Evaluación de las dimensiones de la personalidad depresiva en el PID-5 y de la sintomatología depresiva en una muestra comunitaria
Resumen
El modelo alternativo para la clasificación de los trastornos de la personalidad presentado en el DSM-5 se basa en la hipótesis de continuidad entre la personalidad normal y los trastornos de la personalidad. El objetivo principal de este estudio es analizar la relación entre la sintomatología depresiva y los dominios y facetas del PID-5, especialmente la faceta Depresión. Se utilizó una muestra de conveniencia de la población general (N = 453). Los participantes respondieron al PID-5 y a la CES-D. En un modelo de regresión múltiple que incluía todas las facetas de PID-5, solo la Depresión y la Anhedonia tuvieron un efecto individual significativo en la predicción de la puntuación CES-D. El análisis de correlación sugirió que la Depresión y la Anhedonia podrían considerarse como la definición de los rasgos depresivos de los trastornos de la personalidad y apoyó la continuidad entre estos trastornos y la sintomatología depresiva. Un análisis taxométrico con la faceta Depresión y la puntuación CES-D como indicadores respaldó la naturaleza dimensional de la depresión en un sentido amplio (rasgos depresivos / sintomatología depresiva).
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[data set] Authors. (2019). The data that support the findings of this study are available from the corresponding author upon reasonable request.
Aggen, S. H., Neale, M. C., & Kendler, K. S. (2005). DSM criteria for major depression: Evaluating symptom patterns using latent-trait item response models. Psychological Medicine, 35, 475–487. doi:10.1017/ S0033291704003563
Alnaes, R. & Torgersen, S. (1997). Personality and personality disorders predict development and relapses of major depression. Acta Psychiatrica Scandinavica, 95, 336-342. https://doi.org/10.1111/j.1600-0447.1997.tb09641.x
American Psychiatric Association (1980). Diagnostic and statistical manual of mental disorders (3th ed.). Washington, DC: American Psychiatric Publishing
American Psychiatric Association (1994). Diagnostic and statistical manual of mental disorders (4th ed.). American Psychiatric Publishing
American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Publishing.
Aron, A., Coups, E.J. & Aron, E. N. (2013). Statistics for psychology ( 6th ed.). Pearson Education, Inc.
Beach, S. R. H., & Amir, N. (2003). Is depression taxonic, dimensional, or both? Journal of Abnormal Psychology, 112(2), 228-236. http://dx.doi.org/10.1037/0021-843X.112.2.228
Behn, A., Herpertz, S. C., & Krause, M. (2018). The interaction between depression and personality dysfunction: State of the art, current challenges, and future directions. Introduction to the special section. Psykhe , 27(2), 1-12 . https://doi.org/10.7764/psykhe.27.2.1501
Casey, P., Birbeck, G., McDonagh, C, Horgan, A., Dowrick, C., Dalgard, O., Lethinen, V., Ayuso-Mateos, J. L., Dunn, G., Page, H., Wilkinson, C., Wilkinson, G., Vasquez-Barquero, J. L., the ODIN group (2004). Personality disorder, depression and functioning: results from the ODIN study. Journal of Affective Disorders, 82(2), 277-83. https://doi.org/10.1016/j.jad.2003.11.009
Chamberlain, M. A., & Huprich, S. K. (2011) . The Depressive Personality Disorder Inventory and current depressive symptoms: implications for the assessment of depressive personality. Journal of Personality Disorders, 25(5), 668-680. https://doi.org/10.1521/pedi.2011.25.5.668
Chioqueta, A. P. & Stiles, T. C. (2005). Personality traits and the development of depression, hopelessness, and suicide ideation. Personality and Individual Differences, 38, 1283-129. http://dx.doi.org/10.1016/j.paid.2004.08.010
Coid, J., Yang, M., Tyrer, P., Roberts, A.,& Ulrich, S. (2006). Prevalence and correlates of personality disorder in Great Britain. British Journal of Psychiatry, 188, 423-421.
Corruble, E., Ginestet, D., & Guelfi, J.D. (1996). Comorbidity of personality disorders and unipolar major depression: a review. Journal of Affective Disorders, 37(2-3), 157-70. http://dx.doi.org/10.1016/0165-0327(95)00091-7
Costa, P. T., & McCrae, R. R. (2000). NEO PI-R. Inventário de Personalidade NEO Revisto. Manual profissional. Adaptação de M. P. Lima & A. Simões. Lisboa: CEGOC-TEA.
Costa. P. T., & Widiger, T. A. (2012). Personality disorders and the five-factor model of personality (3rd ed.). American Psychological Association. http://dx.doi.org/10.1037/10140-000
Crego, C., Oltmanns, J. R., & Widiger, T. A. (2018). FFMPD Scales: Comparisons with the FFM, PID-5, and CAT-PD-SF. Psychological Assessment , 30(1), 62–73. http://dx.doi.org/10.1037/pas0000495
De Fruyt, De Clercq, De Bolle, Wille, Markon, & Krueger (2013). General and maladaptive traits in a Five-Factor framework for DSM-5 in a university student sample . Assessment,20(3) 295–307. http://dx.doi.org/10.1177/1073191113475808
Eulálio, M. C., Andrade, T. F., Melo, R. L. P., & Neri, A. L. (2015). A estrutura latente da depressão em idosos: uma análise taxométrica [Latent structure of depression in the elderly: a taxometric analysis]. Cadernos de Saúde Pública, 31(3), 555-564. https://dx.doi.org/10.1590/0102-311x00028914
Franklin, C. L., Strong., D. R., & Greene, R. L. (2002) A Taxometric Analysis of the MMPI-2 Depression Scales. Journal of Personality Assessment, 79(1), 110-121. http://dx.doi.org/10.1207/S15327752JPA7901_07
Goldstein, B., Kotov, R., Perlman, G., Watson, D., & Klein, D. (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. doi:10.1017/S0033291717002719
Gonçalves, B., & Fagulha, T. (2004). The Portuguese version of the Center for Epidemiologic Studies Depression Scale (CES-D). European Journal of Psychological Assessment, 20(4), 339-348. http://dx.doi.org/10.1027/1015-5759.20.4.339
Griffin, S. A., & Samuel, D. B. (2014). A closer look at the lower-order structure of the Personality Inventory for DSM-5: comparison with the five-factor model. Personality Disorders: Theory, Research, and Treatment, 5(4), 406–412. http://dx.doi.org/10.1037/per0000074
Hankin, B. L., Fraley, R. C., Lahey, B. B., & Waldman, I. D. (2005). Is Depression Best Viewed as a Continuum or Discrete Category? A Taxometric Analysis of Childhood and Adolescent Depression in a Population-Based Sample. Journal of Abnormal Psychology, 114(1), 96-110. http://dx.doi.org/10.1037/0021-843X.114.1.96
Haslam, N., & Beck, A. T. (1994). Subtyping major depression: A taxometric analysis. Journal of Abnormal Psychology, 103(4), 686-692. http://dx.doi.org/10.1037/0021-843X.103.4.686
Hayward, R. D., Taylor, W. D., Smoski, M. J., Steffens, D. C., & Payne, M. E. (2013). Association of five-factor model personality domains and facets with presence, onset and treatment outcomes of major depression in older adults. The American Journal of Geriatric Psychiatry: official journal of the American Association for Geriatric Psychiatry, 21(1):88-96. http://dx.doi.org/10.1016/j.jagp.2012.11.012
Hopwood, C. J., Thomas, K. M., Markon, K. E., Wright, A. G. C., & Krueger, R. F. (2012) . DSM-5 personality traits and DSM–IV personality disorders. Journal of Abnormal Psychology, 121(2), 424–432. http://dx.doi.org/ 10.1037/a0026656
IBM Corp. (2017). IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp.
Kim, S. E., Kim, H. N., Cho, J., Kwon, M. J., Chang, Y., et al. (2016) Direct and indirect effects of Five Factor personality and gender on depressive symptoms mediated by perceived stress. PLOS ONE 11(6), e0157204. https://doi.org/10.1371/journal.pone.0157204
Klein, D. N. (1990). Depressive personality: Reliability, validity, and relation to dysthymia. Journal of Abnormal Psychology, 99(4), 412–421. https://doi.org/10.1037/0021-843X.99.4.412
Klein, D. N. (1999). Depressive personality in the relatives of outpatients with dysthymic disorder and episodic major depressive disorder and normal controls. Journal of Affective Disorders, 55(1), 19-27. https://doi.org/10.1016/S0165-0327(98)00195-5
Klein, D. N., Kotov, R., & Bufferd, S. J. (2011). Personality and depression: Explanatory models and review of the evidence. Annual Review of Clinical Psychology, 7, 269-295. https://doi.org/10.1146/annurev-clinpsy-032210-104540
Klein, D. N., Shankman, S. A., & Rose, S. (2006). Ten-year prospective follow-up study of the naturalistic course of dysthymic disorder and double depression. American Journal of Psychiatry, 163(5), 872-880. https://doi.org/10.1176/ajp.2006.163.5.872
Kotov, R., Gamez, W., Schmidt, F.L., & Watson, D. (2010). Linking "Big" Personality Traits to Anxiety, Depressive, and Substance Use Disorders: A Meta-Analysis. Psychological Bulletin 136(5), 768-821. http://dx.doi.org/10.1037/a0020327
Krueger, R. F. (2005). Continuity of Axes I and II: Toward a Unified Model of Personality, Personality Disorders, and Clinical Disorders. Journal of Personality Disorders,. 19(3), 233-261.
Krueger, R. F., Derringer. J., Markon. K. E., Watson. D., & Skodol, A. E. (2012). Initial construction of a maladaptive personality trait model and inventory for DSM-5. Psychological Medicine, 42(9), 1879-1890. http://dx.doi.org/10.1017/S0033291711002674
Krueger, & Markon. K. E. (2014). The role of the DSM-5 personality trait model in moving toward a quantitative and empirically based approach to classifying personality and psychopathology. Annual Review of Clinical Psychology, 10, 477-501. http://dx.doi.org/10.1146/annurev-clinpsy-032813-153732
Krueger, R. F. & Piasecki, T. M. (2002). Toward a dimensional and psychometrically-informed approach to conceptualizing psychopathology. Behaviour Research and Therapy 40, 485–499.
Lewinsohn, P., Solomon, A., Seeley, J. R., & Zeiss, A. (2000). Clinical implications of "subthreshold" depressive symptoms. Journal of Abnormal Psychology, 109(2), 345-351. http://dx.doi.org/10.1037//0021-843X.I09.2.345
Links, P.S. & Eynan, R. (2013). The relationship between personality disorders and Axis I psychopathology: Deconstructing comorbidity. Annual Review of Clinical Psychology, 9, 529-54. http://dx.doi.org/10.1146/annurev-clinpsy-050212-185624
Luyten, P., Blatt, S. J., , Van Houdenhove, B., & Corveleyn, J. (2006). Depression research and treatment: Are we skating to where the puck is going to be? Clinical Psychology Review, 26 , 985–999. . http://dx.doi.org /10.1016/j.cpr.2005.12.003
Maddux, R., Lundh, L.-G., & Bäckström (2011). The Swedish Depressive Personality Disorder Inventory: Psychometrics and clinical correlates from a DSM-IV and proposed DSM-5 perspective. Nordic Journal of Psychiatry 66(3),167-77. http://dx.doi.org /10.3109/08039488.2011.611251
Malouff, J. M., Thorsteinsson, E. B., & Schutte, N. S. (2005). The Relationship Between the Five-Factor Model of Personality and Symptoms of Clinical Disorders: A Meta-Analysis. Journal of Psychopathology and Behavioral Assessment, 27(2), 101-114. http://dx.doi.org/10.1007/s10862-005-5384-y
Meehl, P. E. (1995). Bootstraps taxometrics: Solving the classification problem in psychopathology. American Psychologist, 50(4), 266-275. http://dx.doi.org/10.1037/0003-066X.50.4.266
Petersen, T., Bottonari, K ., Alpert, J. E., Fava, M.,& Nierenberg, A.A.(2001). Use of the five-factory inventory in characterizing patients with major depressive disorder. Comprehensive Psychiatry, 42(6),488-93.
Pikonis, P. A., Choi, S. W., Reise, S. P., Stover, A. M., Riley, W. T., & Cella, D. (2011). Item banks for measuring emotional distress from the patient-reported outcomes measurement information system (PROMIS): Depression, anxiety, and anger. Assessment, 18(3), 263-283. http://dx.doi.org/10.1177/1073191111411667
Pires, R., Sousa Ferreira, A., & Guedes, D. (2017). The psychometric properties of the Portuguese version of the Personality Inventory for DSM-5. Scandinavian Journal of Psychology, 58(5), 468-475. http://dx.doi.org/10.1111/sjop.12383
Radloff, L. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385-401.
Remick, R. A., Sadovnick, A. D., Lam, R. W., Zis, A. P., & Yee (1996). Major depression, minor depression, and double depression: are they distinct clinical entities? American Journal of Medical Genetics, 67(4), 347-353. https://doi.org/10.1002/(sici)1096-8628(19960726)67:4<347::aid-ajmg6>3.0.co;2-j
Ruscio, J., & Ruscio, A. M. (2000). Informing the continuity controversy: A taxometric analysis of depression. Journal of Abnormal Psychology, 109(3), 473-487. http://dx.doi.org/10.1037/0021-843X.109.3.473
Ruscio, J., Ruscio, A. M., & Carney, L. M. (2011) . Performing Taxometric Analysis to Distinguish Categorical and Dimensional Variables. Journal of Experimental Psychopathology. https://doi.org/10.5127/jep.010910
Ruscio, J., Ruscio, A. M., & Meron, M. (2007) Applying the bootstrap to taxometric analysis: Generating empirical sampling distributions to help interpret results. Multivariate Behavioral Research, 42(2), 349-386. http://dx.doi.org/10.1080/00273170701360795
Ruscio, J., Walters, G. D., Marcus, D. K., & Kaczetow, W. (2010). Comparing the relative fit of categorical and dimensional latent variable models using consistency tests. Psychological Assessment, 22(1), 5-21.http://dx.doi.org/10.1037/a0018259
Ruscio, J. & Wang, S.B. ( 2017). RTaxometrics: Taxometric Analysis. R package version 2.3.Available athttps://CRAN.R-project.org/package=RTaxometrics.
Ruscio, J., Zimmerman, M., McGlinchey, J. B., Chelminski, I., & Young, D. (2007) Diagnosing Major Depressive Disorder XI: A taxometric investigation of the structure underlying DSM-IV symptoms. The Journal of Nervous and Mental Disease,195(1) 10-19. http://dx.doi.org/10.1097/01.nmd.0000252025.12014.c4
Ryder, A. G., Bagby, R. M., & Dion, K. L. (2001). Chronic, low-grade depression in a nonclinical sample: depressive personality or dysthymia? Journal of Personality Disorders, 15(1), 84-93. http://dx.doi.org/10.1521/pedi.15.1.84.18641
Ryder, A. G., Bagby, R. M., & Schuller, D. R., (2002). The overlap of depressive personality disorder and dysthymia: a categorical problem with a dimensional solution. Harvard Review of Psychiatry, 10(6), 337-52.
Shankman, S. A., Lewinshon, P. M., Klein, D. N., Small, J. W., Seeley, J. R., & Altman, S. E. (2009). Subthreshold conditions as precursors for full syndrome disorders: a 15-year longitudinal study of multiple diagnostic classes. Journal of Child Psychology and Psychiatry, 50(12), 1485–1494. http://dx.doi:10.1111/j.1469-7610.2009.02117.x
Siever L. J., Davis K. L. (1991). A psychobiological perspective on the personality disorders. The American Journal of Psychiatry, 148(12), 1647–1658.
Skodol, A. E., Clark, L. A., Bender, D.S., Krueger, R. F., Morey, L.C., Verheul, R., … Oldham, J.M. (2011). Proposed changes in personality and personality disorder assessment and diagnosis for DSM-5 Part I: Description and rationale. Personality Disorders: Theory, Research, and Treatment, 2(1), 4-22. http://dx.doi.org/10.1037/a0021891
Sleep, C. E., Hyatt, C. S., Lamkin, J., Maples-Keller, J., & Miller, J. D. (2017). Examining the relations among the DSM-5 alternative model of personality, the five-factor model, and externalizing and internalizing behavior. Personality Disorders: Theory, Research and Treatment. Advance online publication. http://dx.doi.org/10.137/per0000240
Suzuki, T., Griffin, S. A., & Samuel, D. B. (2017). Capturing the DSM–5 alternative personality disorder model traits in the five-factor model’s nomological net. Journal of Personality, 85(2), 220-231. https://doi.org/10.1111/jopy.12235
Suzuki, T., Samuel, D. B., Pahlen, S., & Krueger, R. F. (2015). DSM-5 alternative personality disorder model traits as maladaptive extremes variants of the five factor model: An item-response theory analysis. Journal of Abnormal Psychology, 124(2). 343-354. http://dx.doi.org:10.1037/abn0000035
Thomas, K. M., Yalch, M. M., Krueger, R. F., Wright, A. G., Markon, K. E., & Hopwood, C. J. (2013). The convergent structure of DSM–5 personality trait facets and five-factor model trait domains. Assessment, 20, 308–311. http://dx.doi.org/10.1177/1073191112457589
Trull, T. J. & Widiger, T. A. (2013). Dimensional models of personality : the five-factor model and the DSM-5. Dialogues in Clinical Neuroscience, 15(2), 135-146.
Trull, T. J., & Durret, C. A. (2005). Categorical and dimensional models of personality disorder. Annual Review of Clinical Psychology, 1, 355-380. http://dx.doi.org:10.1146/annurev.clinpsy.1.102803.144009
Tyrer, P. (2007). Personality diatheses: a superior explanation than disorder. Psychological Medicine, 37,1521-1522.
Tyrer P. (2015). Personality dysfunction is the cause of recurrent non-cognitive mental disorder: A testable hypothesis. Personality and Mental Health, 9 ,1-7.
Watters, C. A. & Bagby, R. M. (2018). A meta-analysis of the Five-Factor internal structure of the Personality Inventory for DSM-5. Psychological Assessment, 30(9), 1255-1260. http://dx.doi.org:10.1037/pas0000605
Watters, C. A., Bagby, R. M., & Selbom, M. (2019). Meta-analysis to derive an empirically based set of personality facet criteria for the alternative DSM-5 model for personality disorders. Personality Disorders: Theory, Research, and Treatment, 10(2), 97-104. http://dx.doi.org/10.1037/per0000307
Watters, C. A., Selbom, M., Uliaszek, A. A., & Bagby, R. M. (2019). Clarifying the interstitial nature of facets from the Personality Inventory for DSM–5 using the Five Factor Model of Personality. Personality Disorders: Theory, Research, and Treatment, 10( 4), 330–339. http://dx.doi.org/10.1037/per0000327
Watson, D., Nus, E., & Wu, K. D.(2019). Development and validation of the Faceted Inventory of the Five-Factor Model (FI-FFM). Assessment, 26(1), 17–44. https://doi.org/10.1177/1073191117711022
Wright, Z. E., Pahlen, S., & Krueger, R. F. (2017). Genetic and environmental influences on Diagnostic and Statistical Manual of Mental Disorders (DSM–5) maladaptive personality traits and their connections with normative personality traits. Journal of Abnormal Psychology, 126, 416-428. https://doi.org/ 10.1037/abn0000260
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