俄亥俄州西北部大学生新冠肺炎疫苗犹豫和耐药性的影响因素

M. Polavarapu, Shipra Singh, Philip J. Welch, L. Maziarz, Beanna A. Martinez, Edoseawe Okoduwa, T. Jordan
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摘要

背景:接种疫苗是控制新冠肺炎传播和恢复大学校园正常的关键策略;然而,疫苗的犹豫和耐药性仍然是一个重要障碍。本研究利用综合行为模型(IBM)和预防措施采用过程模型(PAPM)来确定大学生新冠肺炎疫苗接种意愿(接受、犹豫和抵抗)的预测因素。方法:2021年对俄亥俄州西北部两所大学的1248名学生进行了在线调查。在控制了新冠肺炎相关因素和社会人口统计学因素后,使用Stata/SE第17版(StataCorp)软件进行逐步逻辑回归,以研究理论构建与疫苗接种意愿的关联。结果:大多数学生(82.5%)接受疫苗,6.9%对疫苗犹豫不决,10.6%对疫苗有耐药性。18至22岁的学生(9.3%)、本科生(16.5%)和黑人(13%)或中东人(14.3%)对疫苗的犹豫更高。IBM的积极态度、高自我效能和高显著性结构显著预测了疫苗犹豫的降低。在过去3年中没有接种流感疫苗,并将接种疫苗视为个人选择,这与更高的疫苗犹豫度显著相关。较高的主观标准预测疫苗耐药性的几率较低。描述性规范、在过去3年内没有接种流感疫苗、同意阴谋以及将接种疫苗视为个人选择,都能有力地预测更高的疫苗耐药性。结论:确定预测大学生疫苗犹豫和耐药性的因素,对于大学管理人员和那些正在设计健康宣传活动的人来说,增加这一优先人群的疫苗接种至关重要。
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Factors Impacting COVID-19 Vaccine Hesitancy and Resistance Among College Students in Northwest Ohio
Background: Vaccination is a critical strategy for controlling the transmission of COVID-19 and for returning to normalcy on college campuses; however, vaccine hesitancy and resistance persist as a significant barrier. This study utilized the integrated behavior model (IBM) and the precaution adoption process model (PAPM) to identify factors predictive of COVID-19 vaccine willingness (receptive, hesitant, and resistant) among college students. Methods: A sample of 1248 students at 2 universities in northwest Ohio were surveyed online in 2021. Stata/SE, version 17 (StataCorp) software was used to conduct stepwise logistic regression to investigate the association of theoretical constructs with vaccine willingness, after controlling for COVID-19 related factors and sociodemographic factors. Results: Most students (82.5%) were vaccine receptive, 6.9% were vaccine hesitant, and 10.6% were vaccine resistant. Vaccine hesitancy was higher among students aged 18 to 22 years (9.3%), undergraduates (16.5%), and students who identified as Black (13%) or Middle Eastern (14.3%). Lower vaccine hesitance was significantly predicted by IBM constructs of positive attitudes, high self-efficacy, and high salience. Not getting an influenza vaccine in the past 3 years and viewing vaccination as a personal choice were significantly associated with higher vaccine hesitancy. Lower odds of vaccine resistance were predicted by higher subjective norms. Descriptive norms, not getting an influenza vaccine in the past 3 years, agreeing with conspiracies, and viewing vaccination as a personal choice were strongly predictive of higher vaccine resistance. Conclusion: Identifying the factors that predict vaccine hesitancy and resistance among college students is critical for college administrators, and for those who are designing health communication campaigns, to increase vaccination among this priority population.
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