Evidence map›Paper›PMID 40108351›Full record

ArticleScientific reports2025

Factors affecting emerging infectious disease prevention behaviors among young workers based on ecological modeling.

Hyo Eun Park, Hye Young Song

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Hyo Eun ParkSchool of Health Science, Department of Nursing, Hanseo University, 46, Hanseo 1-ro, Haemi- Myun, Seosan-Si, Chungcheognam-do, 31962, Republic of Korea.
Hye Young SongDepartment of Nursing, Woosuk University, Samrye-eup, Wanju-Gun, Jeonbuk, 55338, Republic of Korea. lemonbam84@woosuk.ac.kr.ORCID http://orcid.org/0000-0002-7880-1348

Funding

the National Research Foundation of Korea NRF2022R1G1A1011173
6 · The paper itself

Abstract

This cross-sectional, descriptive survey study aimed to identify the factors affecting emerging infectious disease prevention behaviors among young workers aged < 40 years. The factors affecting infection prevention behaviors among young workers were investigated with respect to perception of personal, inter-personal, organizational, and community responses based on ecological modeling. A total of 260 young workers residing in Jeollabuk-do region in South Korea were selected via convenience sampling. Multiple regression analysis performed to assess the factors affecting emerging infectious disease prevention behaviors. Multiple regression analysis revealed that infection prevention behaviors were significantly higher among healthy female participants compared with that in not very healthy female participants. Furthermore, infection prevention behaviors were significantly lower among those residing with family members with a confirmed diagnosis compare with that in those who did not. The infection prevention behaviors were higher among participants with higher levels of perceived susceptibility and perceived self-efficacy showed higher infection prevention behaviors. Thus, health managers should actively promote the implementation of infection prevention behaviors in the workplace by developing executable infection prevention guidelines and programs to enhance the perceived susceptibility and self-efficacy of workers in preparation for outbreaks of emerging infectious diseases.

Indexed as

Communicable Diseases, EmergingHealth BehaviorAdolescentAdultCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleRepublic of KoreaSurveys and QuestionnairesYoung AdultEcological modelInfection prevention behaviorsWorkersYoung

Identifiers

PMID40108351
PMCPMC11923044

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.