Evidence map›Paper›PMID 39911790›Full record

ArticleFrontiers in public health2024

Factors affecting risk perception of COVID-19: differences by age and gender.

Sungwook Kang, Chang Hoon You, Young Dae Kwon

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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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.

Sungwook Kang *Department of Health Services Management, Daegu Haany University, Gyeongsan, Republic of Korea.
Chang Hoon You *Department of Healthcare Policy, Seoul Public Health Research Institute, Seoul Medical Center, Seoul, Republic of Korea.
Young Dae KwonDepartment of Humanities and Social Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Addressing emerging infectious diseases is a major task in public health. This study investigated the factors influencing the perception of risk related to COVID-19. Methods: This study analyzed data from the 2020 Social Survey conducted nationwide in South Korea, targeting 34,909 individuals aged 13 years and older. Using an ordered logit regression model, we examined the relationship between COVID-19 risk perception and its predictors across age groups (20-44 years, 45-64 years, 65 years and older) and gender groups. The predictors included in the analysis model were demographic factors, socioeconomic factors, health and quality of life factors, levels of social trust, and climate change factors. Results: The results demonstrated that COVID-19 risk perception was higher among older individuals and women compared with men. In the young population group (20-44 years), mental stress was related to COVID-19 risk perception, but this was not observed in other population groups. In the older adult population group (65 years and older), education level was related to COVID-19 risk perception, whereas this was not observed in the young population group. In the male group, economic variables such as income and employment status were related to COVID-19 risk perception, whereas in women, family-related variables such as marital status and housing type were related. In most subgroup analyses, lower income levels or lower life satisfaction were associated with higher COVID-19 risk perception. Discussion: The findings of this study suggest that health authorities need to tailor their responses to COVID-19 risk perception based on different populations and social groups. For the older adult population with a high-risk perception, it is necessary to provide reliable information to reduce anxiety caused by excessive risk perception. For the young population, proactive responses from health authorities regarding mental health are needed.

Indexed as

COVID-19AdolescentAdultAgedAge FactorsFemaleHumansMaleMiddle AgedQuality of LifeRepublic of KoreaSARS-CoV-2Sex FactorsSocioeconomic FactorsSurveys and QuestionnairesYoung Adultage differencesCOVID-19gender differencesKorearisk perception

Identifiers

PMID39911790
PMCPMC11794219

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.