Literature DB >> 12111023

Prevalence of ICD-10 mental disorders in a catchment area in the city of São Paulo, Brazil.

Laura Andrade1, Ellen E Walters, Valentim Gentil, Ruy Laurenti.   

Abstract

BACKGROUND: The prevalence (lifetime, 12-month, 1-month) of mental disorders, their relationship with sociodemographic features, and the use of services were investigated in the population aged 18 years or older living in the catchment area of a large hospital complex in the city of São Paulo, Brazil.
METHODS: A community survey was conducted in two boroughs of São Paulo, on 1,464 residents aged 18 years or older. The assessment of psychopathology was made by CIDI 1.1, yielding diagnoses according to ICD-10 for mood disorders, anxiety disorders, non-affective psychosis, substance use disorders, dissociative and somatoform disorders, and cognitive impairment.
RESULTS: Of the total sample, 45.9 % had at least one lifetime diagnosis of mental disorder, 26.8 % in the year, and 22.2 % in the month prior to interview. The most prevalent disorders (lifetime, 12-month, and 1-month, respectively) were: nicotine dependence (25 %, 11.4 %, 9.3 %), any mood disorder (18.5 %, 7.6 %, 5 %) with depressive episode the most prevalent mood disorder (16.8 %, 7.1 %, 4.5 %), any anxiety disorder (12.5 %, 7.7 %, 6 %), somatoform disorder (6 %, 4.2 %, 3.2 %), and alcohol abuse/dependence (5.5 %, 4.5 %, 4 %). No gender differences were found in overall morbidity. Excluding substance use disorders, women had a higher risk for non-psychotic disorders. The presence of psychiatric diagnosis increased the use of services, with a low proportion of subjects seeking specialty mental care.
CONCLUSION: Our results confirm the high prevalence of mental disorders in the community, similar to findings in other countries. A comparison with findings from other studies with similar methodology is made.

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Year:  2002        PMID: 12111023     DOI: 10.1007/s00127-002-0551-x

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  41 in total

1.  Impact of sociodemographic and health variables on mini-mental state examination in a community-based sample of older people.

Authors:  Camila Moraes; Jony Arrais Pinto; Marcos Antônio Lopes; Julio Litvoc; Cassio M C Bottino
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2010-02-19       Impact factor: 5.270

2.  Social inequality and alcohol consumption-abuse in Bahia, Brazil-- interactions of gender, ethnicity and social class.

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Journal:  Epidemiol Rev       Date:  2008-09-19       Impact factor: 6.222

4.  Accuracy of reports of lifetime mental and physical disorders: results from the Baltimore Epidemiological Catchment Area study.

Authors:  Yoichiro Takayanagi; Adam P Spira; Kimberly B Roth; Joseph J Gallo; William W Eaton; Ramin Mojtabai
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Review 5.  The Latin American treatment and innovation network in mental health h (LATINMH): rationale and scope.

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Review 6.  Poverty and common mental disorders in low and middle income countries: A systematic review.

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7.  Lifetime rates of psychopathology in single versus multiple diagnostic assessments: comparison in a community sample of probands and siblings.

Authors:  Thomas M Olino; Stewart A Shankman; Daniel N Klein; John R Seeley; Jeremy W Pettit; Richard F Farmer; Peter M Lewinsohn
Journal:  J Psychiatr Res       Date:  2012-06-25       Impact factor: 4.791

8.  Body investment, depression, and alcohol use as risk factors for suicide proneness in college students.

Authors:  Dorian A Lamis; Patrick S Malone; Jennifer Langhinrichsen-Rohling; Thomas E Ellis
Journal:  Crisis       Date:  2010

9.  Union Type and Depressive Symptoms Among Mexican Adults.

Authors:  Kammi K Schmeer; Rhiannon A Kroeger
Journal:  J Fam Issues       Date:  2011-05-25

10.  Patterns and predictors of health service use among people with mental disorders in São Paulo metropolitan area, Brazil.

Authors:  Y-P Wang; A D P Chiavegatto Filho; A M Campanha; A M Malik; M A Mogadouro; M Cambraia; M C Viana; L H Andrade
Journal:  Epidemiol Psychiatr Sci       Date:  2016-04-12       Impact factor: 6.892

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