认知-存在主义群体干预对癌症复发恐惧的改变机制:FORT试验的中介分析

S. Lebel, C. Maheu, C. Tomei, Brittany Mutsaers, L. Bernstein, C. Courbasson, S. Ferguson, Cheryl Harris, L. Jolicoeur, Monique Lefebvre, L. Muraca, A. Ramanakumar, Mina D. Singh, Julia Parrott
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引用次数: 1

摘要

背景:荟萃分析表明,简短的干预可以解决癌症复发恐惧(FCR),但其作用机制在很大程度上是未知的。我们的目的是利用一项针对FCR的多地点随机对照试验的数据,确定恐惧复发治疗(FORT)干预治疗效果的介质。这项随机对照试验将为期6周的认知存在干预组与积极对照组进行了比较。方法:参与者(n = 135)是诊断为I-III期乳腺癌或妇科癌症的妇女,在4个时间点(治疗前、治疗后、3个月和6个月的随访)进行评估。主要结局是6个月时FCR的变化,用癌症复发恐惧量表测量。基于我们的FCR理论模型,我们检查了6个中介:复发的感知风险、疾病的不确定性、对不确定性的不容忍、对担忧的积极信念、寻求安慰和认知回避。同时研究了可能中介变量的变化,使用具有稳健方差估计的广义结构方程模型来预测FCR的变化。结果:在单变量分析中,FORT预测6个月时的FCR (β = - 8.93, P = 0.0001)。在包含6种可能介质的模型中,疾病不确定性的变化(β = - 8.72, P < 0.0001)和认知回避(β = - 8.36, P < 0.0001)介导了治疗与FCR变化之间的关系。然而,FORT仍然预测6个月时FCR的变化(β = - 6.35, P = 0.02),提示部分介导。结论:我们确定了两种可纳入未来干预措施的作用机制。然而,需要发现这些干预措施有效性背后的其他过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mechanisms of change of a cognitive-existential group intervention for fear of cancer recurrence: mediation analyses of the FORT trial
Abstract Background: Meta-analyses have demonstrated that brief interventions can address fear of cancer recurrence (FCR), but their mechanisms of action are largely unknown. Our goal was to identify the mediators of treatment efficacy of the Fear Of Recurrence Therapy (FORT) intervention using data from a multisite randomized controlled trial targeting FCR. That randomized controlled trial compared a 6-week cognitive-existential group intervention with an active control group. Methods: Participants (n = 135) were women diagnosed with stage I-III breast or gynecological cancer who were assessed at 4 time points (pretherapy, post-therapy, 3-month, and 6-month follow-up). The primary outcome, changes in FCR at 6 months, was measured with the Fear of Cancer Recurrence Inventory. We examined 6 mediators based on our theoretical model of FCR: perceived risk of recurrence, uncertainty in illness, intolerance of uncertainty, positive beliefs about worrying, reassurance-seeking, and cognitive avoidance. Changes in the possible mediator variables were simultaneously investigated to predict changes in FCR using Generalized Structural Equation Models with robust variance estimation. Results: FORT predicted FCR at 6 months in univariate analyses (β  = −8.93, P = .0001). In the model including the 6 possible mediators, changes in uncertainty in illness (β = −8.72, P < .0001) and cognitive avoidance (β = −8.36, P < .0001) mediated the relationship between treatment and changes in FCR. However, FORT still predicted changes in FCR at 6 months (β = −6.35, P = .02), suggesting partial mediation. Conclusions: We identified 2 mechanisms of action that can be incorporated in future interventions. However, other processes that underlie the efficacy of these interventions need to be uncovered.
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