Li Zeming, Sun Xinying
Department of Social Medicine, School of Public Health, Guangxi Medical University, Guangxi, Nanning, 530021, China.
Department of Social Medicine and Health Education, School of Public Health, Peking University, NO. 38 College Road Haidian District, Beijing, China.
BMC Public Health. 2025 Aug 21;25(1):2865. doi: 10.1186/s12889-025-23843-5.
The COVID-19 vaccination is a key strategy to control the pandemic; however, complex factors, including health awareness and social cognition, influence public intention to vaccinate. The Health Belief Model (HBM) provides a theoretical framework for understanding vaccination behavior, but how Vaccination awareness (VA) dynamically moderates the relationship between HBM domains and vaccination intentions remains unclear. This study aims to compare the characteristics of different VA classifications and explore the key factors influencing their future COVID-19 vaccination intentions based on the HBM.
Using three-wave longitudinal cohort data from 500 adults in mainland China, participants were divided into four groups based on VA states: persistent awareness (Group 1), early-only awareness (Group 2), late-emerging awareness (Group 3), and persistently unaware (Group 4). ANOVA, chi-square tests, and binary logistic regression were used to analyze the relationships between HBM constructs, social cues, and vaccination intentions.
Group 1 (31.40%) had the highest education level, the COVID-19 vaccination rate (48.35%), and future vaccination intention (36.98%), with significantly higher HBM scores (perceived severity, self-efficacy, benefits) than other groups (all p < 0.001). Group 4 (27.00%) had the highest proportion of unvaccinated individuals (40.31%) and the highest perceived barriers score (M = 2.39 ± 0.73). Logistic regression showed that Group 1's future COVID-19 vaccination intention was driven by medical expert advice (OR = 3.08, 95% CI: 1.47-6.45) and self-efficacy (OR = 3.68, 95% CI: 1.53-8.87), while Group 4 relied on government advice (OR = 1.56, 95% CI: 1.02-2.40), perceived severity (OR = 1.97, 95% CI: 1.12-3.46), and self-efficacy (OR = 3.68, 95% CI: 1.77-5.84). Trust in social media significantly reduced Group 3's vaccination intention (OR = 0.08, 95% CI: 0.02-0.35).
Vaccination awareness states influence vaccination decisions by moderating HBM domains and social cues. Targeted interventions should address group-specific differences, such as enhancing self-efficacy (for Group 1, Group 2, and Group 4), correcting social media misinformation ( for Group 3), and strengthening government communication (for Group 4).
新冠疫苗接种是控制疫情的关键策略;然而,包括健康意识和社会认知在内的复杂因素会影响公众的接种意愿。健康信念模型(HBM)为理解疫苗接种行为提供了一个理论框架,但疫苗接种意识(VA)如何动态调节HBM各领域与疫苗接种意愿之间的关系仍不清楚。本研究旨在比较不同VA分类的特征,并基于HBM探索影响其未来新冠疫苗接种意愿的关键因素。
利用来自中国大陆500名成年人的三波纵向队列数据,根据VA状态将参与者分为四组:持续知晓组(第1组)、仅早期知晓组(第2组)、后期出现知晓组(第3组)和持续不知晓组(第4组)。采用方差分析、卡方检验和二元逻辑回归分析HBM结构、社会线索与疫苗接种意愿之间的关系。
第1组(31.40%)的教育水平最高,新冠疫苗接种率(48.35%)和未来接种意愿(36.98%)最高,其HBM得分(感知严重性、自我效能感、益处)显著高于其他组(所有p<0.001)。第4组(27.00%)未接种疫苗的个体比例最高(40.31%),感知障碍得分最高(M=2.39±0.73)。逻辑回归显示,第1组未来的新冠疫苗接种意愿受医学专家建议(OR=3.08,95%CI:1.47-6.45)和自我效能感(OR=3.68,95%CI:1.53-8.87)驱动,而第4组则依赖政府建议(OR=1.56,95%CI:1.02-2.40)、感知严重性(OR=1.97,95%CI:1.12-3.46)和自我效能感(OR=3.68,95%CI:1.77-5.84)。对社交媒体的信任显著降低了第3组的接种意愿(OR=0.08,95%CI:0.02-0.35)。
疫苗接种意识状态通过调节HBM各领域和社会线索来影响疫苗接种决策。针对性干预应解决群体特定差异,如增强自我效能感(针对第1组、第2组和第4组)、纠正社交媒体错误信息(针对第3组)以及加强政府沟通(针对第4组)。