期刊
SOCIAL PSYCHIATRY AND PSYCHIATRIC EPIDEMIOLOGY
卷 42, 期 6, 页码 438-445出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s00127-007-0193-0
关键词
schizophrenia; neighbourhood; spatial epidemiology; bayes; geographical variation
类别
资金
- Medical Research Council [G0600972] Funding Source: Medline
- MRC [G0600972] Funding Source: UKRI
- Medical Research Council [G0600972] Funding Source: researchfish
Background Urbanicity is a risk factor for schizophrenia, but it is unclear whether this risk is homogenous across urban areas. Aims To determine whether the incidence of psychotic disorders varied within an urban area, beyond variation attributable to individual-level characteristics. Methods All incident cases of ICD-10 psychoses from a large, 2-year, epidemiological study of first-episode psychoses in Southeast London were identified. Incidence rates for 33 wards were standardised for age, sex and ethnicity. Bayesian models produced accurate relative risk estimates that were then mapped. Results 295 cases were identified during 565,000 person-years of follow-up. We observed significant heterogeneity in relative risks for broad and non-affective psychoses (schizophrenia), but not for affective psychoses. Highest risks were observed in contiguous wards. Conclusions Neighbourhood variation in the incidence of non-affective psychoses could not be explained by individual-level risk, implicating neighbourhood-level socioenvironmental factors in their aetiology. The findings are consistent with classical sociological models of mental disorders.
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