Adachi Megumi, Murakami Michio, Yoneoka Daisuke, Kawashima Takayuki, Hashizume Masahiro, Sakamoto Haruka, Eguchi Akifumi, Ghaznavi Cyrus, Gilmour Stuart, Kaneko Satoshi, Kunishima Hiroyuki, Maruyama-Sakurai Keiko, Tanoue Yuta, Yamamoto Yoshiko, Miyata Hiroaki, Nomura Shuhei
Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
SSM Popul Health. 2022 Jun;18:101105. doi: 10.1016/j.ssmph.2022.101105. Epub 2022 Apr 26.
Understanding COVID-19 risk perception may help inform public health messaging aimed at encouraging preventive measures and improving countermeasures against the pandemic. We conducted an online survey of 29,708 Japanese adults in February 2021 and estimated the associations between COVID-19 risk perception and a broad array of individual factors. Two logistic regressions were constructed to estimate factors associated with the risk perception of COVID-19 (defined as responding that one might become infected within the next 6 months), and of severe illness among those who responded that they might become infected (defined as responding that one would become severely ill). After adjusting for covariates, those with a higher perceived risk of the COVID-19 vaccine had higher odds of risk perception for both infection and severe illness. Interestingly, those with higher odds of risk perception of being infected were more likely to report obtaining their information from healthcare workers whereas those with lower odds were more likely to report obtaining their information from the Internet or the government; those with lower odds of risk perception of being severely ill were more likely to report obtaining their information from the Internet. The higher the trust level in the government as a COVID-19 information source, the lower the odds of both risk perception of being infected and becoming severely ill. The higher the trust levels in social networking services as a COVID-19 information source, the higher the odds of risk perception of becoming severely ill. Public health messaging should address the factors identified in our study.
了解对新冠病毒的风险认知可能有助于为旨在鼓励采取预防措施和改进针对该大流行病的应对措施的公共卫生信息提供依据。2021年2月，我们对29708名日本成年人进行了一项在线调查，并估计了新冠病毒风险认知与一系列个人因素之间的关联。构建了两个逻辑回归模型，以估计与新冠病毒风险认知（定义为回答自己可能在未来6个月内感染）以及那些回答自己可能感染的人患重症的风险认知（定义为回答自己会患重症）相关的因素。在对协变量进行调整后，那些认为新冠疫苗风险较高的人对感染和重症的风险认知几率更高。有趣的是，那些感染风险认知几率较高的人更有可能报告从医护人员那里获取信息，而那些几率较低的人更有可能报告从互联网或政府那里获取信息；那些重症风险认知几率较低的人更有可能报告从互联网获取信息。作为新冠病毒信息来源，对政府的信任程度越高，感染风险认知和患重症风险认知的几率就越低。作为新冠病毒信息来源所感知到的社交网络服务的信任程度越高，患重症风险认知的几率就越高。公共卫生信息应涉及我们研究中确定的因素。
