Correlates of fatigue in patients with heart failure.
This study was conducted to determine the prevalence of fatigue and identify its demographic, clinical, and psychological correlates in 150 heart failure (HF) patients (73% men, 66% Caucasian, mean age 55.0 years, mean ejection fraction 26.7%+/-11%), from a single HF center, using the Profile of Mood States-Fatigue Subscale, the Minnesota Living With Heart Failure Questionnaire, and the Beck Depression Inventory. Sociodemographic and clinical data were obtained through self-report and chart abstraction. High levels of fatigue were reported in 50.4% of men and 51.2% of women. In a multivariate model, maximal workload, physical health, emotional health, and depression explained 51% of the variance in fatigue (P<.001). Fatigue in patients with HF is associated with both clinical and psychosocial variables, offering a number of targets for intervention. These findings suggest the need for multiple risk factor intervention strategies that improve physical and emotional health to decrease fatigue. Patients with depression warrant particular scrutiny.
Evangelista
Lorraine S
LS
University of California, Los Angeles School of Nursing, Los Angeles, CA 90095-6918, USA. levangel@ucla.edu
Moser
Debra K
DK
Westlake
Cheryl
C
Pike
Nancy
N
Ter-Galstanyan
Alvina
A
Dracup
Kathleen
K
D000328:Adult; D000368:Aged; D001294:Attitude to Health; D002140:California / Q000453:epidemiology; D003430:Cross-Sectional Studies; D003863:Depression / Q000150:complications; D005221:Fatigue / Q000453:epidemiology / Q000209:etiology* / Q000517:prevention & control / Q000523:psychology*; D005260:Female; D006304:Health Status; D006333:Heart Failure / Q000150:complications*; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D015404:Nursing Methodology Research; D015995:Prevalence; D011788:Quality of Life / Q000523:psychology; D012307:Risk Factors; D012720:Severity of Illness Index; D011795:Surveys and Questionnaires; D016526:Workload