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British Medical Bulletin 2005 73-74(1):1-15; doi:10.1093/bmb/ldh046
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Published online 9 June 2005

© The Author 2005. Published by Oxford University Press on behalf of The British Council. All rights reserved. For permissions, please e-mail: journals.permissions@oupjournals.org

Predictors of schizophrenia—a review

Pirjo Mäki#,*,{dagger},{ddagger}, Juha Veijola*,{dagger}{ddagger}, Peter B. Jones§, Graham K. Murray§, Hannu Koponen*,{dagger},{ddagger}, Pekka Tienari*, Jouko Miettunen*,{dagger}, Päivikki Tanskanen*, Karl-Erik Wahlberg*, Johanna Koskinen*, Erika Lauronen* and Matti Isohanni*

* Department of Psychiatry, University of Oulu, Finland, {dagger} Department of Psychiatry, Oulu University Hospital, Finland, {ddagger} Muurola Psychiatric Hospital, Finland, § Department of Psychiatry, University of Cambridge, UK, and Department of Diagnostic Radiology, Oulu University Hospital

# Correspondence to: Dr Pirjo Mäki, Department of Psychiatry, University of Oulu, PO Box 5000, FIN-90014 University of Oulu, Finland. E-mail: Pirjo.Maki{at}oulu.fi

Schizophrenia is an aetiologically heterogeneous syndrome that usually becomes overtly manifest in adolescence and early adulthood, but in many cases subtle impairments in neurointegrative function are present from birth; hence it is considered to be a disorder with a neurodevelopmental component. The strongest risk factor that has been identified is familial risk with genetic loading. Other risk factors include pregnancy and delivery complications, infections during pregnancy, disturbances of early neuromotor and cognitive development and heavy cannabis use in adolescence. Unfortunately, to date it has not been possible to utilize the predictors of the disorder that have been identified in primary preventative interventions in a general population. However, some authors have claimed that in future it might be possible to reduce the risk for developing schizophrenia through general health policy. In clinical settings, it is helpful to map out possible early risk factors, at least familial risk for psychosis, especially in child, adolescent and young adult mental patients. Furthermore, in the future we may have predictive models combining data from genetic factors for schizophrenia, antenatal risk factors, childhood and adolescent development and clinical symptomatology, as well as brain structural and functional abnormalities.


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