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Trajectory and Predictors of Alliance in Cognitive Behavioral Therapy for Youth Anxiety

机译:青年焦虑症认知行为治疗联盟的轨迹和预测因素

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Multilevel growth analysis was used to establish the shape of change (mean growth trajectory) for youth- and therapist-rated alliance in cognitive behavioral therapy (CBT) for anxious youth and to identify between-youth predictors of alliance trajectory. Youth (N=69; ages 7-17; 52.2% female) and their parents participated in an empirically supported CBT protocol. Therapists rated alliance each session and youth every four sessions. Data were fit to four growth models: linear, quadratic, a dual slope, and a novel alliance rupture model. Two-level models were estimated to examine the effect of youth age, sex, pretreatment symptom severity, diagnostic comorbidity, early treatment factors (use of Selective Serotonin Reuptake Inhibitors), and coping styles (engagement, disengagement, and involuntary coping). A dual slope model fit therapist data best, whereas youth data did not evidence systematic growth. Two-level growth models identified that pretreatment anxiety severity predicted higher initial alliance levels. Depressive symptoms predicted less linear growth and engagement coping predicted greater growth during exposure sessions. No variables predicted preexposure growth. In the therapist model, 22% of initial alliance, 50% of preexposure growth, and 75% of postexposure growth were accounted for by between youth variables (mood disorder, anxiety and depression symptoms, engagement and involuntary coping). Therapist-reported alliance ratings may grow over the course of manual-based CBT, even during exposure-focused sessions. Pretreatment youth factors and coping style may influence the absolute value and linear trajectory of alliance during CBT. Findings about alliance-influencing factors can help set expectations for, and enhance training in, empirically supported treatments.
机译:多级生长分析用于确定焦虑青年的认知行为疗法(CBT)中青年和治疗师级联盟的变化形状(平均增长轨迹),并确定联盟轨迹的年轻人间预测因子。青年(N = 69; 7-17岁;女性52.2%)及其父母参加了经验支持的CBT方案。治疗师每节评价同盟,每四节评价一次青年。数据适合四种增长模型:线性,二次,双斜率和新型联盟破裂模型。估计使用两个级别的模型来检查青年年龄,性别,治疗前症状严重程度,诊断合并症,早期治疗因素(使用选择性5-羟色胺再摄取抑制剂的使用)和应对方式(参与,脱离接触和非自愿应对)的影响。双斜率模型最适合治疗师的数据,而青年人的数据并不能证明系统的增长。两级增长模型确定,治疗前焦虑严重程度预示着较高的初始联盟水平。抑郁症状预示着线性增长较少,而参与应对则预示着暴露期间的增长较大。没有变量预测暴露前的增长。在治疗师模型中,青年变量(情绪障碍,焦虑和抑郁症状,参与和非自愿应对)之间占初始联盟的22%,暴露前增长的50%和暴露后增长的75%。治疗师报告的联盟评分可能会在基于手动的CBT过程中提高,即使在针对暴露人群的会议中也是如此。预处理的青年因素和应对方式可能会影响CBT期间联盟的绝对价值和线性轨迹。有关联盟影响因素的发现可以帮助设定对经验支持的治疗方法的期望并加强其培训。

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