Predicting COVID-19 booster intentions among college students using the health belief model: advancing health promotion strategies for uptake

利用健康信念模型预测大学生接种新冠加强针的意愿:推进健康促进策略以提高接种率

阅读:1

Abstract

BACKGROUND: COVID-19 remains a significant public health threat. The primary purpose of this study was to test the health belief model (HBM) constructs in predicting COVID-19 booster intentions of college students. METHODS: A total of 285 students enrolled at large public university in the Southeastern U.S., who were 18 years and older, completed an online survey to assess COVID-19 vaccination status, prior or current COVID-19 infection, demographics, and HBM constructs. RESULTS: Over three quarters of the sample (81.4%, n = 232) was fully vaccinated, 2.1% (n = 6) was partially vaccinated, and 16.5% (n = 47) was unvaccinated. Furthermore, 53.4% (n = 124) of students who self-reported being fully vaccinated also reported receiving the booster vaccine. Nearly half of the sample (49.1%, n = 140) self-reported previously or currently testing positive for COVID-19. Results of the stepwise multiple regression indicated the HBM constructs of perceived benefits (β =0.596; p < 0.001) and cues to action (β =0.275; p < 0.001) were significant predictors of respondents' behavioral intention to receive the COVID-19 booster in the next 6 months. The significant predictors at step 2 accounted for 64.6% [R (2) = 0.646, F (2, 111 = 101.331, p < 0.001)] of the variance in behavioral intention to get the COVID-19 booster in the next 6 months. CONCLUSION: Practitioners developing HBM-based interventions to enhance COVID-19 booster intentions among college students should tailor health promotion strategies that target perceived benefits and cues to action. Although some of the HBM constructs were not statistically significant in the prediction model, they should not be entirely discounted in health promotion practice. Instead, practitioners should focus on supplemental strategies to improve those domains in college students.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。