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舞蹈动作疗法对成人自闭症谱系障碍患者的影响:一项随机对照试验。

Effects of Dance Movement Therapy on Adult Patients with Autism Spectrum Disorder: A Randomized Controlled Trial.

作者信息

Mastrominico Anna, Fuchs Thomas, Manders Elizabeth, Steffinger Lena, Hirjak Dusan, Sieber Maik, Thomas Elisabeth, Holzinger Anja, Konrad Ariane, Bopp Nina, Koch Sabine C

机构信息

Department of Therapy Sciences, SRH University Heidelberg, 69123 Heidelberg, Germany.

Department of Psychiatry, University of Heidelberg, 69115 Heidelberg, Germany.

出版信息

Behav Sci (Basel). 2018 Jun 29;8(7):61. doi: 10.3390/bs8070061.

Abstract

This study examines the effects of dance movement therapy (DMT) on empathy for adults with autism spectrum disorder (ASD). DMT based on the embodiment approach offers body-centered interventions, such as mirroring techniques, to address the needs of ASD patients. Accordingly, findings of a feasibility study suggest that DMT may be an effective approach for clients on the ASD spectrum. The present study is a randomized controlled trial that was conducted as a multicenter study within the framework of the EU-funded research project TESIS (Toward an Embodied Science of Intersubjectivity), and employed a two-factorial between-subject design. The treatment group ( = 35) participated in a 10-week manualized DMT intervention, whereas the control group ( = 22) received treatment only after a waiting period. Empathy, measured with the (), was the main variable of interest, analyzed by a repeated measures analysis of variance. In order to also include incomplete data cases, we used the expectation-maximization algorithm for missing data estimation. Results suggest no significant changes in overall empathy between groups. We discuss the results and limitations, as well as future research options.

摘要

本研究考察了舞蹈动作治疗(DMT)对自闭症谱系障碍(ASD)成人患者同理心的影响。基于具身化方法的舞蹈动作治疗提供以身体为中心的干预措施,如镜像技术,以满足ASD患者的需求。因此,一项可行性研究的结果表明,舞蹈动作治疗可能是一种针对ASD谱系患者的有效方法。本研究是一项随机对照试验,作为欧盟资助的研究项目TESIS(迈向主体间性的具身科学)框架内的多中心研究进行,并采用了双因素组间设计。治疗组(n = 35)参与了为期10周的标准化舞蹈动作治疗干预,而对照组(n = 22)仅在等待期后接受治疗。用人际反应指针量表(IRI)测量的同理心是主要的研究变量,通过重复测量方差分析进行分析。为了纳入不完整数据的案例,我们使用期望最大化算法进行缺失数据估计。结果表明,两组之间在总体同理心方面没有显著变化。我们讨论了研究结果和局限性,以及未来的研究方向。

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