The evaluation of sleep disturbances for Chinese frontline medical workers under the outbreak of COVID-19
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SciScore for 10.1101/2020.03.06.20031278: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: The Institutional Review Board of Chinese PLA General Hospital approved this study.
Consent: Informed consent was waived due to the cross-sectional nature of this study.Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable In the subgroup analysis of fMW, the scores of PSQI, AIS, anxiety, and depression VAS were compared by ANOVA between male and female fMW. Table 2: Resources
Software and Algorithms Sentences Resources Statistical analyses were performed using SPSS 23.0 for Windows (IBM, Somers, NY). SPSSsuggested: (SPSS, RRID:SCR_002865)Results from OddPub: We did not detect open data. We also did not detect open …
SciScore for 10.1101/2020.03.06.20031278: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: The Institutional Review Board of Chinese PLA General Hospital approved this study.
Consent: Informed consent was waived due to the cross-sectional nature of this study.Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable In the subgroup analysis of fMW, the scores of PSQI, AIS, anxiety, and depression VAS were compared by ANOVA between male and female fMW. Table 2: Resources
Software and Algorithms Sentences Resources Statistical analyses were performed using SPSS 23.0 for Windows (IBM, Somers, NY). SPSSsuggested: (SPSS, RRID:SCR_002865)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Our study has several limitations that should be noted. First, this is a cross-sectional study. All subjects were volunteered to participate in the survey, so there may be subject selection bias. Second, other occupations who directly expose to COVID-19 patients may experience sleep disturbances potentially, such as police and social workers, but our study merely included the medical workers. Third, our questionnaires did not contain sufficient items, such as the potential risk factors for sleep disturbances of fMW, which can provide more information and be used to explore the underlying mechanisms. Forth, our study lacked of interventions and follow-ups, which may show the following changes of sleep disturbances for fMW. In conclusion, our study showed that over half of the fMW had sleep disturbances in the outbreak of COVID-19. fMW had higher prevalence of sleep disturbances and worse sleep quality than non-fMW. And female fMW showed severer sleep disturbances compared to male 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. However, further prospective randomized controlled trials are warranted to validate our results.
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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