Evidence map›Paper›PMID 42522026›Full record

ArticleBMC nursing2026

Climate change-related behaviors among hospital nurses in South Korea: a latent profile analysis.

Dukhyun Back, Kihye Han, Hyang Baek

Abstract read
In one paragraph

Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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.

Dukhyun BackDepartment of Nursing, Graduate School, Chung-Ang University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0002-8116-9934
Kihye HanDepartment of Nursing, College of Nursing, Chung-Ang University, 84 Heukseok-Ro, Bldg 102 Rm 526 Dongjak-Gu, Seoul, 06974, Republic of Korea. hankihye@cau.ac.kr.ORCID http://orcid.org/0000-0003-0128-0369
Hyang BaekDepartment of Nursing, College of Health Professions, Towson University, Towson, MD, USA.ORCID http://orcid.org/0000-0002-9156-8034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare systems contribute substantially to global carbon emissions. As the largest healthcare workforce, nurses play a critical role in climate change mitigation. Understanding their behavioral patterns is essential for developing targeted interventions to promote environmental engagement. This study aimed to identify latent profiles of climate change mitigation behaviors among Korean hospital nurses and examine their associations with climate extreme experiences, information exposure, efficacy beliefs, and work-related factors.

methodsThis cross-sectional study utilized survey data from 861 hospital nurses in South Korea, derived from the "Nurses' accOuntability To Implement Climate and Environmental justice" project. Latent profile analysis was performed using eight behavioral items from the Korean version of the Climate, Health, and Nursing Tool. Differences among the identified profiles were examined using analysis of variance (ANOVA) with Games-Howell post hoc tests and chi-square tests.

resultsThree distinct profiles emerged: low engagement (8.5%), moderate engagement (45.3%), and high engagement (46.2%). The use of less gasoline (e.g., transportation) was a key distinguishing factor between the low and moderate engagement groups. Nurses in the high engagement group reported more frequent experiences with extreme climate events and higher levels of self-efficacy and collective efficacy. Paradoxically, greater exposure to climate-related information was associated with lower engagement. Furthermore, inadequate staffing was identified as a significant structural barrier negatively associated with pro-environmental behaviors.

conclusionThe findings underscore the importance of tailored strategies that account for nurses' levels of engagement. Notably, the paradoxical association between greater climate-related information exposure and lower engagement suggests that information alone is insufficient to drive behavioral change. Accordingly, interventions should move beyond increasing information exposure to emphasize actionable guidance, including positively framed messages that highlight the environmental impact of professional nursing practices. To foster sustained engagement and efficacy, healthcare organizations should address structural barriers by ensuring adequate staffing and implementing supportive systems for environmentally sustainable practices. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Climate changeCollective efficacyExperiencesHospitalsInformation exposureLatent profile analysisMitigation behaviorsNursesSelf-efficacySouth Korea

Identifiers

PMID42522026
PMCPMC13418128

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.