Jump to content

Dimensional models of personality disorders

From Wikipedia, the free encyclopedia

This is an old revision of this page, as edited by Entranced98 (talk | contribs) at 21:44, 10 August 2018 (→Clinical diagnosis: Fixed grammar). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

In personality pathology, dimensional models of personality disorders (also known as the dimensional approach to personality disorders, dimensional classification, and dimensional assessments) conceptualize personality disorders as quantitatively rather than qualitatively different from normal personality. They consist of extreme, maladaptive levels of certain personality characteristics (these characteristics are commonly described as facets within broader personality factors or traits). Within the context of personality psychology, a "dimension" refers to a continuum on which an individual can have various levels of a characteristic, in contrast to the dichotomous categorical approach in which an individual does or does not possess a characteristic. According to dimensional models personality disorders are classified according to which characteristics are expressed at which levels. This stands in contrast to the traditional categorical models of classification, which are based on the boolean presence or absence of symptoms and do not take into account levels of expression of a characteristic or the presence of any underlying dimension.

The way in which these diagnostic dimensions should be constructed has been under debate, particularly in the run up to the publication of the DSM-5. A number of dimensional models have been produced, differing in the way in which they are constructed and the way in which they are intended to be interpreted. There are four broad types of dimensional representation, although others also exist:[1]

  1. Dimensional representation of the original DSM categories of personality disorders;
  2. Dimensional representation based on identification of latent traits with the DSM disorders;
  3. Dimensional representation based on the traits from normal personality research;
  4. Representation based on integration of dimensional modals, e.g. by using network analysis.

The dimensional approach is included in Section III ("Emerging Measures and Models") of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), where it is described as an "Alternative DSM-5 Model for Personality Disorders."[2]: p.761–781  The decision to retain the old DSM-IV categorical model of personality disorders in DSM-5 was controversial, and efforts continue to persuade the American Psychiatric Association to replace it with the dimensional model in DSM 5.1.[3]

Usage

Dimensional modals are intended to reflect what constitutes personality disorder symptomology according to a spectrum, rather than in a dichotomous way. As a result of this they have been used in three key ways; firstly to try to generate more accurate clinical diagnoses, secondly to develop more efficacious treatments and thirdly to determine the underlying etiology of disorders.[4]

Clinical diagnosis

The "checklist" of symptoms that is currently used is often criticized for a lack of empirical support[5] and its inability to recognize personality-related issues that do not fit within the current personality disorder constructs or DSM criteria.[6] It has also been criticized for leading to diagnoses that are not stable over time, have poor cross-rater agreement and high comorbidity[7] suggesting that they do not reflect distinct disorders.[8] In contrast the dimensional approach has been shown to predict and reflect current diagnostic criteria, but also add to them.[9] It has been argued to be especially useful in explaining comorbidity which is often high for patients diagnosed with a personality disorders.[7] Following from these claims, the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) incorporates a combined categorical-dimensional approach to diagnosing personality disorders [5] based on the degree to which a person shows elevated levels of particular personality characteristics. However one of the issues in using a dimensional approach to diagnosis has been determining appropriate cut off points so as to know who belongs to the category of people requiring treatment, this is partly why both categorical and dimensional diagnoses are included.[10]

Since the categorical model is widely used in clinical practice and has a significant body of research supporting it, its common usage is compelling to laypeople when they are judging the credibility of professional opinion. Therefore, the dimensional approach is often further criticized for being difficult to interpret and less accessible. It is however widely used in some professional settings as the established approach, for example by forensic psychologists.[11]

Treatment efficacy

Another suggested usage of the dimensional approach is that it can aid clinicians in developing treatment plans and assessing other mechanisms contributing to patient’s difficulty in functioning within the social, personal, or occupational domains. The approach can improve treatment in two ways. Firstly it can enable development of more personalized care plans for individuals based on their adaptive and maladaptive characteristics. Secondly, it means that relevant symptomology which is not considered maladaptive can be considered when developing and evaluating general therapeutic and medical treatment.[4]

Determining cause

Attempts at presenting an etiological description of personality disorders have been avoided due to the influence of the DSM and its principles in psychiatric research (See history section). However some techniques are looking at potential interrelated causalities between symptoms of personality disorders and broader influences including aspects of normal personality (See integrated approaches section).

History

Initial development of a categorical model

The adoption of a categorical approach to personality disorders can be understood in part due to ethical principles within psychiatry. The ‘do no harm principle’ led to Kraepelinian assumptions about mental illness and an emphasis on empirically grounded taxonomic systems that were not biased by unsubstantiated theories about etiology.[12] A taxonomic checklist based on empirical observations rather than bias prone theoretical assumptions developed. It was both categorical and hierarchical, with the diagnosis of a disorder being dependent of the presence of a threshold number categories (usually five) out of a total number (seven to nine)[12] Disorders were organized into three clusters, existing purely to make the disorders easier to remember by associating them with others that have similar symptoms, not based on any theory about their relatedness.[10]

Emerging problems with the categorical model

The dimensional model was developed in response to the limitations of this standard categorical model.[9] The expectations from a Kraepelinian approach were that as systematic research into psychiatric health increased; diagnostic categories would be refined and targeted reliable treatments would be developed.[13] However this reductionist approach to diagnostic categorization has led to disorders with high comorbidity, life course instability, poor treatment efficacy and poor diagnostic agreement.[1] In addition the findings from psychopathological research have led to an increasing body of evidence suggesting overlaps between normal and maladaptive personality and interrelatedness across disorders.[7] These findings have been further supported by genetic[14] and developmental studies[15] which have constantly pointed towards greater interrelatedness then the diagnostic categories can offer. These consistently disconformity findings, alongside the successful shift to a continuous rather than categorical approach in other areas of research, such as regarding ASD, led to consideration of alternative approaches.[16]

Development of methodological techniques

Factor analysis

The development of factor analysis as a popular statistical technique in differential psychology has led to an increase in attempts at finding underlying traits. More recently this has been used in the context of personality disorders both as a means of looking at which personality traits current categorical diagnoses are related to and also as a method of looking for new psychopathological latent variables. Factor analysis has helped illustrate that the full range of relevant personality pathology is not included in the DSM psychiatry nosology. However the technique does not show information about a continuum from normal to clinically relevant personality.[9]

Dimensional analysis

Dimensional classification techniques show individual multidimensional profiles and therefore they can show information about a personality continuum (from normal to atypical), one such technique is Hybrid modeling.[17] Cut off points can be introduced into these modals to show where a diagnosis may lie. However the number of different rating scales that need to be looked at and the lack of interdisciplinary research between statisticians and psychologists has meant that attempts at finding a ‘worldwide’ criteria for dimensional diagnosis using this method has been of limited success.[17]

Comparative analysis

Analyses have been conducted to test the relative fit of categorical and dimensional modals to evaluate whether single diagnostic categories are suited to either status. These types of analysis can include a range of data, including endophenotypes or other genetic or biological markers which increases their utility. Multivariate genetic analysis helps establish how well the current phenotypically developed structure of personality disorder diagnosis fits with the genetic structure underlying personality disorders. Results from these types of analysis support dimensional over categorical approaches.[10]

Network analysis

Network Analysis has been used as a means of integrating information about personality with personality disorders and as well as information about other genetic, biological and environmental influences into a single system and looking at interrelated causalities between them (See integrated modals).

Model development

Adapted categorical models

There are different ways to ‘dimensionalize’ personality disorders, these can be summarised into two categories.

  1. The first involves quantifying DSM-5 pathology. This can be done either based on the degree to which symptoms are present or on how close to a prototypic presentation a patient's presentation may be. The prototype approach includes features not present in the DSM.[18]
  2. The second approach involves identification of DSM disorder traits by means of factor analysis to show underlying dimensions of the personality disorder criteria, this method may also include relevant psychopathology.[17]

Normal personality models

Five-factor model

Main article: Big Five personality traits

The Five-Factor model of personality, which is the most dominant dimensional model,[19] has been used to conceptualize personality disorders and has received various empirical support. Under this approach, extreme levels of the basic personality traits identified by the FFM are what contributes to the maladaptive nature of personality disorders.[20] Over 50 published studies supporting this model have been identified, providing much empirical support for this approach. Most of these studies examine the relationship between scores on separate measures of Big Five trait and personality disorder symptoms.[20]

The Five-Factor model was first extended to personality disorders in the early 1990s, when it was established that a satisfactory profile of each personality disorder in the DSM-III-R could be created through various levels of Big Five traits.[5] Thomas Widiger and his colleagues have demonstrated that many of the central elements of personality disorders can be explained in terms of Big Five traits – for example, borderline personality disorder is characterized by high levels of hostility, trait anxiety and depression, and vulnerability, all of which are facets of neuroticism.[5] This approach also helps to differentiate characteristics of disorders that overlap under the current categorical model, such as avoidant and schizoid personality disorders. The Five-Factor-based approach explains much of that overlap as well as the ways in which they are different.[5] For example, both are characterized primarily by maladaptive excessive introversion, but antisocial personality disorder also includes high levels of facets of neuroticism (such as self-consciousness, anxiety, and vulnerability), while schizotypal personality disorder includes the addition of low assertiveness. The Five-Factor approach also resolves previous anomalies in factor analyses of personality disorders, which makes it a more explanatory model than the current categorical approach, which only includes three factors (odd-eccentric, dramatic-emotional, and anxious-fearful).[5]

A prototype diagnostic technique has been developed in which Five-Factor-based prototypes for each disorder were created, based on the aggregated ratings of personality disorder experts. These prototypes agree well with DSM diagnostic criteria.[20] The Five-Factor prototypes also reflected the high comorbidity rates of personality disorders. This is explained by the idea that various other disorders tap into dimensions that overlap with those of the primary diagnosis.[20]

Another Five-Factor based technique involves diagnosing personality disorders based on clinician ratings of various facets of the five factors (e.g. self-consciousness, which falls under the neuroticism factor; excitement seeking, which falls under the extraversion factor). This technique is partially based on the prototype model, as each facet's "score" is based on its rating of how prototypical it is of each personality disorder, with prototypically low facets (with a score less than 2) reverse-scored. Using this technique, diagnosis is based on an individual's summed score across relevant facets. This summed-score technique has been shown to be as sensitive as the prototype technique, and the easier computation method makes it a useful suggested screening technique.[6]

The Five-Factor assessment of personality disorders has also been correlated with the Psychopathy Resemblance Index of the NEO Personality Inventory, as well as with the individual personality dimensions of the NEO-PI-R.[21] It also resolves several issues regarding the PCL-R psychopathy assessment, as a Five-Factor-based re-interpretation of the PCL-R factor structure shows that the “Aggressive Narcissism” factor taps into facets of low agreeableness (with some contribution of facets of neuroticism and extraversion), and the “Socially deviant lifestyle” factor represents facets of low conscientiousness and low agreeableness. It has also been shown that the sex differences in personality disorders can be reasonably predicted by sex differences in Big 5 traits.[22]

Criticism

The dimension of openness to experience of the Five-Factor model has been criticized for not directly relating to any of the major characteristics of personality disorders in the same way as do the other four dimensions [citation needed]. It has been suggested that schizotypal and histrionic personality disorders could be partially characterized by high levels of openness to experience (in the forms of openness to ideas and feelings, respectively) [citation needed], while obsessive-compulsive, paranoid, schizoid, and avoidant personality disorders can all be conceptualized by extremely low levels of openness [citation needed]. However, there is little to no empirical support for this hypothesis, particularly with schizotypal personality disorder. Additionally, the Openness scale of the NEO-PI-R, which is one of the most widely used measures of Big Five traits, was based on research and theory which viewed openness (such as self-actualization and personal growth) as beneficial, so measurement of extreme openness using the NEO-PI-R, is actually a marker of good mental health.[5]

Seven factor model

The Five-Factor approach has been criticized for being limited in some respects in its conceptualization of personality disorders. This limitation is due to the fact that it does not include evaluative trait terms such as “bad”, “awful”, or “vicious”. Some research has suggested that two evaluative dimensions should be added to the Five-Factor model of personality disorders. Empirical support for this approach comes from factor analyses that include the Big Five factors and evaluative terms. These analyses show that the evaluative terms contribute to two additional factors, one each for positive and negative valence. The addition of these two factors resolves much of the ambiguity of the openness dimension in the Five-Factor approach, as the openness factor changes to a conventionality factor, and adjectives such as “odd”, “strange”, and “weird” (which all characterize schizotypal personality disorder) fall onto the negative valence factor. These results indicate that the inclusion of evaluative terms and valence dimensions can be valuable for better describing the extreme and maladaptive levels of personality traits that comprise personality disorder profiles.[5]

Internalizing/Externalizing model

Main article: Two-factor models of personality

A two-factor model of psychopathology in general has also been suggested, in which most disorders fall along internalizing and externalizing dimensions,[23][24] which encompass mood and anxiety disorders, and antisocial personality and substance use disorders, respectively.[24] Although this approach was originally developed to understand psychopathology in general, it has often been focused to apply to personality disorders, such as borderline personality disorder to help better understand patterns of comorbidity.[25]

Szondi drive theory

Main article: Szondi test

Hungarian psychiatryst Léopold Szondi formulated in 1935 a dimensional model of personality comprising four dimensions and eight drives ("facets" in DSM V terminology). It was based on a drive theory, in which the four dimensions correspond to the independent hereditary circular mental diseases established by the psychiatric genetics of the time:[26] the schizoform (containing the paranoid and the catatonic drives), the manic-depressive (for the "contact" dimension), the paroxysmal (including the epileptic and hysteric drives), and the sexual drive disorder (including the hermaprodite and the sadomasochist drives).[27] The Sex (S) and Contact (C) dimensions can be further grouped as representing pulsions at the border with the outer world, while the Paroximal (P) and Schizoform (Sch) dimensions at the inner part of the psyche.

Integrated models

Network analysis

Network analysis diverts most strongly from the categorical approach because it assumes that the symptoms of a disorder have a causal relationship to each other. This theoretical assumption is made because no mental disorder can currently be understood as existing independently from its symptoms, as other medical diseases can be. According to the network approach symptoms are not looked at as the product of a set of latent disorders, instead they are looked at as mutually interacting and reciprocally reinforcing elements within a wider network.[28] Therefore, a diagnosis is not needed to understand why the symptoms hang together. Clusters of densely connected symptoms can be defined as disorders, but they are inevitably intertwined with related symptoms and cannot be entirely separated. This helps explain the growing body of research showing comorbidity, co-occurring genetic markers and co-occurring symptoms across personality disorders.[29]

Therapeutic consequences

The therapeutic consequence of this is that treatment is targeted at the symptoms themselves and the causal relations between them, not the overarching diagnosis. This is because targeting the diagnosis is trying to treat an unspecified summery of a complex collection of causes. Adopting this attitude sits well with the therapeutic treatments in use at the moment that have the strongest evidence base.[29]

Network construction

Network analysis has its roots in mathematics and physics but is increasingly being used in other areas. Essentially it is a method of analyzing mutually interacting entities by represented them as nodes which are connected to through relations called edges. Edges represent any sort of relation such as a partial correlation. Complex network analyses of other subjects have looked at tipping points, where one system suddenly transitions into another, such as when a tropical forests goes into a savannah. If these could be identified in individual’s psychopathological dynamic networks then they could be used to determine when a person’s network is on the brink of collapse and what can be done to alter it.[29]

Criticisms

There are concerns that the network modal does not have enough parsimony and is too difficult to interpret.[30]

DSM-5

The Personality and Personality Disorder Work Group proposed a combination categorical-dimensional model of personality disorder assessment that will be adopted in the DSM-5. The Work Group's model includes 5 higher-order domains (negative affectivity, detachment, antagonism, disinhibition, and psychoticism) and 25 lower-order facets, or constellations of trait behaviors that constitute the broader domains. The personality domains can also be extended to describe the personality of non-personality disorder patients. Diagnosis of personality disorders will be based on levels of personality dysfunction and assessment of pathological levels of one or more of the personality domains,[31] resulting in classification into one of six personality disorder "types" or Personality Disorder Trait Specified (depending on the levels of traits present), in contrast to the current traditional categorical diagnoses of one of 10 personality disorders (or personality disorder not otherwise specified) based on the presence or absence of symptoms.[32]

Criticism

There are concerns that the addition of dimensional models to DSM-5 may raise confusion. Carole Lieberman has stated that "As it is now, people don't really make use of the subcategories that there are to describe severity of symptoms. Instead, I see this as a tool that insurance companies could well co-opt to try to deny benefits."[33]

References

  1. ^ a b Trull, Timothy J.; Durrett, Christine A. (2005). "Categorical and Dimensional Models of Personality Disorder". Annual Review of Clinical Psychology. 1 (1): 355–380. doi:10.1146/annurev.clinpsy.1.102803.144009.
  2. ^ American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. doi:10.1176/appi.books.9780890425596.156852. ISBN 978-0-89042-555-8.
  3. ^ Skodol, Andrew E.; Leslie C. Morey; Donna S. Bender; John M. Oldham (2013). "The ironic fate of the personality disorders in DSM-5". Personality Disorders: Theory, Research, and Treatment. 4 (4): 342–349. doi:10.1037/per0000029.
  4. ^ a b Livesley, WJ (2007). "A framework for integrating dimensional and categorical classifications of personality disorder". Journal of Personality Disorders. 21 (2): 199–224. doi:10.1521/pedi.2007.21.2.199. PMID 17492921.
  5. ^ a b c d e f g h Widiger, Thomas A. (1993). "The DSM-III—R categorical personality disorder diagnoses: A critique and an alternative". Psychological Inquiry. 4 (2): 75–90. doi:10.1207/s15327965pli0402_1.
  6. ^ a b Miller, Joshua D.; R. Michael Bagby; Paul A. Pilkonis; Sarah K. Reynolds; Donald R. Lynam (2005). "A Simplified Technique for Scoring DSM-IV Personality Disorders With the Five-Factor Model". Assessment. 12 (4): 404–15. doi:10.1177/1073191105280987. PMID 16244121.
  7. ^ a b c Kessler, R. C.; Chiu, W. T.; Demler, O.; Walters, E. E. (2005). "Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication". Archives of General Psychiatry. 62 (6): 617–627. doi:10.1001/archpsyc.62.6.617. PMC 2847357. PMID 15939839.
  8. ^ Brown, TA; Barlow, DH (2005). "Dimensional versus categorical classification of mental disorders in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders and beyond: comment on the special section". Journal of Abnormal Psychology. 114 (4): 551–6. doi:10.1037/0021-843X.114.4.551. PMID 16351377.
  9. ^ a b c De Clercq, Barbara; De Fruyt, Filip; Widiger, Thomas A (2009). "Integrating a developmental perspective in dimensional models of personality disorders". Clinical Psychology Review. 29 (2): 154–162. doi:10.1016/j.cpr.2008.12.002.
  10. ^ a b c Krueger, RF; Skodol, AE; Livesley, WJ; Shrout, PE; Huang, Y (2007). "Synthesizing dimensional and categorical approaches to personality disorders: refining the research agenda for DSM-V Axis II". International Journal of Methods in Psychiatric Research. 16 (Suppl 1): S65–73. doi:10.1002/mpr.212. PMID 17623397.
  11. ^ Weiner, Irving B. (2003). Handbook of Psychology, Volume 11, Forensic Psychology. Vol. 11. Hoboken, NJ: Wiley. pp. 120–121. ISBN 0-471-38321-X.
  12. ^ a b Trull, TJ; Tragesser, SL; Solhan, M; Schwartz-Mette, R (2007). "Dimensional models of personality disorder: Diagnostic and Statistical Manual of Mental Disorders Fifth Edition and beyond". Current Opinion in Psychiatry. 20 (1): 52–6. doi:10.1097/YCO.0b013e328010c838. PMID 17143083.
  13. ^ Sapey, B (2011). "Doctoring the mind: why psychiatric treatments fail". Disability & Society. 26 (2): 247–248. doi:10.1080/09687599.2011.544066.
  14. ^ Amad, A.; Ramoz, N.; Thomas, P.; Jardri, R.; Gorwood, P. (2014). "Genetics of borderline personality disorder: systematic review and proposal of an integrative model". Neuroscience & Biobehavioral Reviews. 40: 6–19. doi:10.1016/j.neubiorev.2014.01.003. PMID 24456942.
  15. ^ Becker, D. F.; Grilo, C. M.; Edell, W. S.; McGlashan, T. H. (2014). "Comorbidity of borderline personality disorder with other personality disorders in hospitalized adolescents and adults". {{cite journal}}: Cite journal requires |journal= (help)
  16. ^ Lord, C.; Bishop, S. L. (2015). "Recent Advances in Autism Research as Reflected in DSM-5 Criteria for Autism Spectrum Disorder". Annual Review of Clinical Psychology.
  17. ^ a b c Helzer, J. E., Kraemer, H. C., Krueger, R. F., Wittchen, H. U., Sirovatka, P. J., & Regier, D. A. (Eds.). (2009). Dimensional approaches in diagnostic classification: Refining the research agenda for DSM-V. American Psychiatric Pub.
  18. ^ Shedler, J.; Westen, D. (2004). "Dimensions of personality pathology: an alternative to the five-factor model". American Journal of Psychiatry. 161 (10): 1743–1754. doi:10.1176/appi.ajp.161.10.1743.
  19. ^ Magnavita, ed. by Jeffrey J. (2004). Handbook of personality disorders : theory and practice. Hoboken, NJ [u.a.]: Wiley. p. 7. ISBN 0-471-20116-2. {{cite book}}: |first= has generic name (help)
  20. ^ a b c d Lynam, Donald R.; Thomas A. Widiger (2001). "Using the five-factor model to represent the DSM-IV personality disorders: An expert consensus approach". Journal of Abnormal Psychology. 110 (3): 401–412. doi:10.1037/0021-843X.110.3.401. PMID 11502083.
  21. ^ Miller, Joshua D.; Donald R. Lynam; Thomas A. Widiger; Carl Leukefeld (April 2001). "Personality disorders as extreme variants of common personality dimensions: Can the five-factor model adequately represent psychopathy?". Journal of Personality. 69 (2): 253–276. doi:10.1111/1467-6494.00144. PMID 11339798.
  22. ^ Lynam, Donald R.; Thomas A. Widiger (2007). "Using a general model of personality to understand sex differences in the personality disorders". Journal of Personality Disorders. 21 (6): 583–602. doi:10.1521/pedi.2007.21.6.583. PMID 18072861.
  23. ^ Krueger, Robert F.; Avshalom Caspi; Terrie E. Moffitt; Phil A. Silva (1998). "The structure and stability of common mental disorders (DSM-III-TR): A longitudinal-epidemiological study". Journal of Abnormal Psychology. 107 (2): 216–227. doi:10.1037/0021-843X.107.2.216. PMID 9604551.
  24. ^ a b Eaton, Nicholas R.; Katherine M. Keyes; Robert F. Krueger; Steve Balsis; Andrew E. Skodol; Kristian E. Markon; Bridget F. Grant; Deborah S. Hasin (February 2012). "An invariant dimensional liability model of gender differences in mental disorder prevalence: Evidence from a national sample". The Journal of Abnormal Psychology. 121 (1): 282–288. doi:10.1037/a0024780. PMC 3402021. PMID 21842958.
  25. ^ Eaton, N.R.; R.F. Krueger; K.M. Keyes; A.E. Skodol; K.E. Markon; B.F. Grant; D.S. Hasin (2011). "Borderline personality disorder co-morbidity: relationship to the internalizing-externalizing structure of common mental disorders". Psychological Medicine. 41 (5): 1041–1050. doi:10.1017/S0033291710001662. PMC 3193799. PMID 20836905.
  26. ^ Ellenberger, H. (1970) The Discovery of the Unconscious, p.866
  27. ^ Szondi (1972) pp.34-6 quotation:

    Ein Triebststem muß aus Triebgegensatzpaaren konstituiert werden, die einerseits in jedem Individuum vorhanden sind, andererseits mit den pathopsychologischen, d.h. Psychiatrischen Erbkreisen genau übereinstimmen. (...) Die psychiatrische Vererbungslehre hat bisher drei selbständige Erb Kreise der Geisteskrankheiten festgestellt.
  28. ^ Borsboom, D.; Cramer, A. O.; Schmittmann, V. D.; Epskamp, S.; Waldorp, L. J. (2011). "The small world of psychopathology". PLOS ONE. 6 (11): e27407. doi:10.1371/journal.pone.0027407.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  29. ^ a b c Borsboom, D.; Cramer, A. O. (2013). "Network analysis: an integrative approach to the structure of psychopathology". Annual Review of Clinical Psychology. 9: 91–121. doi:10.1146/annurev-clinpsy-050212-185608.
  30. ^ Wright, A. G.; Krueger, R. F.; Hobbs, M. J.; Markon, K. E.; Eaton, N. R.; Slade, T. (2013). "The structure of psychopathology: Toward an expanded quantitative empirical model". Journal of Abnormal Psychology. 122 (1): 281–294. doi:10.1037/a0030133. PMC 3570590. PMID 23067258.
  31. ^ "Personality Disorders". DSM-5 Development - Proposed revisions. American Psychiatric Association. Archived from the original on 13 May 2012. Retrieved 18 April 2012. {{cite web}}: Unknown parameter |deadurl= ignored (|url-status= suggested) (help)
  32. ^ Miller, Joshua D.; Jennifer Q. Morse; Kimberly Nolf; Stephanie D. Stepp; Paul A. Pilkonis (March 19, 2012). "Can DSM–IV Borderline Personality Disorder Be Diagnosed via Dimensional Personality Traits? Implications for the DSM-5 Personality Disorder Proposal". The Journal of Abnormal Psychology. 121 (4): 944–950. doi:10.1037/a0027410. PMC 3690497. PMID 22428791.
  33. ^ Gever, John (February 10, 2010). "DSM-V Draft Promises Big Changes in Some Psychiatric Diagnoses". Retrieved 16 April 2012.

Further reading

  • Brown, TA; Barlow, DH (November 2005). "Dimensional versus categorical classification of mental disorders in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders and beyond: comment on the special section". Journal of Abnormal Psychology. 114 (4): 551–6. doi:10.1037/0021-843X.114.4.551. PMID 16351377.
  • De Clercq, Barbara; De Fruyt, Filip; Widiger, Thomas A. (2009). "Integrating a developmental perspective in dimensional models of personality disorders". Clinical Psychology Review. 29 (2): 154–162. doi:10.1016/j.cpr.2008.12.002. ISSN 0272-7358.
  • Harkavy-Friedman, J. M. (2009). "Dimensional Approaches in Diagnostic Classification: Refining the Research Agenda for DSM-V". American Journal of Psychiatry. 166 (1): 118–119. doi:10.1176/appi.ajp.2008.08060939. ISSN 0002-953X.
  • Helzer, John E.; van den Brink, Wim; Guth, Sarah E. (2006). "Should there be both categorical and dimensional criteria for the substance use disorders in DSM-V?". Addiction. 101: 17–22. doi:10.1111/j.1360-0443.2006.01587.x. ISSN 0965-2140.
  • Krueger, RF; Skodol, AE; Livesley, WJ; Shrout, PE; Huang, Y (2007). "Synthesizing dimensional and categorical approaches to personality disorders: refining the research agenda for DSM-V Axis II". International Journal of Methods in Psychiatric Research. 16 Suppl 1: S65-73. doi:10.1002/mpr.212. PMID 17623397.
  • Livesley, WJ (April 2007). "A framework for integrating dimensional and categorical classifications of personality disorder". Journal of Personality Disorders. 21 (2): 199–224. doi:10.1521/pedi.2007.21.2.199. PMID 17492921.
  • Livesley, WJ (April 2005). "Behavioral and molecular genetic contributions to a dimensional classification of personality disorder". Journal of Personality Disorders. 19 (2): 131–55. doi:10.1521/pedi.19.2.131.62631. PMID 15899713.
  • Paris, Joel (April 2005). "Neurobiological dimensional models of personality: a review of the models of Cloninger, Depue, and Siever". Journal of Personality Disorders. 19 (2): 156–70. doi:10.1521/pedi.19.2.156.62629. PMID 15899714.
  • Pukrop, R (2008). "[Toward DSM-V: new approaches for the classification of personality disorders]". Praxis der Kinderpsychologie und Kinderpsychiatrie (in German). 57 (8–9): 610–24. PMID 19070203.
  • Ryder, AG; Bagby, RM; Schuller, DR (Nov–Dec 2002). "The overlap of depressive personality disorder and dysthymia: a categorical problem with a dimensional solution". Harvard Review of Psychiatry. 10 (6): 337–52. doi:10.1093/hrp/10.6.337. PMID 12485980.
  • Sprock, J (September 2003). "Dimensional versus categorical classification of prototypic and nonprototypic cases of personality disorder". Journal of Clinical Psychology. 59 (9): 991–1014. doi:10.1002/jclp.10184. PMID 12945064.
  • Trull, Timothy J.; Durrett, Christine A. (2005). "Categorical and Dimensional Models of Personality Disorder". Annual Review of Clinical Psychology. 1 (1): 355–380. doi:10.1146/annurev.clinpsy.1.102803.144009. ISSN 1548-5943.
  • Trull, TJ; Tragesser, SL; Solhan, M; Schwartz-Mette, R (January 2007). "Dimensional models of personality disorder: Diagnostic and Statistical Manual of Mental Disorders Fifth Edition and beyond". Current Opinion in Psychiatry. 20 (1): 52–6. doi:10.1097/YCO.0b013e328010c838. PMID 17143083.
  • Verheul, R (June 2005). "Clinical utility of dimensional models for personality pathology". Journal of Personality Disorders. 19 (3): 283–302. doi:10.1521/pedi.2005.19.3.283. PMID 16175737.
  • Widiger, TA (June 2007). "Dimensional models of personality disorder". World Psychiatry. 6 (2): 79–83. PMC 2219904. PMID 18235857.
  • Widiger, TA; Simonsen, E (April 2005). "Alternative dimensional models of personality disorder: finding a common ground". Journal of Personality Disorders. 19 (2): 110–30. doi:10.1521/pedi.19.2.110.62628. PMID 15899712.
  • Widiger, TA; Livesley, WJ; Clark, LA (September 2009). "An integrative dimensional classification of personality disorder". Psychological Assessment. 21 (3): 243–55. doi:10.1037/a0016606. PMID 19719338.
  • Widiger, Thomas A.; Frances, Allen J. (2002). "Toward a dimensional model for the personality disorders.". Personality disorders and the five-factor model of personality (2 ed.). pp. 23–44. doi:10.1037/10423-003.
Retrieved from "https://en.wikipedia.org/w/index.php?title=Dimensional_models_of_personality_disorders&oldid=854375876"