Transference interpretations as predictors of increased insight and affect expression in a single case of long-term psychoanalysis.

IF 1.6 Q3 PSYCHOLOGY, CLINICAL
Yasemin Sohtorik İlkmen, Sibel Halfon
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引用次数: 1

Abstract

Improved insight and affect expression have been associated with specific effects of transference work in psychodynamic psychotherapy. However, the micro-associations between these variables as they occur within the sessions have not been studied. The present study investigated whether the analyst's transference interpretations predicted changes in a patient's insight and emotion expression in her language during the course of a long-term psychoanalysis. 449 thematic units from 30 sessions coming from different years of psychoanalysis were coded by outside raters for analyst's use of transference interpretations using Transference Work Scale, and patient's insight, positive emotions, anger and sadness were calculated using the Linguistic Inquiry and Word Count System. Multilevel modeling analyses indicated that transference interpretations positively predicted patient's insight and positive emotion words and negatively predicted anger and sadness. The qualitative micro-analyses of selected sessions showed that the opportunity to explore negative emotions within the transference relationship reduced the patient's avoidance of such feelings, generated insight into negative relational patterns, and helped form more balanced representations of self and others that allowed for positive feelings. The findings were discussed for clinical implications and future research directions.

移情解释作为长期精神分析个案中增加洞察力和情感表达的预测因子。
改善的洞察力和情感表达与心理动力学心理治疗中移情工作的特定效果有关。然而,尚未研究这些变量在会议期间发生的微观联系。本研究调查了分析师的移情解释是否预测了患者在长期精神分析过程中的洞察力和语言情感表达的变化。来自不同年份的精神分析的30个会议的449个主题单元由外部评分员编码,分析师使用移情工作量表进行移情解释,并使用语言调查和单词计数系统计算患者的洞察力,积极情绪,愤怒和悲伤。多层次模型分析表明,移情解释正向预测患者的洞察力和积极情绪词汇,负向预测患者的愤怒和悲伤。对选定会话的定性微观分析表明,在移情关系中探索消极情绪的机会减少了患者对这种情绪的回避,产生了对消极关系模式的洞察,并有助于形成更平衡的自我和他人的表现,从而允许积极的感受。讨论了研究结果的临床意义和未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.80
自引率
18.50%
发文量
28
审稿时长
10 weeks
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