Author:
Sunderland M.,Mewton L.,Slade T.,Baillie A. J.
Abstract
BackgroundLarge community-based epidemiological surveys have consistently identified high co-morbidity between major depressive episode (MDE) and generalized anxiety disorder (GAD). Some have suggested that this co-morbidity may be artificial and the product of the current diagnostic system. Because of the added direct and indirect costs associated with co-morbidity, it is important to investigate whether methods of diagnostic classification are artificially increasing the level of observed co-morbidity.MethodThe item response theory (IRT) log-likelihood ratio procedure was used to test for differential item functioning (DIF) of MDE symptoms between respondents with and without a diagnosis of GAD in the 2001–2002 National Epidemiological Survey on Alcohol and Related Conditions (NESARC).ResultsThe presence of GAD significantly increased the chances of reporting any symptom of MDE, with odds ratios ranging from 2.54 to 5.36. However, there was no indication of significant DIF of MDE symptoms in respondents with and without GAD.ConclusionsThe lack of any significant DIF indicates that cases with GAD do not present with a distinct MDE symptom profile, one that is consistent with the endorsement of symptoms that are conceptually similar in nature between the two disorders, compared to cases without GAD. This does not support the hypothesis that co-morbidity between MDE and GAD is artificially inflated because of the similar symptom criteria required by the current diagnostic system. Instead, MDE and GAD may be thought of as two distinct diagnostic entities that frequently co-occur because of a shared underlying trait.
Publisher
Cambridge University Press (CUP)
Subject
Psychiatry and Mental health,Applied Psychology
Reference59 articles.
1. Empirical Selection of Anchors for Tests of Differential Item Functioning
2. Yu CY (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. Doctoral thesis, University of California, Los Angeles.
3. Thissen D (2001). IRTLRDIF v. 2. Software for the computation of the statistics involved in item response theory likelihood-ratio tests for differential item functioning (www.unc.edu/~dthissen/dl.html).
4. Item response theory and health outcomes measurement in the 21st century;Hays;Medical Care,2000
Cited by
35 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献