Cheng Li Nan, Kong Jianhui, Xie Xiao Feng, Zhang Feng Ying
School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Law School of Southwest Minzu University, Chengdu, Sichuan, China.
BMJ Open. 2024 Dec 11;14(12):e088245. doi: 10.1136/bmjopen-2024-088245.
Vaccine hesitancy persists as a significant global health concern, especially during public health crises. This study aimed to explore factors influencing vaccination acceptance during a major public health crisis and establish a model of influencing factors.
A cross-sectional study.
An anonymous cross-sectional survey was conducted online, encompassing sociodemographic characteristics, anxiety levels, personal risk perception and attitudes towards vaccination acceptance. Data analysis was performed using t-tests, one-way analysis of variance and multiple linear regression techniques in IBM SPSS Statistics V.25.0 (IBM Corp., Armonk, NY, USA).
A total of 3921 participants participated in the survey. The mean acceptance attitudes were above the moderate level (M=4.02, SD=0.51), the mean risk perception score was below the moderate level (M=2.66, SD=0.58), and the mean score on the Self-Rating Anxiety Scale was also below the moderate level (M=2.05, SD=0.53). The results showed that internal variables (gender, age, marital status, professional background, region) and external variables (average family income, distance from home to vaccination site, family medical background) were statistically significant (p<0.05). Gender, region, distance from home to the vaccination site, anxiety, family medical background, risk coping, emotional perception and psychological representation of unusual severity were identified as significant predictors of vaccination acceptance attitudes, with the model explaining 35% of the variance (R²= 0.35, adjusted R²= 0.33). Based on these results, we constructed a theoretical model of influencing factors for vaccine acceptance attitudes.
Despite increased acceptance of vaccination during major public health events, factors that both support and hinder acceptance remain. Identifying these factors allows for effective disease control and informs the development of public health strategies and crisis response measures.
疫苗犹豫仍然是一个重大的全球健康问题,尤其是在公共卫生危机期间。本研究旨在探讨在重大公共卫生危机期间影响疫苗接种接受度的因素,并建立一个影响因素模型。
横断面研究。
在线进行了一项匿名横断面调查,涵盖社会人口统计学特征、焦虑水平、个人风险认知以及对疫苗接种接受度的态度。使用IBM SPSS Statistics V.25.0(美国纽约州阿蒙克市IBM公司)中的t检验、单因素方差分析和多元线性回归技术进行数据分析。
共有3921名参与者参与了调查。平均接受态度高于中等水平(M = 4.02,标准差 = 0.51),平均风险认知得分低于中等水平(M = 2.66,标准差 = 0.58),自评焦虑量表的平均得分也低于中等水平(M = 2.05,标准差 = 0.53)。结果表明,内部变量(性别、年龄、婚姻状况、职业背景、地区)和外部变量(家庭平均收入、家到疫苗接种点的距离、家庭医疗背景)具有统计学意义(p < 0.05)。性别、地区、家到疫苗接种点的距离、焦虑、家庭医疗背景、风险应对、情绪感知以及对异常严重性的心理表征被确定为疫苗接种接受态度的显著预测因素,该模型解释了35%的方差(R² = 0.35,调整后R² = 0.33)。基于这些结果,我们构建了疫苗接受态度影响因素的理论模型。
尽管在重大公共卫生事件期间疫苗接种的接受度有所提高,但支持和阻碍接受的因素仍然存在。识别这些因素有助于有效地控制疾病,并为公共卫生策略和危机应对措施的制定提供参考。