Add like
Add dislike
Add to saved papers

Maladaptive personality traits in patients identified at lower-risk and higher-risk for psychosis.

Psychiatry Research 2018 October
The 'at-risk' state for psychosis is a high-risk paradigm that examines factors that contribute to conversion to a first episode of psychosis. Although a multitude of contributing factors have been identified in one's susceptibility to conversion to psychosis, dimensional pathological personality traits have not been examined in 'at-risk' populations. In this study we examine lower- versus higher-risk for psychosis using traits from the DSM-5 Alternative Dimensional Model of Personality Disorders (AMPD) to investigate which AMPD personality traits distinguish those 'at-risk' patients at relatively lower-risk for conversion to psychosis versus those at higher-risk. Remitted schizophrenic patients served as the comparison group. MANOVA analyses revealed significant group differences on the PID-5, with the higher-risk patients scoring higher on two of the five AMPD trait domains - Negative Affectivity and Detachment - compared to lower-risk patients. Maladaptive personality traits from the AMPD may serve as potential risk factor for conversion to psychosis.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app