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中国疫情两个阶段中的乐观偏差、严重程度判断及行为变化

Optimism bias, judgment of severity, and behavioral change during two stages of the pandemics in China.

作者信息

Lyu Dannuo, Jia Fanli, Gai Xiaosong

机构信息

School of Psychology, Northeast Normal University, Changchun, China.

Department of Psychology, Seton Hall University, South Orange, USA.

出版信息

Sci Rep. 2025 Jan 2;15(1):176. doi: 10.1038/s41598-024-84057-0.

Abstract

We investigated the factors and consequences of optimism bias during two critical periods of the COVID-19 outbreak in China. In February 2020, we conducted Study 1 (N = 4313) to examine the initial outbreak. The findings revealed that individuals exhibited optimism bias toward COVID-19. Additionally, the number of newly confirmed and suspected cases positively influenced optimism bias. Later, in December 2022, we conducted Study 2 (N = 1767) to explore the Omicron outbreak. The results indicated that optimism bias persisted, albeit to a lesser extent. In this study, the number of infections among participants' social relations negatively predicted optimism bias, while the judged severity of COVID-19 consequences positively predicted it. Notably, optimism bias can attenuate the positive prediction of anxiety by perceived severity, while also positively predicting protective behavior by mediating the relationship between perceived severity and protective actions. This study highlights the beneficial role of optimism bias, both physically and psychologically, during the COVID-19 pandemic.

摘要

我们在中国新冠疫情两个关键时期调查了乐观偏差的影响因素及后果。2020年2月,我们开展了研究1(N = 4313)以考察疫情初期情况。研究结果显示,个体对新冠病毒表现出乐观偏差。此外,新增确诊和疑似病例数对乐观偏差有正向影响。之后,在2022年12月,我们开展了研究2(N = 1767)以探究奥密克戎毒株引发的疫情。结果表明,乐观偏差依然存在,尽管程度有所减轻。在本研究中,参与者社交关系中的感染人数对乐观偏差有负向预测作用,而对新冠疫情后果的判断严重程度则对乐观偏差有正向预测作用。值得注意的是,乐观偏差能够减弱感知严重程度对焦虑的正向预测作用,同时还能通过调节感知严重程度与保护行为之间的关系对保护行为产生正向预测作用。本研究凸显了乐观偏差在新冠疫情期间对身心健康的有益作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5778/11695625/d211cabd4fa0/41598_2024_84057_Fig1_HTML.jpg

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