Evidence map›Paper›PMID 33072524›Full record

ArticleInternet interventions2020

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

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

Open access · goldAbstract read
In one paragraph

Article in Internet interventions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
21.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 73 citations in OpenAlex.

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  5. Managing the unexpected: Bicultural identity integration during the COVID-19 emergency.International journal of intercultural relations : IJIR · 2023
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  10. Regulation strategies during COVID-19 quarantine: The mediating effect of worry on the links between coping strategies and anxiety.European review of applied psychology = Revue europeenne de psychologie appliquee · 2022
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  13. Disparities in COVID-19 Information Sources and Knowledge in South Korea.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Hsing-Ying HoDepartment of Healthcare Administration, Asia University, Taichung, Taiwan.
Yi-Lung ChenDepartment of Healthcare Administration, Asia University, Taichung, Taiwan.
Cheng-Fang YenDepartment of Psychiatry, Kaohsiung Medical University Hospital & School of Medicine and Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Asia University · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsA 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.

resultsThe 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).

conclusionsAcademic 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.

Indexed as

COVID-19Information sourceKnowledgePublic worry

Identifiers

PMID33072524
PMCPMC7550055
OpenAlexW3091821285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.