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Influence of Illness Uncertainty on Health Behavior in Individuals with Coronary Artery Disease: A Path Analysis
Article de En | WPRIM | ID: wpr-1043381
Bibliothèque responsable: WPRO
ABSTRACT
Purpose@#This study aimed to investigate the influence of uncertainty-related factors on the health behavior of individuals with coronary artery disease (CAD) based on Mishel’s uncertainty in illness theory (UIT). @*Methods@#We conducted a cross-sectional study and path analysis to investigate uncertainty and factors related to health behavior. The study participants were 228 CAD patients who visited the outpatient cardiology department between September 2020 and June 2021. We used SPSS 25.0 and AMOS 25.0 software to analyze the data. @*Results@#The final model demonstrated a good fit with the data. Eleven of the twelve paths were significant. Uncertainty positively affected danger and negatively affected self-efficacy and opportunity. Danger had a positive effect on perceived risk. Opportunity positively affected social support, self-efficacy, perceived benefit and intention, whereas it negatively affected perceived risk. Social support, self-efficacy, perceived benefit and intention had a positive effect on health behavior. We found that perceived benefit and intention had the most significant direct effects, whereas self-efficacy indirectly affected the relationship between uncertainty and health behavior. @*Conclusion@#The path model is suitable for predicting the health behavior of CAD patients who experience uncertainty. When patients experience uncertainty, interventions to increase their self-efficacy are required first. Additionally, we need to develop programs that quickly shift to appraisal uncertainty as an opportunity, increase perceived benefits of health behavior, and improve intentions.
Texte intégral: 1 Indice: WPRIM langue: En Texte intégral: Journal of Korean Academy of Nursing Année: 2024 Type: Article
Texte intégral: 1 Indice: WPRIM langue: En Texte intégral: Journal of Korean Academy of Nursing Année: 2024 Type: Article