TITLE:
Cardiac-self efficacy predicts adverse outcomes in coronary artery disease (CAD) patients
AUTHORS:
Adrienne O’Neil, Michael Berk, Justin Davis, Lesley Stafford
KEYWORDS:
Self-Efficacy; Cardiac; Coronary Artery Disease (CAD); Depression; Functioning
JOURNAL NAME:
Health,
Vol.5 No.7C,
July
18,
2013
ABSTRACT: Background: Little is
known about the predictive role of Cardiac Self Efficacy (CSE) in the ensuing
months following a coronary event. We sought to determine whether CSE predicts
adverse events in the months following discharge in patients with Coronary
Artery Disease (CAD). Design: Data from a prospective study of 193 patients
recently hospitalized for CAD. Methods: Data were collected via participant
self-report and medical records at 3-month post-discharge (baseline; T1),
6-month post-discharge (T2) and 9-month post-discharge (T3). CSE was measured
using the Cardiac Self Efficacy Scale. Multi-variate regression modeling was
applied to explore the association between baseline CSE scores and
cardiac-related hospital admissions and functional cardiac status at T2 and T3.
Other outcomes included any hospital admissions, self-reported mental and physical
health at follow up. Results: Higher CSE scores at baseline significantly
predicted better cardiac functioning and self-rated mental and physical health
at both T2 and T3 (with one exception); this was consistent across all five
models. While baseline CSE did not predict cardiac or other hospital admission
at T2, CSE was a significant predictor of both outcomes at T3; higher CSE
scores resulted in reductions in likelihood of hospital admissions. After
adjustment for psychosocial variables however, neither association remained.
Baseline depression explained the association between baseline CSE and any
cardiac admissions, as well as baseline CSE and any hospital admissions at T3
follow up. Conclusions: While CSE can predict key outcomes following a CAD event,
much of the association can be explained by the presence of depression.