Utility of a cognitive-behavioral model to predict fatigue following breast cancer treatment
Utility of a cognitive-behavioral model to predict fatigue following breast cancer treatment
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DOI：
10.1037/0278-6133.26.4.464
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发表时间：
2007-07-01
影响因子：
4.2
通讯作者：
Jacobsen, Paul B.
中科院分区：
文献类型：
--
作者：
Donovan, Kristine A.;Small, Brent J.;Jacobsen, Paul B.
本研究的目的有两个：（a）使用生长混合模型确定是否可以基于乳腺癌患者在治疗早期癌症后的不同疲劳轨迹或模式来鉴定乳腺癌患者的亚组，和（B）检查是否可以基于认知-行为模型来区分亚组.采用混合生长模型和前瞻性纵向设计研究早期乳腺癌治疗后的疲劳过程。女性（n = 261;平均年龄= 55.2岁）提供治疗后6个月的疲劳评级。提取低疲劳组（n = 85）和高疲劳组（n = 176）。未婚、收入较低、身体质量指数较高、疲劳程度较高、运动参与度较低的女性更有可能属于高疲劳组。在多变量分析中，只有体重指数和灾难化仍然是显着的预测因子。研究结果表明，治疗后疲劳的经验有相当大的异质性，并支持认知行为模型在预测治疗后疲劳过程中的效用。
The objective of the current study was twofold: (a) to determine whether subgroups of breast cancer patients could be identified on the basis of their distinct trajectory or pattern of fatigue following treatment for early stage cancer using growth mixture modeling and (b) to examine whether the subgroups could be distinguished on the basis of a cognitive- behavioral model. Growth mixture modeling and a prospective longitudinal design were used to examine the course of fatigue after treatment for early stage breast cancer. Women (n = 261; mean age = 55.2 years) provided fatigue ratings for 6 months following treatment. A low-fatigue group (n = 85) and a high-fatigue group (n = 176) were extracted. Women who were not married, had a lower income, had a higher body mass index, engaged in greater fatigue catastrophizing, and were lower in exercise participation were more likely to be in the high-fatigue group. Only body mass index and catastrophizing remained significant predictors in multivariate analysis. Findings suggest considerable heterogeneity in the experience of fatigue following treatment and support the utility of a cognitive- behavioral model in predicting the course of posttreatment fatigue.