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Schizophrenia: why is it important in South-East London? Robin M Murray Professor of Psychiatric Research Institute of Psychiatry at the Maudsley, Kings.

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Presentation on theme: "Schizophrenia: why is it important in South-East London? Robin M Murray Professor of Psychiatric Research Institute of Psychiatry at the Maudsley, Kings."— Presentation transcript:

1 Schizophrenia: why is it important in South-East London? Robin M Murray Professor of Psychiatric Research Institute of Psychiatry at the Maudsley, Kings College, London robin.murray@kcl.ac.uk

2 Self-portrait (11-16 April)

3 18 May ‘My mind seems to be thought-broadcasting very severely and it is beyond my will to do anything about it. I have summed this up by painting my brain as an enormous mouth’ ‘My mind seems to be thought-broadcasting very severely and it is beyond my will to do anything about it. I have summed this up by painting my brain as an enormous mouth’

4 South East London Bristol Nottingham All individuals 16-65 years living in three defined city areas who presented to psychiatric services with their first psychotic episode ÆSOP – epidemiological study of first-episode psychosis in three English Cities London20.1 Nottingham7.7 Bristol7.2 Incidence rate for schizophrenia per 100,000 Kirkbride et al 2006, Arch Gen Psychiatry

5 Schizophrenia in South-East London Kirkbride, Fearon, Morgan et al., 2007

6 All PsychosesSchizophrenia Incidence Rate*Rate RatioIncidence Rate*Rate Ratio White British20-7- Black Caribbean1416.7719.1 Black African Asian (all) 81 32 4.1 1.5 40 11 5.8 1.4 *Rates per 100,000 per year; age standardised Fearon, Kirkbride, Morgan et al., 2006 Ethnicity ÆSOP

7 Substances ever used in Patients with First Episode Psychosis Alcohol (%) Patients (N=596) 68 Controls (N=333) 89 P value0.001 Di Forti et al, 2009 -12

8 Substances ever used in Patients with First Episode Psychosis Tobacco (%) Patients (N=596) 70.4 Controls (N=333) 47.6 P value<0.00 Di Forti et al, 2009 -12

9 Substances ever used in Patients with First Episode Psychosis Alcohol (%) Tobacco (%) Stimulants (%) Patients (N=596) 38.1 Controls (N=333) 27.9 P value0.009 Di Forti et al, 2009 -12

10 Cannabis and Risk of being (OR adjusted for gender, age, ethnicity, Stimulants, level of Ed) OR


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