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寻求治疗适应不良愤怒的个体的愤怒特征:与情绪调节的关联。

Anger profiles among individuals seeking treatment for maladaptive anger: Associations with emotion regulation.

机构信息

School of Law, Psychology and Social Work, Örebro University, Örebro, Sweden.

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.

出版信息

Clin Psychol Psychother. 2023 May-Jun;30(3):599-610. doi: 10.1002/cpp.2821. Epub 2023 Jan 15.

DOI:10.1002/cpp.2821
PMID:36607221
Abstract

Individuals who experience problems with anger represent a heterogeneous group. Identifying clinically relevant subtypes of anger may advance treatment research. In the current study, latent profile analysis (LPA) was conducted to explore if distinct subtypes of anger could be identified within a sample of individuals seeking treatment for maladaptive anger (N = 538; 55.4% females; mean age = 39.78, SD = 12.28). Furthermore, the utility of the empirical classification was examined based on differences in usage of emotion regulation strategies (cognitive reappraisal, expressive suppression, mindful emotion awareness and relaxation) across subtypes. Four anger profiles were identified in the best-fitted LPA model: Low Anger (n = 153, 28.4%), Anger In (n = 91, 16.9%), Moderate Anger (n = 193, 35.9%) and High Anger (n = 101, 35.5%). Results from the multinominal regression revealed that the use of emotion regulation differed across all profiles. Participants from the High Anger and Anger In profiles exhibited distinct patterns of dysfunctional emotion regulation. The results add to the increasing amount of evidence demonstrating a link between emotion regulation strategies and maladaptive anger. Clinical implications on how to tailor treatments for individuals with maladaptive anger are discussed.

摘要

个体在愤怒方面出现问题,代表了一个异质群体。识别临床上相关的愤怒亚类,可能有助于推进愤怒治疗的研究。在当前的研究中,采用潜在剖面分析(LPA),旨在探讨寻求病理性愤怒治疗的个体样本中(N=538;55.4%为女性;平均年龄=39.78,标准差=12.28),是否可以识别出不同的愤怒亚类。此外,还基于亚类之间情绪调节策略(认知重评、表达抑制、正念情绪意识和放松)的使用差异,检验了经验分类的有效性。在最佳拟合的 LPA 模型中,确定了四种愤怒特征:低愤怒(n=153,占 28.4%)、愤怒内摄(n=91,占 16.9%)、中等愤怒(n=193,占 35.9%)和高愤怒(n=101,占 35.5%)。多分类回归的结果表明,情绪调节在所有特征中存在差异。高愤怒和愤怒内摄特征的参与者表现出不同的情绪调节失调模式。结果增加了越来越多的证据,证明情绪调节策略与病理性愤怒之间存在关联。本文讨论了如何针对病理性愤怒个体定制治疗的临床意义。

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