Cited 0 times in 
Cited 0 times in 
Nurses' Perceptions and Behaviours Regarding Climate Change and Health: A Quantile Regression Analysis
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김광숙 | - |
| dc.contributor.author | 박민경 | - |
| dc.date.accessioned | 2026-01-06T00:39:16Z | - |
| dc.date.available | 2026-01-06T00:39:16Z | - |
| dc.date.issued | 2025-12 | - |
| dc.identifier.issn | 0309-2402 | - |
| dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/209722 | - |
| dc.description.abstract | Aims: The aim of this study is to identify the factors associated with nurses' perceptions and behaviours related to climate change and health (PBCH) according to their PBCH levels. Design: A cross-sectional study was used. Methods: This study included a sample of 499 Korean nurses and adhered to the STROBE checklist. Data were collected from March 23 to May 10, 2023. Quantile regression analysis was performed, and PBCH levels were measured using the Korean version of the Climate Health and Nursing Tool. Results: Across all quantile groups, the experience of extreme weather events and awareness of climate change-coping facilitators were associated with PBCH. Differences were observed in factors associated with PBCH levels. Significant associations with PBCH were observed within the 75th percentile group, for having a religion, household income, and workplace climate friendliness. In the 25th percentile group, having a child, the number of sources for climate change-health-related information, and experience in setting climate change-health goals and strategies significantly influenced PBCH. Conclusion: We propose a differentiated strategy by elucidating the factors associated with high and low quantiles of PBCH levels. Implications: By verifying specific factors associated with PBCH levels, nurses can enhance their preparedness to respond to the health risks posed by climate change in their clients. Impact: Identifying common factors associated with all quantiles of nurses is important for establishing universal PBCH characteristics. Recognising the distinctions between high and low PBCH levels can aid in developing tailored nursing strategies to enhance PBCH among nurses. Reporting method: This study adhered to the STROBE guidelines. Patient or public contribution: No Patient or Public Contribution. | - |
| dc.description.statementOfResponsibility | open | - |
| dc.format | application/pdf | - |
| dc.language | English | - |
| dc.publisher | Blackwell Scientific Publications | - |
| dc.relation.isPartOf | JOURNAL OF ADVANCED NURSING | - |
| dc.rights | CC BY-NC-ND 2.0 KR | - |
| dc.subject.MESH | Adult | - |
| dc.subject.MESH | Attitude of Health Personnel* | - |
| dc.subject.MESH | Climate Change* | - |
| dc.subject.MESH | Cross-Sectional Studies | - |
| dc.subject.MESH | Female | - |
| dc.subject.MESH | Humans | - |
| dc.subject.MESH | Male | - |
| dc.subject.MESH | Middle Aged | - |
| dc.subject.MESH | Nursing Staff, Hospital* / psychology | - |
| dc.subject.MESH | Regression Analysis | - |
| dc.subject.MESH | Republic of Korea | - |
| dc.subject.MESH | Surveys and Questionnaires | - |
| dc.title | Nurses' Perceptions and Behaviours Regarding Climate Change and Health: A Quantile Regression Analysis | - |
| dc.type | Article | - |
| dc.contributor.college | College of Nursing (간호대학) | - |
| dc.contributor.department | Dept. of Nursing (간호학과) | - |
| dc.contributor.googleauthor | Min Kyung Park | - |
| dc.contributor.googleauthor | Seoyoung Baek | - |
| dc.contributor.googleauthor | Da Woon Jeong | - |
| dc.contributor.googleauthor | Gwang Suk Kim | - |
| dc.identifier.doi | 10.1111/jan.16535 | - |
| dc.contributor.localId | A00314 | - |
| dc.relation.journalcode | J01222 | - |
| dc.identifier.eissn | 1365-2648 | - |
| dc.identifier.pmid | 39410668 | - |
| dc.subject.keyword | behaviour | - |
| dc.subject.keyword | climate change | - |
| dc.subject.keyword | environment | - |
| dc.subject.keyword | health | - |
| dc.subject.keyword | nurses | - |
| dc.subject.keyword | perception | - |
| dc.subject.keyword | quantile regression | - |
| dc.contributor.alternativeName | Kim, Gwang Suk | - |
| dc.contributor.affiliatedAuthor | 김광숙 | - |
| dc.citation.volume | 81 | - |
| dc.citation.number | 12 | - |
| dc.citation.startPage | 8218 | - |
| dc.citation.endPage | 8229 | - |
| dc.identifier.bibliographicCitation | JOURNAL OF ADVANCED NURSING, Vol.81(12) : 8218-8229, 2025-12 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.