Investigation of the geographical distribution of schizophrenia and its relationship to socio-demographic factors is useful for planning services.
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.
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.
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
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 96-0217721
Code Inist : 002B18C06A. Création : 199608.