A data-driven typology of emotion regulation profiles.

心理信息 类型学 心理学 分类 认知再评价 心理健康 心理干预 认知心理学 情绪调节 认知 发展心理学 社会心理学 临床心理学 梅德林 心理治疗师 计算机科学 人工智能 精神科 考古 政治学 法学 历史
作者
João F. Guassi Moreira,Razia S. Sahi,Maria D. Calderon Leon,Natalie M. Saragosa‐Harris,Yael Waizman,Anna E. Sedykin,Emilia Ninova,Tara S. Peris,James J. Gross,Jennifer A. Silvers
出处
期刊:Emotion [American Psychological Association]
卷期号:24 (5): 1125-1136 被引量:3
标识
DOI:10.1037/emo0001306
摘要

Typologies serve to organize knowledge and advance theory for many scientific disciplines, including more recently in the social and behavioral sciences. To date, however, no typology exists to categorize an individual's use of emotion regulation strategies. This is surprising given that emotion regulation skills are used daily and that deficits in this area are robustly linked with mental health symptoms. Here, we attempted to identify and validate a working typology of emotion regulation across six samples (collectively comprised of 1,492 participants from multiple populations) by using a combination of computational techniques, psychometric models, and growth curve modeling. We uncovered evidence for three types of regulators: a type that infrequently uses emotion regulation strategies (Lo), a type that uses them frequently but indiscriminately (Hi), and a third type that selectively uses some (cognitive reappraisal and situation selection), but not other (expressive suppression), emotion regulation strategies frequently (Mix). Results showed that membership in the Hi and Mix types is associated with better mental health, with the Mix type being the most adaptive of the three. These differences were stable over time and across different samples. These results carry important implications for both our basic understanding of emotion regulation behavior and for informing future interventions aimed at improving mental health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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