Risk Exposures, Risk Perceptions, Negative Attitudes Toward General Vaccination, and COVID-19 Vaccine Acceptance Among College Students in south Carolina
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Abstract
The current study investigated how risk exposures, risk perceptions of COVID-19, and negative attitudes toward general vaccination were related to COVID vaccine acceptance among college students.
Design:
Cross-sectional study.
Setting:
Data was collected by online survey using RedCap among college students in South Carolina between September 2020 and October 2020.
Sample:
1062 college students in South Carolina.
Measures:
risk exposures to COVID-19, perceived severity of COVID-19, perceived susceptibility of COVID-19, negative attitude toward general vaccination, vaccine acceptance of COVID-19.
Analysis:
Hierarchical linear regression was used to examine the association of these factors with COVID-19 vaccine acceptance controlling for key demographics.
Results:
Perceived severity of COVID-19 was positively associated with vaccine acceptance (ß = 0.19, p < 0.001). Higher level of risk exposures (ß = −0.08, p = 0.007) and negative attitude toward general vaccination (ß = −0.38, p < 0.001) were associated with low vaccine acceptance.
Conclusion:
We need tailored education messages for college students to emphasize the severity of COVID-19, address the concerns of side effects of general vaccines by dispelling the misconception, and target the most vulnerable subgroups who reported high level of risk exposures while showed low intention to take the vaccine.
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SciScore for 10.1101/2020.11.26.20239483: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: The invitation included a weblink of this survey and an online consent providing information regarding study purposes, procedure, voluntary nature, and confidentiality.
IRB: The study protocol was approved by the Institute Review Board at University of South Carolina.Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Participants and procedure: Self-administrated and anonymous online survey was conducted through RedCap (a web-based research platform) (Paris & Hynes, 2019) among college students in South Carolina between September … SciScore for 10.1101/2020.11.26.20239483: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: The invitation included a weblink of this survey and an online consent providing information regarding study purposes, procedure, voluntary nature, and confidentiality.
IRB: The study protocol was approved by the Institute Review Board at University of South Carolina.Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Participants and procedure: Self-administrated and anonymous online survey was conducted through RedCap (a web-based research platform) (Paris & Hynes, 2019) among college students in South Carolina between September and October 2020. RedCapsuggested: (REDCap, RRID:SCR_003445)All statistical analyses were conducted using SPSS software version 26. SPSSsuggested: (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:There are several methodological limitations in the current study. First, the participants were recruited using a convenience sampling approach. Cautions are needed in applying the results in other settings or other populations since correlates of vaccine acceptance could be population and context specific. Second, cross-sectional data would prevent us from drawing any causal inference between risk perception variables and COVID-19 vaccine acceptance. Third, the self-report survey may be subject to response bias (e.g., social desirability). Forth, some measures in the current study were self-developed and have not yet been validated. Future research may benefit from using a random sampling approach, applying a longitudinal design, recruiting college students across different colleges, and validating self-developed measures. Despite of these limitations, our study explored the impacts of various key perceptions and attitudes on vaccine acceptance among college students confirming the complexity of vaccine acceptance. The investigation of psychosocial reasons of young people that may hamper or promote motivations of getting vaccinated may have some important implications in public health practice since they have been shown as the most hesitant age group for the future COVID vaccine (Barello, Nania, Dellafiore, Graffigna, & Caruso, 2020; Neumann-Böhme et al., 2020). First, we need to tailor the health communication message to young adults emphasizing the severity of COVID-19 dis...
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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