Empirical evaluation of the MCMI-III personality disorder scales

Personality Pathology in Winter Depression: Prevalence and Treatment Trajectories in Cognitive-Behavioral Therapy and Light Therapy

Personality disorders are highly comorbid with major depression; however, findings are mixed regarding their impact on depression treatment outcomes and trajectories. Limited research has studied personality pathology in winter depression, specifically. This study (1) explored the prevalence of personality pathology in winter depression and (2) examined its effects on winter depression treatment trajectories. Participants were 174 adults with Major Depression, Recurrent with Seasonal Pattern from a randomized clinical trial comparing group cognitive-behavioral therapy for seasonal affective disorder (CBT-SAD) and light therapy. Participants completed the Millon Clinical Multiaxial Inventory-III (MCMI-III; Millon et al., 1994) at baseline. The prevalence of MCMI-III-defined pathological personality traits and personality disorders in this sample was 98/174 (56.3%) with any trait and 65/174 (37.4%) with any disorder. Dependent was the most common elevation (65/174, 37.4%), trait (43/174, 24.7%), and disorder (22/174, 12.6%). Most participants with pathological personality elevations had only one personality disorder (58/174, 33.3%) and one pathological personality trait (82/174, 47.1%). Growth curve analysis revealed personality pathology predicted higher baseline depression scores, but the number of MCMI-III pathological personality elevations (i.e., traits and disorders) and personality disorders did not predict change in depression over the timeframe of pretreatment, weekly during treatment, posttreatment, and follow-ups one and two winters later in CBT-SAD or light therapy. Results suggest that personality pathology is not a negative prognostic indicator or prescriptive factor for winter depression treatment with CBT-SAD or light therapy, which may inform treatment algorithms and decision-making in practice.

International Adaptations of the Millon Clinical Multiaxial Inventory: Construct Validity and Clinical Applications

This article examines the influence of the Millon Clinical Multiaxial Inventory (MCMI) as a clinical and research instrument beyond the borders of the United States. The MCMI's theoretical and empirical grounding, its alignment with the Diagnostic and Statistical Manual of Mental Disorders (DSM), and scales that can be interpreted both categorically and dimensionally, are the primary features that make the test attractive. We begin with studies that evaluated the construct equivalence of the different language adaptations. Data from the most widely researched non English-language forms (Danish, Dutch, and Spanish) show excellent comparability with Millon's original. Nevertheless, significant problems were noted in efforts to create clinical groups that would allow for equivalence of diagnostic accuracy when using the cutoff scores. Although dimensional aspects of the scale scores were not affected by this, the adapted measures might show attenuated diagnostic accuracy compared with Millon's original. Next, we present MCMI studies conducted in clinical settings to document where the adapted tests have made their greatest impact in the international literature. A wide variety of clinical applications demonstrated broad utility, and given the high number of issues addressed, we think Millon's influence will certainly stand the test of time in different domains and settings.

The association between depressive personality and treatment outcome for depression following a group cognitive–behavioral intervention

The present study investigated the association of depressive personality traits to treatment outcome for depression. One hundred and nineteen patients with a primary diagnosis of major depression were divided into high- and low-depressive personality groups, and depression symptomatology was assessed pre- and postparticipation in a standardized group cognitive-behavioral intervention. Analyses revealed poorer pre-state and end-state functioning for the high-depressive personality group. However, rate of improvement pre- to posttreatment was comparable between the two groups. Subsequent multiple regression analyses revealed that when controlling for pretreatment depression severity, depressive personality was not a predictor of depression treatment outcome. Within the methodological parameters of the current study, depressive personality traits were not associated with a poorer response to cognitive-behavioral treatment for depression.

Social workers' ratings of comorbid personality disorders in substance abusers

Clinical diagnoses of personality disorders have been discredited in the literature. However, the artificial dichotomization of dimensions, along with the constraint of having to select only one or a few diagnoses, may have limited the ability of clinical judgment to converge with other clinician's judgments, or with relevant external criteria. Assessment with a dimensional approach to personality disorders may provide improved agreement. In this study, substance abusers were rated by two different staff members involved in their treatment. Inter-rater agreement was moderately high for paranoid, schizotypal, antisocial, and borderline personality disorder, and high-moderate discriminant validity was found for all personality disorders except schizoid and obsessive-compulsive personality disorder.

Personality disorders in substance abusers: validation of the DIP-Q through principal components factor analysis and canonical correlation analysis

BACKGROUND

Personality disorders are common in substance abusers. Self-report questionnaires that can aid in the assessment of personality disorders are commonly used in assessment, but are rarely validated.

METHODS

The Danish DIP-Q as a measure of co-morbid personality disorders in substance abusers was validated through principal components factor analysis and canonical correlation analysis. A 4 components structure was constructed based on 238 protocols, representing antagonism, neuroticism, introversion and conscientiousness. The structure was compared with (a) a 4-factor solution from the DIP-Q in a sample of Swedish drug and alcohol abusers (N = 133), and (b) a consensus 4-components solution based on a meta-analysis of published correlation matrices of dimensional personality disorder scales.

RESULTS

It was found that the 4-factor model of personality was congruent across the Danish and Swedish samples, and showed good congruence with the consensus model. A canonical correlation analysis was conducted on a subset of the Danish sample with staff ratings of pathology. Three factors that correlated highly between the two variable sets were found. These variables were highly similar to the three first factors from the principal components analysis, antagonism, neuroticism and introversion.

CONCLUSION

The findings support the validity of the DIP-Q as a measure of DSM-IV personality disorders in substance abusers.