Evidence map›Paper›PMID 35358264›Full record

ArticlePloS one2022

Social-ecological factors related to preventive behaviors during the COVID-19 pandemic in South Korea.

Sou Hyun Jang

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

17 citing papers in PubMed.

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  13. Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 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

1 author.

Sou Hyun JangDepartment of Sociology, Korea University, Seongbuk-gu, Seoul, South Korea.ORCID 0000-0003-2265-4753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most studies on COVID-19 preventive behaviors have focused on single-level factors such as national policy, community social capital, or individuals' sociodemographic characteristics. Through a social-ecological model, this study attempts to comprehensively examine the multilevel factors associated with COVID-19 preventive practices in South Korea. Accordingly, a web survey involving 1,500 participants was conducted in December 2020. An ordinary least squares (OLS) regression was used to examine the multilevel factors (individual, interpersonal, community, and policy levels) related to COVID-19 preventive measures, which are based on wearing a mask, washing hands, covering the mouth when coughing or sneezing, and social distancing. When factors at each level were investigated, higher scores of COVID-19 fear and correct knowledge at the individual level, COVID-19 information share at the interpersonal level, and better evaluation of the national government policies in regard to COVID-19 at the policy level were positively associated with COVID-19 preventive behaviors. Community-level factors-neighborhood perception and community participation-were negatively significantly related to COVID-19 preventive behaviors. Additionally, older age, being female, and having a graduate-level education were positively related to better preventive behaviors. The findings of the current study suggest that multilevel efforts are needed to promote preventive behaviors. Specifically, more effort to alleviate COVID-19-related fear and disseminate correct knowledge among Korean citizens is needed as the individual-level characteristics explained the preventive behaviors more than the factors at upper levels.

Indexed as

COVID-19Cross-Sectional StudiesFemaleHumansPandemicsRepublic of KoreaSARS-CoV-2Surveys and Questionnaires

Identifiers

PMID35358264
PMCPMC8970480

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.