Reciprocal effects between negative affect and emotion regulation in daily life.

Journal: Behaviour research and therapy

Volume: 176

Issue: 

Year of Publication: 

Affiliated Institutions:  Department of Psychology, Zhejiang Normal University, Jinhua, , China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, Zhejiang, , China. Electronic address: wxqin_psy@zjnu.edu.cn. Department of Psychology, Zhejiang Normal University, Jinhua, , China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, Zhejiang, , China. School of Psychology, Central China Normal University, Wuhan, , China; Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, , China. Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, , United States. School of Psychology, Central China Normal University, Wuhan, , China; Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, , China; Key Laboratory of Human Development and Mental Health of Hubei Province, Wuhan, , China. Electronic address: yafei.tan@ccnu.edu.cn.

Abstract summary 

The extended process model of emotion regulation provides a framework for understanding how emotional experiences and emotion regulation (ER) mutually influence each other over time. To investigate this reciprocal relationship, 202 adults completed a ten-day experience-sampling survey capturing levels of negative affect (NA) experience and use of ten ER strategies in daily life. Residual dynamic structural equation models (DSEMs) were used to examine within-person cross-lagged and autoregressive effects of NA and ER (strategy use and between-strategy variability). Results showed that NA predicted lower between-strategy variability, lower subsequent use of acceptance and problem-solving, but higher subsequent use of rumination and worry. Moreover, reappraisal and between-strategy variability predicted lower subsequent NA levels, while expressive suppression and worry predicted higher subsequent NA levels. Stable autoregressive effects were found for NA and for maladaptive ER strategies (e.g., rumination and worry). Exploratory correlation analyses revealed positive associations between NA inertia and maladaptive ER strategies. Together, these findings provide evidence of a dynamic interplay between NA and ER. This work deepens how we understand the challenges of applying ER strategies in daily life. Future clinical and translational research should consider these dynamic perspectives on ER and affect.

Authors & Co-authors:  Wang Shao Cai Ma Jia Blain Tan

Study Outcome 

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Statistics
Citations : 
Authors :  7
Identifiers
Doi : 10.1016/j.brat.2024.104518
SSN : 1873-622X
Study Population
Male,Female
Mesh Terms
Other Terms
Between-strategy variability;Dynamic structural equation model;Emotion regulation;Negative affect;Reciprocal relation
Study Design
Study Approach
Country of Study
Publication Country
England