Emotion Dynamics and the Association With Depressive Features and Borderline Personality Disorder Traits: Unique,Specific,and Prospective Relationships

Abstract

Patterns of emotional change in daily life have been consistently linked to depressive and borderline personality disorder (BPD) features. However, dynamic measures and average affect show considerable statistical overlap, and depressive and BPD features are comorbid. Moreover, the prospective nature of these relationships is unclear. We used a measurement burst design in which 202 young adults with varying levels of psychopathological features participated in a week-long experience sampling at baseline and 1-year follow-up. Taking overlap into account, we found that BPD traits were uniquely and specifically linked to higher levels of variability in negative affect (NA). For depressive features, indications were found for a specific association with inertia of NA, but these results were not robust and consistent. In fact, overall, incremental predictive power of the dynamic measures above mean affect was limited, especially for depressive features. Prospective relationships showed that psychopathological features predicted stronger emotion dynamic patterns 1 year later rather than the other way around.

Keywords

emotion dynamics depressive features borderline personality disorder traits daily life emotional variability emotional inertia

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References

American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: Author.

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author.

Bouma

Ranchor

A. V.

Sanderman

van Sonderen

(2012). Het meten van symptomen van depressie met de CES-D: en handleiding [Measuring symptoms of depression with the CES-D: a manual] (2nd ed., Rev). Groningen, The Netherlands: UMCG / Rijksuniversiteit Groningen, Research Institute SHARE.

Bulteel

Mestdagh

Tuerlinckx

Ceulemans

(2018). VAR(1) based models do not always outpredict AR(1) models in typical psychological applications. Psychological Methods, 23, 740–756. doi:10.1037/met0000178Q

Carpenter

R. W.

Trull

T. J.

(2013). Components of emotion dysregulation in borderline personality disorder: A review. Current Psychiatry Reports, 15, 1–8.

Crowell

S. E.

Beauchaine

T. P.

Linehan

M. M.

(2009). A biosocial developmental model of borderline personality: Elaborating and extending Linehan’s theory. Psychological Bulletin, 135, 495–510. doi:10.1037/a0015616

Dejonckheere

Mestdagh

Houben

Rutten

Sels

Kuppens

Tuerlinckx

(2019). Complex affect dynamics add limited information to the prediction of psychological well-being. Nature Human Behaviour, 3, 478–491. doi:10.1038/s41562-019-0555-0

Diener

Emmons

R. A.

(1984). The independence of positive and negative affect. Journal of Personality and Social Psychology, 47, 1105–1117. doi:10.1037/0022-3514.47.5.1105

Gotlib

I. H.

Lewinsohn

P. M.

Seeley

J. R.

(1995). Symptoms versus a diagnosis of depression: Differences in psychosocial functioning. Journal of Consulting and Clinical Psychology, 63, 90–100.

10.

Houben

Van Den Noortgate

Kuppens

(2015). The relation between short-term emotion dynamics and psychological well-being: A meta-analysis. Psychological Bulletin, 141, 901–930. doi:10.1037/a0038822

11.

Ingram

R. E.

Siegle

G. J.

(2009). Methodological issues in the study of depression. In Gotlib

I. H.

Hammen

C. L.

(Eds.), Handbook of depression (pp. 69–92). New York, NY: Guilford.

12.

Jahng

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, 354–375. doi:10.1037/a0014173

13.

Koole

S. L.

(2009). The psychology of emotion regulation: An integrative review. Cognition and Emotion, 23, 4–41. doi:10.1080/02699930802619031

14.

Koval

M. L.

Meers

Kuppens

(2013). Affect dynamics in relation to depressive symptoms: Variable, unstable or inert? Emotion, 13, 1132–1141. doi:10.1037/a0033579

15.

Kuppens

Sheeber

L. B.

Yap

M. B.

Whittle

Simmons

J. G.

Allen

N. B.

(2012). Emotional inertia prospectively predicts the onset of depressive disorder in adolescence. Emotion, 12, 283–289.

16.

Kuppens

Verduyn

(2015). Looking at emotion regulation through the window of emotion dynamics. Psychological Inquiry, 26, 72–79. doi:10.1080/1047840X.2015.960505

17.

Kuppens

Verduyn

(2017). Emotion dynamics. Current Opinion in Psychology, 17, 22–26. doi:/10.1016/j.copsyc.2017.06.004

18.

Leemput

I. A.

van de, Wichers

Cramer

A. O. J.

Borsboom

Tuerlinckx

Kuppens

. . . Scheffer

. (2014). Critical slowing down as early warning for the onset and termination of depression. Proceedings of the National Academy of Sciences, USA, 111, 87–92. doi:10.1073/pnas.1312114110

19.

Leichsenring

Leibing

Kruse

New

A. S.

Leweke

(2011). Borderline personality disorder. The Lancet, 377, 74–84.

20.

Linehan

(1993). Cognitive-behavioral treatment of borderline personality disorder. New York, NY: Guilford Press.

21.

Meiran

Diamond

G. M.

Toder

Nemets

(2011). Cognitive rigidity in unipolar depression and obsessive compulsive disorder: Examination of task switching, Stroop, working memory updating and post-conflict adaptation. Psychiatry Research, 185, 149–156. doi:10.1016/j.psychres.2010.04.044

22.

Mestdagh

Pestman

Verdonck

Kuppens

Tuerlinckx

(2018). Sidelining the mean: The relative variability index as a generic mean-corrected variability measure for bounded variables. Psychological Methods, 23, 690–707. doi:10.1037/met0000153

23.

Nezlek

J. B.

(2017). A practical guide to understanding reliability in studies of within-person variability. Journal of Research in Personality, 69, 149–155. doi:10.1016/j.jrp.2016.06.020

24.

M. L.

Kircanski

Thompson

R. J.

Bringmann

L. F.

Tuerlinckx

Mestdagh

. . . Gotlib

I. H

. (2015). Emotion-network density in major depressive disorder. Clinical Psychological Science, 3, 292–300. doi:10.1177/2167702614540645

25.

Radloff

L. S.

(1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401. doi:10.1177/014662167700100306

26.

Schmukle

S. C.

Egloff

Burns

L. R.

(2002). The relationship between positive and negative affect in the Positive and Negative Affect Schedule. Journal of Research in Personality, 36, 463–475. doi:10.1016/S0092-6566(02)00007-7

27.

Schotte

De Doncker

(1996). ADP-IV Questionnaire: Manual and norms. Antwerp, Belgium: University Hospital Antwerp.

28.

Schotte

C. K. W.

De Doncker

D. A. M.

Dmitruk

Van Mulders

D’Haenen

Cosyns

(2004). The ADP-IV questionnaire: Differential validity and concordance with the semi-structured interview. Journal of Personality Disorders, 18, 405–419.

29.

Schotte

C. K. W.

De Doncker

Vankerckhoven

Vertommen

Cosyns

(1998). Self-report assessment of the DSM-IV personality disorders. Measurement of trait and distress characteristics: the ADP-IV. Psychological Medicine, 28, 1179–1188.

30.

Schroevers

M. J.

Sanderman

van Sonderen

Ranchor

A. V.

(2000). The evaluation of the Center for Epidemiologic Studies Depression (CESD) scale: Depressed and positive affect in cancer patients and healthy reference subjects. Quality of Life Research, 9, 1015–1029.

31.

World Health Organization. (1992). The ICD-10 classification of mental and behavioural disorders. Clinical descriptions and diagnostic guidelines. Geneva, Switzerland: World Health Organization.

32.

Watson

Clark

L. A.

Tellegen

(1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063–1070.

33.

Erbas

Brose

Kuppens

Janssen

(2016). The factor structure, predictors, and percentile norms of the Center for Epidemiologic Studies Depression (CES-D) Scale in the Dutch-speaking adult population of Belgium. Psychologica Belgica, 56, 1–12. doi:10.5334/pb.261

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