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  5. Can adjustment disorders and depressive episodes be distinguished? Results from ODIN
 
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Can adjustment disorders and depressive episodes be distinguished? Results from ODIN

Author(s)
Casey, Patricia R.  
Maracy, Mohammad  
Kelly, Brendan D.  
et al.  
Uri
http://hdl.handle.net/10197/6005
Date Issued
2006-06
Date Available
2014-10-06T09:41:25Z
Abstract
Background: No large-scale epidemiological study has included adjustment disorders (AD) for consideration yet it is considered to be a common psychiatric diagnosis. Methods:Using a two stage screening method, those above a threshold score for possible caseness on the Beck Depression Inventory (BDI), were interviewed using SCAN to identify those with depressive episode and AD. Variables that might distinguish AD from depressive episode were examined. Results:The prevalence of AD was extremely low with one centre having no cases. Finland, the country with the highest prevalence, only achieved a frequency of 0.8% and 1%, respectively, for urban and rural sites. Logistic regression failed to identify any variables that independently differentiated AD from depressive episode. Findings relating to severity of symptoms using BDI were robust. Limitations: The small sample size might have contributed to a failure to identify distinguishing features between AD and other disorders. Conclusions:Reasons for the failure of even robust results, such as BDI severity, to distinguish AD from depressive episode are considered of which problems in conceptualising AD are the most likely. Further studies are required.
Type of Material
Journal Article
Publisher
Elsevier
Journal
Journal of Affective Disorders
Volume
92
Issue
2-3
Start Page
291
End Page
297
Copyright (Published Version)
2006 Elsevier
Subjects

Adjustment disorder

Depression

Symptom severity

DOI
10.1016/j.jad.2006.01.021
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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AD vs DE ODIN.pdf

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Owning collection
Medicine Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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