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Path analysis of cardiovascular disease preventive health behavior in postmenopausal Korean women based on the
1College of Nursing, Research Institute of AI and Nursing Science, Gachon University, Incheon, Republic of Korea.
Abstract:
Postmenopausal women are at increased risk of cardiovascular disease (CVD) owing to hormonal changes; however, many remain unaware of this increased risk and do not engage in CVD-preventive health behavior. This study aimed to examine factors associated with CVD-preventive health behavior among postmenopausal women living in residential area across South Korea. Data were collected through an online survey of 227 community-dwelling postmenopausal women. Associations among CVD knowledge, risk perception, attitudes, social support, intention, and CVD-preventive health behavior were examined using the Integrated Change (I-Change) model and analyzed through path analysis. The path analysis showed that CVD knowledge had a direct effect on attitudes (β = .21, p < .001), self-efficacy (β = .15, p = .021), and social support (β = .15, p = .023). Self-efficacy (β = .37, p < .001) and intention (β = .38, p < .001) had direct effects on CVD-preventive health behavior. The final model explained 48.7% of the variance in CVD-preventive health behavior. These findings suggest that self-efficacy and intention play important mediating roles in the association between CVD knowledge and CVD-preventive health behavior among postmenopausal women. Therefore, interventions aimed at reducing CVD risk should consider strategies to enhance self-efficacy and strengthen behavioral intention.
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