Predictors of Climate Change Preventive Behaviors among Military Nursing Personnel: Applying the Theory of Planned Behavior

Purpose: The aim of this study was to identify the factors that explain climate change prevention behaviors among military nursing personnel based on the Theory of Planned Behavior. Methods: This is a cross-sectional correlation study. Data were collected from 250 military nursing personnel through an online survey conducted from September 25 to November 30, 2024. The three exogenous variables (attitude toward climate change prevention behavior, subjective norm, and self-efficacy) and two endogenous variables (behavioral intention toward climate change prevention behavior, and climate change prevention behavior) were surveyed. Results: The hypothetical model fitted the data (χ<sup>2</sup>=7.56, CFI=.99, TLI=.93, GFI=.99, RMSEA=.07). Attitude toward climate change prevention behavior and self-efficacy had direct effects on behavioral intention, which explained 20% of variance. Behavioral intention had direct effect on climate change prevention behavior, which explained 36% of variance. Attitude toward climate change prevention behavior and self-efficacy had indirect effects on climate change prevention behavior mediated by behavioral intention. Conclusion: These findings suggest that promoting climate change prevention behaviors among military nursing personnel requires strategies that enhance attitudes and self-efficacy, thus strengthening the intention to engage in preventive behaviors.

Authors

Publication Details

Journal
Korean Journal of Military Nursing Research
Published
2025-09-30
DOI
https://doi.org/10.31148/kjmnr.2025.43.3.23
Primary Topic
Healthcare Education and Workforce Issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors of Climate Change Preventive Behaviors among Military Nursing Personnel: Applying the Theory of Planned Behavior

Juyoung Choi, Myungsuk Kang, Mijung Lee
Korean Journal of Military Nursing Research
Healthcare Education and Workforce Issues
article

Predictors of Climate Change Preventive Behaviors among Military Nursing Personnel: Applying the Theory of Planned Behavior

Juyoung Choi, Myungsuk Kang, Mijung Lee
article en

Abstract

Purpose: The aim of this study was to identify the factors that explain climate change prevention behaviors among military nursing personnel based on the Theory of Planned Behavior. Methods: This is a cross-sectional correlation study. Data were collected from 250 military nursing personnel through an online survey conducted from September 25 to November 30, 2024. The three exogenous variables (attitude toward climate change prevention behavior, subjective norm, and self-efficacy) and two endogenous variables (behavioral intention toward climate change prevention behavior, and climate change prevention behavior) were surveyed. Results: The hypothetical model fitted the data (χ<sup>2</sup>=7.56, CFI=.99, TLI=.93, GFI=.99, RMSEA=.07). Attitude toward climate change prevention behavior and self-efficacy had direct effects on behavioral intention, which explained 20% of variance. Behavioral intention had direct effect on climate change prevention behavior, which explained 36% of variance. Attitude toward climate change prevention behavior and self-efficacy had indirect effects on climate change prevention behavior mediated by behavioral intention. Conclusion: These findings suggest that promoting climate change prevention behaviors among military nursing personnel requires strategies that enhance attitudes and self-efficacy, thus strengthening the intention to engage in preventive behaviors.

Korean Journal of Military Nursing ResearchVol. 43(3)
Openalex Percentile: Top 34%
Healthcare Education and Workforce Issues
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.