Emotion dynamics concurrently and prospectively predict mood psychopathology
Open accessAbstract
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.
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The dynamics of affective states are of interest to predict mood or sleep disorders, especially during pregnancy.
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From Acceptance Mindfulness-Trait as a Protective Factor for Post-Natal Depression: A Preliminary Research (2022) · cites this paper as [19]
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,841 · see citing works
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032 · see citing works
Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., Brown, T. A., Carpenter, W. T., Caspi, A., Clark, L. A., et al. (2017) · Journal of Abnormal Psychology · doi:10.1037/abn0000258 · Cited by 3,335 · see citing works
Frijda, N. H. (1988) · American Psychologist · doi:10.1037//0003-066x.43.5.349 · Cited by 2,611 · see citing works
Positive and negative affectivity and their relation to anxiety and depressive disorders.
Watson, D., Clark, L. A., & Carey, G. (1988) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.97.3.346 · Cited by 1,795 · see citing works
Reliability estimation in a multilevel confirmatory factor analysis framework.
Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2013) · Psychological Methods · doi:10.1037/a0032138 · Cited by 1,517 · see citing works
On the bipolarity of positive and negative affect.
Russell, J. A., & Carroll, J. M. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.1.3 · Cited by 1,481 · see citing works
The dynamic architecture of emotion: Evidence for the component process model
Scherer, K. R. (2009) · Cognition & Emotion · doi:10.1080/02699930902928969 · Cited by 1,403 · see citing works
The relation between short-term emotion dynamics and psychological well-being: A meta-analysis.
Houben, M., Van Den Noortgate, W., & Kuppens, P. (2015) · Psychological Bulletin · doi:10.1037/a0038822 · Cited by 1,043 · see citing works
Critical slowing down as early warning for the onset and termination of depression
van de Leemput, I. A., Wichers, M., Cramer, A. O. J., Borsboom, D., Tuerlinckx, F., Kuppens, P., van Nes, E. H., Viechtbauer, W., Giltay, E. J., Aggen, S. H., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312114110 · Cited by 773 · see citing works
Emotional Inertia and Psychological Maladjustment
Kuppens, P., Allen, N. B., & Sheeber, L. (2010) · Psychological Science · doi:10.1177/0956797610372634 · Cited by 729 · see citing works
Bridging emotion theory and neurobiology through dynamic systems modeling
Lewis, M. D. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0500004x · Cited by 618 · see citing works
Jahng, S., Wood, P. K., & Trull, T. J. (2008) · Psychological Methods · doi:10.1037/a0014173 · Cited by 593 · see citing works
Intraindividual variability in affect: Reliability, validity, and personality correlates.
Eid, M., & Diener, E. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.76.4.662 · Cited by 571 · see citing works
Development and validation of a scale for hypomanic personality.
Eckblad, M., & Chapman, L. J. (1986) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.95.3.214 · Cited by 479 · see citing works
A hierarchical causal taxonomy of psychopathology across the life span.
Lahey, B. B., Krueger, R. F., Rathouz, P. J., Waldman, I. D., & Zald, D. H. (2017) · Psychological Bulletin · doi:10.1037/bul0000069 · Cited by 443 · see citing works
Complex affect dynamics add limited information to the prediction of psychological well-being.
Dejonckheere, E., Mestdagh, M., Houben, M., Rutten, I., Sels, L., Kuppens, P., & Tuerlinckx, F. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0555-0 · Cited by 431 · see citing works
Akiskal, H. S., Mendlowicz, M. V., Jean‐Louis, G., Rapaport, M. H., Kelsoe, J. R., Gillin, J. C., & Smith, T. L. (2004) · Journal of Affective Disorders · doi:10.1016/j.jad.2003.10.012 · Cited by 425 · see citing works
The Perils of Partialling: Cautionary Tales from Aggression and Psychopathy
Lynam, D. R., Hoyle, R. H., & Newman, J. P. (2006) · Assessment · doi:10.1177/1073191106290562 · Cited by 402 · see citing works
Development and validation of a scale for hypomanic personality.
Eckblad, M., & Chapman, L. J. (1986) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.95.3.214 · Cited by 399 · see citing works
Akiskal, K. K., & Akiskal, H. S. (2005) · Journal of Affective Disorders · doi:10.1016/j.jad.2004.08.002 · Cited by 376 · see citing works
Venables, W. N., & Ripley, B. D. (2002) · Statisctics and computing/Statistics and computing · doi:10.1007/978-0-387-21706-2_10 · Cited by 359 · see citing works
Affect dynamics in relation to depressive symptoms: Variable, unstable or inert?
Koval, P., Pe, M. L., Meers, K., & Kuppens, P. (2013) · Emotion · doi:10.1037/a0033579 · Cited by 292 · see citing works
Thompson, R. J., Mata, J., Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Gotlib, I. H. (2012) · Journal of Abnormal Psychology · doi:10.1037/a0027978 · Cited by 292 · see citing works
Kuppens, P., Mechelen, I. V., Nezlek, J. B., Dossche, D., & Timmermans, T. (2007) · Emotion · doi:10.1037/1528-3542.7.2.262 · Cited by 285 · see citing works
Getting stuck in depression: The roles of rumination and emotional inertia
Koval, P., Kuppens, P., Allen, N. B., & Sheeber, L. (2012) · Cognition & Emotion · doi:10.1080/02699931.2012.667392 · Cited by 278 · see citing works
Emotional inertia prospectively predicts the onset of depressive disorder in adolescence.
Kuppens, P., Sheeber, L., Yap, M. B. H., Whittle, S., Simmons, J. G., & Allen, N. B. (2011) · Emotion · doi:10.1037/a0025046 · Cited by 277 · see citing works
Henry, C., den Bulke, D. V., Bellivier, F., Roy, I., Swendsen, J. D., M’Baïlara, K., Siever, L. J., & Leboyer, M. (2008) · Psychiatry Research · doi:10.1016/j.psychres.2005.11.016 · Cited by 243 · see citing works
Evidence of Chaotic Mood Variation in Bipolar Disorder
Gottschalk, A. (1995) · Archives of General Psychiatry · doi:10.1001/archpsyc.1995.03950230061009 · Cited by 238 · see citing works
The stability of mood variability: A spectral analytic approach to daily mood assessments.
Larsen, R. J. (1987) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.52.6.1195 · Cited by 219 · see citing works
Micro-Level Affect Dynamics in Psychopathology Viewed From Complex Dynamical System Theory
Wichers, M., Wigman, J. T. W., & Myin‐Germeys, I. (2015) · Emotion Review · doi:10.1177/1754073915590623 · Cited by 209 · see citing works
Wichers, M., Peeters, F., Geschwind, N., Jacobs, N., Simons, C. J. P., Derom, C., Thiery, E., Delespaul, P. H., & van Os, J. (2010) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.11.010 · Cited by 189 · see citing works
Toward a dimensional and psychometrically-informed approach to conceptualizing psychopathology
Krueger, R. F., & Piasecki, T. M. (2002) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(02)00016-5 · Cited by 173 · see citing works
Hollenstein, T. (2015) · Emotion Review · doi:10.1177/1754073915590621 · Cited by 173 · see citing works
Hafeman, D., Merranko, J. A., Goldstein, T. R., Axelson, D., Goldstein, B. I., Monk, K., Hickey, M. B., Sakolsky, D. J., Diler, R. S., Iyengar, S., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.1763 · Cited by 173 · see citing works
Bonsall, M. B., Wallace-Hadrill, S. M. A., Geddes, J. R., Goodwin, G. M., & Holmes, E. A. (2011) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2011.1246 · Cited by 167 · see citing works
Tsanas, A., Saunders, K. E. A., Bilderbeck, A. C., Palmius, N., Osipov, M., Clifford, G. D., Goodwin, G. Μ., & De Vos, M. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.06.065 · Cited by 162 · see citing works
Emotional inertia and external events: The roles of exposure, reactivity, and recovery.
Koval, P., Brose, A., Pe, M. L., Houben, M., Erbaş, Y., Champagne, D., & Kuppens, P. (2015) · Emotion · doi:10.1037/emo0000059 · Cited by 140 · see citing works
Forbes, M. K., Tackett, J. L., Markon, K. E., & Krueger, R. F. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000651 · Cited by 135 · see citing works
Risk factors for the bipolar and depression spectra
Angst, J., Gamma, A., & Endrass, J. (2003) · Acta Psychiatrica Scandinavica · doi:10.1034/j.1600-0447.108.s418.4.x · Cited by 127 · see citing works
Ambulatory Assessment of Affective Instability in Borderline Personality Disorder
Ebner‐Priemer, U., & Sawitzki, G. (2007) · European Journal of Psychological Assessment · doi:10.1027/1015-5759.23.4.238 · Cited by 125 · see citing works
Neumann, A., van Lier, P. A. C., Frijns, T., Meeus, W., & Koot, H. M. (2011) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-011-9509-3 · Cited by 121 · see citing works
The bipolarity of affect and depressive symptoms.
Dejonckheere, E., Mestdagh, M., Houben, M., Erbaş, Y., Pe, M. L., Koval, P., Brose, A., Bastian, B. B., & Kuppens, P. (2018) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000186 · Cited by 114 · see citing works
Emotional experience in daily life: Valence, variability, and rate of change.
Eaton, L. G., & Funder, D. C. (2001) · Emotion · doi:10.1037/1528-3542.1.4.413 · Cited by 113 · see citing works
Individual differences in intraperson variability in mood.
Penner, L. A., Shiffman, S. S., Paty, J. A., & Fritzsche, B. A. (1994) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.66.4.712 · Cited by 112 · see citing works
Individual differences in intraperson variability in mood.
Penner, L. A., Shiffman, S., Paty, J. A., & Fritzsche, B. A. (1994) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.66.4.712 · Cited by 112 · see citing works
Ecological momentary assessment (EMA) of depression-related phenomena
Armey, M. F., Schatten, H. T., Bailen, N. H., & Miller, I. W. (2015) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2015.01.002 · Cited by 108 · see citing works
Wichers, M., Lothmann, C., Simons, C. J. P., Nicolson, N. A., & Peeters, F. (2012) · British Journal of Clinical Psychology · doi:10.1111/j.2044-8260.2011.02021.x · Cited by 89 · see citing works
Mood fluctuations in people putatively at risk for bipolar disorders
Hofmann, B. U., & Meyer, T. D. (2006) · British Journal of Clinical Psychology · doi:10.1348/014466505x35317 · Cited by 82 · see citing works
Emotional variability and clarity in depression and social anxiety
Thompson, R. J., Boden, M. T., & Gotlib, I. H. (2015) · Cognition & Emotion · doi:10.1080/02699931.2015.1084908 · Cited by 65 · see citing works
Comment: Affective Chronometry Has Come of Age
Davidson, R. J. (2015) · Emotion Review · doi:10.1177/1754073915590844 · Cited by 62 · see citing works
A process approach to emotion and personality: Using time as a facet of data
Larsen, R. J., Augustine, A. A., & Prizmić, Z. (2009) · Cognition & Emotion · doi:10.1080/02699930902851302 · Cited by 60 · see citing works
O'Donnell, L. A., Ellis, A. J., Van de Loo, M. M., Stange, J. P., Axelson, D. A., Kowatch, R. A., Schneck, C. D., & Miklowitz, D. J. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.04.021 · Cited by 58 · see citing works
The expression of affective temperaments in daily life
Walsh, M. A., Brown, L. H., Barrantes‐Vidal, N., & Kwapil, T. R. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.07.026 · Cited by 57 · see citing works
Husen, K., Rafaeli, E., Rubel, J. A., Bar‐Kalifa, E., & Lutz, W. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.025 · Cited by 55 · see citing works
Walsh, M. A., Royal, A., Barrantes‐Vidal, N., & Kwapil, T. R. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.03.016 · Cited by 54 · see citing works
Dynamical Patterns in Bipolar Depression
Johnson, S. L., & Nowak, A. K. (2002) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr0604_12 · Cited by 50 · see citing works
Looking for bipolar spectrum psychopathology: identification and expression in daily life
Walsh, M. A., Royal, A., Brown, L. H., Barrantes‐Vidal, N., & Kwapil, T. R. (2011) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2011.06.006 · Cited by 43 · see citing works
Affective Instability and Reactivity in Depressed Patients With and Without Borderline Pathology
Köhling, J., Moessner, M., Ehrenthal, J. C., Bauer, S., Cierpka, M., Kämmerer, A., Schauenburg, H., & Dinger, U. (2015) · Journal of Personality Disorders · doi:10.1521/pedi_2015_29_230 · Cited by 39 · see citing works
Associations between mood instability and emotional processing in a large cohort of bipolar patients
Bilderbeck, A. C., Reed, Z. E., McMahon, H. C., Atkinson, L. Z., Price, J., Geddes, J. R., Goodwin, G. M., & Harmer, C. J. (2016) · Psychological Medicine · doi:10.1017/s003329171600180x · Cited by 39 · see citing works
Stange, J. P., Sylvia, L. G., Magalhães, P. V. D. S., Miklowitz, D. J., Otto, M. W., Frank, E., Yim, C., Berk, M., Dougherty, D. D., Nierenberg, A. A., et al. (2016) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.114.162073 · Cited by 37 · see citing works
Sperry, S. H., & Kwapil, T. R. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.01.053 · Cited by 35 · see citing works
Data-driven classification of bipolar I disorder from longitudinal course of mood
Cochran, A. L., McInnis, M. G., & Forger, D. B. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.166 · Cited by 32 · see citing works
Steinacher, A., & Wright, K. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063345 · Cited by 29 · see citing works
Latent structure of unipolar and bipolar mood symptoms
Ahmed, A. O., Green, B. A., Clark, C. B., Stahl, K. C., & McFarland, M. E. (2011) · Bipolar Disorders · doi:10.1111/j.1399-5618.2011.00940.x · Cited by 21 · see citing works
Prisciandaro, J. J., Tolliver, B. K., & DeSantis, S. M. (2018) · Psychological Medicine · doi:10.1017/s0033291718002143 · Cited by 17 · see citing works
Szmulewicz, A., Martino, D. J., & Strejilevich, S. (2019) · European Psychiatry · doi:10.1016/j.eurpsy.2018.10.003 · Cited by 16 · see citing works
Prisciandaro, J., & Tolliver, B. (2015) · Psychological Medicine · doi:10.1017/s0033291715000513 · Cited by 10 · see citing works
Wright, K. A., Dodd, A., Warren, F. C., Medina‐Lara, A., Taylor, R. S., Jones, S. H., Owens, C. V., Javaid, M., Dunn, B., Harvey, J., et al. (2018) · Trials · doi:10.1186/s13063-018-2926-7 · Cited by 10 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Digital health data-driven approaches to understand human behavior
Marsch, L. A. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0761-5 · Cited by 90 · see citing works
Early warning signals in psychopathology: what do they tell?
Schreuder, M. J., Hartman, C. A., George, S. V., Menne‐Lothmann, C., Decoster, J., van Winkel, R., Delespaul, P., Binder, M. D., Derom, C. A., Thiery, E. W., et al. (2020) · BMC Medicine · doi:10.1186/s12916-020-01742-3 · Cited by 52 · see citing works
“studies [4, 11, 14, 21, 24, 26, 27, 42, 56], does not allow for within-individual inferences.”
BackgroundYouths’ sensitivity to social media feedback: A computational account
Pinho, A. D. S., Izquierdo, V. C., Lindström, B., & van den Bos, W. (2024) · Science Advances · doi:10.1126/sciadv.adp8775 · Cited by 58 · see citing works
“Particularly, negative emotional responses to lack of positive feedback may be related to heightened rejection sensitivity ( 49 ), which, if experienced often, could potentially lead to mental health consequences ( 50 , 51 ).”
Emotional Inertia: On the Conservation of Emotional Momentum
Koval, P., Burnett, P. T., & Zheng, Y. (2021) · Springer eBooks · doi:10.1007/978-3-030-82965-0_4 · Cited by 43 · see citing works
Tonon, A. C., Nexha, A., da Silva, M. M., Gomes, F. A., Hidalgo, M. P. L., & Frey, B. N. (2024) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13729 · Cited by 47 · see citing works
Emotion Network Analysis During COVID-19 Quarantine ‐ A Longitudinal Study
Martín-Brufau, R., Suso‐Ribera, C., & Berná, F. J. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.559572 · Cited by 39 · see citing works
“, 2007; Sperry and Kwapil, 2019) and can be used to predict mood psychopathology (Wichers et al., 2015; Sperry et al., 2020).”
BackgroundThe future is dynamic: A call for intensive longitudinal data in immunopsychiatry
Moriarity, D. P., & Slavich, G. M. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.06.002 · Cited by 35 · see citing works
“, change; (Hamaker and Wichers, 2017; Sperry et al., 2020)) in the psychological sciences.”
Sperry, S. H., & Kwapil, T. R. (2020) · Emotion · doi:10.1037/emo0000759 · Cited by 38 · see citing works
Slow down and be critical before using early warning signals in psychopathology
Helmich, M. A., Schreuder, M. J., Bringmann, L. F., Riese, H., Snippe, E., & Smit, A. C. (2024) · Nature Reviews Psychology · doi:10.1038/s44159-024-00369-y · Cited by 39 · see citing works
“Additionally, some studies found that higher autocor-relations and variances predicted worsening of mental health several months and up to 2.5 years later 73–75 — although not all longitudinal studies confirmed this result 76–79 .”
InfluentialPsychopathology and positive emotions in daily life
Heininga, V. E., & Kuppens, P. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.11.005 · Cited by 36 · see citing works
Depression risk factors and affect dynamics: An experience sampling study
Funkhouser, C. J., Kaiser, A. J. E., Alqueza, K. L., Carrillo, V. L., Hoffman, L. M. K., Nabb, C. B., Auerbach, R. P., & Shankman, S. A. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.01.007 · Cited by 28 · see citing works
Specificity of affective dynamics of bipolar and major depressive disorder
Stapp, E. K., Zipunnikov, V., Leroux, A., Cui, L., Husky, M. M., Dey, D., & Merikangas, K. R. (2023) · Brain and Behavior · doi:10.1002/brb3.3134 · Cited by 23 · see citing works
Taylor, R. H., Ulrichsen, A., Young, A. H., & Strawbridge, R. (2021) · International Journal of Bipolar Disorders · doi:10.1186/s40345-021-00237-1 · Cited by 22 · see citing works
“The proportion of the sample who converted ranged from 4% (Sperry et al. 2020; Egeland et al. 2012) to 43% (Kochman et al.”
BackgroundMethodResultInfluentialArigo, D., Brown, M. M., Pasko, K., Ainsworth, M. C., Travers, L., Gupta, A. K., Downs, D. S., & Smyth, J. M. (2020) · JMIR Research Protocols · doi:10.2196/19044 · Cited by 21 · see citing works
“These may remain stable over periods of weeks or months or fluctuate in response to daily or momentary changes in context [90,91].”
BackgroundComplex Systems Approaches to Psychopathology
Bringmann, L. F., Helmich, M. A., Eronen, M. I., & Voelkle, M. C. (2023) · Oxford University Press eBooks · doi:10.1093/med-psych/9780197542521.003.0005 · Cited by 20 · see citing works
Verhagen, S. J. W., van Os, J., & Delespaul, P. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822201-0.00017-4 · Cited by 20 · see citing works
Schreuder, M. J., Hartman, C. A., Groen, R. N., Smit, A. C., Wichers, M., & Wigman, J. T. W. (2022) · Clinical Psychological Science · doi:10.1177/21677026221103138 · Cited by 18 · see citing works
“…ambiguous, which might be due to methodological heterogeneity across studies (e.g., the time interval between assessments of emotions and assessments of symptom severity; characteristics of sample and design; Brose et al., 2015; Curtiss et al., 2019; Kuppens et al., 2012; Sperry et al., 2020).”
BackgroundChanging feelings: Individual differences in emotional inertia
Koval, P., & Kuppens, P. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95604-8.00007-1 · Cited by 19 · see citing works
Childhood abuse and neglect and profiles of adult emotion dynamics
Myroniuk, S., Reitsema, A. M., de Jonge, P., & Jeronimus, B. F. (2024) · Development and Psychopathology · doi:10.1017/s0954579423001530 · Cited by 20 · see citing works
Xu, J., Wang, H., Morrow, K. E., Xu, Y., Gao, M. M., Hu, Y., Suveg, C. M., & Han, Z. R. (2023) · Child Development · doi:10.1111/cdev.13976 · Cited by 17 · see citing works
On the transience or stability of subthreshold psychopathology
Schreuder, M. J., Wigman, J. T. W., Groen, R. N., Wichers, M., & Hartman, C. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-02711-3 · Cited by 16 · see citing works
A cognitive-computational account of mood swings in adolescence
Gregorová, K., Eldar, E., Deserno, L., & Reiter, A. M. F. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.02.006 · Cited by 18 · see citing works
Emotion networks across self-reported depression levels during the COVID-19 pandemic
Whiston, A., Igou, E. R., & Fortune, D. G. (2021) · Cognition & Emotion · doi:10.1080/02699931.2021.1993147 · Cited by 15 · see citing works
“These findings suggest negative emotions in depressed populations are less resistant and less likely to change over time (Bringmann et al., 2016), thus supporting theories on emotional inertia in depression (Sperry et al., 2020).”
BackgroundInfluentialVanhasbroeck, N., Loossens, T., Anarat, N., Ariens, S., Vanpaemel, W., Moors, A., & Tuerlinckx, F. (2022) · Affective Science · doi:10.1007/s42761-022-00118-5 · Cited by 15 · see citing works
“…investigated group differences in person-specific affective means and standard deviations (e.g., Congard et al., 2011; Kalokerinos et al., 2019) while others have focused on more complicated affect dynamical characteristics, such as affective instability (Houben et al., 2021; Sperry et al., 2020).”
BackgroundAffective Instability: Impact of Fluctuating Emotions on Regulation and Psychological Well-Being
Dork, J., Mangan, E., Burns, L. R., & Dimenstein, E. (2024) · Behavioral Sciences · doi:10.3390/bs14090783 · Cited by 13 · see citing works
“Such patterns can lead to distress and numerous psychological issues [4].”
BackgroundSperry, S. H., & Kwapil, T. R. (2020) · Motivation and Emotion · doi:10.1007/s11031-020-09840-8 · Cited by 12 · see citing works
“However, we want to be clear that future research is warranted as the overlap or distinctness of complex affective dynamics may be unique to specific populations (e.g., borderline personality disorder, bipolar spectrum disorders; Trull et al. 2008; Sperry et al. 2020; Sperry and Kwapil 2020).”
BackgroundMoment-to-moment affective dynamics in schizophrenia and bipolar disorder
So, S. H., Chau, A. K. C., Chung, L. K.-H., Leung, C.-M., Chong, G. H.-C., Chang, W. C., Mak, A. D. P., Chan, S. S. M., Lee, S., & Sommer, I. E. (2023) · European Psychiatry · doi:10.1192/j.eurpsy.2023.2438 · Cited by 13 · see citing works
“This allowed a systematic approach to examining the construct across disorders in context [44, 62].”
BackgroundLudwig, V. M., Reinhard, I., Mühlbauer, E., Hill, H., Severus, W. E., Bauer, M., Ritter, P. S., & Ebner‐Priemer, U. (2024) · Psychological Medicine · doi:10.1017/s0033291723003811 · Cited by 11 · see citing works
“To the best of our knowledge, so far only one research group has investigated AR as a proxy for emotional inertia within bipolar spectrum symptomatology and did not find consistent or promising results (Sperry & Kwapil, 2019, 2022; Sperry, Walsh, & Kwapil, 2020).”
ResultA digital self‐report survey of mood for bipolar disorder
Gruichich, T. S., Gomez, J. C. D., Zayas‐Cabán, G., McInnis, M. G., & Cochran, A. L. (2021) · Bipolar Disorders · doi:10.1111/bdi.13058 · Cited by 11 · see citing works
An initial test of the contrast avoidance model in bipolar spectrum disorders
Kim, H., McInnis, M. G., & Sperry, S. H. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.03.024 · Cited by 10 · see citing works
Meine, L. E., Müller-Bardorff, M., Recher, D., Paersch, C., Schulz, A., Spiller, T. R., Galatzer‐Levy, I. R., Kowatsch, T., Fisher, A. J., & Kleim, B. (2024) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2024.102914 · Cited by 11 · see citing works
Helmich, M. A., Wichers, M., Peeters, F. P. M. L., & Snippe, E. (2022) · Cognition & Emotion · doi:10.1080/02699931.2022.2129593 · Cited by 10 · see citing works
“It seems plausible that experiencing higher levels of NA in daily life is an indicator that concurrent symptoms are more severe (Bosley et al., 2019; Panaite et al., 2020; Sperry et al., 2020), and there is, consequently, more room for improvement during treatment.”
BackgroundInsomnia symptom severity and dynamics of arousal‐related symptoms across the day
Balter, L. J. T., Someren, E. J. W. V., & Axelsson, J. (2024) · Journal of Sleep Research · doi:10.1111/jsr.14276 · Cited by 10 · see citing works
Chad‐Friedman, E., Leppert, K. A., Olino, T. M., Bufferd, S. J., & Dougherty, L. R. (2021) · Child Psychiatry & Human Development · doi:10.1007/s10578-021-01121-w · Cited by 9 · see citing works
Dufey, M., González, T., Bravo, T., Fernández, A. M., Riquelme, P., & Ramos, V. (2023) · Revista de Psicopatología y Psicología Clínica · doi:10.5944/rppc.37271 · Cited by 8 · see citing works
Provost, E. M., Sperry, S. H., Tavernor, J., Anderau, S., Yocum, A. K., & McInnis, M. G. (2024) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2024.3407683 · Cited by 10 · see citing works
Kemp, K. C., Sperry, S. H., Hernández, L., Barrantes‐Vidal, N., & Kwapil, T. R. (2024) · Schizophrenia Bulletin · doi:10.1093/schbul/sbae112 · Cited by 8 · see citing works
Smith, L. T., Walsh, R. F. L., Goel, N., & Alloy, L. B. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115499 · Cited by 8 · see citing works
Mood instability metrics to stratify individuals and measure outcomes in bipolar disorder
Sperry, S. H., Yocum, A. K., & McInnis, M. G. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00291-5 · Cited by 8 · see citing works
“In fact, several studies over different timescales (for example, hours, days and weeks) have shown that intraindividual s.d. is a meaningful metric for measuring outcomes and risk in BD 7,11–13, 15, 28 .”
Petzold, P., Silveira, S., Godara, M., Matthaeus, H., & Singer, T. (2023) · Scientific Reports · doi:10.1038/s41598-023-40636-1 · Cited by 7 · see citing works
Yang, Y., Wang, J., Lin, H., Chen, X., Chen, Y., Kuang, J., Yao, Y., Wang, T., & Fu, C. (2025) · BMC Psychology · doi:10.1186/s40359-025-02699-9 · Cited by 10 · see citing works
“Our results are contrary to Sperry et al.‘s research [10], which found that altered emotional variability and instability were not associated with new diagnoses of major depressive disorder or major depressive episodes three years later.”
InfluentialEmotional awareness, affective dysregulation, and bipolar spectrum psychopathology: A path analysis
Sperry, S. H., Eckland, N. S., & Kwapil, T. R. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.113739 · Cited by 7 · see citing works
Digital solutions for shaping mood and behavior among individuals with mood disorders
Victory, A. M., Letkiewicz, A. M., & Cochran, A. L. (2020) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2020.07.008 · Cited by 6 · see citing works
“Indeed, current and future diagnoses of mood disorders were associated with mobile statistics of intra-day mood dynamics [18,19].”
BackgroundLetkiewicz, A. M., Funkhouser, C. J., Umemoto, A., Trivedi, E., Sritharan, A., Zhang, E., Buchanan, S. N., Helgren, F., Allison, G. O., Jürgen Kayser, A., et al. (2023) · Psychophysiology · doi:10.1111/psyp.14476 · Cited by 6 · see citing works
Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers
Teodorescu, D., Cheng, T., Fyshe, A., & Mohammad, S. M. (2023) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2023.emnlp-main.188 · Cited by 6 · see citing works
Stange, J. P. (2024) · Psychophysiology · doi:10.1111/psyp.14630 · Cited by 5 · see citing works
A Review of Measurements and Techniques to Study Emotion Dynamics in Learning
Zheng, J., Li, S., & Lajoie, S. P. (2023) · Advances in analytics for learning and teaching · doi:10.1007/978-3-031-30992-2_2 · Cited by 6 · see citing works
Malamud, J., Gülöksüz, S., van Winkel, R., Delespaul, P., Binder, M. D., Derom, C. A., Thiery, E. W., Jacobs, N., Rutten, B. P. F., & Huys, Q. J. M. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012457 · Cited by 8 · see citing works
“Various studies investigating affect dynamics have demonstrated their importance by showing that altered affect dynamics relate to psychopathology, particularly negative valence [39–42].”
Chaoyi, W. U., & Zhen, W. (2023) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2024.00364 · Cited by 5 · see citing works
Ludwig, V. M., Reinhard, I., Mühlbauer, E., Hill, H., Severus, E., Bauer, M., Ritter, P. S., & Ebner‐Priemer, U. (2023) · doi:10.31234/osf.io/8ebmc · Cited by 5 · see citing works
Hale, M. E., Morrow, K. E., Xu, J., Han, Z. R., Oshri, A., Shaffer, A. E., Caughy, M. O., & Suveg, C. M. (2024) · Developmental Psychobiology · doi:10.1002/dev.22513 · Cited by 4 · see citing works
Chiang, S., Ting, S., & Sung, Y.-H. (2024) · Suicide and Life-Threatening Behavior · doi:10.1111/sltb.13146 · Cited by 4 · see citing works
Choose or Fuse: Enriching Data Views with Multi-label Emotion Dynamics
Cang, X. L., Guerra, R. R., Bucci, P., Guta, B., MacLean, K. E., Rodgers, L., Mah, H., Hsu, S., Feng, Q., Zhang, C., et al. (2022) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii55700.2022.9953882 · Cited by 5 · see citing works
“Using these summary metrics over a report time series, researchers have evaluated emotional character arcs in movies [24], examined the role of exercise in emotion regulation [25], and even predicted mood disorders [23].”
Backgroundvan der Tuin, S., Booij, S. H., Muller, M. K., van den Berg, D. P. G., Oldehinkel, A. J., & Wigman, J. T. W. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115546 · Cited by 4 · see citing works
“This is in line with other studies that found an association between higher emotion/symptom variability and psychopathology (Dejonckheere et al., 2019; Houben et al., 2015; Koval et al., 2013; Sperry et al., 2020).”
Daily emotional inertia and long-term subjective well-being among people living with HIV
Rzeszutek, M., Gruszczyńska, E., & Firląg‐Burkacka, E. (2021) · Health and Quality of Life Outcomes · doi:10.1186/s12955-021-01752-6 · Cited by 4 · see citing works
“For instance, in some studies based on the models of emotions as emergent processes [21], it has been observed that short-term affect dynamics can concurrently and prospectively be related to psychopathological symptoms [22, 23].”
BackgroundChafkin, J. E., O’Brien, J., Medrano, F. N., Lee, H. Y., Josephs, R. A., & Yeager, D. S. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101158 · Cited by 4 · see citing works
Kuzyk, E., Mekawi, Y., Michopoulos, V., & Powers, A. D. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.10.004 · Cited by 4 · see citing works
Rónai, L., & Polner, B. (2021) · doi:10.31234/osf.io/he53c · Cited by 4 · see citing works
Tharwat, D., Trousselard, M., Fromage, D., Belrose, C., Balès, M., Sutter-Dallay, A.-L., Ezto, M.-L., Hurstel, F., Harvey, T., Martin, S., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031545 · Cited by 3 · see citing works
“Furthermore, a body of literature suggests the interest of the dynamics of affective states to predict mood or sleep disorders, especially during pregnancy [19].”
BackgroundKaya, A., Mukba, G., & ÖZOK, H. İ. (2023) · Psychological Reports · doi:10.1177/00332941231203561 · Cited by 3 · see citing works
“Depression is related to emotion regulation strategies (Siener & Kerns, 2012), as well as the cognitive aspect of depression and the emotional mode of the individual related to their emotional state and life at that time (Sperry et al., 2020).”
Two peas in a pod: Discounting models as a special case of the VARMAX
Vanhasbroeck, N., Loossens, T., & Tuerlinckx, F. (2024) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2024.102856 · Cited by 2 · see citing works
Hawes, M. T., & Klein, D. N. (2023) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-023-10088-y · Cited by 3 · see citing works
“First, the vast majority of studies have focused on a narrow scope of disorders, namely, depression (e.g., Kuppens et al., 2012; Sperry et al., 2020; van de Leemput et al., 2014), anxiety (e.g., Bowen et al., 2004; Congard et al., 2011; Heller et al., 2019) and borderline personality disorder (BPD;…”
BackgroundGruszczyńska, E., & Rzeszutek, M. (2023) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.12500 · Cited by 2 · see citing works
Moraga, S. M., Bos, F. M., Doornbos, B., Bruggeman, R., van der Krieke, L., Snippe, E., & Aarts, E. (2023) · doi:10.31234/osf.io/egp82 · Cited by 2 · see citing works
The impact of personality traits on the return of major depression: a case–control study
Altaweel, N., Upthegrove, R., & Marwaha, S. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1454673 · Cited by 1 · see citing works
Sperry, S. H., Stromberg, A. R., Roberts, J. E., & Prisciandaro, J. J. (2025) · Psychiatry Research · doi:10.1016/j.psychres.2025.116734 · Cited by 1 · see citing works
Cochran, A. L., & Vineyard, J. (2025) · Current Psychiatry Reports · doi:10.1007/s11920-025-01647-z · Cited by 1 · see citing works
“These findings build on Sperry’s earlier work: variability along with more abrupt shifts in daily ratings of mood could predict onset of new bipolar-spectrum disorders three years later [7], and were linked to higher bipolar-spec-trum traits, even after accounting for overall mood levels [8 ].”
What happens at night? Differentiating within-day and overnight affective inertia
Lücke, A. J., Scott, S. B., Sliwinski, M. J., Smyth, J. M., Viechtbauer, W., & Neubauer, A. B. (2025) · Cognition & Emotion · doi:10.1080/02699931.2025.2603460 · Cited by 1 · see citing works
“To account for this, another frequently used approach in the literature on affective inertia is to exclude overnight intervals altogether by replacing the first or last assessment of the day with missing values (e.g. Rowland et al., 2020; Sperry et al., 2020).”
InfluentialGori, A., Dewey, D., Topino, E., Giannini, M., & Schuldberg, D. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19138008 · Cited by 1 · see citing works
Potier, R. (2022) · L Évolution Psychiatrique · doi:10.1016/j.evopsy.2022.09.001 · Cited by 1 · see citing works
Utterance Emotion Dynamics in Children’s Poems: Emotional Changes Across Age
Teodorescu, D., Fyshe, A., & Mohammad, S. M. (2023) · Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA) · doi:10.18653/v1/2023.wassa-1.35 · Cited by 1 · see citing works
Coombs, G. (2020) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · Cited by 1 · see citing works
Helmich, M. A. (2022) · doi:10.33612/diss.200101721 · Cited by 1 · see citing works
Editorial: Emotion dynamics: mapping the structure and function of emotional variability
McGinley, J. J., & Spangler, D. P. (2025) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2025.1603774 · Cited by 1 · see citing works
Sperry, S. H., Eckland, N. S., & Kwapil, T. R. (2021) · doi:10.31234/osf.io/praq2
Invarianza factorial de la escala Perfil de Estados de Ánimo (POMS) en adultos mexicanos
Martínez-Soto, J., Torres, C. E. C., & la Roca-Chiapas, J. M. D. (2022) · Revista de Psicología y Ciencias del Comportamiento de la Unidad Académica de Ciencias Jurídicas y Sociales · doi:10.29059/rpcc.20220501-141
Sirven, B., Baussard, L., Charbonnier, É., & Vigouroux, S. L. (2024) · Pratiques Psychologiques · doi:10.1016/j.prps.2024.03.002
Wang, Y.-Q., & Hawk, S. (2024) · Journal of Youth and Adolescence · doi:10.1007/s10964-024-02010-w
“Third, the probability of acute change (PAC) indexed how frequently an individual experiences changes in emotion above a given cut-off (Mun et al., 2019; Sperry et al., 2020).”
InfluentialRutter, L. A., Chen, P., Lakhan, P., Germine, L. T., & Hawks, Z. (2026) · JMIR mhealth and uhealth · doi:10.2196/64397 · Cited by 1 · see citing works
Malamud, J., & Huys, Q. J. M. (2025) · eLife · doi:10.7554/elife.102780
Malamud, J., & Huys, Q. J. M. (2025) · eLife · doi:10.7554/elife.102780.1
Sperry, S. H., Smith, J. L., Sandorffy, B. L., Murphy, V. A., Kim, H., Rheenen, T. E. V., & Dodd, A. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119822
Technologies mobiles et téléconsultation pour le trouble bipolaire
Astruc, B., & Swendsen, J. D. (2023) · Elsevier eBooks · doi:10.1016/b978-2-294-77180-4.00061-5
Modeling and predicting mood instability in a longitudinal cohort of bipolar disorder
Stromberg, A. R., Yocum, A. K., McInnis, M. G., Tso, I. F., & Sperry, S. H. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00506-3
“Furthermore, mood instability is pre-sent in individuals at risk for the development of BD 8,9 and predicts the development of BD, but not unipolar depression, within this group 10 .”
Taylor, R. H., Ulrichsen, A., Young, A. H., & Strawbridge, R. (2021) · Figshare · doi:10.6084/m9.figshare.16911209
Suata, Z. M., Daubney, K., Kostyrka‐Allchorne, K., Wass, S. V., & Sonuga-Barke, E. J. S. (2026) · Developmental Science · doi:10.1111/desc.70212
“While this issue has been acknowledged in related work (Dejonckheere et al. 2019 ; Sperry et al. 2020 ), there exists no straightforward solution.”
The dynamic influence of exercise on emotional state among people with a history of mood disorder
Stapp, E. K., Husky, M. M., Cui, L., & Merikangas, K. R. (2026) · Psychiatry Research · doi:10.1016/j.psychres.2026.117319
Kim, H., Smith, J. L., McInnis, M. G., & Sperry, S. H. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122334
Kornacka, M., Barnes, S., Skorupski, J., Skorupski, M. S., Jaskulska, A., Para, M., & Szastok, M. (2026) · Psychiatria i Psychologia Kliniczna · doi:10.15557/pipk.2026.0018
Ellis, A. J., Salgari, G. C., Giacco, A. C. D., Loo, S. K., & Miklowitz, D. J. (2026) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2026.101151
Malamud, J., & Huys, Q. J. M. (2026) · eLife · doi:10.7554/elife.102780.2
Temporal dynamics of affect, screen time, and step count in individuals at risk for mood disorders
Helmink, F. G. L., van Roekel, E., Hillegers, M. H. J., Mesman, E., & Sperry, S. H. (2026) · Psychological Medicine · doi:10.1017/s0033291726105297
“…(i.e. how emotions change over time) are linked to psychological well-being and psychopathology development (Bailen & Thompson, 2023; Houben, Van Den Noortgate, & Kuppens, 2015; Kuranova et al., 2021; Maciejewski et al., 2019; Sperry, Walsh, & Kwapil, 2020; Wichers, Wigman, & Myin-Germeys, 2015).”
Harvey, N., Kemp, K. C., Sperry, S. H., Barrantes‐Vidal, N., & Kwapil, T. R. (2026) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2026.101204
- Authors
- Sperry, S. H., Walsh, M. A., & Kwapil, T. R.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- University of North Carolina at Greensboro (US)
- Corresponding author
- Sperry, Sarah H.
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 261
- Pages
- 67-75
- ISSN
- 0165-0327 (ISSN-L)
- OpenAlex
- W2979167486
- Cited by
- 93
- References
- 68
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 21 · 2023: 20 · 2022: 11 · 2021: 13 · 2020: 9
- FWCI
- 6.56
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro) (submittedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Open Science Framework
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
- Keywords
- emotional dynamics, negative affect, positive affect, bipolar spectrum disorders, depression, hypomanic personality, hyperthymic temperament, neuroticism, within-person variability, autocorrelation, transdiagnostic risk factors, digital phenotyping, mobile-based interventions, ecological momentary assessment
- MeSH terms
- Ecological Momentary Assessment, Adolescent, Adult, Affect, Affective Symptoms, Bipolar Disorder, Cyclothymic Disorder, Depression, Emotions, Female, Follow-Up Studies, Humans, Male, Prospective Studies, Psychopathology, Surveys and Questionnaires, Temperament, Time Factors, Young Adult, Interrupted Time Series Analysis
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