Keller Ferdinand, Stadnitski Tatjana, Nützel Jakob, Schepker Renate
1 Klinik für Kinder- und Jugendpsychiatrie/Psychotherapie Ulm.
2 Institut für Psychologie und Pädagogik Ulm.
Z Kinder Jugendpsychiatr Psychother. 2019 Mar;47(2):126-137. doi: 10.1024/1422-4917/a000594. Epub 2018 Jul 6.
Process analysis of weekly self- and external assessments of adolescents with substance abuse disorder during long-term psychotherapy Abstract.
Little is known about the course of emotional and motivational states in young patients with substance use disorder (SUD) during long-term treatment.
We collected weekly self-reports from N = 42 adolescents, resulting in 853 questionnaires. Additionally, 708 observations were obtained from their key carers. Principal component analysis (PCA) was used to explore the dimensional structure of the questionnaires. Multi-level models were applied to test for group differences and time series models to evaluate dependencies on the person level.
PCA yielded four factors: negative mental state, appreciation of the setting, motivation, and addiction dynamics. Correlations between self- and (unidimensional) carer-reports were low to moderate, but differential on the individual level. Scores of all four scales decreased during the course of treatment. The level of appreciation during the initial phase was the only significant predictor for drop-outs of treatment later on: in drop-outs, appreciation decreased, whereas it increased in completers.
Appreciation was the most important predictive factor for a regular therapy ending in SUD, whereas motivation showed fluctuations typical for adolescence. Addiction dynamics were of lesser relevance than commonly expected. Therefore, programs in long-term SUD treatment should focus more on improving appreciation than on issues of addiction itself.
对患有物质使用障碍的青少年在长期心理治疗期间每周进行自我评估和外部评估的过程分析 摘要。
对于患有物质使用障碍(SUD)的年轻患者在长期治疗期间的情绪和动机状态变化过程,我们了解甚少。
我们收集了N = 42名青少年的每周自我报告,共得到853份问卷。此外,还从他们的主要照顾者那里获得了708份观察报告。主成分分析(PCA)用于探索问卷的维度结构。多层次模型用于检验组间差异,时间序列模型用于评估个体层面的相关性。
主成分分析产生了四个因素:负面心理状态、对治疗环境的评价、动机和成瘾动态。自我报告与(单维度的)照顾者报告之间的相关性低至中等,但在个体层面存在差异。在治疗过程中,所有四个量表的得分均下降。初始阶段的评价水平是后期治疗退出的唯一显著预测因素:在退出治疗的患者中,评价下降,而在完成治疗的患者中评价上升。
评价是SUD常规治疗结束的最重要预测因素,而动机表现出青春期典型的波动。成瘾动态的相关性低于普遍预期。因此,长期SUD治疗项目应更多地关注提高评价,而非成瘾问题本身。