Emotion dynamics concurrently and prospectively predict mood psychopathology

Sarah H. Sperry, Molly A. Walsh, Thomas Richard Kwapil

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)67-75
Number of pages9
JournalJournal of Affective Disorders
Volume261
DOIs
StatePublished - Jan 15 2020

Fingerprint

Psychopathology
Emotions
Bipolar Disorder
Interviews
Temperament
Personality
Depression

Keywords

  • Bipolar
  • Depression
  • Emotion dynamics
  • Experience sampling methodology
  • Instability
  • Time series analysis

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

Cite this

Emotion dynamics concurrently and prospectively predict mood psychopathology. / Sperry, Sarah H.; Walsh, Molly A.; Kwapil, Thomas Richard.

In: Journal of Affective Disorders, Vol. 261, 15.01.2020, p. 67-75.

Research output: Contribution to journalArticle

@article{150fae0ece2b40649ce447211c9e8c8d,
title = "Emotion dynamics concurrently and prospectively predict mood psychopathology",
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.",
keywords = "Bipolar, Depression, Emotion dynamics, Experience sampling methodology, Instability, Time series analysis",
author = "Sperry, {Sarah H.} and Walsh, {Molly A.} and Kwapil, {Thomas Richard}",
year = "2020",
month = "1",
day = "15",
doi = "10.1016/j.jad.2019.09.076",
language = "English (US)",
volume = "261",
pages = "67--75",
journal = "Journal of Affective Disorders",
issn = "0165-0327",
publisher = "Elsevier",

}

TY - JOUR

T1 - Emotion dynamics concurrently and prospectively predict mood psychopathology

AU - Sperry, Sarah H.

AU - Walsh, Molly A.

AU - Kwapil, Thomas Richard

PY - 2020/1/15

Y1 - 2020/1/15

N2 - 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.

AB - 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.

KW - Bipolar

KW - Depression

KW - Emotion dynamics

KW - Experience sampling methodology

KW - Instability

KW - Time series analysis

UR - http://www.scopus.com/inward/record.url?scp=85072862638&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85072862638&partnerID=8YFLogxK

U2 - 10.1016/j.jad.2019.09.076

DO - 10.1016/j.jad.2019.09.076

M3 - Article

AN - SCOPUS:85072862638

VL - 261

SP - 67

EP - 75

JO - Journal of Affective Disorders

JF - Journal of Affective Disorders

SN - 0165-0327

ER -