Literature DB >> 20645305

Evaluation of the DSM-IV and ICD-10 criteria for depressive disorders in a community population in Japan using item response theory.

Mari Saito1, Noboru Iwata, Norito Kawakami, Yutaka Matsuyama, Yutaka Ono, Yoshibumi Nakane, Yoshikazu Nakamura, Hisateru Tachimori, Hidenori Uda, Hideyuki Nakane, Makoto Watanabe, Yoichi Naganuma, Toshiaki A Furukawa, Yukihiro Hata, Masayo Kobayashi, Yuko Miyake, Tadashi Takeshima, Takehiko Kikkawa.   

Abstract

The DSM-IV and ICD-10 are both operational diagnostic systems that classify known psychological disorders according to the number of criteria symptoms. Certain discrepancies between the criteria exist and may lead to some inconsistencies in psychiatric research. The purpose of this study was to investigate these differences in the assessment of depression with item response theory (IRT) analyses. The World Mental Health-Japan (WMHJ) Survey is an epidemiological survey of the general population in Japan. We analyzed data from the WMHJ completed by 353 respondents who had either depressive mood or diminished interest. A two-parameter logistic model was used to evaluate the characteristics of the symptoms of the DSM-IV and ICD-10. IRT analyses revealed that the symptoms about psychomotor activity, worthlessness and self-reproach were more informative and suggestive of greater severity, while the symptoms about dietary habits were less informative. IRT analyses also revealed that the ICD-10 seems more sensitive to the mild range of the depression spectrum compared to the DSM-IV. Although there were some variations in severity among respondents, most of the respondents diagnosed with a severe or moderate depressive episode according to the ICD-10 were also diagnosed with a major depressive episode according to the DSM-IV.
Copyright © 2010 John Wiley & Sons, Ltd.

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Year:  2010        PMID: 20645305      PMCID: PMC3671887          DOI: 10.1002/mpr.320

Source DB:  PubMed          Journal:  Int J Methods Psychiatr Res        ISSN: 1049-8931            Impact factor:   4.035


  21 in total

1.  The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI).

Authors:  Ronald C Kessler; T Bedirhan Ustün
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2.  Number of symptoms, quantification, and qualification of depression.

Authors:  C Faravelli; P Servi; J A Arends; W K Strik
Journal:  Compr Psychiatry       Date:  1996 Sep-Oct       Impact factor: 3.735

3.  Excess mortality in depression: a meta-analysis of community studies.

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4.  Understanding cross-national differences in depression prevalence.

Authors:  G E Simon; D P Goldberg; M Von Korff; T B Ustün
Journal:  Psychol Med       Date:  2002-05       Impact factor: 7.723

5.  Lifetime and 6-month prevalence of DSM-III-R psychiatric disorders in an urban community in Japan.

Authors:  Norito Kawakami; Hiroyuki Shimizu; Takashi Haratani; Noboru Iwata; Toshinori Kitamura
Journal:  Psychiatry Res       Date:  2004-01-01       Impact factor: 3.222

6.  Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys.

Authors:  Koen Demyttenaere; Ronny Bruffaerts; Jose Posada-Villa; Isabelle Gasquet; Viviane Kovess; Jean Pierre Lepine; Matthias C Angermeyer; Sebastian Bernert; Giovanni de Girolamo; Pierluigi Morosini; Gabriella Polidori; Takehiko Kikkawa; Norito Kawakami; Yutaka Ono; Tadashi Takeshima; Hidenori Uda; Elie G Karam; John A Fayyad; Aimee N Karam; Zeina N Mneimneh; Maria Elena Medina-Mora; Guilherme Borges; Carmen Lara; Ron de Graaf; Johan Ormel; Oye Gureje; Yucun Shen; Yueqin Huang; Mingyuan Zhang; Jordi Alonso; Josep Maria Haro; Gemma Vilagut; Evelyn J Bromet; Semyon Gluzman; Charles Webb; Ronald C Kessler; Kathleen R Merikangas; James C Anthony; Michael R Von Korff; Philip S Wang; Traolach S Brugha; Sergio Aguilar-Gaxiola; Sing Lee; Steven Heeringa; Beth-Ellen Pennell; Alan M Zaslavsky; T Bedirhan Ustun; Somnath Chatterji
Journal:  JAMA       Date:  2004-06-02       Impact factor: 56.272

7.  Dysthymic disorder: a comparison of DSM-IV and ICD-10 and issues in differential diagnosis.

Authors:  J J Lopez Ibor; A Frances; C Jones
Journal:  Acta Psychiatr Scand Suppl       Date:  1994

8.  A statistical model for the classification of imipramine response in depressed inpatients.

Authors:  R D Gibbons; D C Clark; J M Davis
Journal:  Psychopharmacology (Berl)       Date:  1982       Impact factor: 4.530

9.  Evaluation of the MOS SF-36 physical functioning scale (PF-10): I. Unidimensionality and reproducibility of the Rasch item scale.

Authors:  S M Haley; C A McHorney; J E Ware
Journal:  J Clin Epidemiol       Date:  1994-06       Impact factor: 6.437

10.  Global burden of depressive disorders in the year 2000.

Authors:  T B Ustün; J L Ayuso-Mateos; S Chatterji; C Mathers; C J L Murray
Journal:  Br J Psychiatry       Date:  2004-05       Impact factor: 9.319

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  13 in total

1.  Using SAS PROC MCMC for Item Response Theory Models.

Authors:  Allison J Ames; Kelli Samonte
Journal:  Educ Psychol Meas       Date:  2014-09-25       Impact factor: 2.821

Review 2.  The prevalence and odds of depressive symptoms and clinical depression in psoriasis patients: a systematic review and meta-analysis.

Authors:  Emmilia A Dowlatshahi; Marlies Wakkee; Lidia R Arends; Tamar Nijsten
Journal:  J Invest Dermatol       Date:  2013-11-27       Impact factor: 8.551

Review 3.  Vortioxetine for depression in adults.

Authors:  Markus Koesters; Giovanni Ostuzzi; Giuseppe Guaiana; Johanna Breilmann; Corrado Barbui
Journal:  Cochrane Database Syst Rev       Date:  2017-07-05

4.  The role of self-blame and worthlessness in the psychopathology of major depressive disorder.

Authors:  Roland Zahn; Karen E Lythe; Jennifer A Gethin; Sophie Green; John F William Deakin; Allan H Young; Jorge Moll
Journal:  J Affect Disord       Date:  2015-08-05       Impact factor: 4.839

5.  Comparing five depression measures in depressed Chinese patients using item response theory: an examination of item properties, measurement precision and score comparability.

Authors:  Yue Zhao; Wai Chan; Barbara Chuen Yee Lo
Journal:  Health Qual Life Outcomes       Date:  2017-04-04       Impact factor: 3.186

6.  Prevalence of Depression and Associated Factors among Patients with Type 2 Diabetes Attending the Diabetic Clinic at a Tertiary Care Hospital in Sri Lanka: A Descriptive Study.

Authors:  Maulee Hiromi Arambewela; Noel P Somasundaram; Hettiarachchige Buddhi Pradeep Ranjan Jayasekara; Mahesh P Kumbukage
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7.  Estimation of the prevalence of depression using diagnostic instruments in the elderly population in India, 2000-2019: a systematic review protocol.

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Journal:  BMJ Open       Date:  2020-05-07       Impact factor: 2.692

8.  Screening accuracy of a 14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: Comparison with the PHQ-9 depression screening.

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Journal:  PLoS One       Date:  2021-01-06       Impact factor: 3.240

9.  Prevalence and risk factors for depression among community resident older people in Kerala.

Authors:  Anisha Nakulan; T P Sumesh; Sebind Kumar; P P Rejani; K S Shaji
Journal:  Indian J Psychiatry       Date:  2015 Jul-Sep       Impact factor: 1.759

Review 10.  Diabetes and depression.

Authors:  Eon-Ju Jeon
Journal:  Yeungnam Univ J Med       Date:  2018-06-30
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