Prevalence and Factors Associated with Mental Health Impact of COVID-19 Pandemic in Bangladesh: A Survey-Based Cross- Sectional Study

  1. Tanvir Abir
  2. Nazmul Ahsan Kalimullah
  3. Uchechukwu Levi Osuagwu
  4. Dewan Muhammad Nur-A Yazdani
  5. Taha Husain
  6. Piwuna Christopher Goson
  7. Palash Basak
  8. Md Adnan Rahman
  9. Abdullah Al Mamun
  10. P. Yukthamarani Permarupan
  11. Md Yusuf Hossein Khan
  12. Abul Hasnat Milton
  13. Kingsley E. Agho

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Abstract

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  1. Version published to 10.5334/aogh.3269
  2. Version published to 10.1101/2021.01.05.21249216v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2021.01.05.21249216: (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
    A self-administered survey was created using a google form, and since traditional face-to-face interviews were not possible due to the lockdown, social media platforms (e.g. Facebook, Google Plus, and Google Form) were used for the distribution of the survey to reach the target respondents living in different parts of Bangladesh.
    Google Plus
    suggested: (Resource Identification Portal, RRID:SCR_004098)
    Measurements and Covariates: The covariates, which are shown in Table 1, were classified into four parts: demographic, household factors, compliance with health measures, and health-related factors.
    Covariates
    suggested: None
    All statistical analyses were conducted using STATA/MP
    STATA/MP
    suggested: None

    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:
    This study had some limitations. First, it was limited in scope. Many of the participants (50%) were from the capital city of Dhaka division, limiting the generalization of our findings to rural regions. Second, the study was carried out during the COVID-19 lockdown period and lacked longitudinal follow-up. The analysis of the periodic state of individuals may not reflect the psychological state, which changes with time and with the alterations in one’s surrounding environment. Because of the increasingly arduous situation and the fear of the second wave, the mental health symptoms of residents could become more severe. Thus, the long-term psychological implications of this population are worth further investigation. Third, due to ethical requirements on anonymity and confidentiality, we were not allowed to collect contact details and personal information from the respondents. As a result, we could not conduct a prospective study that would provide a concrete finding to support the need for a focused public health initiative. Fourth, the study was not able to distinguish between pre-existing mental health symptoms and new symptoms. Fifth, there was an oversampling of a particular network of peers (e.g., students), which may lead to selection bias. However, a large percentage of respondents who were within 40 years old consisted of students. They were exposed to higher mental health symptoms due to the temporary shutdown of educational institutions, disbandment of social gathe...

    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 10.1101/2021.01.05.21249216v1 on medRxiv