Literature DB >> 8372694

One-month prevalence of mental disorders in the United States and sociodemographic characteristics: the Epidemiologic Catchment Area study.

D A Regier1, M E Farmer, D S Rae, J K Myers, M Kramer, L N Robins, L K George, M Karno, B Z Locke.   

Abstract

The associations between the one-month prevalence rates of mental disorders and sociodemographic characteristics were investigated for 18,571 people interviewed in the first-wave community samples of all 5 sites in the US National Institute of Mental Health (NIMH) Epidemiologic Catchment Area program. Men were found to have a significantly higher rate of cognitive impairment than women after controlling for the effects of age, race or ethnicity, marital status and socioeconomic status. Marital status was one of the most powerful correlates of mental disorder risk: the odds of separated or divorced people having any NIMH Diagnostic Interview Schedule disorder were twice that of married people after controlling for age, gender, race or ethnicity and socioeconomic status. The odds of those in the lowest socioeconomic status group having any Diagnostic Interview Schedule disorder was about 2.5 times that of those in the highest socioeconomic status group, controlling for age, gender, race or ethnicity and marital status. For all disorders except cognitive impairment, race or ethnicity did not remain statistically significant after controlling for age, gender, marital status and socioeconomic status.

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Year:  1993        PMID: 8372694     DOI: 10.1111/j.1600-0447.1993.tb03411.x

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


  78 in total

1.  The co-occurrence of psychiatric and substance use diagnoses in adolescents in different service systems: frequency, recognition, cost, and outcomes.

Authors:  R D King; L S Gaines; E W Lambert; W T Summerfelt; L Bickman
Journal:  J Behav Health Serv Res       Date:  2000-11       Impact factor: 1.505

2.  Barriers to help seeking for mental disorders in a rural impoverished population.

Authors:  J C Fox; M Blank; V G Rovnyak; R Y Barnett
Journal:  Community Ment Health J       Date:  2001-10

3.  Maternal depressive symptoms and child behavior problems in a nationally representative normal birthweight sample.

Authors:  D Civic; V L Holt
Journal:  Matern Child Health J       Date:  2000-12

4.  Double depression in an Australian population.

Authors:  Robert D Goldney; Laura J Fisher
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2004-11       Impact factor: 4.328

5.  Relation between psychiatric syndromes and behaviorally defined sexual orientation in a sample of the US population.

Authors:  S D Cochran; V M Mays
Journal:  Am J Epidemiol       Date:  2000-03-01       Impact factor: 4.897

6.  [Validation of two short versions of the Centre for Epidemiological Studies Depression Scale in Colombian adolescents].

Authors:  German Eduardo Rueda-Jaimes; Paul Anthony Camacho López; Andrés Mauricio Rangel-Martínez-Villalba
Journal:  Aten Primaria       Date:  2009-05-08       Impact factor: 1.137

7.  The delayed effects of chronic unpredictable stress on anxiety measures.

Authors:  Leslie Matuszewich; Jared J Karney; Samantha R Carter; Steven P Janasik; Johanna L O'Brien; Ross D Friedman
Journal:  Physiol Behav       Date:  2006-12-28

Review 8.  Neuropsychiatric aspects of HIV infection among older adults.

Authors:  C H Hinkin; S A Castellon; J H Atkinson; K Goodkin
Journal:  J Clin Epidemiol       Date:  2001-12       Impact factor: 6.437

9.  Barriers to treatment for addicted African-American women.

Authors:  K Allen
Journal:  J Natl Med Assoc       Date:  1995-10       Impact factor: 1.798

10.  Paradoxical Trend for Improvement in Mental Health With Aging: A Community-Based Study of 1,546 Adults Aged 21-100 Years.

Authors:  Michael L Thomas; Christopher N Kaufmann; Barton W Palmer; Colin A Depp; Averria Sirkin Martin; Danielle K Glorioso; Wesley K Thompson; Dilip V Jeste
Journal:  J Clin Psychiatry       Date:  2016-08       Impact factor: 4.384

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