Suppr超能文献

完美主义担忧中的偏见解释:一项实验研究。

Biased interpretation in perfectionistic concerns: an experimental investigation.

机构信息

a School of Psychology , Curtin University , Perth , Australia.

b Centre for Clinical Interventions , Perth , Australia.

出版信息

Anxiety Stress Coping. 2019 May;32(3):259-269. doi: 10.1080/10615806.2019.1586888. Epub 2019 Mar 7.

Abstract

BACKGROUND AND OBJECTIVES

Perfectionism is associated with the development and maintenance of several disorders. Given the importance of perfectionism understanding the biased information processes that underpin it is critical. The present study tested the hypothesis that heightened concern over mistakes subscale scores of the Frost Multidimensional Perfectionism Scale are characterized by a tendency to impose emotionally negative interpretations on perfectionism-relevant situations.

METHOD AND DESIGN

Seventy-six non-clinical, general population participants' were presented with interpretations of scenarios where a protagonist was described as achieving well above what was required, but fell short of their own high standard. Using a within-subjects, quasi-experimental design, we assessed interpretations of these scenarios by examining the degree to which participants rated test sentences as being likely implications of the original scenarios.

RESULTS

A generalized linear mixed model revealed higher concern over mistakes scores were associated with an increased tendency to rate negative target test sentences as being similar to the original perfectionism-relevant scenarios, and a reduced tendency to rate positive target test sentences as being similar to these original scenarios.

CONCLUSIONS

The findings provide support for the cognitive-behavioral model of perfectionism. These findings support the inclusion of strategies in cognitive-behavioral treatment of perfectionism to reduce interpretation bias.

摘要

背景和目的

完美主义与多种障碍的发展和维持有关。鉴于完美主义的重要性,理解支撑它的有偏差的信息处理过程至关重要。本研究检验了以下假设,即 Frost 多维完美主义量表中对错误的过分关注子量表得分的特点是倾向于对与完美主义相关的情况进行情感上的负面解释。

方法和设计

76 名非临床、普通人群参与者被呈现了一些场景的解释,其中一个主角被描述为远远超出了要求,但未能达到自己的高标准。使用基于参与者的准实验设计,我们通过检查参与者对测试句子的评分程度来评估对这些场景的解释,以确定这些句子是否为原始场景的可能含义。

结果

广义线性混合模型显示,对错误的过分关注得分较高与增加将负面目标测试句子评定为与原始完美主义相关场景相似的倾向以及减少将正面目标测试句子评定为与这些原始场景相似的倾向有关。

结论

这些发现为完美主义的认知行为模型提供了支持。这些发现支持在认知行为治疗完美主义中纳入策略,以减少解释偏差。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验