What’s in a name? Is accurate recognition and labelling of mental disorders by young people associated with better help-seeking and treatment preferences?
Open accessAbstract
Background The possible benefits or harms of using psychiatric labels in the community have been a focus of debate for many decades. The aim of this study was to examine associations between the accuracy of labelling of depression or psychosis by young people aged 12-25 and their help-seeking, treatment and self-help preferences, whilst controlling for a range of potential confounding factors.Methods A randomly selected population sample of 1,207 young people aged 12-25 years from several regions of Victoria, Australia, was interviewed via a telephone survey. The structured interviews used vignettes of a young person with either depression or psychosis followed by a series of questions related to recognition of disorder and recommended forms of help and treatment. Multiple logistic regression analyses were used to measure the association between a range of help-seeking, treatment and self-help preferences and the predictor variables of accuracy of recognition, socio-demographic background and exposure to mental health problems.Results Correct labelling of the disorder was the predictor variable most frequently associated with choice of appropriate help and treatment for both the depression and psychosis vignettes. In regard to self-help preferences, correct labelling of the depression vignette was only associated with being less likely to recommend smoking marijuana to relax. Correct labelling of the psychosis vignette, or labelling it as depression, was associated with being less likely to recommend dealing with the problem alone.Conclusion These findings support the view that improving the use of psychiatric labels by young people is beneficial, because it facilitates appropriate help-seeking and treatment choice. The label may be the cue to activating a schema about appropriate action to take.
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Self-citation
- Authors
- Wright, A., Jorm, A. F., Harris, M. G., & McGorry, P. D.
- Affiliations
- The University of Melbourne (AU)
- Corresponding author
- Jorm, Anthony F.
- ORCID
- Harris, Meredith G.
- Venue
- Social Psychiatry and Psychiatric Epidemiology
- Published
- 2007-02-13
- Volume
- 42
- Issue
- 3
- Pages
- 244-250
- ISSN
- 0933-7954 (ISSN-L)
- 1433-9285
- OpenAlex
- W17450404
- Cited by
- 221
- References
- 32
- Citations by year
- 2026: 1 · 2025: 10 · 2024: 12 · 2023: 12 · 2022: 12 · 2021: 14 · 2020: 15 · 2019: 10 · 2018: 19 · 2017: 9 · 2016: 10 · 2015: 10 · 2014: 15 · 2013: 12 · 2012: 22
- FWCI
- 11.44
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Social Psychiatry and Psychiatric Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Kyoto University Research Information Repository (Kyoto University) (submittedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion)
- 経済論叢
- Funders
- National Health and Medical Research Council
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Social Sciences › Psychology › Clinical Psychology › Psychology and Mental Health
- Health Sciences › Health Professions › Medical Terminology › Medical Research and Practices
- Keywords
- mental disorder recognition, help-seeking, treatment preferences, depression, psychosis, youth, mental health literacy, schema theory, cannabis use, vignettes
- MeSH terms
- Adolescent, Adult, Mental Disorders, Child, Choice Behavior, Cognition, Female, Humans, Male, Mental Health Services, Patient Acceptance of Health Care, Surveys and Questionnaires, Self-Help Groups, Recognition, Psychology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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