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Emotion dynamics in current and remitted depression: an ecological momentary assessment study

Published online by Cambridge University Press:  04 March 2024

Mariah T. Hawes Open the ORCID record for Mariah T. Hawes [Opens in a new window]  and
Daniel N. Klein
Mariah T. Hawes*
Affiliation:
Department of Psychology, Stony Brook University, Stony Brook, NY 11794, USA
Daniel N. Klein
Affiliation:
Department of Psychology, Stony Brook University, Stony Brook, NY 11794, USA
*
Corresponding author: Mariah T. Hawes; Email: hawes2mt@gmail.com
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Abstract

Background

Individuals in a depressive episode and healthy controls exhibit robust differences on affect dynamics captured with ecological momentary assessment (EMA). However, few studies have explored affect dynamics in individuals in remission from depression, and results have been mixed.

Methods

A community sample of 18-year-olds (N = 345) completed diagnostic interviews and EMA probing emotions and low interest/motivation 5× daily for 2 weeks. Affect home base, variability, and inertia were compared across currently depressed, remitted, and never-depressed groups.

Results

Both depression groups had a higher negative affect (NA) and low interest/motivation home base, lower positive affect (PA) home base, greater variability of NA, PA, and low interest/motivation, and greater NA and low interest/motivation inertia than never-depressed participants. Additionally, the currently depressed group had a higher sad home base specifically, greater variability across most negative emotions and low interest/motivation, and greater low interest/motivation inertia than the remitted group. The currently depressed and remitted groups did not differ in anxious, upset, or PA home base, anxious or PA variability, and inertia of all negative emotions and PA.

Conclusions

Findings suggest that a number of abnormalities in emotion and reward functioning persist after a depressive episode resolves, however, the tendency to experience higher levels of sadness, greater range of a variety of negative emotions, and more variable and persistent low interest/motivation are exacerbated during depressive episodes. Conversely, greater intensity and persistence of some negative emotions (anxiety, upset) and blunted positive emotions appear to equally characterize depression in both the symptomatic and remitted state.

Keywords

depressionemotion dynamicsexperience samplingremission
Type
Original Article
Information
Psychological Medicine , First View , pp. 1 - 8
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Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

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References

Abdi, H. (2010). Holm's sequential Bonferroni procedure. Encyclopedia of Research Design, 1(8), 1–8.Google Scholar
Altaweel, N., Upthegrove, R., Surtees, A., Durdurak, B., & Marwaha, S. (2023). Personality traits as risk factors for relapse or recurrence in major depression: A systematic review. Frontiers in Psychiatry, 14, 709.CrossRefGoogle ScholarPubMed
American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). Washington, DC: American Psychiatric Publishing.Google Scholar
Axelson, D., Birmaher, B., Zelazny, J., Kaufman, J., & Gill, M. (2009). The schedule for affective disorders and schizophrenia-present and lifetime version (K-SADS-PL) 2009 working draft. Advanced Centre for Intervention and Services Research, Western Psychiatric Institute and Clinics. Retrieved from http://www.psychiatry.pitt.edu/research/toolsresearch/ksads-pl-2009working-draftGoogle Scholar
Barge-Schaapveld, D., & Nicolson, N. A. (2002). Effects of antidepressant treatment on the quality of daily life: An experience sampling study. Journal of Clinical Psychiatry, 63(6), 477–485.CrossRefGoogle ScholarPubMed
Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. doi: 10.18637/jss.v067.i01CrossRefGoogle Scholar
Block, J. H., Gjerde, P. F., & Block, J. H. (1991). Personality antecedents of depressive tendencies in 18-year-olds: A prospective study. Journal of Personality and Social Psychology, 60(5), 726.CrossRefGoogle ScholarPubMed
Bosley, H. G., Soyster, P. D., & Fisher, A. J. (2019). Affect dynamics as predictors of symptom severity and treatment response in mood and anxiety disorders: Evidence for specificity. Journal for Person-Oriented Research, 5(2), 101.CrossRefGoogle ScholarPubMed
Bress, J. N., Foti, D., Kotov, R., Klein, D. N., & Hajcak, G. (2013). Blunted neural response to rewards prospectively predicts depression in adolescent girls. Psychophysiology, 50(1), 74–81.CrossRefGoogle ScholarPubMed
Craske, M. G., Meuret, A. E., Ritz, T., Treanor, M., Dour, H., & Rosenfield, D. (2019). Positive affect treatment for depression and anxiety: A randomized clinical trial for a core feature of anhedonia. Journal of consulting and clinical psychology, 87(5), 457.CrossRefGoogle ScholarPubMed
Cuijpers, P., Van Straten, A., & Warmerdam, L. (2007). Behavioral activation treatments of depression: A meta-analysis. Clinical Psychology Review, 27(3), 318–326.CrossRefGoogle ScholarPubMed
Egger, H. L., Erkanli, A., Keeler, G., Potts, E., Walter, B. K., & Angold, A. (2006). Test-retest reliability of the preschool age psychiatric assessment (PAPA). Journal of the American Academy of Child & Adolescent Psychiatry, 45(5), 538–549.CrossRefGoogle ScholarPubMed
Funkhouser, C. J., Kaiser, A. J., Alqueza, K. L., Carrillo, V. L., Hoffman, L. M., Nabb, C. B., … Shankman, S. A. (2021). Depression risk factors and affect dynamics: An experience sampling study. Journal of psychiatric research, 135, 68–75.CrossRefGoogle ScholarPubMed
Goldstein, B. L., Kotov, R., Perlman, G., Watson, D., & Klein, D. N. (2018). Trait and facet-level predictors of first-onset depressive and anxiety disorders in a community sample of adolescent girls. Psychological Medicine, 48(8), 1282–1290.CrossRefGoogle Scholar
Hamaker, E. L., & Grasman, R. P. (2015). To center or not to center? Investigating inertia with a multilevel autoregressive model. Frontiers in Psychology, 5, 1492.CrossRefGoogle ScholarPubMed
Hankin, B. L., Wetter, E. K., & Flory, K. (2012). Appetitive motivation and negative emotion reactivity among remitted depressed youth. Journal of Clinical Child & Adolescent Psychology, 41(5), 611–620.CrossRefGoogle ScholarPubMed
Hawes, M. T., Olino, T. M., & Klein, D. N. (2023). Do state and trait affect measures retain their measurement properties during a disaster? An investigation of measurement invariance during the COVID-19 pandemic. Journal of Personality Assessment, 105(1), 134–142.CrossRefGoogle ScholarPubMed
Helmich, M. A., Wichers, M., Peeters, F., & Snippe, E. (2022). Daily dynamics of negative affect: Indicators of rate of response to treatment and remission from depression? Cognition and Emotion, 36(8), 1594–1604.CrossRefGoogle ScholarPubMed
Houben, M., Van Den Noortgate, W., & Kuppens, P. (2015). The relation between short-term emotion dynamics and psychological well-being: A meta-analysis. Psychological bulletin, 141(4), 901.CrossRefGoogle ScholarPubMed
Jahng, S., Wood, P. K., & Trull, T. J. (2008). Analysis of affective instability in ecological momentary assessment: Indices using successive difference and group comparison via multilevel modeling. Psychological Methods, 13(4), 354.CrossRefGoogle ScholarPubMed
Klein, D. N., & Finsaas, M. C. (2017). The stony brook temperament study: Early antecedents and pathways to emotional disorders. Child Development Perspectives, 11(4), 257–263.CrossRefGoogle Scholar
Kotov, R., Gamez, W., Schmidt, F., & Watson, D. (2010). Linking “big” personality traits to anxiety, depressive, and substance use disorders: A meta-analysis. Psychological bulletin, 136(5), 768.CrossRefGoogle ScholarPubMed
Koval, P., Kuppens, P., Allen, N. B., & Sheeber, L. (2012). Getting stuck in depression: The roles of rumination and emotional inertia. Cognition & emotion, 26(8), 1412–1427.CrossRefGoogle ScholarPubMed
Krueger, R. F. (1999). Personality traits in late adolescence predict mental disorders in early adulthood: A perspective-epidemiological study. Journal of personality, 67(1), 39–65.CrossRefGoogle ScholarPubMed
Kuppens, P., Oravecz, Z., & Tuerlinckx, F. (2010). Feelings change: Accounting for individual differences in the temporal dynamics of affect. Journal of Personality and Social Psychology, 99(6), 1042.CrossRefGoogle ScholarPubMed
Kuppens, P., & Verduyn, P. (2015). Looking at emotion regulation through the window of emotion dynamics. Psychological Inquiry, 26(1), 72–79.CrossRefGoogle Scholar
Mader, N., Arslan, R. C., Schmukle, S. C., & Rohrer, J. M. (2023). Emotional (in) stability: Neuroticism is associated with increased variability in negative emotion after all. Proceedings of the National Academy of Sciences, 120(23), e2212154120.CrossRefGoogle Scholar
Pechtel, P., Dutra, S. J., Goetz, E. L., & Pizzagalli, D. A. (2013). Blunted reward responsiveness in remitted depression. Journal of psychiatric research, 47(12), 1864–1869.CrossRefGoogle ScholarPubMed
R Core Team. (2023). R: A language and environment for statistical computing., Vienna, Austria: R Foundation for Statistical Computing. URL https://www.R-project.org/Google Scholar
Ringwald, W. R., & Wright, A. G. (2022). Overcoming the confound of means and variability for measuring everyday emotion dynamics related to neuroticism. PsyArXiv. https://doi.org/10.31234/osf.io/nxbydGoogle Scholar
Salk, R. H., Hyde, J. S., & Abramson, L. Y. (2017). Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms. Psychological Bulletin, 143(8), 783.CrossRefGoogle ScholarPubMed
Scheffer, M., Bolhuis, J. E., Borsboom, D., Buchman, T. G., Gijzel, S. M., Goulson, D., … Levin, S. (2018). Quantifying resilience of humans and other animals. Proceedings of the National Academy of Sciences, 115(47), 11883–11890.CrossRefGoogle ScholarPubMed
Schoevers, R., van Borkulo, C., Lamers, F., Servaas, M., Bastiaansen, J., Beekman, A., … Riese, H. (2021). Affect fluctuations examined with ecological momentary assessment in patients with current or remitted depression and anxiety disorders. Psychological Medicine, 51(11), 1906–1915.CrossRefGoogle ScholarPubMed
Servaas, M. N., Riese, H., Renken, R. J., Wichers, M., Bastiaansen, J. A., Figueroa, C. A., … Marsman, J.-B. C. (2017). Associations between daily affective instability and connectomics in functional subnetworks in remitted patients with recurrent major depressive disorder. Neuropsychopharmacology, 42(13), 2583–2592.CrossRefGoogle ScholarPubMed
Thompson, R. J., Bailen, N. H., & English, T. (2021). Everyday emotional experiences in current and remitted major depressive disorder: An experience-sampling study. Clinical Psychological Science, 9(5), 866–878.CrossRefGoogle Scholar
Treadway, M. T., & Zald, D. H. (2011). Reconsidering anhedonia in depression: Lessons from translational neuroscience. Neuroscience & Biobehavioral Reviews, 35(3), 537–555.CrossRefGoogle ScholarPubMed
van de Leemput, I. A., Wichers, M., Cramer, A. O., Borsboom, D., Tuerlinckx, F., Kuppens, P., … Aggen, S. H. (2014). Critical slowing down as early warning for the onset and termination of depression. Proceedings of the National Academy of Sciences, 111(1), 87–92.CrossRefGoogle ScholarPubMed
Viechtbauer, W., & Constantin, M. (2019). esmpack: Functions that Facilitate Preparation and Management of ESM/EMA Data. R package version 0.1–17.Google Scholar
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063.CrossRefGoogle ScholarPubMed
Wichers, M., Peeters, F., Rutten, B. P., Jacobs, N., Derom, C., Thiery, E., … van Os, J. (2012). A time-lagged momentary assessment study on daily life physical activity and affect. Health Psychology, 31(2), 135.CrossRefGoogle Scholar
Wichers, M., Wigman, J., & Myin-Germeys, I. (2015). Micro-level affect dynamics in psychopathology viewed from complex dynamical system theory. Emotion Review, 7(4), 362–367.CrossRefGoogle Scholar
Wu, H., Mata, J., Furman, D. J., Whitmer, A. J., Gotlib, I. H., & Thompson, R. J. (2017). Anticipatory and consummatory pleasure and displeasure in major depressive disorder: An experience sampling study. Journal of Abnormal Psychology, 126(2), 149.CrossRefGoogle ScholarPubMed
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