Millon multiaxial personality patterns differentiate depressed and anxious outpatients

Area of Science:

• Psychiatry
• Clinical Psychology
• Personality Assessment

Background:

• Differentiating between Major Depression (MD) and Generalized Anxiety Disorder (GAD) can be challenging during initial clinical assessments.
• Standard diagnostic criteria and scales are used, but subtle distinctions may exist.
• Personality traits can influence symptom presentation and diagnostic clarity.

Purpose of the Study:

• To investigate personality differences between patients diagnosed with MD and GAD using the Millon Multiaxial Inventory (MCMI-III).
• To determine if specific MCMI-III personality patterns are associated with either MD or GAD diagnoses.
• To explore the utility of the MCMI-III in distinguishing anxious and depressed outpatients in clinical trial settings.

Main Methods:

• Ninety-three patients (47 GAD, 46 MD) were assessed using DSM-IV criteria and structured evaluations.
• The Millon Multiaxial Inventory (MCMI-III) was administered as part of the initial assessment.
• Millon data were analyzed using a cutoff score of 75 to identify significant personality pattern differences between diagnostic groups.

Main Results:

• Statistically significant differences in personality patterns were found between MD and GAD patients.
• Dependent, obsessive-compulsive, self-defeating, and borderline traits were differentiating factors.
• Patients with dependent, self-defeating, and borderline patterns were more likely diagnosed with MD than GAD.
• MD patients exhibited more self-critical behavior and disclosure of clinical information compared to GAD patients.

Conclusions:

• The Millon Multiaxial Inventory (MCMI-III) may effectively detect personality differences between anxious and depressed outpatients.
• Identifying these personality patterns could improve diagnostic accuracy and patient stratification in clinical trials.
• Further research can explore the clinical implications of these MCMI-III-identified personality distinctions.