A prediction model for physical activity adherence for secondary prevention among patients with coronary artery disease [관상동맥질환자의 이차예방을 위한 신체활동 이행 예측모형]

Abstract

Purpose: The purpose of this study was to construct and test a predictive model for physical activity adherence for secondary prevention among patients with coronary artery disease. Methods: Two hundred and eighty-two patients with coronary artery disease were recruited at cardiology outpatient clinics in four general hospitals and the data collection was conducted from September 1 to October 19, 2015. Results: The model fit indices for the final hypothetical model satisfied the recommended levels: χ 2 /dF=0.77, adjusted goodness of fit index=.98, comparative fit index=1.00, normal fit index=1.00, incremental fit index=1.00, standardized root mean residual=.01, root mean square error of approximation=.03. Autonomy support (β=.50), competence (β=.27), and autonomous motivation (β=.31) had significant direct effects on physical activity adherence for secondary prevention among patients with coronary artery disease. This variable explained 35.1% of the variance in physical activity adherence. Conclusion: This study showed that autonomy support from healthcare providers plays a key role in promoting physical activity adherence for secondary prevention among patients with coronary artery disease. The findings suggest that developing intervention programs to increase feelings of competence and autonomous motivation through autonomy support from healthcare providers are needed to promote physical activity adherence for secondary prevention among patients with coronary artery disease. © 2019 Korean Society of Adult Nursing.