COVID-19 vaccine distrust in Colombian university students: Frequency and associated variables

  1. Adalberto Campo-Arias
  2. John Carlos Pedrozo-Pupo

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Abstract

The study aimed to know the frequency and variables associated with COVID-19 vaccine distrust in students of a Colombian university. A cross-sectional study was carried out which participated emerging adult students of a Colombian university. A total of 1,136 students between 18 and 29 years (M= 22.0, SD = 3.0); most of them were female (66.0%), non-health students (82.8%), low-income (79.0%), and residents of urban areas (84.9%). It was frequent low institutional trust (74.8%), low cognitive, social capital (27.9%), low fear of COVID-19 (49.5%), low perceived stress related to COVID-19 (83.5%), and high COVID-19 vaccine distrust (78.9%). Non-health carrier (Adjusted OR = 3.63, 95%CI 2.58-5.10), rural residence (AOR = 1.85, 95%CI 1.13-3.04), low income (AOR = 1.84, 95%CI 1.31-2.57), and perceived stress related to COVID-19 (AOR = 1.74, 95%CI 1.20-2.54) were related to high COVID-19 vaccine distrust. In conclusion, COVID-19 vaccine distrust is high among emerging adult Colombian university students. The COVID-19 vaccine distrust is related to non-health science carriers, rural residents, low-income, and low-perceived stress related to COVID-19. The COVID-19 related health literacy should be improved in students of this university considering socio-cultural background.

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    SciScore for 10.1101/2021.03.07.21253080: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: However, the questionnaire’s presentation only invited participants from the age of 18 because minors’ participation requires parents’ or guardians’ consent in Colombia.
    IRB: An institutional research ethics board approved the project (Act 002 of the ordinary meeting of March 26th, 2020).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Besides, informed consent was required to implement a questionnaire designed by Google Form(c).
    Google Form(c
    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:
    Nevertheless, the study has several limitations that invite one to take the findings with caution. The sample does not represent Colombian university students [17], the response rate was relatively low [25], and reliability of the institutional trust measurement showed a value lower than 0.70 [39]; although, depending on the development of the instrument, values greater than 0.60 may be allowed [40]. In conclusion, the frequency of COVID-19 vaccine distrust is high among emerging adult pre-graduate students at a Colombian university. The COVID-19 vaccine distrust is associated with non-health science carriers, rural residents, low-income and low-perceived stress related to COVID-19. COVID-19 related health literacy should be improved in this group of students. All training actions must consider the social and cultural context of the students.

    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.

  2. Version published to 10.1101/2021.03.07.21253080v1 on medRxiv