Suppr超能文献

新冠疫情相关信息源对公众担忧的不同影响:一项通过社交媒体进行的在线调查

Different impacts of COVID-19-related information sources on public worry: An online survey through social media.

作者信息

Ho Hsing-Ying, Chen Yi-Lung, Yen Cheng-Fang

机构信息

Department of Healthcare Administration, Asia University, Taichung, Taiwan.

Department of Psychology, Asia University, Taichung, Taiwan.

出版信息

Internet Interv. 2020 Dec;22:100350. doi: 10.1016/j.invent.2020.100350. Epub 2020 Oct 12.

Abstract

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic spread rapidly, as did COVID-19-related information on diverse media platforms. Excessive COVID-19-related information caused substantial mental distress among the public. Although most studies focused on the impact of information on individuals during the pandemic, they usually focused on information from internet sources, and few studies compared the impacts between different information sources. We examine the sociodemographic profiles of participants receiving different information sources and the impact of various COVID-19-related information sources on public worry.

METHODS

A cross-sectional online survey with a total of 2007 participants aged 20 years and above recruited anonymously was conducted during the COVID-19 pandemic. The sociodemographic data, frequencies at which participants received COVID-19-related information, the information sources (e.g., traditional media, interpersonal information exchange, and academic courses), and the levels of past, current, and anticipated worry about COVID-19 were assessed.

RESULTS

The most common sources of COVID-19-related information were internet media (80.52%), traditional media (52.62%), family members (24.36%), coworkers (23.57%), friends (21.08%), academic courses (20.18%), and medical staff (19.03%). We found that the COVID-19-related information from traditional media, internet media, and friends was associated with higher current worry (the unstandardized regression coefficient, B, ranged from 0.27 to 0.30), and the information from friends was associated with higher past worry (B was 0.18). In contrast, participants who received information from academic courses had lower past worry and anticipated worry (B ranged from -0.15 to -0.17).

CONCLUSIONS

Academic courses may play a protective role in public worry during the pandemic. Therefore, academic courses and the information they provide may help facilitate public education and reduce public worry in cases of infectious disease outbreaks.

摘要

背景

2019年冠状病毒病(COVID-19)大流行迅速蔓延,COVID-19相关信息在各种媒体平台上也是如此。过多的COVID-19相关信息给公众造成了严重的精神困扰。尽管大多数研究关注大流行期间信息对个人的影响,但通常关注来自互联网来源的信息,很少有研究比较不同信息来源之间的影响。我们研究了接收不同信息来源的参与者的社会人口学特征,以及各种COVID-19相关信息来源对公众担忧的影响。

方法

在COVID-19大流行期间进行了一项横断面在线调查,共招募了2007名年龄在20岁及以上的参与者,调查采用匿名方式。评估了社会人口学数据、参与者接收COVID-19相关信息的频率、信息来源(如传统媒体、人际信息交流和学术课程)以及过去、当前和预期对COVID-19的担忧程度。

结果

COVID-19相关信息最常见的来源是互联网媒体(80.52%)、传统媒体(52.62%)、家庭成员(24.36%)、同事(23.57%)、朋友(21.08%)、学术课程(20.18%)和医务人员(19.03%)。我们发现,来自传统媒体、互联网媒体和朋友的COVID-19相关信息与更高的当前担忧相关(未标准化回归系数B在0.27至0.30之间),来自朋友的信息与更高的过去担忧相关(B为0.18)。相比之下,从学术课程中获取信息的参与者过去的担忧和预期的担忧较低(B在-0.15至-0.17之间)。

结论

学术课程在大流行期间可能对公众担忧起到保护作用。因此,学术课程及其提供的信息可能有助于促进公众教育,并在传染病爆发时减少公众担忧。

相似文献

1
Different impacts of COVID-19-related information sources on public worry: An online survey through social media.
Internet Interv. 2020 Dec;22:100350. doi: 10.1016/j.invent.2020.100350. Epub 2020 Oct 12.
4
Frequency and source of worries in an International sample of pregnant and postpartum women during the Covid-19 pandemic.
BMC Pregnancy Childbirth. 2021 Nov 12;21(1):768. doi: 10.1186/s12884-021-04241-2.
7
Infodemic vs. Pandemic Factors Associated to Public Anxiety in the Early Stage of the COVID-19 Outbreak: A Cross-Sectional Study in China.
Front Public Health. 2021 Aug 30;9:723648. doi: 10.3389/fpubh.2021.723648. eCollection 2021.
9
Obtaining Information From Different Sources Matters During the COVID-19 Pandemic.
Gerontologist. 2021 Feb 23;61(2):187-195. doi: 10.1093/geront/gnaa222.
10
Factors influencing COVID-19 knowledge-gap: a cross-sectional study in China.
BMC Public Health. 2021 Oct 9;21(1):1826. doi: 10.1186/s12889-021-11856-9.

引用本文的文献

2
Knowledge, Attitudes, and Practices of Adult Residents of Riyadh Regarding Sunstrokes.
Cureus. 2024 Dec 8;16(12):e75306. doi: 10.7759/cureus.75306. eCollection 2024 Dec.
3
Narratives about distributed health literacy during the COVID-19 pandemic.
Health (London). 2025 Jan;29(1):100-117. doi: 10.1177/13634593231215715. Epub 2023 Dec 14.
5
Student interest, concerns, and information-seeking behaviors related to COVID-19.
Discip Interdscip Sci Educ Res. 2022;4(1):11. doi: 10.1186/s43031-022-00053-2. Epub 2022 Apr 4.
6
A study of COVID-19 vaccination in the US and Asia: The role of media, personal experiences, and risk perceptions.
PLOS Glob Public Health. 2022 Jul 13;2(7):e0000734. doi: 10.1371/journal.pgph.0000734. eCollection 2022.
7
Managing the unexpected: Bicultural identity integration during the COVID-19 emergency.
Int J Intercult Relat. 2023 Mar;93:101781. doi: 10.1016/j.ijintrel.2023.101781. Epub 2023 Feb 22.
9
Risk perception of COVID-19 among college students in China: Latent profile analysis.
Front Public Health. 2022 Nov 4;10:1041580. doi: 10.3389/fpubh.2022.1041580. eCollection 2022.

本文引用的文献

1
Confidence in coping with COVID-19 and its related factors among the public in Taiwan.
Psychiatry Clin Neurosci. 2020 Nov;74(11):608-610. doi: 10.1111/pcn.13128. Epub 2020 Sep 2.
3
The more exposure to media information about COVID-19, the more distressed you will feel.
Brain Behav Immun. 2020 Jul;87:167-169. doi: 10.1016/j.bbi.2020.05.031. Epub 2020 May 12.
4
YouTube as a source of information on COVID-19: a pandemic of misinformation?
BMJ Glob Health. 2020 May;5(5). doi: 10.1136/bmjgh-2020-002604.
5
YouTube as a source of medical information on the novel coronavirus 2019 disease (COVID-19) pandemic.
Glob Public Health. 2020 Jul;15(7):935-942. doi: 10.1080/17441692.2020.1761426. Epub 2020 May 12.
6
COVID-19-related information sources and psychological well-being: An online survey study in Taiwan.
Brain Behav Immun. 2020 Jul;87:153-154. doi: 10.1016/j.bbi.2020.05.019. Epub 2020 May 7.
7
Public Health Communication in Time of Crisis: Readability of On-Line COVID-19 Information.
Disaster Med Public Health Prep. 2020 Oct;14(5):635-637. doi: 10.1017/dmp.2020.151. Epub 2020 May 11.
10
Google Trends provides a tool to monitor population concerns and information needs during COVID-19 pandemic.
Brain Behav Immun. 2020 Jul;87:109-110. doi: 10.1016/j.bbi.2020.04.073. Epub 2020 Apr 29.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验