The distress of Iranian adults during the Covid-19 pandemic – More distressed than the Chinese and with different predictors

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Abstract

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  1. SciScore for 10.1101/2020.04.03.20052571: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.


    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, we conducted this study using an observational cross-sectional survey, so our findings are predictive instead of causal. Second, our sample is not nationally representative, as our focus was to identify for policymakers and potential caregivers who in the population might need more help. Third, even though our sample contained adults who reported having Covid-19, the number of infected cases in our sample is too small, and moreover we suspect they would belong to the majority of Covid-19 infected cases that have mild symptoms, as people with more severe symptoms would not be able to answer our survey. Lastly, the scale has been translated from the Chinese version, which was newly developed in China during Covid-19, and further validation studies are needed on the scale. In sum, this paper provides the first empirical evidence of the level of distress of Iranian adults during the Covid-19 pandemic. The results suggest adults in Iran are experiencing more distress than adults in China, with level of distress predicted by different factors, suggesting future research needs to examine mental health and the predictors in individual countries to effectively identify and screen those who are more susceptible to mental health issues during the Covid-19 pandemic.

    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.