The Relationship between PID-5 Personality Traits and Mental States

The diagnosis of psychosis is a challenge for the scientific community, both in terms of its definition and treatment. Some recent studies have investigated the relationship between personality and psychosis onset to prevent or intervene early. Materials and Methods: Sixty young adults were recruited during their first access in 2019 near the Community Mental Health Service of Niguarda Hospital, Milan, Italy. The assessment included the Social and Occupational Functioning Assessment Scale (SOFAS), the Global Assessment of Functioning (GAF) (clinician scales), the 16-item Version of the Prodromal Questionnaire (PQ-16), the Personality Inventory for DSM-5 (PID-5) (self-report), and a clinical session. Statistical analysis was performed by SPSS. Results: The results show a negative correlation between the Detachment domain and the GAF scores. Correlational analysis also highlights that all PID-5 domains, except for Antagonism, have positive correlations with high scores in the PQ-16. The multivariate analysis of variance showed that patients diagnosed with versus without a psychotic disorder significantly differed on Detachment, Antagonism and Psychoticism PID-5 domains. Conclusions: The involvement of the personality construct in psychopathological development is displayed. In particular, higher levels of Detachment and Psychoticism can distinguish people who are more vulnerable to psychosis or who already have overt psychosis from those who do not have a psychotic predisposition. The study highlights the fundamental role of personality traits, emerging from PID-5, to distinguish young adults at risk of onset.

https://www.mdpi.com/1010-660X/57/1/33

Leave a Reply, All comments will be moderated - Many thanks for your contribution

Please log in using one of these methods to post your comment:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.

%d bloggers like this: