Prevalence and risk factors for acute posttraumatic stress disorder during the COVID-19 outbreak

  1. Luna Sun
  2. Zhuoer Sun
  3. Lili Wu
  4. Zhenwen Zhu
  5. Fan Zhang
  6. Zhilei Shang
  7. Yanpu Jia
  8. Jingwen Gu
  9. Yaoguang Zhou
  10. Yan Wang
  11. Nianqi Liu
  12. Weizhi Liu

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Abstract

No abstract available

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  1. Version published to 10.1016/j.jad.2021.01.050
  2. Version published to 10.1101/2020.03.06.20032425v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2020.03.06.20032425: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Ethics approval for this study was received from the Ethics Committee of the Naval Medical University.
    Consent: Informed consent was obtained from all participants.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical Analysis: Statistical analysis was performed using SPSS 21.0 for Windows.
    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: We detected the following sentences addressing limitations in the study:
    Limitations: The results of this study should be considered with several potential limitations. First, the majority of participants in this study were the general public, with confirmed or suspected patients being a small part, whose PTSD symptoms might be far more severe. Thus, more attention should be paid to the psychological condition of COVID-19 patients. Second, the measurement of PTSD in this study might be vulnerable to selection bias because of an online self-report study, such as participants’ recruitment. The potential bias might result from the fact that the elderly and people who reside in remote areas have less access to the Internet. Additionally, some participants might be reluctant to report their real psychological status in a questionnaire. Third, the prevalence of PTSD in this study was estimated by an online questionnaire rather than a clinical interview. Although online survey was the best choice during that period when a series of restrictive measures (e.g. lockdowns, stay-at-home order) limited data collection, future study can benefit from adopting a more rigorous approach with more valid and reliable measures than online surveys.

    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.

  4. Version published to 10.1101/2020.03.06.20032425v1 on medRxiv