessment using the wearable devices ranged from 1 day to > 4 weeks, and more than half of the studies collected data for > 2 weeks. The majority of the studies used subjective questionnaires, such as the Karolinska Sleepiness Scale, Epworth Sleepiness Scale, and Pittsburgh Sleep Quality Index, in addition to objective sleep measurements. Total sleep time was the most common parameter, followed by sleep efficiency, sleep onset latency, and time or frequency of being awake. As the utilization of wearable devices to assess the sleep patterns of night-shift workers is expected to increase, further evaluation of device accuracy and precision, optimal data collection period, and key parameters is warranted.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Objective Assessment of Sleep Patterns among Night-Shift Workers: A Scoping Review

Shin

Kim

Jeon

2021

IJERPH

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Influencing factors of fatigue among public health nurses during the COVID‐19 pandemic: A cross‐sectional study

Cho

Yoon

Kim

2022

Public Health Nursing

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Objective This study investigated the effects of occupational stress, anxiety, depression, and sleep disturbance on the level of fatigue among public health nurses (PHNs). Design The study had a cross‐sectional, correlational survey design. Measures A total of 198 PHNs were enrolled from 30 public healthcare centers/offices. Data were collected between May and July 2021 using a structured questionnaire to investigate the general characteristics, occupational stress, anxiety, depression, sleep disturbance, and fatigue of the participants. Descriptive statistics and multiple regressions were used to determine fatigue and its influencing factors among PHNs. Results The participants showed high fatigue and occupational stress levels due to a lack of rewards. The percentage of participants with mild‐to‐severe anxiety and mild‐to‐severe depression, and those who identified themselves as poor sleepers were 44.9%, 50.5%, and 70.2%, respectively. High levels of sleep disturbance ( β = .23, p < .001), occupational stress ( β = .21, p < .001), anxiety ( β = .20, p = .016), depression ( β = .17, p = .043), being younger ( β = –.15, p = .004), and being a regular worker ( β = .13, p = .017) were influencing factors of fatigue. Conclusions Individual efforts and organizational interventions to enhance sleep quality are needed to relieve fatigue among PHNs. Further, organizational support can be considerate of young nurses and regular workers, and alleviate their occupational stress. Moreover, anxiety and depression should be managed efficiently to reduce fatigue.

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The Effect of Sleep Disorder and Fatigue on Turnover Intention of Seafarers who is On-boarding in Ocean-going Merchant Vessel

HWANG¹

2022

JFMSE

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Influence of night shift work and sleep efficiency on fatigue, depression and turnover intension among hospital nurses

Cited by 4 publications

References 0 publications

Objective Assessment of Sleep Patterns among Night-Shift Workers: A Scoping Review

Objective Assessment of Sleep Patterns among Night-Shift Workers: A Scoping Review

Influencing factors of fatigue among public health nurses during the COVID‐19 pandemic: A cross‐sectional study

The Effect of Sleep Disorder and Fatigue on Turnover Intention of Seafarers who is On-boarding in Ocean-going Merchant Vessel

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