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Causal beliefs and attitudes to people with schizophrenia: Trend analysis based on data from two population surveys in Germany

Open access
Angermeyer, Matthias C., Matschinger, Herbert·2005·British Journal of Psychiatry

Abstract

Background: It is a widely shared belief that an increase in mental health literacy will result in an improvement of attitudes towards people with mental illness. Aims: To examine how the German public's causal attributions of schizophrenia and their desire for social distance from people with schizophrenia developed over the 1990s. Method: A trend analysis was carried out using data from two representative population surveys conducted in the Länder constituting the former Federal Republic of Germany in 1990 and 2001. Results: Parallel to an increase in the public's tendency to endorse biological causes, an increase in the desire for social distance from people with schizophrenia was found. Conclusions: The assumption underlying current anti-stigma programmes that there is a positive relationship between endorsing biological causes and the acceptance of people with mental illness appears to be problematic.

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Metadata

Authors
Angermeyer, M. C., & Matschinger, H.
Venue
British Journal of Psychiatry
Published
2005-04
Volume
186
Issue
4
Pages
331-334
ISSN
  • 0007-1250 (ISSN-L)
  • 1472-1465
OpenAlex
W2105611250
Cited by
281
References
2
FWCI
15.92
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Causal beliefs and attitudes to people with schizophrenia: Trend analysis based on data from two population surveys in Germany. https://app.cochat.ai/papers/10.1192/bjp.186.4.331
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Angermeyer, M. C., & Matschinger, H. (2005). Causal beliefs and attitudes to people with schizophrenia: Trend analysis based on data from two population surveys in Germany. British Journal of Psychiatry. https://doi.org/10.1192/bjp.186.4.331

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.