Three distinct trajectories of exercise self-efficacy were identified in patients with multivessel coronary artery disease: a 'Low-Efficacy Decline Group' (22%), a 'High-Efficacy Ascending-Stable Group' (34%), and a 'Moderate-Efficacy Continuous Increase Group' (44%), with diabetes, exercise habits, social support, anxiety, and income as significant predictors of trajectory subgroup membership.
Key Findings
Results
Three distinct developmental trajectories of exercise self-efficacy were identified among patients with multivessel coronary artery disease.
The three trajectories were labeled: 'Low-Efficacy Decline Group' (22%), 'High-Efficacy Ascending-Stable Group' (34%), and 'Moderate-Efficacy Continuous Increase Group' (44%).
The latent class growth model (LCGM) was employed to identify these trajectories.
Exercise self-efficacy was measured at four time points: third day of admission (T1), one month after discharge (T2), three months after discharge (T3), and six months after discharge (T4).
A total of 297 patients with multivessel coronary artery disease were recruited from three tertiary hospitals in Tangshan, China, between September 2023 and October 2024.
Results
Predictors of membership in the Low-Efficacy Decline Group (compared to the Moderate-Efficacy Continuous Increase Group) included having diabetes, lack of exercise habits, low social support, and anxiety.
Multinomial logistic regression was used to determine the predictors of trajectory subgroup membership.
The Low-Efficacy Decline Group comprised approximately 22% of the sample.
Having diabetes was identified as a significant predictor for this group.
Lack of exercise habits, low social support, and anxiety were also significant predictors distinguishing this group from the moderate-efficacy continuous increase group.
Results
Predictors of membership in the High-Efficacy Ascending-Stable Group (compared to the Moderate-Efficacy Continuous Increase Group) included high average monthly household income, established exercise habits, and strong social support.
The High-Efficacy Ascending-Stable Group comprised approximately 34% of the sample.
Multinomial logistic regression identified high average monthly household income, established exercise habits, and strong social support as significant predictors for this group.
These predictors were identified in contrast to those for the low-efficacy decline group, highlighting divergent socioeconomic and behavioral factors.
Methods
Exercise self-efficacy was measured using the Multidimensional Self-Efficacy for Exercise Scale across four longitudinal time points.
Measurements were taken on the third day of admission (T1), one month after discharge (T2), three months after discharge (T3), and six months after discharge (T4).
The study was conducted across three tertiary hospitals in Tangshan, China.
The study recruited 297 patients with multivessel coronary artery disease over a period from September 2023 to October 2024.
Conclusions
The study found heterogeneous trajectories of exercise self-efficacy among patients with multivessel coronary artery disease, highlighting the necessity for personalized intervention strategies.
The identification of three distinct trajectory subgroups indicates that exercise self-efficacy does not follow a uniform course in this patient population.
The authors noted these findings offer a valuable opportunity for early prevention and targeted interventions aimed at enhancing exercise self-efficacy.
Social support and exercise habits emerged as predictors relevant to multiple trajectory subgroups, suggesting their broad importance in this population.
Sun B, Wang J, Xiao H, Wang Y, Wang J. (2026). Heterogeneous trajectories of exercise self-efficacy and its predictors in patients with multivessel coronary artery disease: A longitudinal study.. PloS one. https://doi.org/10.1371/journal.pone.0339591