Unveiling patterns of affective responses in daily life may improve outcome prediction in depression: A momentary assessment study

M. Wichers*, F. Peeters, N. Geschwind, N. Jacobs, C. J. P. Simons, C. Derom, E. Thiery, P. H. Delespaul, J. van Os

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

110 Citations (Scopus)

Abstract

Objective: Daily life affective responses are closely linked to vulnerability and resilience in depression. Prediction of future clinical course may be improved if information on daily life emotional response patterns is taken into account.

Method: Female subjects with a history of major depression (n = 83), recruited from a population twin register, participated in a longitudinal study using momentary assessment technology with 4 follow-up measurements. The effect of baseline daily life emotional response patterns (affect variability, stress-sensitivity and reward experience) on follow-up depressive symptomatology was examined.

Results: Both reward experience (B = -0.30, p = 0.001) and negative affect variability (B = 0.46, p = 0.001) predicted future negative affective symptoms independent of all other dynamic emotional patterns and conventional predictors.

Conclusion: Daily life information on dynamic emotional patterns adds to the prediction of future clinical course, independent of severity of symptoms and neuroticism score. Better prediction of course may improve decision-making regarding quantitative and qualitative aspects of treatment. (C) 2009 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)191-195
Number of pages5
JournalJournal of Affective Disorders
Volume124
Issue number1-2
DOIs
Publication statusPublished - Jul-2010
Externally publishedYes

Keywords

  • Depression
  • Recurrence
  • Positive emotions
  • Resilience
  • Daily life affective responses
  • STRESS-SENSITIVITY
  • RANDOMIZED-TRIALS
  • POSITIVE EMOTIONS
  • BIPOLAR DISORDERS
  • GENETIC RISK
  • RECURRENCE
  • PERSPECTIVE
  • EXPERIENCE
  • VARIABLES
  • EPISODES

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