University of Novi Sad, Faculty of Philosophy, Department of Psychology, Novi Sad, Serbia.
University of Belgrade, Faculty of Medicine, Institute of Social Medicine, Belgrade, Serbia.
Public Health. 2022 Apr;205:37-42. doi: 10.1016/j.puhe.2022.01.015. Epub 2022 Jan 24.
Previous research has shown that the COVID-19 Stress Scale (CSS), a measure assessing various dimensions of distress related to the COVID-19 pandemic, is associated with self-protective behaviours; however, it remains unknown whether this distress can be used to predict attitudes towards vaccination. The purpose of this study was to validate the Serbian CSS (Serbian-CSS) and to explore its predictive power over and above certain sociodemographic characteristics, individual difference variables (attitudes and personality) and general distress in relation to COVID-19 vaccine acceptance.
An online cross-sectional study was conducted that targeted users of different social network groups at the beginning of the public COVID-19 vaccination programme in Serbia.
A large, online study sample (N = 3129) provided self-reported data on COVID-19-related distress, health and sociodemographic indicators, individual difference variables and attitudes towards vaccination.
The Serbian-CSS is a valid and reliable instrument that assesses six dimensions of COVID-19 distress. The strongest predictors of vaccine acceptance were attitudes towards immigrants (adjusted odds ratio [AOR] = 0.36, 95% confidence interval [CI] 0.31, 0.41), followed by education (AOR = 1.51, 95% CI 1.27, 1.88) and prepandemic mental health issues (AOR = 1.61, 95% CI 1.30, 2.01).
The level of distress measured by the CSS had a non-substantial contribution to vaccine acceptance, which is probably because of the mild level of distress that was observed at the time of assessment. Public health messaging that relies on the distribution of information is not sufficient to address strongly held beliefs against vaccination. The study provides a benchmark for future cross-cultural research regarding negative affective states associated with the COVID-19 pandemic.
先前的研究表明,评估与 COVID-19 大流行相关的各种痛苦维度的 COVID-19 应激量表(CSS)与自我保护行为相关;然而,尚不清楚这种痛苦是否可以用于预测对疫苗接种的态度。本研究的目的是验证塞尔维亚语 CSS(塞尔维亚语-CSS),并探讨其在超出某些社会人口特征、个体差异变量(态度和个性)和与 COVID-19 疫苗接种相关的一般困扰之外对疫苗接种接受度的预测能力。
这是一项在塞尔维亚开始公共 COVID-19 疫苗接种计划时针对不同社交网络群体用户的在线横断面研究。
一项大型在线研究样本(N=3129)提供了与 COVID-19 相关的困扰、健康和社会人口统计学指标、个体差异变量以及对疫苗接种的态度的自我报告数据。
塞尔维亚语-CSS 是一种有效的、可靠的评估 COVID-19 困扰六个维度的工具。疫苗接种接受度的最强预测因素是对移民的态度(调整后的优势比 [AOR] = 0.36,95%置信区间 [CI] 0.31,0.41),其次是教育(AOR = 1.51,95% CI 1.27,1.88)和大流行前心理健康问题(AOR = 1.61,95% CI 1.30,2.01)。
CSS 测量的困扰程度对疫苗接种接受度的贡献不大,这可能是因为评估时观察到的困扰程度较轻。仅仅依靠信息传播的公共卫生信息传递不足以解决强烈反对疫苗接种的信念。该研究为未来与 COVID-19 大流行相关的负面情感状态的跨文化研究提供了基准。