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Psychophysiological Assessment of the Effectiveness of Emotion Regulation Strategies in Childhood
Published on: February 11, 2017
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Emotion dynamics concurrently and prospectively predict mood psychopathology
Sarah H Sperry1, Molly A Walsh2, Thomas R Kwapil3
1University of Illinois, Urbana-Champaign, IL, United States.
Journal of Affective Disorders
|October 11, 2019
Summary
Altered emotion dynamics, specifically negative affect variability and instability, predict bipolar and depressive disorders. These measurable emotional changes can be identified before illness onset, aiding early intervention.
Area of Science:
- Psychiatry and Psychology
- Computational Psychiatry
- Digital Phenotyping
Background:
- Altered emotion dynamics are a potential transdiagnostic risk factor for mood disorders.
- Understanding these dynamics may offer insights into the development and prediction of psychopathology.
Purpose of the Study:
- To investigate the association between emotion dynamics and bipolar and depressive psychopathology.
- To examine the predictive value of emotion dynamics for mood disorders concurrently and over a three-year follow-up period.
Main Methods:
- Utilized experience sampling and diagnostic interviews with 138 participants at baseline.
- Calculated four emotion dynamics for negative affect (NA) and positive affect (PA): variability, instability, and inertia.
- Re-assessed 108 participants at a three-year follow-up.
Main Results:
- Negative affect (NA) variability correlated with bipolar disorders at baseline and follow-up.
- NA instability predicted depressive symptoms and bipolar disorders prospectively.
- NA variability and instability predicted the development of new bipolar spectrum disorders.
Conclusions:
- Altered emotion dynamics, particularly NA instability, are significant predictors of bipolar and depressive psychopathology.
- Emotion dynamics serve as a measurable risk factor, valuable for digital phenotyping and early mobile-based interventions.
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