SDSU/UCSD Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
Psychol Health. 2009 Oct;24(8):965-80. doi: 10.1080/08870440802110831.
Cancer-related fatigue is associated with lower health-related quality of life and the majority of breast cancer survivors experience persistent fatigue after finishing treatment. The present study examines age, cancer stage, sleep quality and depressed mood as predictors of five dimensions of fatigue in 70 fatigued breast cancer survivors who no longer evidenced any signs of cancer and were finished with treatment. Discriminant function analyses were used to predict fatigue subgroup membership (higher, lower) from age, stage, mood and sleep for five subtypes: General, Mental, Emotional, and Physical fatigue, and Vigour. Significant discriminant functions were found for all subtypes. Findings suggest that age, staging, mood and sleep are all important predictors, but there are differential relationships when subtypes of fatigue are considered. Given current limitations in treating fatigue directly, interventions targeting mood and sleep should be considered as alternate approaches to reduce fatigue.
癌症相关性疲劳与较低的健康相关生活质量相关,且大多数乳腺癌幸存者在治疗结束后仍持续存在疲劳感。本研究旨在探讨年龄、癌症分期、睡眠质量和抑郁情绪是否能预测 70 名已无癌症迹象且已完成治疗的疲劳乳腺癌幸存者的五种疲劳维度。判别函数分析用于从年龄、分期、情绪和睡眠五个亚型(一般疲劳、精神疲劳、情绪疲劳、身体疲劳和活力)预测疲劳亚组的特征(高、低)。对于所有的亚型都发现了显著的判别函数。研究结果表明,年龄、分期、情绪和睡眠都是重要的预测因素,但在考虑疲劳亚型时,它们之间存在差异关系。鉴于目前直接治疗疲劳的局限性,应该考虑针对情绪和睡眠的干预措施作为减轻疲劳的替代方法。