Understanding Personality Disorders’ Traits Through Schema Modes and Temperament - Preliminary Study in Non-Clinical Population
Julia Zaborowska
Nicolaus Copernicus University, Institute of Psychologyhttps://orcid.org/0009-0000-8982-0272
Abstrakt
Objective: According to Schema Therapy (ST) theory, both temperament and schema modes play acritical role in an individual’s development and functioning. This study
aimed to investigate how schema modes, as conceptualized in ST, and temperament, as defined by Reinforcement Sensitivity Theory (RST)—jointly contribute to the severity of personality disorder symptoms in the general population. Specifically, it how biological predispositions (i.e., temperament) and developed psychological patterns (i.e., schema modes) co-explain dysfunctional personality symptoms in a non-clinical sample. Based on theoretical frameworks and previous single-theory research, it was expected that these factors would show meaningful associations with the severity of personality pathology.
Methods: Data were collected from 43 participants, aged 19–33 years, who completed three questionnaires: a preliminary adaptation of the Schema Mode Inventory (SMI) to assess the intensity of schema modes, the Reinforcement Sensitivity Theory Personality Questionnaire (RST–PQ) to measure temperamental system activity, and the Screening Personality Questionnaire (SCID–5–SPQ) to assess the severity of personality disorders’ symptoms. Partial least squares regression (PLSR) was conducted to analyze nine models corresponding to each personality disorder.
Results: The analysis indicated that specific configurations of schema modes and temperamental systems were significant predictors of personality disorder symptoms in all models. The model for dependent personality disorder symptoms demonstrated the highest R² value, accounting for 62% of the variance in symptom severity.
Conclusions: Preliminary findings highlight the significance of both acquired and innate factors in the expression of pathological personality symptoms in a non-clinical population. These results underscore the need for further validation and the integration of both perspectives into diagnostic and therapeutic approaches.
Słowa kluczowe:
schema therapy, temperament, reinforcement sensitivity theory, personality disorderBibliografia
Afanador, N. L., Tran, T., Blanchet, L., & Baumgartner, R. (2017). Multivariate data analysis laboratory [R package version 1.4]. https://CRAN.R-project.org/package=mvdalab Google Scholar
American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Publishing.
Crossref
Google Scholar
Arntz, A., Rijkeboer, M., Chan, E., Fassbinder, E., Karaosmanoglu, A., Lee, C. W., & Panzeri, M. (2021). Towards a Reformulated Theory Underlying Schema Therapy: Position Paper of an International Workgroup. Cognitive Therapy and Research, 45(6), 1007–1020. https://doi.org/10.1007/s10608-021-10209-5
Crossref
Google Scholar
Bagby, R. M., Costa Jr., P. T., Widiger, T. A., Ryder, A. G., & Marshall, M. (2005). DSM‐IV personality disorders and the Five‐Factor Model of personality: a multi‐method examination of domain‐and facet‐level predictions. European Journal of Personality: Published for the European Association of Personality Psychology, 19(4), 307–324. https://doi.org/10.1002/per.563
Crossref
Google Scholar
Bagby, R. M., Sellbom, M., Costa Jr., P. T., & Widiger, T. A. (2008). Predicting Diagnostic and Statistical Manual of Mental Disorders‐IV personality disorders with the five‐factor model of personality and the personality psychopathology five. Personality and Mental Health, 2(2), 55–69. https://doi.org/10.1002/pmh.33
Crossref
Google Scholar
Bamelis, L. L. M., Renner, F., Heidkamp, D., & Arntz, A. (2011). Extended Schema Mode Conceptualizations for Specific Personality Disorders: An Empirical Study. Journal of Personality Disorders, 25(1), 41–58. https://doi.org/10.1521/pedi.2011.25.1.41
Crossref
Google Scholar
Bernatowicz, D., Izdebski, P., & Litwic-Kaminska, K. (2016). Geneza i ewolucja założeń neuropsychologicznej teorii temperamentu według Jeffreya A. Graya i jego kontynuatorów [The genesis and the evolution of the neuropsychological theory of temperament by Jeffrey A. Gray and his continuers]. Psychologia – Etologia – Genetyka [Psychology – Ethology – Genetics], 33, 33–50. Google Scholar
Bijttebier, P., Beck, I., Claes, L., & Vandereycken, W. (2009). Gray’s Reinforcement Sensitivity Theory as a framework for research on personality–psychopathology associations. Clinical Psychology Review, 29(5), 421–430. https://doi.org/10.1016/j.cpr.2009.04.002
Crossref
Google Scholar
Butcher, J. N., Mineka, S., & Hooley, J. M. (2021). Psychologia zaburzeń: DSM-5 [Abnormal Psychology] (S. Pikiel & A. Sawicka-Chrapkowicz, Trans.). Gdańskie Wydawnictwo Psychologiczne. Google Scholar
Corr, P. J. (2008). Reinforcement Sensitivity Theory (RST): Introduction. In P. J. Corr (Ed.), The reinforcement sensitivity theory of personality (pp. 1–43). Cambridge University Press. https://doi.org/10.1017/CBO9780511819384.002
Crossref
Google Scholar
Corr, P. J., & Cooper, A. J. (2016). The reinforcement sensitivity theory of personality questionnaire (RST–PQ): Development and validation. Psychological Assessment, 28(11), 1427–1440. https://doi.org/10.1037/pas0000273
Crossref
Google Scholar
Cieciuch, J., Łakuta, P., Strus, W., Oltmanns, J. R., & Widiger, T. (2022). Pomiar zaburzeń osobowości w systemie diagnostycznym ICD-11: Polska adaptacja Inwentarza osobowości PiCD [Assessment of personality disorder in the ICD-11 diagnostic system: Polish validation of the Personality Inventory for ICD-11]. Psychiatria Polska [Polish Psychiatry], 56(6), 1185–1202. https://doi.org/10.12740/PP/OnlineFirst/138563
Crossref
Google Scholar
Dobson, K. S. (Ed.). (2009). Handbook of cognitive–behavioral therapies (3rd ed.) Guilford Press. Google Scholar
Dreszer, J., Grochowski, M., Lewandowska, M., Nikadon, J., Gorgol, J., Bałaj, B., Finc, K., Duch, W., Kałamała, P., Chuderski, A., & Piotrowski, T. (2020). Spatiotemporal complexity patterns of resting-state bioelectrical activity explain fluid intelligence: Sex matters. Human Brain Mapping, 41(17), 4846–4865. https://doi.org/10.1002/hbm.25162
Crossref
Google Scholar
Edwards, D. J. A. (2022). Using schema modes for case conceptualization in schema therapy: an applied clinical approach. Frontiers in Psychology, 12, Article 763670. https://doi.org/10.3389/fpsyg.2021.763670
Crossref
Google Scholar
Finogenow, M. (2020). Schema modes and mode models for cluster B and C personality disorders. Psychoterapia [Psychotherapy], 192(1), 45–58. https://doi.org/10.12740/PT/118732
Crossref
Google Scholar
First, M. B., Williams, J .B. W., Benjamin, L. S., & Spitzer, R. L. (2016). Structured Clinical Interview for DSM-5® Personality Questionnaire Disorders (SCID-5-SPQ). American Psychiatric Association. Google Scholar
Gray, J. (1982). Précis of The neuropsychology of anxiety: An enquiry into the functions of the septo-hippocampal system. Behavioral and Brain Sciences, 5(3), 469–484. https://doi.org/10.1017/S0140525X00013066
Crossref
Google Scholar
Gray, J. A., & McNaughton, N. (2000). The Neuropsychology of Anxiety: An Enquiry into the Functions of the Septo–Hippocampal System. Oxford University Press. Google Scholar
Jacob, G. A., & Arntz, A. (2013). Schema therapy for personality disorders—A review. International Journal of Cognitive Therapy, 6(2), 171–185. https://doi.org/10.1521/ijct.2013.6.2.171
Crossref
Google Scholar
Jacobs, I., Lenz, L., Dörner, S., & Wegener, B. (2019). How do schema modes and mode factors align with defense styles and personality disorder symptoms? Personality Disorders: Theory, Research, and Treatment, 10(5), 427–437. https://doi.org/10.1037/per0000329
Crossref
Google Scholar
Jacobs, I., Lenz, L., Wollny, A., & Horsch, A. (2020). The Higher-Order Structure of Schema Modes. Journal of Personality Disorders, 34(3), 348–376. https://doi.org/10.1521/pedi_2018_32_401
Crossref
Google Scholar
Jani, S., & Molaee, M. (2016). The relationship of the Severe Personality disorders with behavioral activation and inhibition systems in patients with paranoid, borderline and schizotypal personality disorders. Journal of Kermanshah University of Medical Sciences, 20(3), 106–110. Google Scholar
Kennis, M., Rademaker, A. R., & Geuze, E. (2013). Neural correlates of personality: An integrative review. Neuroscience & Biobehavioral Reviews, 37(1), 73–95. https://doi.org/10.1016/j.neubiorev.2012.10.012
Crossref
Google Scholar
Lobbestael, J., Arntz, A., & Sieswerda, S. (2005). Schema modes and childhood abuse in borderline and antisocial personality disorders. Journal of Behavior Therapy and Experimental Psychiatry, 36(3), 240–253. https://doi.org/10.1016/j.jbtep.2005.05.006
Crossref
Google Scholar
Lobbestael, J., van Vreeswijk, M., & Arntz, A. (2007). Shedding light on schema modes: A clarification of the mode concept and its current research status. Netherlands Journal of Psychology, 63(3), 76–85. https://doi.org/10.1007/BF03061068
Crossref
Google Scholar
Lobbestael, J., van Vreeswijk, M. F., & Arntz, A. (2008). An empirical test of schema mode conceptualizations in personality disorders. Behaviour Research and Therapy, 46(7), 854–860. https://doi.org/10.1016/j.brat.2008.03.006
Crossref
Google Scholar
Lobbestael, J., van Vreeswijk, M., Spinhoven, P., Schouten, E., & Arntz, A. (2010). Reliability and validity of the short Schema Mode Inventory (SMI). Behavioural and Cognitive Psychotherapy, 38(4), 437–458. https://doi.org/10.1017/S1352465810000226
Crossref
Google Scholar
McNaughton, N., & Corr, P. J. (2004). A two-dimensional neuropsychology of defense: fear/anxiety and defensive distance. Neuroscience & Biobehavioral Reviews, 28(3), 285–305. https://doi.org/10.1016/j.neubiorev.2004.03.005
Crossref
Google Scholar
Mevik, B. H., Wehrens, R., Liland, K. H., & Hiemstra, P. (2019). PLS: Partial least squares and principal component regression. https://CRAN.R-project.org/package=pls Google Scholar
Millon, T., Davis, R. D., Escovar, L. H. J., Meagher, S. E., & Millon, C. (2005). Zaburzenia osobowości we współczesnym świecie [Personality Disorders in the Contemporary World] (H. Grzegołowska-Klarkowska et al., Trans.). Instytut Psychologii Zdrowia. Google Scholar
Oettingen, J., Chodkiewicz, J., Mącik, D., & Gruszczyńska, E. (2017). Polish adaptation of the Young Schema Questionnaire 3 short form (YSQ-S3-PL). Psychiatria Polska [Polish Psychiatry], 52(4), 707–718. https://doi.org/10.12740/PP/OnlineFirst/76541
Crossref
Google Scholar
Oltmanns, J. R., & Widiger, T. A. (2018). A self-report measure for the ICD-11 dimensional trait model proposal: The Personality Inventory for ICD-11. Psychological Assessment, 30(2), 154–169. https://doi.org/10.1037/pas0000459
Crossref
Google Scholar
Pastor, M. C., Ross, S. R., Segarra, P., Montañés, S., Poy, R., & Moltó, J. (2007). Behavioral inhibition and activation dimensions: Relationship to MMPI-2 indices of personality disorder. Personality and Individual Differences, 42(2), 235–245. https://doi.org/10.1016/j.paid.2006.06.015
Crossref
Google Scholar
Roediger, E., Stevens, B., & Brockman, R. (2021). Kontekstualna terapia schematów. Integracyjne podejście do zaburzeń osobowości, dysregulacji emocjonalnej i funkcjonowania w relacjach [Contextual Schema Therapy: An Integrative Approach to Personality Disorders, Emotional Dysregulation, and Interpersonal Functioning]. Gdańskie Wydawnictwo Psychologiczne. Google Scholar
Ross, S. R., Keiser, H. N., Strong, J. V., & Webb, C. M. (2013). Reinforcement sensitivity theory and symptoms of personality disorder: Specificity of the BIS in Cluster C and BAS in Cluster B. Personality and Individual Differences, 54(2), 289–293. https://doi.org/10.1016/j.paid.2012.09.020
Crossref
Google Scholar
Sylvers, P., Lilienfeld, S. O., & LaPrairie, J. L. (2011). Differences between trait fear and trait anxiety: implications for psychopathology. Clinical Psychology Review, 31(1), 122–137. https://doi.org/10.1016/j.cpr.2010.08.004
Crossref
Google Scholar
Taylor, J., Reeves, M., James, L., & Bobadilla, L. (2006), Disinhibitory trait profile and its relation to Cluster B personality disorder features and substance use problems. European Journal of Personality, 20(4), 271–284. https://doi.org/10.1002/per.585
Crossref
Google Scholar
Tyrer, P., Mulder, R., Kim, Y.-R., & Crawford, M. J. (2019). The development of the ICD-11 classification of personality disorders: An amalgam of science, pragmatism, and politics. Annual Review of Clinical Psychology, 15, 481–502. https://doi.org/10.1146/annurev-clinpsy-050718-095736
Crossref
Google Scholar
Wold, S., Sjöström, M., & Eriksson, L. (2001). PLS-regression: A basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems, 58(2), 109–130. https://doi.org/10.1016/S0169-7439(01)00155-1
Crossref
Google Scholar
World Health Organization (WHO). (2022). ICD-11: International classification of diseases (11th ed.). https://icd.who.int/ Google Scholar
Wytykowska, A., Fajkowska, M., Domaradzka, E., & Jankowski, K. S. (2017). Construct validity of the Polish version of the reinforcement sensitivity theory–personality questionnaire. Personality and Individual Differences, 109, 172–180. https://doi.org/10.1016/j.paid.2016.12.054
Crossref
Google Scholar
Yang, M., Coid, J., & Tyrer, P. (2010). Personality pathology recorded by severity: National survey. British Journal of Psychiatry, 197(3), 193–199. https://doi.org/10.1192/bjp.bp.110.078956
Crossref
Google Scholar
Young, J. E. (1990). Cognitive therapy for personality disorders: A schema-focused approach. Professional Resource Exchange Google Scholar
Young, J. E., & Brown, G. (2005). Young Schema Questionnaire-Short Form; Version 3 (YSQ-S3, YSQ) [Database record]. APA PsycTests. https://doi.org/10.1037/t67023-000
Crossref
Google Scholar
Young, J. E., Klosko, J. S., & Weishaar, M. E. (2003). Schema therapy: A practitioner’s guide. The Guilford Press. Google Scholar
Young, J., Klosko, J., & Weishaar, M. (2017). Terapia schematów. Przewodnik praktyka [Schema therapy: A practitioner’s guide] (O. Waśkiewicz, Trans.). Gdańskie Wydawnictwo Psychologiczne. Google Scholar
Zawadzki, B., Popiel, A., Pragłowska, E., & Wrocławska-Warchala, E. (Eds.). (2018). Ustrukturalizowany Wywiad Kliniczny do Badania Zaburzeń Osobowości DSM-5 (SCID–5–PD). Podręcznik klinicysty [Structured clinical interview for DSM-5 personality disorder (SCID-5-PD): Clinician’s manual]. Pracownia Testów Psychologicznych Polskiego Towarzystwa Psychologicznego. Google Scholar
Nicolaus Copernicus University, Institute of Psychology
https://orcid.org/0009-0000-8982-0272
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