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2020 ; 72
(ä): 1-4
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English Wikipedia
The evaluation of sleep disturbances for Chinese frontline medical workers under
the outbreak of COVID-19
#MMPMID32502844
Qi J
; Xu J
; Li BZ
; Huang JS
; Yang Y
; Zhang ZT
; Yao DA
; Liu QH
; Jia M
; Gong DK
; Ni XH
; Zhang QM
; Shang FR
; Xiong N
; Zhu CL
; Wang T
; Zhang X
Sleep Med
2020[Aug]; 72
(ä): 1-4
PMID32502844
show ga
OBJECTIVE: To evaluate sleep disturbances of Chinese frontline medical workers
(FMW) under the outbreak of coronavirus disease 2019 (COVID-19), and make a
comparison with non-FMW. METHODS: The medical workers from multiple hospitals in
Hubei Province, China, volunteered to participate in this cross-sectional study.
An online questionnaire, including Pittsburgh Sleep Quality Index (PSQI), Athens
Insomnia Scale (AIS) and Visual Analogue Scale (VAS), was used to evaluate sleep
disturbances and mental status. Sleep disturbances were defined as PSQI>6 points
or/and AIS>6 points. We compared the scores of PSQI, AIS, anxiety and depression
VAS, as well as prevalence of sleep disturbances between FMW and non-FMW.
RESULTS: A total of 1306 subjects (801 FMW and 505 non-FMW) were enrolled.
Compared to non-FMW, FMW had significantly higher scores of PSQI (9.3 ± 3.8 vs
7.5 ± 3.7; P < 0.001; Cohen's d = 0.47), AIS (6.9 ± 4.3 vs 5.3 ± 3.8; P < 0.001;
Cohen's d = 0.38), anxiety (4.9 ± 2.7 vs 4.3 ± 2.6; P < 0.001; Cohen's d = 0.22)
and depression (4.1 ± 2.5 vs 3.6 ± 2.4; P = 0.001; Cohen's d = 0.21), as well as
higher prevalence of sleep disturbances according to PSQI > 6 points (78.4% vs
61.0%; relative risk [RR] = 1.29; P < 0.001) and AIS > 6 points (51.7% vs 35.6%;
RR = 1.45; P < 0.001). CONCLUSION: FMW have higher prevalence of sleep
disturbances and worse sleep quality than non-FMW. Further interventions should
be administrated for FMW, aiming to maintain their healthy condition and
guarantee their professional performance in the battle against COVID-19.
|Adult
[MESH]
|Anxiety/*epidemiology/psychology
[MESH]
|Betacoronavirus
[MESH]
|COVID-19
[MESH]
|Case-Control Studies
[MESH]
|China/epidemiology
[MESH]
|Coronavirus Infections/*epidemiology
[MESH]
|Cross-Sectional Studies
[MESH]
|Depression/*epidemiology/psychology
[MESH]
|Disease Outbreaks
[MESH]
|Female
[MESH]
|Health Personnel/psychology/*statistics & numerical data
[MESH]
|Humans
[MESH]
|Male
[MESH]
|Pandemics
[MESH]
|Pneumonia, Viral/*epidemiology
[MESH]
|Prevalence
[MESH]
|SARS-CoV-2
[MESH]
|Sex Factors
[MESH]
|Sleep Initiation and Maintenance
Disorders/*epidemiology/physiopathology/psychology
[MESH]
|Sleep Wake Disorders/epidemiology/physiopathology
[MESH]