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Predictors of schizophrenia

Evidence from the Northern Finland 1966 Birth Cohort and other sources

Published online by Cambridge University Press:  02 January 2018

Matti Isohanni*
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Erika Lauronen
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Kristiina Moilanen
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Irene Isohanni
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Liisa Kemppainen
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Hannu Koponen
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Jouko Miettunen
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Pirjo Mäki
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Sami Räsänen
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Juha Veijola
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Pekka Tienari
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Karl-Erik Wahlberg
Affiliation:
Department of Psychiatry, University of Oulu, Finland
Graham K. Murray
Affiliation:
Department of Psychiatry, University of Cambridge, UK
*
Dr Matti Isohannni, Department of Psychiatry, University of Oulu, PO Box 5000, Finland. E-mail: matti.isohanni@oulu.fi
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Abstract

Background

Subtle motor, emotional, cognitive and behavioural abnormalities are often present in apparently healthy individuals who later develop schizophrenia, suggesting that some aspects of causation are established before overt psychosis.

Aims

To outline the development of schizophrenia.

Method

We drew on evidence from The Northern Finland 1966 Birth Cohort supplemented by selected findings from other relevant literature.

Results

The main known risk factors in development of schizophrenia are genetic causes, pregnancy and delivery complications, slow neuromotor development, and deviant cognitive and academic performance. However, their effect size and predictive power are small.

Conclusions

No powerful risk factor, premorbid sign or risk indicator has been identified that is useful for the prediction of schizophrenia in the general population.

Information

Type
Research Article
Copyright
Copyright © 2005 The Royal College of Psychiatrists 

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