Evangelista Lorraine S, Moser Debra K, Westlake Cheryl, Pike Nancy, Ter-Galstanyan Alvina, Dracup Kathleen
University of California, Los Angeles School of Nursing, Los Angeles, CA 90095-6918, USA.
Prog Cardiovasc Nurs. 2008 Winter;23(1):12-7. doi: 10.1111/j.1751-7117.2008.07275.x.
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.
本研究旨在确定150例来自单一心力衰竭(HF)中心的患者疲劳的患病率,并识别其人口统计学、临床和心理方面的相关因素(73%为男性,66%为白种人,平均年龄55.0岁,平均射血分数26.7%±11%),采用情绪状态量表-疲劳分量表、明尼苏达心力衰竭生活问卷和贝克抑郁量表。通过自我报告和病历摘要获取社会人口统计学和临床数据。报告显示,50.4%的男性和51.2%的女性存在高水平疲劳。在多变量模型中,最大工作量、身体健康、情绪健康和抑郁解释了疲劳差异的51%(P<0.001)。HF患者的疲劳与临床和心理社会变量均相关,提供了多个干预靶点。这些发现表明需要采取多种危险因素干预策略来改善身体和情绪健康以减轻疲劳。抑郁症患者值得特别关注。