Unprecedented disruption of lives and work: Health, distress and life satisfaction of working adults in China one month into the COVID-19 outbreak

  1. Stephen X. Zhang
  2. Yifei Wang
  3. Andreas Rauch
  4. Feng Wei

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  1. ScreenIT

    SciScore for 10.1101/2020.03.13.20034496: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The first and second author did the analyses on unweighted data with STATA 16.0, and statistical significance was assessed by p□<□0.05.
    STATA
    suggested: (Stata, RRID:SCR_012763)

    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:
    The study has certain limitations. First, this study relied on an observational survey. Because the measures of the dependent variables of SF12, distress and life satisfaction used Likert scales, we tried to use predictors that were non-Likert scales, such as job status and severity of COVID-19 calculated based on archival data using the reported locations. Second, our sample is not a national representative sample. Our focus was to examine the differential effects on adults depending on the level of disruption, as captured by their job status, existing chronic issues, and exercise levels to identify who in the community of non-COVID-19 cases might need the most help for policymakers and potential caregivers. Third, even though we had data from people who had not been working even before the outbreak started (8.7%) and people who went out of work during the outbreak (1.6%), the sample size of those two groups was small and we are cautious not to report them in the findings. Nevertheless, people with these two job statuses could be important targets for future studies. We provide preliminary evidence on the health conditions of adults in COVID-19 affected regions. The identification of who might be more affected by COVID-19, not epidemiologically but simply by working and living in affected regions, carries important implications. Such identification can help to prioritize those who might need more help, and psychologists, mental health professionals and social workers can pro...

    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.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  2. Version published to 10.1016/j.psychres.2020.112958
  3. Version published to 10.1101/2020.03.13.20034496v2 on medRxiv
  4. Version published to 10.1101/2020.03.13.20034496v1 on medRxiv