Cited by 93Bipolar Disorder and TreatmentMental Health Research TopicsPersonality Disorders and Psychopathology

Emotion dynamics concurrently and prospectively predict mood psychopathology

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Sperry, Sarah H., Walsh, Molly A., Kwapil, Thomas R.·2020·Journal of Affective Disorders

Abstract

Introduction Altered emotion dynamics may represent a transdiagnostic risk factor for mood psychopathology. The present study examined whether altered emotion dynamics were associated with bipolar and depressive psychopathology concurrently and at a three-year follow-up.Methods At baseline (n = 138), participants completed diagnostic interviews, questionnaires, and seven days of experience sampling assessments. Four emotion dynamics were computed for negative affect (NA) and positive affect (PA) - within-person variance (variability), mean square of successive differences and probability of acute change (instability), and autocorrelation (inertia). At the three-year follow-up, participants (n = 108) were re-assessed via interviews and questionnaires.Results NA variability was associated with bipolar spectrum disorders at baseline and follow-up. NA instability predicted depressive symptoms and hypomanic personality at baseline, and bipolar spectrum disorders at the follow-up. NA inertia did not predict diagnoses or symptoms at either assessment. PA inertia predicted hyperthymic temperament at baseline but not follow-up. Notably, NA variability and instability predicted the development of new bipolar spectrum disorders at the follow-up.Limitations Consistent with the recruitment strategy and young age of the participants, only 50% had developed diagnosable psychopathology by the time of the follow-up assessment.Conclusions The present study provided a unique demonstration that altered emotion dynamics differentially predicted bipolar and depressive psychopathology concurrently and prospectively. Emotion dynamics are important to both digital phenotyping and mobile-based interventions as emotional instability offers a measurable risk factor that is identifiable prior to illness onset.

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Crossref · 10.1016/j.jad.2019.09.076

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Authors
Sperry, S. H., Walsh, M. A., & Kwapil, T. R.
Affiliations
  • University of Illinois Urbana-Champaign (US)
  • University of North Carolina at Greensboro (US)
Corresponding author
Sperry, Sarah H.
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2020-01
Volume
261
Pages
67-75
ISSN
0165-0327 (ISSN-L)
OpenAlex
W2979167486
Cited by
93
References
68
Citations by year
2026: 9 · 2025: 10 · 2024: 21 · 2023: 20 · 2022: 11 · 2021: 13 · 2020: 9
FWCI
6.56
Type
journal article
Language
en
Open access
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
  • NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro) (submittedVersion)
  • OSF Preprints (OSF Preprints) (submittedVersion)
  • Open Science Framework
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
Keywords
emotional dynamics, negative affect, positive affect, bipolar spectrum disorders, depression, hypomanic personality, hyperthymic temperament, neuroticism, within-person variability, autocorrelation, transdiagnostic risk factors, digital phenotyping, mobile-based interventions, ecological momentary assessment
MeSH terms
Ecological Momentary Assessment, Adolescent, Adult, Affect, Affective Symptoms, Bipolar Disorder, Cyclothymic Disorder, Depression, Emotions, Female, Follow-Up Studies, Humans, Male, Prospective Studies, Psychopathology, Surveys and Questionnaires, Temperament, Time Factors, Young Adult, Interrupted Time Series Analysis

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