The Psychological Impact of Coronavirus on University Students and its Socio-Economic Determinants in Malaysia

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Abstract

The objective of this article is to examine the impact of coronavirus disease 2019 (COVID-19) upon university students’ anxiety level and to find the factors associated with the anxiety level in Malaysia. We collected data from 958 students from 16 different universities using an originally designed questionnaire. The Generalized Anxiety Disorder Scale 7-item (GAD-7) was used to estimate the anxiety. Then we applied the ordered logit model to calculate the odds ratios (OR) and factors associated with the anxiety level. We find that 12.3% of students were normal, whereas 30.5% were experiencing mild anxiety, 31.1% moderate anxiety, and 26.1% severe anxiety. Surprisingly, only 37.2% of students were aware of mental health support that was provided by their universities. However, age above 20 years (OR = 1.30), ethnicity Chinese (OR = 1.72), having any other disease (OR = 2.0), decreased family income (OR = 1.71), more time spent on watching COVID-19-related news (OR = 1.52), and infected relative or friends (OR = 1.62) were risk factors for anxiety among students. We conclude that the government of Malaysia should monitor the mental health of the universities’ students more closely and universities should open online mental health support clinics to avoid the adverse impacts of anxiety.

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  1. SciScore for 10.1101/2020.10.27.20220723: (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

    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: 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.

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