Literature DB >> 22906117

Bipolar disorder in a national survey using the World Mental Health Version of the Composite International Diagnostic Interview: the impact of differing diagnostic algorithms.

P B Mitchell1, A K Johnston, A Frankland, T Slade, M J Green, G Roberts, A Wright, J Corry, D Hadzi-Pavlovic.   

Abstract

OBJECTIVE: The World Mental Health Version of the Composite International Diagnostic Interview (WMH-CIDI) DSM-IV bipolar disorder diagnostic algorithms were recalibrated in about 2006 following evidence of over-diagnosis of bipolar I disorder. There have been no reports of the impact of this recalibration on epidemiological findings.
METHOD: Data were taken from the 2007 Australian National Survey of Mental Health and Wellbeing. Findings for cases identified by the recalibrated bipolar disorder definition were contrasted against those identified by the un-recalibrated definition.
RESULTS: The 12-month prevalence of recalibrated bipolar disorder and un-recalibrated bipolar disorder were 0.9% and 1.7% respectively. The un-recalibrated bipolar disorder group was younger and more likely to have never married than the recalibrated bipolar disorder group. They were also more likely to have a comorbid alcohol use disorder, substance use disorder and asthma or arthritis. While they were more likely to have at least severe interference in at least one of the Sheehan Scale domains of functioning, they were less likely to have made a suicide attempt. Similarly, they were less likely to have consulted a psychiatrist.
CONCLUSION: It is not possible to be certain about the nature of these differences. Some may be artifactual (reflecting greater statistical power to detect differences with the larger un-recalibrated bipolar disorder defined sample), while others may be indicative of the inclusion of a clinically distinct subpopulation with the un-recalibrated bipolar disorder definition, thereby producing a more heterogeneous sample. These findings indicate the need for clarity in the diagnostic algorithm used in epidemiological reports on bipolar disorder using the World Mental Health Version of the Composite International Diagnostic Interview.
© 2012 John Wiley & Sons A/S.

Entities:  

Mesh:

Year:  2012        PMID: 22906117     DOI: 10.1111/acps.12005

Source DB:  PubMed          Journal:  Acta Psychiatr Scand        ISSN: 0001-690X            Impact factor:   6.392


  10 in total

1.  Threat sensitivity in bipolar disorder.

Authors:  Luma Muhtadie; Sheri L Johnson
Journal:  J Abnorm Psychol       Date:  2015-02

Review 2.  Prevalence of psychopathology in bipolar high-risk offspring and siblings: a meta-analysis.

Authors:  Phoebe Lau; David J Hawes; Caroline Hunt; Andrew Frankland; Gloria Roberts; Philip B Mitchell
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-09-21       Impact factor: 4.785

3.  Demographic and Clinical Differences Between Bipolar Disorder Patients With and Without Alcohol Use Disorders.

Authors:  Yan Xia; Dongying Ma; Tania Perich; Jian Hu; Philip B Mitchell
Journal:  Front Psychiatry       Date:  2020-09-03       Impact factor: 4.157

Review 4.  Research Status in Clinical Practice Regarding Pediatric and Adolescent Bipolar Disorders.

Authors:  Lu Liu; Ming Meng; Xiaotong Zhu; Gang Zhu
Journal:  Front Psychiatry       Date:  2022-05-27       Impact factor: 5.435

5.  The prevalence and burden of psychiatric disorders in primary health care visits in qatar: too little time?

Authors:  Abdulbari Bener; Mohammed T Abou-Saleh; Elnour E Dafeeah; Dinesh Bhugra
Journal:  J Family Med Prim Care       Date:  2015 Jan-Mar

6.  An examination of multiple classes of rare variants in extended families with bipolar disorder.

Authors:  Claudio Toma; Alex D Shaw; Richard J N Allcock; Anna Heath; Kerrie D Pierce; Philip B Mitchell; Peter R Schofield; Janice M Fullerton
Journal:  Transl Psychiatry       Date:  2018-03-13       Impact factor: 6.222

7.  Prevalence and Associated Features of Anxiety Disorder Comorbidity in Bipolar Disorder: A Meta-Analysis and Meta-Regression Study.

Authors:  Hale Yapici Eser; Anil S Kacar; Can M Kilciksiz; Merve Yalçinay-Inan; Dost Ongur
Journal:  Front Psychiatry       Date:  2018-06-27       Impact factor: 4.157

Review 8.  Significantly Higher Prevalence Rate of Asthma and Bipolar Disorder Co-Morbidity: A Meta-Analysis and Review Under PRISMA Guidelines.

Authors:  Ming-Kung Wu; Hung-Yu Wang; Yen-Wen Chen; Pao-Yen Lin; Ching-Kuan Wu; Ping-Tao Tseng
Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

9.  Study protocol for a systematic review of evidence for lifestyle interventions targeting smoking, sleep, alcohol/other drug use, physical activity, and healthy diet in people with bipolar disorder.

Authors:  Frances J Kay-Lambkin; Louise Thornton; Julia M Lappin; Tanya Hanstock; Louisa Sylvia; Felice Jacka; Amanda L Baker; Michal Berk; Phillip B Mitchell; Robin Callister; Naomi Rogers; Stephanie Webster; Simon Dennis; Christopher Oldmeadow; Andrew MacKinnon; Christopher Doran; Alyna Turner; Sally Hunt
Journal:  Syst Rev       Date:  2016-07-05

10.  A linkage and exome study of multiplex families with bipolar disorder implicates rare coding variants of ANK3 and additional rare alleles at 10q11-q21.

Authors:  Claudio Toma; Alex D Shaw; Anna Heath; Kerrie D Pierce; Philip B Mitchell; Peter R Schofield; Janice M Fullerton
Journal:  J Psychiatry Neurosci       Date:  2021-03-17       Impact factor: 6.186

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.