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Health Belief Model Factors and Personal Characteristics Associated With COVID-19 Vaccination Behaviors in Adults.
Kim, Suhyun; Lee, Seonah.
  • Kim S; Author Affiliations: Department of Nursing, Nambu University (Dr Kim); and College of Nursing, Chonnam National University (Dr Lee), Gwangju, Republic of Korea.
Comput Inform Nurs ; 2023 Jun 05.
Article in English | MEDLINE | ID: covidwho-20237947
ABSTRACT
Prior studies have mainly examined factors regarding COVID-19 vaccination intentions. This study investigated the factors associated with COVID-19 vaccination behaviors in Korean adults. A total of 620 adults recruited from a survey company between July and August 2021 completed an online survey asking about their personal characteristics, health beliefs, and COVID-19 vaccination status. The collected data were analyzed using descriptive statistics, Pearson's χ2 test, independent-samples t test, and logistic regression analysis. Less than half the participants received COVID-19 vaccinations, whereas 56.3% did not. The full regression model explained 33.3% of the variance in COVID-19 vaccination status. Age older than 60 years, perception of feeling healthy, presence of chronic diseases, past flu shot experiences, and five health belief model factors were significant factors associated with COVID-19 vaccination behaviors. COVID-19 vaccination intention was the most closely related factor (odds ratio, 12.37; 95% confidence interval, 3.54-43.26; P < .001). Vaccinated participants were more likely than unvaccinated to perceive susceptibility to COVID-19 infection, benefits, self-efficacy, moral responsibility, and subjective norms regarding COVID-19 vaccination. Based on the results, vaccinated and unvaccinated individuals showed different attitudes toward COVID-19 infection and vaccination. This study suggests that COVID-19 vaccination intentions lead to actual vaccination behavior.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Qualitative research Topics: Vaccines Language: English Journal subject: Nursing / Medical Informatics Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Qualitative research Topics: Vaccines Language: English Journal subject: Nursing / Medical Informatics Year: 2023 Document Type: Article