Author:
Wang Zuxing,Chen Lili,Xiao Jun,Jiang Fugui,Min Wenjiao,Liu Shuyun,Wang Yunqiong,Qi Mengsha
Abstract
Abstract
Background
The World Health Organization (WHO) proposed COVID-19 vaccination as an emergent and important method to end the COVID-19 pandemic. Since China started vaccination programs in December 2020, vaccination has spread to provinces and municipalities nationwide. Previous research has focused on people's vaccination willingness and its influencing factors but has not examined vaccination behavior. We examine the effectiveness of psychosocial factors in predicting vaccination behavior.
Methods
A cross-sectional online survey was performed among Chinese adults on 8 May and 4 June 2021. The statistical analysis of the data included univariate analysis, receiver operator characteristics (ROC) analysis and ordinal multiclassification logistic regression model analysis.
Results
Of the 1300 respondents, 761 (58.5%) were vaccinated. Univariate analysis showed that a high education level and good subjective health status were protective factors for vaccination behavior, while suffering from chronic diseases was a risk factor. ROC analysis showed that subjective health status (AUC = 0.625, 95% CI: 0.594–0.656, P < 0.001) was the best predictor of vaccination behavior. Logistic regression analysis with subjective health status as a dependent variable indicated that older age, female sex, depression, neurasthenia, obsession, hypochondriasis and chronic disease were significant risk factors, while positive coping tendencies were a significant protective factor.
Conclusion
Our study found a simple and effective marker, subjective health status, that can predict vaccination behavior. This finding can guide future epidemic prevention work.
Funder
Establishment, evaluation system construction and promotion of group model of psychosomatic nursing happiness perception training in general hospital
the Innovation and Entrepreneurship Project of Sichuan Provincial Science and Technology department
Publisher
Springer Science and Business Media LLC
Subject
Psychiatry and Mental health
Cited by
5 articles.
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