Literature DB >> 23914765

Affect dynamics in relation to depressive symptoms: variable, unstable or inert?

Peter Koval1, Madeline L Pe, Kristof Meers, Peter Kuppens.   

Abstract

Depression not only involves disturbances in prevailing affect, but also in how affect fluctuates over time. Yet, precisely which patterns of affect dynamics are associated with depressive symptoms remains unclear; depression has been linked with increased affective variability and instability, but also with greater resistance to affective change (inertia). In this paper, we argue that these paradoxical findings stem from a number of neglected methodological/analytical factors, which we address using a novel paradigm and analytic approach. Participants (N = 99), preselected to represent a wide range of depressive symptoms, watched a series of emotional film clips and rated their affect at baseline and following each film clip. We also assessed participants' affect in daily life over 1 week using experience sampling. When controlling for overlap between different measures of affect dynamics, depressive symptoms were independently associated with higher inertia of negative affect in the lab, and with greater negative affect variability both in the lab and in daily life. In contrast, depressive symptoms were not independently related to higher affective instability either in daily life or in the lab.

Entities:  

Mesh:

Year:  2013        PMID: 23914765     DOI: 10.1037/a0033579

Source DB:  PubMed          Journal:  Emotion        ISSN: 1528-3542


  36 in total

Review 1.  Using ambulatory assessment to measure dynamic risk processes in affective disorders.

Authors:  Jonathan P Stange; Evan M Kleiman; Robin J Mermelstein; Timothy J Trull
Journal:  J Affect Disord       Date:  2019-08-19       Impact factor: 4.839

2.  Complex affect dynamics add limited information to the prediction of psychological well-being.

Authors:  Egon Dejonckheere; Merijn Mestdagh; Marlies Houben; Isa Rutten; Laura Sels; Peter Kuppens; Francis Tuerlinckx
Journal:  Nat Hum Behav       Date:  2019-04-15

Review 3.  Fragile and Enduring Positive Affect: Implications for Adaptive Aging.

Authors:  Anthony D Ong; Nilam Ram
Journal:  Gerontology       Date:  2016-12-15       Impact factor: 5.140

4.  Effects of alcohol, rumination, and gender on the time course of negative affect.

Authors:  Jeffrey S Simons; Noah N Emery; Raluca M Simons; Thomas A Wills; Michael K Webb
Journal:  Cogn Emot       Date:  2016-09-09

5.  Using free association networks to extract characteristic patterns of affect dynamics.

Authors:  Yaniv Dover; Zohar Moore
Journal:  Proc Math Phys Eng Sci       Date:  2020-04-15       Impact factor: 2.704

6.  Interpersonal problems and negative affect in Borderline Personality and Depressive Disorders in daily life.

Authors:  Johanna Hepp; Sean P Lane; Ryan W Carpenter; Inga Niedtfeld; Whitney C Brown; Timothy J Trull
Journal:  Clin Psychol Sci       Date:  2017-02-13

7.  Differentiating the everyday emotion dynamics of borderline personality disorder from major depressive disorder and bipolar disorder.

Authors:  Malek Mneimne; William Fleeson; Elizabeth Mayfield Arnold; R Michael Furr
Journal:  Personal Disord       Date:  2017-05-29

8.  Comparing Signal-Contingent and Event-Contingent Experience Sampling Ratings of Affect in a Sample of Psychotherapy Outpatients.

Authors:  Sindes Dawood; Michael N Hallquist; Aaron L Pincus; Nilam Ram; Michelle G Newman; Stephen J Wilson; Kenneth N Levy
Journal:  J Psychopathol Behav Assess       Date:  2019-11-27

Review 9.  Dyadic Affective Flexibility and Emotional Inertia in Relation to Youth Psychopathology: An Integrated Model at Two Timescales.

Authors:  Kathryn J Mancini; Aaron M Luebbe
Journal:  Clin Child Fam Psychol Rev       Date:  2016-06

10.  Affective Dynamics in Psychopathology.

Authors:  Timothy J Trull; Sean P Lane; Peter Koval; Ulrich W Ebner-Priemer
Journal:  Emot Rev       Date:  2015-07-09
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