Climate Change Risk Perception and Adaptive Behaviors: An Application of the Health Belief Model
Abstract
Background: : Climate change poses increasing environmental and public health risk, particularly in arid regions, understanding how population perceives this risk and translating awareness into adoptive behavior is essential for effective climate resilience strategies. This study examined climate change risk perception and adoptive behavior among Hail region population in Saudi Araba using Health Belief Model (HBM).
Methods:: Cross-Sectional study was conducted among 460 participants using structured questionnaire based on HBM constructs. Data was analyzed by applying descriptive statistics, superman's correlation, logistic regression, and structural equation modeling to assess the predictors and pathways influencing adoptive behavior.
Results:: About half of participants stated high climate change risk perception (50.7%) and adoptive behavior (53.9%). Education, gender, and employment sector were significant predictors of risk perception, however adoptive behavior displayed constrained sociodemographic associations. Correlation analysis revealed strong relationships adoptive behavior and enabling constructs, particulary perceived benefits and self-efficacy than with susceptibility and severity. Path analysis demonstrated that risk perception significantly influenced adoptive behavior (β=1.00, p < 0.001) however, perceived barrier exerted strongest effect (β=0.70), followed by benefits, cues to action, and self-efficacy. The model displayed satisfactory fit and illuminated a…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 460 participants or records.
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