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  1. The Camden Schizophrenia Surveys. II. High prevalence of schizophrenia in an inner London borough and its relationship to socio-demographic factors.

    Article - En anglais

    Background

    Investigation of the geographical distribution of schizophrenia and its relationship to socio-demographic factors is useful for planning services.

    Method

    Individuals with schizophrenia (n=980) were identified by key informants within an inner London borough and point prevalence calculated for broad, Feighner and DSM-III-R schizophrenia.

    The distribution of cases was tested for significant variation using the Poisson process model.

    Regression models using theJarman-8 score and its component variables were tested for their ability to predict the prevalence of schizophrenia.

    Results

    A high point prevalence of schizophrenia (5.3 per 1000 resident population) was demonstrated.

    Case distribution showed a marked and significant variation associated with socio-demographic factors.

    The prediction of prevalence was more accurate for broad than for narrower definitions of schizophrenia ; unemployment rate performed best.

    Conclusions

    Unemployment rates and Jarman-8 scores may provide crude estimates for resource allocation in planning mental health services, highlighting the need for additional services in deprived inner city areas.

    Mots-clés Pascal : Schizophrénie, Psychose, Enquête, Epidémiologie, Prévalence, Royaume Uni, Europe, Milieu urbain, Démographie, Statut socioéconomique, Variation géographique, Santé mentale, Homme

    Mots-clés Pascal anglais : Schizophrenia, Psychosis, Inquiry, Epidemiology, Prevalence, United Kingdom, Europe, Urban environment, Demography, Socioeconomic status, Geographical variation, Mental health, Human

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 96-0217721

    Code Inist : 002B18C06A. Création : 199608.