Mental Health Status of Adolescents During the COVID-19 Pandemic: A Cross-sectional Survey among the Bangladeshi Graduate Students at Dhaka City

  1. Taha Husain
  2. Mohammad Main Uddin
  3. Saber Ahmed Chowdhury
  4. Nazmul Ahsan Kalimullah

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Abstract

Objectives

To identify the level of Mental Health Status of Adolescents During the COVID-19 Pandemic among the Bangladeshi Graduate Student at Dhaka

Method

A cross-sectional survey was conducted with 330 students from different public and Private Universities in Dhaka, Bangladesh between April 01, 2020 and July 31, 2020 amid the COVID-19 lockdown period in Bangladesh. A standard, self-administered online questionnaire consisting of questions on socio-demographic variables, mental health status, as well as stress management sent to the respondents through social networking platforms. Data were analyzed using descriptive statistics, t-test, one-way ANOVA and correlation tests.

Results

The mean score of mental health status was 2.08 based on four points scale. They felt problem in decision making (3.04), in doing the things well (2.92), in enjoying normal day to day life (2.88), in playing a useful part in life (2.85), in doing their task (2.75), living in perfectly well and in good health (2.70). The respondents also developed a suicidal tendency (2.55), felt nervous in strung-up (2.24), took longer time to do things (2.14), felt tightness and pressure in head (2.12), and found themselves pressurized by various stuff (2.05). This study also found a significant positive relationship between mental health status and age, living with parents, and parents’ attitude. Finally, this study revealed that the respondents managed their stress by chatting with their friends, parents and siblings, and by sleeping.

Conclusion

Mental health status of adolescents was found moderate in this study. This study suggests further large-scale study including different socio-economic settings in order to figure out the real scenario of adolescents’ mental health status of the country during the pandemic.

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    SciScore for 10.1101/2020.11.12.379487: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Ethics Statement: The formal ethical approval of this research was received from the ethics committee of Dr. Wazed Research and Training Institute, Begum Rokeya University, Rangpur
    Randomizationnot detected.
    Blindingnot detected.
    Power AnalysisStudy design: A descriptive cross-sectional study was performed to identify the level of mental health status of the adolescents in the public and private universities in Dhaka, Bangladesh. Study Participants: The sample size of this study was estimated by using ‘G power analyses’.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data analysis is performed using IBM SPSS Statistics for Windows (Version 23.0), IBM SPSS Amos (Version 23.0), and Microsoft Excel (Version 2016).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)

    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:
    Another limitation was the exclusive use of self-report measures, a strategy often associated with method variance. The outcome of the study depended on the participants’ honesty and cooperation in answering the questions. Considering health threats, a face-to-face interview was avoided whereas compared to face-to-face interviews, self-reporting has certain 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:
    • No conflict of interest statement was detected. If there are no conflicts, we encourage authors to explicit state so.
    • No funding statement was detected.
    • 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 10.1101/2020.11.12.379487v1 on bioRxiv