Literature DB >> 30714776

Mix it to fix it: Emotion regulation variability in daily life.

Elisabeth S Blanke1, Annette Brose1, Elise K Kalokerinos2, Yasemin Erbas3, Michaela Riediger4, Peter Kuppens3.   

Abstract

Emotion regulation (ER) strategies are often categorized as universally adaptive or maladaptive. However, it has recently been proposed that this view is overly simplistic: instead, adaptive ER involves applying strategies variably to meet contextual demands. Using data from four experience-sampling studies (Ns = 70, 95, 200, and 179), we tested the relationship between ER variability and negative affect (NA) in everyday life. The constantly changing demands of daily life provide a more ecologically valid context in which to test the role of variability. We calculated 2 global indicators of variability: within-strategy variability (of particular strategies across time) and between-strategy variability (across strategies at one time-point). Associations between within-strategy variability and NA were inconsistent. In contrast, when controlling for mean strategy endorsement, between-strategy variability was associated with reduced NA across both individuals and measurement occasions. This is the first evidence that variably choosing between different strategies within a situation may be adaptive in daily life. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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Year:  2019        PMID: 30714776     DOI: 10.1037/emo0000566

Source DB:  PubMed          Journal:  Emotion        ISSN: 1528-3542


  13 in total

1.  Age differences in emotion regulation strategy use, variability, and flexibility: An experience sampling approach.

Authors:  Lizbeth Benson; Tammy English; David E Conroy; Aaron L Pincus; Denis Gerstorf; Nilam Ram
Journal:  Dev Psychol       Date:  2019-09

2.  Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review.

Authors:  Alexandra H Bettis; Taylor A Burke; Jacqueline Nesi; Richard T Liu
Journal:  Clin Psychol Sci       Date:  2021-06-03

Review 3.  The Emotion Dynamics Conundrum in Developmental Psychopathology: Similarities, Distinctions, and Adaptiveness of Affective Variability and Socioaffective Flexibility.

Authors:  Kirsten M P McKone; Jennifer S Silk
Journal:  Clin Child Fam Psychol Rev       Date:  2022-02-08

4.  A domain-differentiated approach to everyday emotion regulation from adolescence to older age.

Authors:  Jennifer A Bellingtier; Gloria Luong; Cornelia Wrzus; Gert G Wagner; Michaela Riediger
Journal:  Psychol Aging       Date:  2022-01-27

5.  The Longitudinal Relationship Between Emotion Regulation and Pain-Related Outcomes: Results From a Large, Online Prospective Study.

Authors:  Rachel V Aaron; Chung Jung Mun; Lakeya S McGill; Patrick H Finan; Claudia M Campbell
Journal:  J Pain       Date:  2021-12-31       Impact factor: 5.383

6.  Regulating Road Rage.

Authors:  Johan Bjureberg; James J Gross
Journal:  Soc Personal Psychol Compass       Date:  2021-02-05

7.  Anxiety, not regulation tendency, predicts how individuals regulate in the laboratory: An exploratory comparison of self-report and psychophysiology.

Authors:  Daisy A Burr; Rachel G Pizzie; David J M Kraemer
Journal:  PLoS One       Date:  2021-03-12       Impact factor: 3.240

8.  Emotion regulation in times of COVID-19: A person-centered approach based on self-determination theory.

Authors:  Joachim Waterschoot; Sofie Morbée; Branko Vermote; Katrijn Brenning; Nele Flamant; Maarten Vansteenkiste; Bart Soenens
Journal:  Curr Psychol       Date:  2022-01-13

9.  When and How to Regulate: Everyday Emotion-Regulation Strategy Use and Stressor Intensity.

Authors:  Elisabeth S Blanke; Jennifer A Bellingtier; Michaela Riediger; Annette Brose
Journal:  Affect Sci       Date:  2021-12-10

10.  Direct and Stress-Buffering Effects of COVID-19-Related Changes in Exercise Activity on the Well-Being of German Sport Students.

Authors:  Laura Giessing; Julia Kannen; Jana Strahler; Marie Ottilie Frenkel
Journal:  Int J Environ Res Public Health       Date:  2021-07-02       Impact factor: 3.390

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