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度过新冠疫情下的寒冬:身体寒冷会增加对冠状病毒病的感知风险。

Getting through a COVID-19 winter: Physical coldness increases the perceived risk of coronavirus disease.

作者信息

Li Heng

机构信息

Sichuan International Studies University, China.

出版信息

Pers Individ Dif. 2023 Jan;200:111799. doi: 10.1016/j.paid.2022.111799. Epub 2022 Jun 30.

DOI:10.1016/j.paid.2022.111799
PMID:35789922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9242932/
Abstract

What factors influence how people perceive the risk of getting COVID-19? Extending beyond features of general health conditions, media coverage, and genetic susceptibility to disease, the present research investigates whether the immediacy of experience with temperature, a subtle yet pervasive environmental factor, can affect people's estimation of contagion probability. According to the attribute substitution model, people may rely on the visceral experience of coldness, a far easier quantity to evaluate, to estimate the contagion probability of the new coronavirus disease. Study 1 found that Chinese university students who perceived the indoor temperature to be lower believed that the coronavirus was more infectious. To provide causal evidence for the effect, Study 2 randomly assigned participants to different conditions. The results showed that participants in the cold condition reported a higher likelihood of contracting the coronavirus than participants in the control condition. Overall, these findings are consistent with the attribute substitution model: people tend to recruit simpler and more accessible information (e.g., local temperature) in place of more diagnostic but less tangible information (e.g., scientific data) in assessing the risk of disease transmission. Theoretical contributions and the significance of this research for policy makers are discussed.

摘要

哪些因素会影响人们对感染新冠病毒风险的认知?本研究超越了一般健康状况、媒体报道和疾病遗传易感性等特征,探讨温度这一微妙却普遍存在的环境因素的直接体验是否会影响人们对传染概率的估计。根据属性替代模型,人们可能会依赖寒冷的内在体验(一种更容易评估的量)来估计新冠病毒疾病的传染概率。研究1发现,感觉室内温度较低的中国大学生认为新冠病毒的传染性更强。为了为这种效应提供因果证据,研究2将参与者随机分配到不同条件下。结果显示,处于寒冷条件下的参与者报告感染新冠病毒的可能性高于处于对照条件下的参与者。总体而言,这些发现与属性替代模型一致:人们在评估疾病传播风险时,倾向于采用更简单、更易获取的信息(如当地温度)来替代更具诊断性但较难捉摸的信息(如科学数据)。本文还讨论了该研究的理论贡献以及对政策制定者的意义。

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