Abstract
Purpose: Fatigue is a pervasive problem in cardiovascular populations; however, there is limited research examining symptom patterns and predictors of fatigue in patients with stable coronary disease (CAD). The purpose of this study was to evaluate whether fatigue was predicted by gender, depressive symptoms, age, and prior history of heart failure. Leventhal's self-regulation model was used as the conceptual basis for this study.
Methods: In this prospective design, a convenience sample of patients (n=180) with stable CAD were recruited after treatment. Data collection occurred during hospitalization at baseline (post procedure) and 30-days after discharge using mailed surveys. At 30-days, 52.8% of surveys were returned (men n=74, women n=21). Measurements included the Profile of Mood States (POMS) for fatigue (POMS-F) and depressed mood (POMS-D). Patient mood responses reflected the 7-day period prior to each of the measured time points.
Results: Regression models were constructed to evaluate predictors of fatigue for patients at baseline (n=180, f=12.65, df=4; r2=.224, < .01) and 30-days (n=95, f=10.02, df=4, r2=.308, < .01). At baseline, gender (beta=.257, < .01) and depressed mood (beta=.425, < .01) were predictors of fatigue, with higher fatigue scores in women (M=14.8, SD=6.3) compared to men (M=12.1, SD=6.4). By 30-days, gender was no longer significant (beta=.055, p=.547; POMS-F scores women: M=5.8, SD=5.7; men: M=5.1, SD=3.8); however, depressed mood remained a predictor of fatigue (beta=.286, p=.005). Age and prior history of heart failure were not significant predictors at either time point. POMS-F normative scores are M=8.7, SD=6.1 for women and M=7.3, SD=5.7 for men.
Conclusion: Women demonstrated higher fatigue scores within the week prior to treatment. Men and women differ in their levels of fatigue prior to treatment for stable CAD. Our results complement research from patients with acute myocardial infarction, which demonstrated gender differences in the presence of fatigue prior to acute events. Future research should focus on the severity and etiology of fatigue in this population.
Sigma Membership
Alpha Lambda
Type
Presentation
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
N/A
Keywords:
Fatigue, Symptoms, Coronary Artery Disease
Recommended Citation
Fennessy, Michelle M.; DeVon, Holli A.; Ryan, Catherine; and Zerwic, Julie Johnson, "Predictors of fatigue in patients with stable coronary disease" (2012). INRC (Congress). 77.
https://www.sigmarepository.org/inrc/2012/presentations_2012/77
Conference Name
23rd International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Brisbane, Australia
Conference Year
2012
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Acquisition
Proxy-submission
Predictors of fatigue in patients with stable coronary disease
Brisbane, Australia
Purpose: Fatigue is a pervasive problem in cardiovascular populations; however, there is limited research examining symptom patterns and predictors of fatigue in patients with stable coronary disease (CAD). The purpose of this study was to evaluate whether fatigue was predicted by gender, depressive symptoms, age, and prior history of heart failure. Leventhal's self-regulation model was used as the conceptual basis for this study.
Methods: In this prospective design, a convenience sample of patients (n=180) with stable CAD were recruited after treatment. Data collection occurred during hospitalization at baseline (post procedure) and 30-days after discharge using mailed surveys. At 30-days, 52.8% of surveys were returned (men n=74, women n=21). Measurements included the Profile of Mood States (POMS) for fatigue (POMS-F) and depressed mood (POMS-D). Patient mood responses reflected the 7-day period prior to each of the measured time points.
Results: Regression models were constructed to evaluate predictors of fatigue for patients at baseline (n=180, f=12.65, df=4; r2=.224, < .01) and 30-days (n=95, f=10.02, df=4, r2=.308, < .01). At baseline, gender (beta=.257, < .01) and depressed mood (beta=.425, < .01) were predictors of fatigue, with higher fatigue scores in women (M=14.8, SD=6.3) compared to men (M=12.1, SD=6.4). By 30-days, gender was no longer significant (beta=.055, p=.547; POMS-F scores women: M=5.8, SD=5.7; men: M=5.1, SD=3.8); however, depressed mood remained a predictor of fatigue (beta=.286, p=.005). Age and prior history of heart failure were not significant predictors at either time point. POMS-F normative scores are M=8.7, SD=6.1 for women and M=7.3, SD=5.7 for men.
Conclusion: Women demonstrated higher fatigue scores within the week prior to treatment. Men and women differ in their levels of fatigue prior to treatment for stable CAD. Our results complement research from patients with acute myocardial infarction, which demonstrated gender differences in the presence of fatigue prior to acute events. Future research should focus on the severity and etiology of fatigue in this population.