Zhang Xiaoying, Luan Yiming, Tang Yihan, Lau Mason M C, Yu Yanqiu, Gu Jing, Lau Joseph T F
College of Public Health, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
Meilong Community Health Center of Minhang District, Shanghai, 201100, China.
BMC Public Health. 2025 Feb 18;25(1):659. doi: 10.1186/s12889-025-21899-x.
It is imperative to promote behavior/intention of taking up booster COVID-19 vaccination (BI-BV) among people who have ever contracted COVID-19 (PECC). The aims were to investigate the prevalence of BI-BV and its associations with perceived social support. Guided by the stress coping theory, we tested mediators between perceived social support and BI-BV via self-stigma, active coping, and maladaptive emotion regulation (rumination and catastrophizing).
A random population-based telephone survey was conducted among adult PECC having completed the primary series of COVID-19 vaccination prior to the diagnosis; 230 participants were interviewed from June to August 2022 during the fifth (last) major outbreak in Hong Kong. The associations between the independent variables and BI-BV were tested by logistic regression analysis. A structural equation model (SEM) tested the indirect effects of the latent variables of self-stigma, active coping, and maladaptive emotion regulation between the latent variable of perceived social support and BI-BV.
The prevalence of BI-BV was 62.2%. It was associated with age, marital status, full-time employment, and chronic disease status. The logistic regression analysis found that BI-BV was positively associated with perceived social support (ORc = 1.31, 95% CI: 1.12- 1.54), active coping (ORc = 1.40, 95% CI: 1.10- 1.79), rumination (ORc = 1.75, 95% CI: 1.13- 2.70), and catastrophizing (ORc = 3.12, 95% CI: 1.49- 6.51) and negatively associated with self-stigma (ORc = 0.80, 95% CI: 0.72- 0.88). In the SEM analysis, the positive association between perceived social support and BI-BV was fully mediated: 1) via self-stigma (β = 0.07, 95% CI: 0.03- 0.14), 2) via active coping (β = 0.06, 95% CI: 0.02- 0.12), and 3) via self-stigma and then active coping (β = 0.01, 95% CI: 0.002- 0.04). Two of these indirect paths involved active coping. The indirect paths involving maladaptive emotion regulation were all non-significant.
Perceived social support was associated with BI-BV, and was mediated via self-stigma, active coping, and serially self-stigma then active coping but not emotion maladaptation. The data supported the stress cognitive coping model in explaining the association between perceived social support and BI-BV. Interventions promoting BI-BV may consider modifying the observed significant factors. Future longitudinal studies are warranted to confirm the findings.
在曾感染过新冠病毒的人群(PECC)中促进新冠病毒加强疫苗接种行为/意愿(BI-BV)势在必行。本研究旨在调查BI-BV的流行率及其与感知社会支持的关联。在压力应对理论的指导下,我们通过自我污名化、积极应对和适应不良情绪调节(沉思和灾难化)来测试感知社会支持与BI-BV之间的中介变量。
对在诊断前已完成新冠病毒初级疫苗接种系列的成年PECC进行基于人群的随机电话调查;在2022年6月至8月香港第五次(也是最后一次)重大疫情期间,对230名参与者进行了访谈。通过逻辑回归分析测试自变量与BI-BV之间的关联。结构方程模型(SEM)测试了自我污名化、积极应对和适应不良情绪调节这些潜在变量在感知社会支持潜在变量与BI-BV之间的间接效应。
BI-BV的流行率为62.2%。它与年龄、婚姻状况、全职工作和慢性病状况有关。逻辑回归分析发现,BI-BV与感知社会支持(ORc = 1.31,95% CI:1.12 - 1.54)、积极应对(ORc = 1.40,95% CI:1.10 - 1.79)、沉思(ORc = 1.75,95% CI:1.13 - 2.70)和灾难化(ORc = 3.12,95% CI:1.49 - 6.51)呈正相关,与自我污名化呈负相关(ORc = 0.80,95% CI:0.72 - 0.88)。在SEM分析中,感知社会支持与BI-BV之间的正相关完全通过以下方式中介:1)通过自我污名化(β = 0.07,95% CI:0.03 - 0.14),2)通过积极应对(β = 0.06,95% CI:0.02 - 0.12),3)通过自我污名化然后积极应对(β = 0.01,95% CI:0.002 - 0.04)。其中两条间接路径涉及积极应对。涉及适应不良情绪调节的间接路径均不显著。
感知社会支持与BI-BV相关,并通过自我污名化、积极应对以及先自我污名化后积极应对来介导,但不是通过情绪适应不良。数据支持压力认知应对模型来解释感知社会支持与BI-BV之间的关联。促进BI-BV的干预措施可考虑改变观察到的显著因素。未来有必要进行纵向研究以证实这些发现。