Fear among Syrians: A Proposed Cutoff Score for the Arabic Fear of COVID-19 Scale

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Abstract

COVID-19 pandemic has led to psychological health issues one of which is fear. This study validates the Arabic version of the fear of COVID-19 scale and suggests a new cutoff score to measure fear of COVID-19 among the Syrian Population. A total of 3989 participants filled an online survey consisting of socio-demographic information, the fear of COVID-19 scale, the patient health questionnaire 9-item, and the generalized anxiety disorder 7-item. Receiver operating characteristic analysis was used to define cutoff scores for the fear of COVID-19 scale in relation to generalized anxiety disorder 7-item and the patient health questionnaire 9-item. The Cronbach α value of the Arabic fear of COVID-19 scale was 0.896, revealing good stability and internal consistency. The inter-item correlations were between [0.420–0.868] and the corrected item-total correlations were between [0.614–0.768]. A cutoff point of 17.5 was deduced from the analysis. According to the deduced cutoff point, 2111(52.9%) were categorized as extreme fear cases. This cutoff score deduced from this study can be used for screening purposes to distinguish community members that may be prone to developing extreme fear of COVID-19. Therefore, early preventive and supportive measures can then be delivered.

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  1. SciScore for 10.1101/2021.05.25.21257637: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: After providing informed consent online, participants were directed to the first part of the survey to complete questions about socio-demographic information including gender, age, residence, education level, occupation, and economic status.
    IRB: The scores were categorized into 4 groups: none (0-4), mild (5-9), moderate (10-14), and severe (15-21).(34) Ethics: The study was ethically approved by the Institutional Review Board (IRB) of the Faculty of Medicine, Syrian Private University.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analysis: Data analysis was conducted using the Statistical Package for Social Sciences version 25.0 (SPSS Inc., Chicago, IL, United States).
    SPSS
    suggested: (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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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.

    Results from scite Reference Check: We found no unreliable references.


    About SciScore

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