Hostname: page-component-7c8c6479df-fqc5m Total loading time: 0 Render date: 2024-03-27T15:22:14.769Z Has data issue: false hasContentIssue false

Theories of general personality and mental disorder

Published online by Cambridge University Press:  02 January 2018

C. Duggan*
Affiliation:
East Midlands Centre for Forensic Mental Health, Leicester
J. Milton
Affiliation:
East Midlands Centre for Forensic Mental Health, Leicester
V. Egan
Affiliation:
Department of Psychology, Glasgow Caledonian University
L. McCarthy
Affiliation:
East Midlands Centre for Forensic Mental Health, Leicester
B. Palmer
Affiliation:
Trent Institute for Health Services Research, University of Nottingham Medical School, Queen's Medical Centre, Nottingham
A. Lee
Affiliation:
Department of Psychiatry, University Hospital, Queen's Medical Centre, Nottingham, UK
*
C. Duggan, East Midlands Centre for Forensic Mental Health, University of Leicester, Arnold Lodge, Cordelia Close, Leicester LE5 0LE, UK
Rights & Permissions [Opens in a new window]

Abstract

Background

A major short coming of current research into personality is its failure to explore the relationship between theories of general personality and mental disorder.

Aims

To provide preliminary data to address this deficit.

Method

In the first of two studies, we examined the relationship between the Neuroticism, Extraversion and Other – Five-Factor Inventory (NEO–FFI) and DSM personality disorders in a consecutive series of mentally disordered offenders. In the second, we sought to separate the personality dimension neuroticism from symptoms of depressive disorder in a sample of subjects with current depression.

Results

Factors from the NEO–FFI were associated with different personality disorders in a predictable manner (first study). It was possible to identify a component of neuroticism (i.e. ‘worry’) that could be separated from depressive symptoms (second study).

Conclusions

Theories of general personality theory can enlighten and refine descriptions of abnormal mental states by informing both their aetiology and their prognosis.

Type
Papers
Copyright
Copyright © Royal College of Psychiatrists, 2003 

The title of this article subsumes two different issues that we wish to explore. First, what is the relationship between theories of personality and personality disorder? Second, what is the relationship between theories of personality and mental illness?

Relationship between theories of personality and personality disorder

Personality theories

The main personality theories are those of Cloninger (Reference Cloninger1987), Eysenck (Reference Eysenck1987), Costa & McCrae (Reference Costa and McCrae1990) and Watson et al (Reference Watson, Clark and Harkness1994); and the circumflex models of Wiggins (Reference Wiggins1979) and Kiesler (Reference Kiesler1982), the latter being a circular arrangement of interpersonal dispositions around the orthogonal dimensions of dominance (v. submission) and nurturance (v. hostility). Broadly, the first four models encompass three main dimensions: neuroticism, extra-version and one (or more, depending on the specific theory) other dimension that is less well-defined. Neuroticism, or negative emotionality, represents a tendency to see the world as threatening; extraversion, or positive emotionality, is a tendency to engage and confront the world. The Neuroticism, Extraversion and Other — Five-Factor Inventory (NEO—FFI) is currently the most generally accepted dimensional model of personality and includes the following five factors: neuroticism, extraversion, openness, agreeableness and conscientiousness (Reference Costa and McCraeCosta & McCrae, 1990).

Personality disorder

There are a number of difficulties in the reliability and validity of personality disorder classification (Reference ZimmermanZimmerman, 1994) together with problems of overlap between its different categories (Reference BenjaminBenjamin, 1993). The latter has identified as another major weakness the absence of any theory underpinning the personality disorder prototypes. General personality trait theory, as described above, could provide such a theoretical model so that the personality disorders within DSM are seen as being related to extreme variants of a continuous distribution of general personality traits.

Personality traits and personality disorders

There are surprisingly few studies that have examined the relationship between general personality traits and personality disorders. An exception is a study by Widiger et al (Reference Widiger, Trull and Clarkin1994), who investigated the relationship between the NEO—FFI and the DSM—III—R and DSM—IV. They found that most personality disorders had a strong association with agreeableness and that avoidant personality disorder was a combination of high neuroticism and low extraversion. Another investigation, by Mulder et al (Reference Mulder, Joyce and Sullivan1999), examined the relationship of Cloninger's Temperament and Character Inventory (TCI) scale (of general personality) with DSM—III—R personality disorder (as assessed by the Structured Clinical Interview for DSM—IV Personality Disorders (SCID—II). This found, as predicted, that high novelty-seeking was associated with Cluster B personality disorders, high harm-avoidance with Cluster C, and low reward-dependence and high harm-avoidance with Cluster A.

Relationship between personality theory and mental illness

Here DSM—III is a major advance, in that it separates Axis II conditions (i.e. personality disorder and learning difficulty) from Axis I conditions (i.e. the major mental illness syndromes). This separation of personality (trait-related) difficulties from mental syndromes (state-related) has not only led to important personality disorder research initiatives (Reference SkodolSkodol, 1997) but has also encouraged an examination of the relationship between conditions on these two separate axes.

Relationship of personality vulnerability to mental illness

In an important conceptual article, Akiskal et al (Reference Akiskal, Hirschfield and Yerevanian1983) described four ways in which personality vulnerability might be related to a mental illness (in their discussion, it was depressive disorder). They suggested that a vulnerable personality might cause the disorder (i.e. be pathogenic); affect the course and outcome of the disorder (i.e. be pathoplastic); itself be a consequence of repeated episodes of illness; and be on a continuum where the personality vulnerability is seen as an attenuated form of the Axis I condition.

Neuroticism and depression

If we focus on major depression, neuroticism is the trait that has received the greatest attention in both clinical (Reference Lloyd and LishmanLloyd & Lishman, 1975; Reference ScottScott, 1988) and theoretical publications (Reference MartinMartin, 1985). Neuroticism, for instance, has been shown to exert a pathogenic effect on the development of depression (Reference Angst and ClaytonAngst & Clayton, 1986) and to be raised in those with remitted depression (Reference Hirschfeld, Klerman and LavoriHirschfeld et al, 1989; Reference Maier, Lichtermann and MingesMaier et al, 1992). A number of studies have also shown that raised neuroticism during an episode of depression is associated with a poor long-term outcome (Reference Andrews, Neilson and HuntAndrews et al, 1990; Reference Reich and VasileReich & Vasile, 1993) so that it also exerts a pathoplastic effect. The claim that high neuroticism might be a result of repeated episodes of depression (i.e. the consequential or ‘scar’ hypothesis) has received only equivocal support.

Despite these positive associations, the relationship between raised neuroticism and depression has also been criticised. First, it has been observed that the state of being depressed influences the reporting of the trait of neuroticism, thereby contradicting Eysenck's claim that the trait ought to be independent of an individual's state (Reference Kendell and DiScipioKendell & Discipio, 1968). Second, it has been argued that the association is a measurement artefact because neuroticism and depressive symptoms share a number of items in common. Katz & McGuffin (Reference Katz and McGuffin1987), in a family study, found that whereas individuals with remitted depression had higher neuroticism scores than their first-degree relatives who had never been depressed, this elevation in neuroticism disappeared after they controlled for subclinical depressive symptoms. They concluded that the raised neuroticism in those with remitted depression was due to unmeasured subclinical depression.

Duggan et al (Reference Duggan, Sham and Lee1995), in another family study, confirmed that individuals with remitted depression had higher neuroticism than their first-degree healthy relatives. A factor analysis of the individual items on both the Eysenck Personality Inventory — Neuroticism (EPI—N) and Beck Depression Inventory (BDI; Reference Beck, Ward and MendelsonBeck et al, 1961), measured contemporaneously, showed that it was possible to separate four factors, the first two of which were predominantly depressive symptoms and the second two neuroticism items. Entering these items into a forward logistic regression model with a past history of depression as the dependent variable showed that questions in the EPI—N associated with ‘worrying’ (the key Eysenckian descriptor of neuroticism) were those that were most predictive in identifying individuals who had had previous depression (Reference DugganDuggan, 1995).

The above study suffered from three major deficits: the sample size was only 150, it was highly selective and the individuals were not depressed at the time of measuring their neuroticism. Our two studies sought to replicate these earlier findings while addressing the study's limitations by using a larger sample derived from general practice attendees who were depressed when their BDI and neuroticism were measured. The investigations aim to illustrate the clinical utility of combining personality traits with psychopathological conditions.

METHOD

First study

We used a similar set of measures to the Widiger et al (Reference Widiger, Trull and Clarkin1994) study, to report on the relationship between measures of general personality and personality disorder in a group of male offenders, all of whom had at least one personality disorder. We examined a consecutive series of 34 men with an offending history and a personality disorder who were referred to a regional secure unit for treatment. These subjects were assessed using the self-rated NEO—FFI and the interview version of the International Personality Disorder Examination (IPDE) (Reference Loranger, Sartorius and AndreoliLoranger et al, 1994), administered by two experienced raters (C.D., J.M.) who were blind to the subject's NEO—FFI. The IPDE (interview version), although not a dimensional instrument, can produce a dimensional score by summarising all of the positive scores (0, not present; 1, partly present; 2, definitely present) for each of the traits examined in the different personality disorders. We correlated the IPDE scores obtained in this manner with those reported from the self-report NEO—FFI.

Second study

We examined the relationship between neuroticism and depressive symptoms in a sample of subjects with current depression drawn from a partially randomised patient preference trial designed to examine the efficacy of generic counselling v. antidepressants in a group of general practice attendees diagnosed with major depression. The characteristics of the sample have already been described (Reference Bedi, Lee and HarrisonBedi et al, 2000; Reference Chilvers, Dewey and FieldingChilvers et al, 2001). All the subjects met the research diagnostic criteria for major depression and were asked to complete a BDI and EPI as part of the entry protocol. These data were analysed using Factor Analysis SPSS version 9 for Windows.

RESULTS

First study

The mean age for the subjects examined was 28.3 years (s.d.=8.2 years), and their mean full-scale IQ assessed using the Wechsler Adult Intelligence Scale (Psychological Corporation, 1998) was 88.2 (s.d.=15.0). All had a history of offences and in most this was extensive. The percentages of patients meeting criteria for a definite diagnosis for the various personality disorders were: paranoid, 26.5%; schizoid, 11.8%; schizotypal, 14.7%; antisocial, 76.5%; borderline, 61.8%; histrionic, 17.6%; narcissistic, 8.8%; avoidant, 32.4%; dependent, 11.8%; obsessive—compulsive, 8.8%; passive—aggressive, 44.1%; sadistic, 20.6%; and self-defeating, 8.8%. Comorbidity between the different personality disorders was common. The mean (s.d.) NEO—FFI scores for the sample on the NEO—FFI were: neuroticism, 33.1 (6.9); extraversion, 20.4 (6.7); openness, 24.9 (5.9); agreeableness, 22.2 (7.3); and conscientiousness 25.5 (8.8).

Table 1 is a correlation matrix between the NEO—FFI and the dimensional scores from the IPDE interview. Given the small number of subjects and multiple testing with a likelihood of spurious associations, it is probably more valuable to look at the broad trends rather than individual associations. Here we found that the results do have a face validity in that the one negative dimension (neuroticism) was the only measure that showed positive correlations with all the personality disorders except schizoid personality disorder. Conversely, the other four positive dimensions of personality in the NEO—FFI almost all showed negative correlations with the range of personality disorders investigated. The implications of these findings will be examined further in the Discussion.

Table 1 Correlation matrix of NEO—FFI and IPDE interview (DSM classification-dimensional scores)

NEO—FFI IPDE items
Personality disorder Neuroticism Extraversion Openness Agreeableness Conscientiousness
Paranoid 0.51** -0.41** -0.43** -0.41** -0.30*
Schizoid -0.03 -0.35* -0.09 0.22 -0.19
Schizotypal 0.14 -0.33* -0.23 0.14 -0.08
Antisocial 0.23 -0.02 -0.13 -0.12 -0.30*
Borderline 0.49** -0.09 -0.29* -0.13 -0.30*
Histrionic 0.24 -0.11 -0.38* -0.14 0.08
Narcissistic 0.27 -0.13 -0.23 -0.25 -0.3
Avoidant 0.16 -0.36* -0.22 -0.07 -0.05
Dependent 0.38* -0.21 -0.45** -0.25 -0.13
Compulsive 0.20 -0.35* -0.24 0.00 -0.16
Passive—aggressive 0.30* -0.16 -0.35* -0.26 -0.24
Sadistic 0.20 -0.18 -0.18 -0.07 -0.45**
Self-defeating 0.48** -0.10 0.15 -0.05 0.00

Second study

There were 323 subjects in the trial and 263 (81%) completed the two questionnaires. The mean (s.d.) of their neuroticism and BDI scores were 15.5 (5.0) and 26.1 (8.2), respectively. As there were no differences in baseline or outcome data between the four different groups in the study (i.e. the two randomised and the two preference arms), we collapsed the data and analysed them as a single data-set.

The factor analysis showed that there were ten meaningful factors that accounted for 56% of the variance in those who were entered into the trial and completed the questionnaires (Table 2). The first factor consisted of BDI depressive (i.e. ‘state’) items. Factors 2-6 comprised neuroticism (‘trait’) items. Factor 2, accounting for 11% of the variance, comprised items 43, 23, 40, 14, and 28 of the neuroticism scale that related to ‘worry and guilt’. This replicated the finding in the earlier study identifying these traits as being a key component of neuroticism in those who were currently depressed.

Table 2 Factor analysis of the EPI—N and BDI

Factor Eigenvalue % of variance Cumulative %
1: All Beck items 8.824 19.610 19.610
2: EPI—N items 43, 23, 40, 14, 28 (‘worry and guilt’) 4.946 10.991 30.601
3: EPI—N items 26, 47 (‘nervous/highly strung’) 1.985 4.412 35.013
4: EPI—N items 2, 9, 7 (‘moods’) 1.616 3.592 38.605
5: EPI—N items 50, 16, 52 (‘sensitive’) 1.593 3.540 42.144
6: EPI—N items 45, 55 (‘health’) 1.403 3.119 45.263
7: Beck items 18, 19 (‘appetite/weight’) 1.304 2.897 48.160
8: EPI—N items 33, 35 (‘palpitations/trembling’) 1.252 2.782 50.942
9: EPI—N items 57, 31+Beck item 16 (‘sleeplessness’) 1.221 2.714 53.656
10: EPI—N items 4, 38 (‘irritable’) 1.146 2.546 56.201

These results help illuminate a common clinical dilemma when one attempts to separate trait vulnerability from state in an individual who is depressed. The data suggest that it is possible to identify a subset of items that conform to Eysenck's original core construct of neuroticism (Reference Eysenck and EysenckEysenck & Eysenck, 1975) that is separate from the state of being depressed. Furthermore, we conjecture that it is these items, when elevated in a subject with current depression, that make such an individual vulnerable to a poor long-term course and hence that might be a marker to identify subjects that ought to be the target for longer-term maintenance treatment.

DISCUSSION

DSM—IV, with its biaxial subdivision of mental illness and personality disorder, is currently under review (Reference LiversleyLiversley, 2000). It has been suggested that this separation should be discontinued so that both mental illness and personality disorder are included in the same axis in future revisions of DSM (Reference LiversleyLiversley, 1998). Given our current state of knowledge, we believe that this integration is premature and that our gaze ought to remain bifocal. We argue that retaining this biaxial approach will focus attention on the relationship between conditions on these two axes that might otherwise be lost. A specific interest in personality, moreover, enriches one's understanding of mental illness. Millon & Frances (Reference Millon and Frances1987) put this position eloquently when they wrote justifying the biaxial approach adopted in DSM—III that ‘personality... was assigned a contextual role that made it fundamental to the understanding and interpretation of other psychopathologies’.

Costa & McCrae (Reference Costa, McCrae, Heatherton and Weinberger1994), who were responsible for the development of the NEO—FFI, introduced a model of personality development that includes what they termed ‘basic tendencies’ and ‘characteristic adaptations’. ‘Basic tendencies’ refer to largely inherited dispositions or traits (similar to the elements in the NEO—FFI) that interact with the environment to produce ‘characteristic adaptations’. The latter conjunction involves elements that are relatively fixed (i.e. are characteristic) and others that are fluid (i.e. influenced by the environment).

‘Characteristic adaptations’ are therefore the material that mental health professionals deal with and that deserve our attention. We suggest that the findings from these two studies have two implications. The first concerns aetiology. This model suggests that a personality disorder or a mental illness might result from the interaction of a basic tendency (such as high neuroticism) with a less than optimal environment. Although some basic tendencies (such as a high neuroticism score) could render an individual more prone to a mental disorder, others (e.g. raised extraversion or openness) might exert an opposite effect and be protective. The first of our two studies offers some evidence in support of this view.

The second implication concerns prognosis. Given that the provision of services for those with mental disorder is predicated on the belief that limited resources ought to be targeted at those who most require them, the heterogeneity of mental disorders creates major problems for service planners. It is clear that further categorisation is necessary to identify those who might benefit from specific interventions. We believe that the combination of general personality theory with clinical theories of psychopathology, as shown in our second study, is one way in which more homogeneous entities might be identified. Features of neuroticism might identify, for instance, those individuals who are likely to have a poor long-term course and hence are worthy of special consideration. In addition, we believe that this conjunction would enrich both theoretical formulations and clinical practice.

Clinical Implications and Limitations

CLINICAL IMPLICATIONS

  1. Measures of general personality and personality disorder are related to one another in a predictable manner.

  2. Certain dimensions (e.g. neuroticism) have mainly positive associations with personality disorders, whereas others (e.g. extraversion) have the reverse, indicating that such dimensions may exert either a predisposing or a protective effect in the development of personality disorder.

  3. It has been possible to identify a core construct of neuroticism that is independent of the state of being depressed.

LIMITATIONS

  1. Other measures of personality and psychopathology could have been investigated.

  2. The numbers in the first study were small, so the results can be regarded only as suggestive.

  3. Further refinement and replication of the Eysenck Personality Inventory — Neuroticism and the Beck Depression Inventory data would be necessary to make it clinically relevant.

Footnotes

Paper presented at the second conference of the British and Irish Group for the Study of Personality Disorders (BIGSPD), University of Leicester, UK, 31 January to 3 February 2001.

Declaration of interest

None.

References

Akiskal, H. S. Hirschfield, P. M. A. & Yerevanian, B. I. (1983) The relationship of personality to affective disorders: a critical review. Archives of General Psychiatry, 40, 801810.Google Scholar
Andrews, G. Neilson, M. Hunt, C. et al (1990) Diagnosis, personality and long-term outcome of depression. British Journal of Psychiatry, 157, 1318.Google Scholar
Angst, J. & Clayton, P. (1986) Premorbid personality of depressive, bipolar and schizophrenic patients with special reference to suicidal issues. Comprehensive Psychiatry, 27, 511532.CrossRefGoogle ScholarPubMed
Beck, A. T. Ward, C. H. Mendelson, M. et al (1961) An inventory for measuring depression. Archives of General Psychiatry, 4, 561571.Google Scholar
Bedi, N. Lee, A. Harrison, G. et al (2000) Assessing effectiveness of treatment in depression in primary care: Partially randomised preference trial. British Journal of Psychiatry, 177, 312318.Google Scholar
Benjamin, L. S. (1993) Interpersonal Diagnosis and Treatment of Personality Disorders. New York, USA: Guilford Press.Google Scholar
Chilvers, C. Dewey, M. Fielding, K. et al (2001) Antidepressant drugs and generic counselling for treatment of major depression in primary care: randomised trial with patient preference arms. BMJ, 322, 772775.CrossRefGoogle ScholarPubMed
Cloninger, C. R. (1987) A systematic method for clinical description and classification of personality variants. Archives of General Psychiatry, 44, 573588.CrossRefGoogle ScholarPubMed
Costa, P. T. & McCrae, R. (1990) Personality disorders and the five-factor model of personality. Journal of Personality Disorders, 4, 362371.Google Scholar
Costa, P. T. & McCrae, R. (1994) Set like plaster? Evidence for the stability of adult personality. In Can Personality Change? (eds Heatherton, T. F. & Weinberger, J. L.), pp. 2140. Washington, DC: American Psychological Association.Google Scholar
Duggan, C. (1995) Maudsley Depressives – An Aetiologic and Long-Term Outcome Perspective. MD thesis. Cork: University College, National University of Ireland.Google Scholar
Duggan, C. Sham, P. Lee, A. et al (1995) Neuroticism: a vulnerability marker for depression evidence from a family study. Journal of Affective Disorders, 35, 139143.CrossRefGoogle ScholarPubMed
Eysenck, H. (1987) The definition of personality disorders and the criteria appropriate for their description. Journal of Personality Disorders, 1, 211219.Google Scholar
Eysenck, H. & Eysenck, S. B. G. (1975) Manual of the Eysenck Personality Questionnaire. London: Hodder & Stoughton.Google Scholar
Hirschfeld, R. M. A. Klerman, G. L. Lavori, P. et al (1989) Premorbid personality assessments of first onset of major depression. Archives of General Psychiatry, 46, 345350.CrossRefGoogle ScholarPubMed
Katz, R. & McGuffin, P. (1987) Neuroticism in familial depression. Psychological Medicine, 17, 155161.CrossRefGoogle ScholarPubMed
Kendell, R. E. & DiScipio, W. J. (1968) Eysenck personality inventory scores of patients with depressive illnesses. British Journal of Psychiatry, 114, 767770.CrossRefGoogle ScholarPubMed
Kiesler, D. J. (1982) The 1982 Interpersonal Circle: a taxonomy for complementarity in human transactions. Psychological Review, 90, 185214.CrossRefGoogle Scholar
Liversley, W. J. (1998) Suggestions for a framework for an empirically based classification of personality disorder. Canadian Journal of Psychiatry, 30, 137147.CrossRefGoogle Scholar
Liversley, W. J. (2000) Introduction to critical issues in the classification of personality disorder. Journal of Personality Disorders, 14, 12.Google Scholar
Lloyd, G. G. & Lishman, W. A. (1975) Effect of depression on the speed of recall of pleasant and unpleasant memories. Psychological Medicine, 5, 173180.Google Scholar
Loranger, A. W. Sartorius, N. Andreoli, A. et al (1994) The International Personality Disorder Examination: the WHO/ADAMHA international pilot study of personality disorders. Archives of General Psychiatry, 51, 215224.Google Scholar
Maier, W. Lichtermann, D. Minges, J. et al (1992) Personality traits in subjects at risk for unipolar major depression: a family study perspective. Journal of Affective Disorders, 24, 153164.Google Scholar
Martin, M. (1985) Neuroticism as predisposition toward depression: a cognitive mechanism. Personality and Individual Differences, 6 (3), 353365.Google Scholar
Millon, T. & Frances, A. J. (1987) (editorial). Journal of Personality Disorders, 1, iiii.CrossRefGoogle Scholar
Mulder, R. T. Joyce, P. R. Sullivan, P. F. et al (1999) The relationship among three models of personality psychopathology: DSM–III–R personality disorder, TCI scores and DSQ defences. Psychological Medicine, 29, 943951.Google Scholar
Psychological Corporation (1998) Wechsler Adult Intelligence Scale (3rd edn). London: Psychological Corp oration.Google Scholar
Reich, J. H. & Vasile, R. G. (1993) Effect of personality disorders on the treatment outcome of Axis I conditions: an update. Journal of Nervous and Mental Disease, 181, 475484.CrossRefGoogle ScholarPubMed
Scott, J. (1988) Chronic depression. British Journal of Psychiatry, 153, 287297.Google Scholar
Skodol, A. E. (1997) Classification, assessment and differential diagnosis of personality disorder. Journal of Practical Psychiatry and Behavioural Health, 3, 261274.Google Scholar
Watson, D. Clark, L. A. & Harkness, A. R. (1994) Structures of personality and their relevance to psychopathology. Journal of Abnormal Psychology, 103, 1831.Google Scholar
Widiger, T. A. Trull, T. J. Clarkin, J. F. et al (1994) A description of the DSM–III–Rand DSM–IV personality disorders with the five-factor mode of personality. In Personality Disorders and the Five Factor Model of Personality, pp. 4156. Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Wiggins, J. S. (1979) A psychological taxonomy of trait-descriptive terms: the interpersonal domain. Journal of Personality and Social Psychology, 37, 395412.CrossRefGoogle Scholar
Zimmerman, M. (1994) Diagnosing personality disorders. A review of issues and research methods. Archives of General Psychiatry, 51 (3), 225245.Google Scholar
Figure 0

Table 1 Correlation matrix of NEO—FFI and IPDE interview (DSM classification-dimensional scores)

Figure 1

Table 2 Factor analysis of the EPI—N and BDI

Submit a response

eLetters

No eLetters have been published for this article.