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Coping with stressful life events: Cognitive emotion regulation profiles and depressive symptoms in adolescents

  • Marieke W. H. van den Heuvel (a1), Yvonne A. J. Stikkelbroek (a1), Denise H. M. Bodden (a1) and Anneloes L. van Baar (a1)


Cognitive strategies that adolescents use to cope with negative emotions might show distinct profiles of cognitive emotion regulation strategies, which could be differentially associated with depressive symptoms. In total, 411 Dutch adolescents who had experienced at least one stressful life event that required some coping strategy participated in this study, including 334 nonclinical and 77 clinically depressed adolescents (12–21 years). A person-centered approach with Latent Profile Analysis was used to identify underlying profiles of cognitive emotion regulation based on the adolescents’ reports of their use of cognitive emotion regulation strategies when they were confronted with stressful life events. Nine different strategies, five adaptive and four maladaptive, were used as indicators. Four profiles with distinct features were found in the nonclinical sample, as well as in the combined sample of nonclinical and clinically depressed adolescents: Low Regulators, High Regulators, Maladaptive Regulators, and Adaptive Regulators. In both samples, the High Regulators profile was most commonly used, followed by the Adaptive, Maladaptive, and Low Regulators profile. Maladaptive Regulators endorsed higher levels of depressive symptoms relative to Low, High, and Adaptive Regulators. The findings underscore the utility of using a person-centered approach in order to identify patterns of cognitive emotion regulation deficits in psychopathology.


Corresponding author

Author for Correspondence: Marieke W. H. van den Heuvel Email:


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Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In Petrov, B. N. & Czaki, P. (Eds.), Second international symposium on information theory (pp. 267281). Budapest: Akademiai Kiado.
Aldao, A. (2013). The future of emotion regulation research: Capturing context. Perspectives on Psychological Science, 8, 155172. doi: 10.1177/1745691612459518
Aldao, A., & Nolen-Hoeksema, S. (2012). When are adaptive strategies most predictive of psychopathology? Journal of Abnormal Psychology, 121, 276281. doi: 10.1037/a0023598
Aldao, A., & Nolen-Hoeksema, S. (2013). One versus many: Capturing the use of multiple emotion regulation strategies in response to an emotion-eliciting stimulus. Cognition and Emotion, 27, 753760. doi: 10.1080/02699931.2012.739998
Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010). Emotion regulation strategies across psychopathology: A meta-analytic review. Clinical Psychology Review, 30, 217237. doi: 10.1016/j.cpr.2009.11.004
Aldwin, C. M. (2009). Stress, coping and development. Second Edition: An Integrative Perspective. New York: The Guilford Press.
Asparouhov, T., & Muthén, B. (2014, August 5). Auxiliary variables in mixture modeling: 3-Step approaches using Mplus [Mplus web notes]. Retrieved from
Beevers, C. G. (2005). Cognitive vulnerability to depression: A dual process model. Clinical Psychology Review, 25, 9751002. doi: 10.1016/j.cpr.2005.03.003
Bodden, D. H., & Stikkelbroek, Y. A. J. (2010). Life Events Scale. Utrecht: Utrecht University.
Bodden, D. H., Stikkelbroek, Y., & Braet, C. (2016). The Child Depression Inventory-2 (CDI-2). Amsterdam: Hogrefe Uitgevers B.V.
Celeux, G., & Soromenho, G. (1996). An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification, 13, 195212. doi: 10.1007/BF01246098
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 39, 138. doi: 10.1111/j.2517-6161.1977.tb01600.x
Dixon-Gordon, K. L., Aldao, A., & De Los Reyes, A. (2014). Repertoires of emotion regulation: A person-centered approach to assessing emotion regulation strategies and links to psychopathology. Cognition and Emotion, 29, 13141325. doi: 10.1080/02699931.2014.983046
Extremera, N., & Rey, L. (2015). The moderator role of emotion regulation ability in the link between stress and well-being. Frontiers in Psychology, 6, 19. doi: 10.3389/fpsyg.2015.01632
Field, A. P. (2009). Discovering statistics using SPSS (third edition). London: Sage publications.
Garnefski, N., Boon, S., & Kraaij, V. (2003). Relationships between cognitive strategies of adolescents and depressive symptomatology across different types of life event. Journal of Youth and Adolescence, 32, 401408. doi: 10.1023/a:1025994200559
Garnefski, N., & Kraaij, V. (2006). Relationships between cognitive emotion regulation strategies and depressive symptoms: A comparative study of five specific samples. Personality and Individual Differences, 40, 16591669. doi: 10.1016/j.paid.2005.12.009
Garnefski, N., Kraaij, V., & Spinhoven, P. (2001). Negative life events, cognitive emotion regulation and emotional problems. Personality and Individual Differences, 30, 13111327. doi: 10.1016/s0191-8869(00)00113-6
Garnefski, N., Kraaij, V., & Spinhoven, P. (2002). Handleiding voor het gebruik van de cognitive emotion regulation questionnaire [manual for the use of the cognitive emotion regulation questionnaire] (CERQ). Leiderdorp: Datec.
Garnefski, N., Legerstee, J., Kraaij, V., van den Kommer, T., & Teerds, J. (2002). Cognitive coping strategies and symptoms of depression and anxiety: A comparison between adolescents and adults. Journal of Adolescence, 25, 603611. doi: 10.1006/jado.2002.0507
Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2, 271299.
Kaufman, J., Birmaher, B., Brent, D., Rao, U., Flynn, C., Moreci, P., … & Ryan, N. (1997). Schedule for affective disorders and schizophrenia for school-age children-present and lifetime version (K-SADS-PL): Initial reliability and validity data. Journal of the American Academy of Child and Adolescent Psychiatry, 36, 980988. doi: 10.1097/00004583-199707000-00021
Kopp, C. B. (1989). Regulation of distress and negative emotions: A developmental view. Developmental Psychology, 25, 343354. doi: 10.1037//0012-1649.25.3.343
Kovacs, M. (2011). The Child Depression Inventory 2 (CDI-2). Toronto, Canada: Multi Health Systems.
Kraaij, V., Garnefski, N., Wilde, E. J. de, Dijkstra, A., Gebhardt, W., Maes, S., & Doest, L., ter (2003). Negative life events and depressive symptoms in late adolescence: Bonding and cognitive coping as vulnerability factors? Journal of Youth and Adolescence, 32, 185193. doi: 10.1023/a:1022543419747
Lazarus, R. S. (2006). Stress and emotion: A new synthesis. New York: Springer Publishing Company.
Lougheed, J. P., & Hollenstein, T. (2012). A limited repertoire of emotion regulation strategies is associated with internalizing problems in adolescence. Social Development, 21, 704721. doi: 10.1111/j.1467-9507.2012.00663.x
Lubke, G. H., & Muthén, B. O. (2005). Investigating population heterogeneity with factor mixture models. Psychological Methods, 10, 2139. doi: 10.1037/1082-989X.10.1.21
Marsh, H. W., Lüdtke, O., Trautwein, U., & Morin, A. J. S. (2009). Classical Latent Profile Analysis of academic self-concept dimensions: Synergy of person- and variable-centered approaches to theoretical models of self-concept. Structural Equation Modeling: A Multidisciplinary Journal, 16, 191225. doi: 10.1080/10705510902751010
Mayer, J. D., & Salovey, P. (1997). What is emotional intelligence? In Savoley, P. & Sluyter, D. (Eds.), Emotional development and emotional intelligence: Educational implications (pp. 331). New York: Basic Books.
Muthén, B. O. (2001). Latent variable mixture modeling. In Marcoulides, G. A. & Schumacker, R. E. (Eds.), New developments and techniques in structural equation modeling (pp. 133). Hillsdale, NJ: Lawrence Erlbaum Associates.
Muthén, L. K., & Muthén, B. O. (1998-2015). Mplus User's Guide. Seventh Edition. Los Angeles, CA: Muthén & Muthén
Nolen-Hoeksema, S. (2012). Emotion regulation and psychopathology: The role of gender. Annual Review of Clinical Psychology, doi:10.1146/annurev-clinpsy-032511-143109
Reichart, C. G., Wals, M., & Hillegers, M. (2000). Vertaling K-SADS. Utrecht: H.C. Rümke Groep.
Sameroff, A. (2010). A unified theory of development: A dialectic integration of nature and nurture. Child Development, 81, 622. doi: 10.1111/j.1467-8624.2009.01378.x
Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6, 461464. doi: 10.1214/aos/1176344136
Sclove, L. S. (1987). Application of model-selection criteria to some problems in multivariate analysis. Psychometrika, 52, 333343. doi: 10.1007/bf02294360
Stikkelbroek, Y., Bodden, D. H., Dekovic, M., & van Baar, A. L. (2013). Effectiveness and cost effectiveness of cognitive behavioral therapy (CBT) in clinically depressed adolescents: Individual CBT versus treatment as usual (TAU). BMC Psychiatry, 13. doi: 10.1186/1471-244X-13-314
Stikkelbroek, Y., Bodden, D. H. M., Kleinjan, M., Reijnders, M, & van Baar, A. L. (2016). Adolescent depression and negative life events, the mediating role of cognitive emotion regulation. PLoS ONE, 11. doi: 10.1371/journal.pone.0161062
Tein, J. Y., Coxe, S., & Cham, H. (2013). Statistical power to detect the correct number of classes in Latent Profile Analysis. Structural Equation Modeling: A Multidisciplinary Journal, 20, 640657. doi: 10.1080/10705511.2013.824781
Thompson, R. A. (1991). Emotional regulation and emotional development. Educational Psychology Review, 3, 269307.
Thompson, R. A. (1994). Emotional regulation: A theme in search for definition. Monographs of the Society for Research in Child Development, 59, 2552.
Werner, K., & Gross, J. J. (2009). Emotion regulation and psychopathology: A conceptual framework. In Kring, A. M., & Sloan, D. M. (Eds.), Emotion regulation and psychopathology: A transdiagnostic approach to etiology and treatment (pp. 1337). New York: Guilford Press.
Zimmermann, P., & Iwanski, A. (2014). Emotion regulation from early adolescence to emerging adulthood and middle adulthood: Age differences, gender differences, and emotion-specific developmental variations. International Journal of Behavioral Development, 38, 182194. doi: 10.1177/0165025413515405



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