4.5 Article

Trajectories of Fatigue in Patients With Breast Cancer Before, During, and After Radiation Therapy

期刊

CANCER NURSING
卷 33, 期 3, 页码 201-212

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/NCC.0b013e3181c75f2a

关键词

Breast cancer; Depression; Fatigue; Hierarchical linear modeling; Radiation therapy; Sleep disturbance; Symptom patterns; Symptom trajectories

资金

  1. National Institute of Nursing Research [NR04835]
  2. National Institutes of Health Roadmap for Medical Research [K12RR023262]
  3. Endo Pharmaceuticals
  4. PriCara
  5. Unit of Ortho-McNeil, Inc
  6. Purdue Pharma LP

向作者/读者索取更多资源

Background: Fatigue is a significant problem associated with radiation therapy (RT). Objective: This study examined how evening and morning fatigue changed from the time of simulation to 4 months after the completion of RT and investigated whether specific demographic and disease characteristics and baseline severity of symptoms predicted the initial levels of fatigue and characteristics of the trajectories of fatigue. Methods: Seventy-three women with breast cancer completed questionnaires that assessed sleep disturbance, depression, anxiety, and pain prior to the initiation of RT and the Lee Fatigue Scale, over 6 months. Descriptive statistics and hierarchical linear modeling were used for data analysis. Results: Large amounts of interindividual variability were found in the trajectories of fatigue. Evening fatigue at baseline was negatively influenced by having children at home and depression. The trajectory of evening fatigue was worse for women who were employed. Morning fatigue at baseline was influenced by younger age, lower body mass index, and the degree of sleep disturbance and trait anxiety. Trajectories of morning fatigue were worse for patients with a higher disease stage and more medical comorbidities. Conclusion: Interindividual and diurnal variability in fatigue found in women with breast cancer is similar to that found in men with prostate cancer. However, the predictors of interindividual variability in fatigue between these 2 cohorts were different. Implications for Practice: Diurnal variability and different predictors for morning and evening fatigue suggest different underlying mechanisms. The various predictors of fatigue need to be considered in the design of future intervention studies.

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