Salokangas, R. K. R.; Dingemans, P.; Heinimaa, M.; Svirskis, T.; Luutonen, S.; Hietala, J.; Ruhrmann, S.; Juckel, G.; Graf von Reventlow, H.; Linszen, D.; Birchwood, M.; Patterson, P.; Schultze-Lutter, F.; Klosterkötter, J. (2013). Prediction of psychosis in clinical high-risk patients by the Schizotypal Personality Questionnaire. Results of the EPOS project. European psychiatry, 28(8), pp. 469-475. Paris: Elsevier Masson SAS 10.1016/j.eurpsy.2013.01.001
Full text not available from this repository.OBJECTIVE: Schizotypal features indicate proneness to psychosis in the general population. It is also possible that they increase transition to psychosis (TTP) among clinical high-risk patients (CHR). Our aim was to investigate whether schizotypal features predict TTP in CHR patients. METHODS: In the EPOS (European Prediction of Psychosis Study) project, 245 young help-seeking CHR patients were prospectively followed for 18 months and their TTP was identified. At baseline, subjects were assessed with the Schizotypal Personality Questionnaire (SPQ). Associations between SPQ items and its subscales with the TTP were analysed in Cox regression analysis. RESULTS: The SPQ subscales and items describing ideas of reference and lack of close interpersonal relationships were found to correlate significantly with TTP. The co-occurrence of these features doubled the risk of TTP. CONCLUSIONS: Presence of ideas of reference and lack of close interpersonal relations increase the risk of full-blown psychosis among CHR patients. This co-occurrence makes the risk of psychosis very high.
Item Type: |
Journal Article (Original Article) |
---|---|
Division/Institute: |
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Child and Adolescent Psychiatry and Psychotherapy 04 Faculty of Medicine > University Psychiatric Services > University Hospital of Child and Adolescent Psychiatry and Psychotherapy > Research Division |
UniBE Contributor: |
Schultze-Lutter, Frauke |
Subjects: |
100 Philosophy > 150 Psychology 600 Technology > 610 Medicine & health |
ISSN: |
0924-9338 |
Publisher: |
Elsevier Masson SAS |
Language: |
English |
Submitter: |
Myriam Pyrlik |
Date Deposited: |
04 Oct 2013 14:36 |
Last Modified: |
05 Dec 2022 14:11 |
Publisher DOI: |
10.1016/j.eurpsy.2013.01.001 |
PubMed ID: |
23394823 |
URI: |
https://boris.unibe.ch/id/eprint/14650 (FactScience: 221730) |