Literature DB >> 17450404

What's in a name? Is accurate recognition and labelling of mental disorders by young people associated with better help-seeking and treatment preferences?

Annemarie Wright1, Anthony F Jorm, Meredith G Harris, Patrick D McGorry.   

Abstract

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.

Entities:  

Mesh:

Year:  2007        PMID: 17450404     DOI: 10.1007/s00127-006-0156-x

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  26 in total

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Journal:  Schizophr Res       Date:  2001-08-01       Impact factor: 4.939

2.  Recognition of depression and psychosis by young Australians and their beliefs about treatment.

Authors:  Annemarie Wright; Meredith G Harris; John H Wiggers; Anthony F Jorm; Sue M Cotton; Susy M Harrigan; Rosalind E Hurworth; Patrick D McGorry
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4.  Labeling--stereotype--discrimination. An investigation of the stigma process.

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5.  Psychosocial factors associated with help-seeking behavior among depressive adolescents.

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10.  Utilization of health services in relation to mental health problems in adolescents: a population based survey.

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2.  Symptom recognition and help seeking for depression in young adults: a vignette study.

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3.  Public conceptions of schizophrenia in urban Brazil : symptom identification and causal attributions.

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4.  The associations between psychiatric label use and young people's help-seeking preferences: results from an Australian national survey.

Authors:  M B H Yap; N J Reavley; A F Jorm
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5.  Teacher Mental Health Literacy is Associated with Student Literacy in the Adolescent Depression Awareness Program.

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6.  The recognition of mental health disorders and its association with psychiatric scepticism, knowledge of psychiatry, and the Big Five personality factors: an investigation using the overclaiming technique.

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7.  Patient preferences for treatment of major depressive disorder and the impact on health outcomes: a systematic review.

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8.  Labels used by young people to describe mental disorders: which ones predict effective help-seeking choices?

Authors:  Annemarie Wright; Anthony F Jorm; Andrew J Mackinnon
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9.  Prevalence of depression diagnosis and prescription of antidepressants in East and West Germany: an analysis of health insurance data.

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10.  Children with mental versus physical health problems: differences in perceived disease severity, health care service utilization and parental health literacy.

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