Causal attributions and secrecy in unemployed people with mental health problems. (February 2019)
- Record Type:
- Journal Article
- Title:
- Causal attributions and secrecy in unemployed people with mental health problems. (February 2019)
- Main Title:
- Causal attributions and secrecy in unemployed people with mental health problems
- Authors:
- Wigand, Moritz E.
Oexle, Nathalie
Staiger, Tobias
Waldmann, Tamara
Rüsch, Nicolas - Abstract:
- Highlights: Causal attributions of mental illness are associated with secrecy. Genetic and neurobiological disease concepts may increase secrecy. A psychosocial disease concept might reduce secrecy. Abstract: Many people with mental illness struggle with stigma. Secrecy is one coping mechanism to deal with mental illness stigma but has some major pitfalls. In this study with 301 unemployed persons with mental health problems, we assessed whether disease concepts are associated with secrecy. We found that genetic and neurobiological disease models are significantly associated with more secrecy. This might be due to a cognitive bias called genetic essentialism. Critical awareness of biogenetic disease models and programmes helping with disclosure decisions might be helpful.
- Is Part Of:
- Psychiatry research. Volume 272(2019)
- Journal:
- Psychiatry research
- Issue:
- Volume 272(2019)
- Issue Display:
- Volume 272, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 272
- Issue:
- 2019
- Issue Sort Value:
- 2019-0272-2019-0000
- Page Start:
- 447
- Page End:
- 449
- Publication Date:
- 2019-02
- Subjects:
- Stigma -- Unemployment -- Genetic disease model
Psychiatry -- Periodicals
Psychiatry -- periodicals
Psychiatrie -- Périodiques
616.89 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01651781 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.psychres.2018.12.160 ↗
- Languages:
- English
- ISSNs:
- 0165-1781
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6946.263700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11572.xml