Predicting Clinical Personality Patterns Based on Personality Traits in Clients of Counseling Centers
Keywords:
Personality traits, Clinical personality patterns, Neuroticism, Agreeableness, Conscientiousness, Counseling interventions, Predictive relationships, Mental healthAbstract
Purpose: The relationship between personality traits and clinical personality patterns is crucial in understanding and improving therapeutic interventions in counseling settings. This study aims to explore how personality traits predict clinical personality patterns among clients attending counseling centers in Shahroud, thereby informing more effective and personalized counseling strategies.
Methodology: This descriptive-correlational study involved 107 clients from public and private counseling centers in Shahroud. Participants, aged between 18 and 50, completed the Millon Clinical Multiaxial Inventory-III (MCMI-III) and the Big Five Personality Traits questionnaire. Data were analyzed using Pearson correlation coefficients and stepwise regression analysis to identify significant predictors among the personality traits for various clinical personality disorders.
Findings: Neuroticism was found to be a significant predictor of Schizoid, Avoidant, Borderline, Paranoid, and Schizotypal Personality Disorders. Conversely, Agreeableness and Conscientiousness emerged as protective factors, inversely related to Narcissistic and Histrionic Personality Disorders. These results suggest that emotional dysregulation associated with high Neuroticism predisposes individuals to a range of personality disorders, while interpersonal warmth and self-discipline mitigate the risk.
Conclusion: The study highlights the significant impact of personality traits on clinical personality patterns, emphasizing the importance of incorporating personality assessments into counseling practice. By understanding these relationships, counselors can tailor interventions to clients' unique personality profiles, enhancing therapeutic outcomes and promoting better mental health. Future research should aim to replicate these findings in diverse populations and explore longitudinal impacts and other personality frameworks.
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