Investigation on sleep quality in Chinese medical staff during the COVID-19 pandemic

Jin, Lairun; Zhou, Shuang; Yuan, Hui

doi:10.1080/13548506.2021.1922722

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…Regarding the administered sleep measures, 103 studies reported PSQI scores. Specifically, 100 reported PSQI global scores [ [37] , [38] , [39] , [40] , 42 , 43 , 45 ], [ 46 , [48] , [49] , [50] , [51] , [52] , [53] ], [ [55] , [56] , [57] , [58] , [59] , [60] , [61] , [62] , [63] , [65] , [66] , [67] , [68] ], [ [70] , [71] , [72] , [73] , 75 , [77] , [78] , [79] , [80] , [81] , [82] , [83] , [84] , 86 , 87 ], [ [91] , [92] , [93] , [94] , [96] , [97] , [98] , 102 , 103 , [106] , [107] , [108] , [109] , [110] ], [ [113] , [114] , [115] , [116] , 119 , 120 , [122] , [123] , [124] , [...…”

Section: Resultsmentioning

confidence: 99%

“…The total scores ranged from 3 to 6. Most of the studies (114) [ [37] , [38] , [39] , [40] , [41] , [42] , [43] , [44] , [45] , [46] ], [ [48] , [49] , [50] , [51] , [52] , [53] , [54] , [55] , [56] , [57] , [58] , [59] , [60] ], [ [63] , [64] , [65] , [66] , [67] , [68] ], [ [70] , [71] , [72] , [73] , [75] , [76] , [77] ], [ [79] , [80] , [81] , [82] , [83] , [84] , [85] , [86] , [87] , [88] , [89] , 91 , [93] , [94] , [95] , [96] , [97] , [98] , [99] ], [ [101] , [102] , [103] , [104] , [105] , [106] , [107] , [108] , [109] , [110] , [113] , …”

Section: Resultsunclassified

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Subjective sleep alterations in healthy subjects worldwide during COVID-19 pandemic: A systematic review, meta-analysis and meta-regression

Scarpelli¹,

Zagaria²,

Ratti³

et al. 2022

Sleep Medicine

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Section: Resultsmentioning

confidence: 99%

Section: Resultsunclassified

Subjective sleep alterations in healthy subjects worldwide during COVID-19 pandemic: A systematic review, meta-analysis and meta-regression

Scarpelli¹,

Zagaria²,

Ratti³

et al. 2022

Sleep Medicine

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“…Sleep disturbances, sleeping medication and daytime dysfunction were correlated with DBAS-16 consequences scale, DBAS-16 worry/helpless subscale, DBAS-16 medication subscale and DBAS-16 total score. The specific data of PSQI scores are shown in our previous study ( 27 ).…”

Section: Resultsmentioning

confidence: 99%

Investigation on sleep-related cognition of Chinese health care workers during the first wave of COVID-19 pandemic

Wang

Ji²,

Guo³

et al. 2023

Front. Psychiatry

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BackgroundThe COVID pandemic has brought tremendous negative effects on the mental health of health care workers, such as anxiety, depression, and sleep disorders. We conducted this study to evaluate the sleep-related cognition of Chinese health care workers (HCWs) during the first wave of COVID-19 pandemic and analyze its association with sleep quality, so as to provide scientific reference for improving sleep of HCWs.Patients and methodsA total of 404 HCWs from Yijishan Hospital of Wuhu City, China were enrolled in the study, selected by randomized cluster sampling in May 2020. We made a questionnaire to collect the general demographic information of the participants. The Pittsburgh Sleep Quality Index (PSQI) and a brief version of Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16) were used to measure sleep quality and sleep-related cognition, respectively.ResultsThe results showed that 312 HCWs (77.2%) had false beliefs and attitudes about sleep, while only 92 HCWs (22.8%) had correct beliefs about sleep. In addition, we found that those HCWs who were older, married, with a bachelor’s degree or higher, nurses, more daily working hours (> 8 h) and monthly night shifts (≥ 5 times), had higher DBAS-16 scores (all p < 0.05). However, we did not find significant differences between men and women in DBAS-16 scores. According to the definition of PSQI, a total of 1/4 of the HCWs are poor sleepers and their DBAS-16 score was higher than good sleepers (t = 7.622, p < 0.001). In the end, we confirmed a positive correlation between sleep cognition and sleep quality (r = 0.392, p < 0.01).ConclusionOur study revealed false beliefs and attitudes about sleep were prevalent among HCWs during the first wave of COVID-19 pandemic, and these false beliefs about sleep were closely correlated to sleep quality. We recommend fighting against these false beliefs about sleep.

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“…Under the influence of such poor working conditions and tremendous psychological pressure, nurses' sleep problems are more evident and urgent to be solved. Factors influencing sleep quality of front-line nurses include sociodemographic factors, such as gender, marital status, age and educational level (Al Maqbali, 2021;Jin et al, 2021;Simonetti et al, 2021;Zhan et al, 2020);working-related factors, such as the number of patients, working years, working experience, frequency of night shifts and working…”

Section: Introductionmentioning

confidence: 99%

Anxiety and sleep quality among front-line nurses treating first wave COVID-19 in China: The mediating role of mindfulness

Liu

et al. 2022

Archives of Psychiatric Nursing

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Investigation on sleep quality in Chinese medical staff during the COVID-19 pandemic

Cited by 5 publications

References 8 publications

Subjective sleep alterations in healthy subjects worldwide during COVID-19 pandemic: A systematic review, meta-analysis and meta-regression

Subjective sleep alterations in healthy subjects worldwide during COVID-19 pandemic: A systematic review, meta-analysis and meta-regression

Investigation on sleep-related cognition of Chinese health care workers during the first wave of COVID-19 pandemic

Anxiety and sleep quality among front-line nurses treating first wave COVID-19 in China: The mediating role of mindfulness

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