Literature DB >> 2605432

DSM-III major depressive disorder in the community. A latent class analysis of data from the NIMH epidemiologic catchment area programme.

W W Eaton1, A Dryman, A Sorenson, A McCutcheon.   

Abstract

The fit of the structure of DSM-III major depressive disorder to data from two large epidemiological surveys is assessed by latent class analysis. The surveys were conducted at the Baltimore and Raleigh-Durham sites of the National Institute of Mental Health (NIMH) Epidemiologic Catchment Area Program. Three classes are required to fit the data, and the third class bears a strong resemblance to major depressive disorder, although it requires slightly more symptoms to be present than DSM-III. The derived structure replicates successfully for Baltimore and Raleigh-Durham, with a prevalence of the major depression category of 0.9% for both sites.

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Year:  1989        PMID: 2605432     DOI: 10.1192/bjp.155.1.48

Source DB:  PubMed          Journal:  Br J Psychiatry        ISSN: 0007-1250            Impact factor:   9.319


  19 in total

1.  Latent class-derived subgroups of depressive symptoms in a community sample of older adults: the Cache County Study.

Authors:  Chien-Ti Lee; Jeannie-Marie Leoutsakos; Constantine G Lyketsos; David C Steffens; John C S Breitner; Maria C Norton
Journal:  Int J Geriatr Psychiatry       Date:  2011-12-02       Impact factor: 3.485

2.  Using a Bayesian latent growth curve model to identify trajectories of positive affect and negative events following myocardial infarction.

Authors:  Michael R Elliott; Joseph J Gallo; Thomas R Ten Have; Hillary R Bogner; Ira R Katz
Journal:  Biostatistics       Date:  2005-01       Impact factor: 5.899

Review 3.  The epidemiology of fatigue: more questions than answers.

Authors:  G Lewis; S Wessely
Journal:  J Epidemiol Community Health       Date:  1992-04       Impact factor: 3.710

4.  Socioeconomic status and depressive syndrome: the role of inter- and intra-generational mobility, government assistance, and work environment.

Authors:  W W Eaton; C Muntaner; G Bovasso; C Smith
Journal:  J Health Soc Behav       Date:  2001-09

5.  Searching for valid psychiatric phenotypes: discrete latent variable models.

Authors:  Jeannie-Marie S Leoutsakos; Peter P Zandi; Karen Bandeen-Roche; Constantine G Lyketsos
Journal:  Int J Methods Psychiatr Res       Date:  2010-06       Impact factor: 4.035

6.  Examining variation in depressive symptoms over the life course: a latent class analysis.

Authors:  B Mezuk; K S Kendler
Journal:  Psychol Med       Date:  2012-02-24       Impact factor: 7.723

7.  Latent subtypes of depression in a community sample of older adults: can depression clusters predict future depression trajectories?

Authors:  Celia F Hybels; Lawrence R Landerman; Dan G Blazer
Journal:  J Psychiatr Res       Date:  2013-06-25       Impact factor: 4.791

8.  Subtypes of major depression: latent class analysis in depressed Han Chinese women.

Authors:  Y Li; S Aggen; S Shi; J Gao; Y Li; M Tao; K Zhang; X Wang; C Gao; L Yang; Y Liu; K Li; J Shi; G Wang; L Liu; J Zhang; B Du; G Jiang; J Shen; Z Zhang; W Liang; J Sun; J Hu; T Liu; X Wang; G Miao; H Meng; Y Li; C Hu; Y Li; G Huang; G Li; B Ha; H Deng; Q Mei; H Zhong; S Gao; H Sang; Y Zhang; X Fang; F Yu; D Yang; T Liu; Y Chen; X Hong; W Wu; G Chen; M Cai; Y Song; J Pan; J Dong; R Pan; W Zhang; Z Shen; Z Liu; D Gu; X Wang; X Liu; Q Zhang; J Flint; K S Kendler
Journal:  Psychol Med       Date:  2014-04-09       Impact factor: 7.723

9.  The emerging modern face of mood disorders: a didactic editorial with a detailed presentation of data and definitions.

Authors:  Konstantinos N Fountoulakis
Journal:  Ann Gen Psychiatry       Date:  2010-04-12       Impact factor: 3.455

10.  The role of sex on stability and change of depression symptom subtypes over 20 years: a latent transition analysis.

Authors:  Stephanie Rodgers; Vladeta Ajdacic-Gross; Mario Müller; Michael P Hengartner; Martin Grosse Holtforth; Jules Angst; Wulf Rössler
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2013-11-30       Impact factor: 5.270

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