Literature DB >> 30321767

Effect of self-monitoring through experience sampling on emotion differentiation in depression.

Raf L A Widdershoven1, Marieke Wichers2, Peter Kuppens3, Jessica A Hartmann4, Claudia Menne-Lothmann5, Claudia J P Simons6, Jojanneke A Bastiaansen7.   

Abstract

BACKGROUND: Major depressive disorder has been linked to an inability to differentiate between negative emotions. The current study investigates whether emotion differentiation improves when individuals with major depressive disorder are required to report on specific emotions multiple times a day through the experience sampling method (ESM) - a structured self-report diary technique.
METHODS: Seventy-nine patients diagnosed with major depressive disorder participated in this study, of whom 55 used ESM for 6 weeks (3 days a week, 10 times a day). Changes from baseline to post assessment in positive and negative emotion differentiation were compared between the participants who did and those who did not use ESM.
RESULTS: Engaging in ESM related to an improvement in both positive and negative emotion differentiation, but only the latter reached statistical significance. The relationship between the number of ESM measurements (dose) and emotion differentiation change (response) was not significant. LIMITATIONS: The sample size for the dose-response analysis was relatively small (N = 55). It is unknown whether emotion differentiation improvements generalize beyond the emotions (N = 12) we probed in this study. Other factors could also have contributed to the change (e.g., meetings with the researchers).
CONCLUSIONS: The present study suggests that patients with depression using ESM for 3 days a week for 6 weeks can improve their negative emotion differentiation. Future studies should assess after what period of ESM changes in emotion differentiation become apparent, and whether these changes are persistent and relate to actual improvement in depressive symptoms.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Depression; Emotion; Emotion differentiation; Experience sampling

Mesh:

Year:  2018        PMID: 30321767     DOI: 10.1016/j.jad.2018.10.092

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  7 in total

1.  Context-aware experience sampling reveals the scale of variation in affective experience.

Authors:  Katie Hoemann; Zulqarnain Khan; Mallory J Feldman; Catie Nielson; Madeleine Devlin; Jennifer Dy; Lisa Feldman Barrett; Jolie B Wormwood; Karen S Quigley
Journal:  Sci Rep       Date:  2020-07-27       Impact factor: 4.379

2.  Classification of 74 facial emoji's emotional states on the valence-arousal axes.

Authors:  Gaku Kutsuzawa; Hiroyuki Umemura; Koichiro Eto; Yoshiyuki Kobayashi
Journal:  Sci Rep       Date:  2022-01-27       Impact factor: 4.379

3.  A Smartphone Serious Game for Adolescents (Grow It! App): Development, Feasibility, and Acceptance Study.

Authors:  Evelien Dietvorst; Michelle A Aukes; Jeroen S Legerstee; Annabel Vreeker; Micah M Hrehovcsik; Loes Keijsers; Manon H J Hillegers
Journal:  JMIR Form Res       Date:  2022-03-03

4.  A Web-Based Application for Personalized Ecological Momentary Assessment in Psychiatric Care: User-Centered Development of the PETRA Application.

Authors:  Fionneke M Bos; Lino von Klipstein; Ando C Emerencia; Erwin Veermans; Tom Verhage; Evelien Snippe; Bennard Doornbos; Grietje Hadders-Prins; Marieke Wichers; Harriëtte Riese
Journal:  JMIR Ment Health       Date:  2022-08-09

5.  Idiographic analyses of motivation and related processes in participants with schizophrenia following a therapeutic intervention for negative symptoms.

Authors:  Bénédicte Thonon; Evelyne Van Aubel; Ginette Lafit; Clara Della Libera; Frank Larøi
Journal:  BMC Psychiatry       Date:  2020-09-25       Impact factor: 3.630

Review 6.  A Review of Explicit and Implicit Assumptions When Providing Personalized Feedback Based on Self-Report EMA Data.

Authors:  IJsbrand Leertouwer; Angélique O J Cramer; Jeroen K Vermunt; Noémi K Schuurman
Journal:  Front Psychol       Date:  2021-12-08

7.  ESMvis: a tool for visualizing individual Experience Sampling Method (ESM) data.

Authors:  Laura F Bringmann; Date C van der Veen; Marieke Wichers; Harriëtte Riese; Gert Stulp
Journal:  Qual Life Res       Date:  2020-11-22       Impact factor: 4.147

  7 in total

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