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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Multilevel Analysis of the Patterns of Physical-Mental Multimorbidity in General Population of Sao Paulo Metropolitan Area, Brazil

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Autor(es):
Wang, Yuan-Pang [1] ; Nunes, Bruno P. [2] ; Coelho, Bruno M. [1] ; Santana, Geilson L. [1] ; do Nascimento, Carla F. [3] ; Viana, Maria Carmen [4] ; Bensenor, Isabela M. [5] ; Andrade, Laura H. [1] ; Chiavegatto Filho, Alexandre D. P. [3]
Número total de Autores: 9
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Hosp Clin HC FMUSP, Fac Med, Nucleo Epidemiol Psiquiatr LIM 23, Inst Psiquiatri, Sao Paulo, SP - Brazil
[2] Fed Univ, Nursing Dept, Pelotas, RS - Brazil
[3] Univ Sao Paulo, Sch Publ Hlth, Dept Epidemiol, Sao Paulo, SP - Brazil
[4] Univ Fed Espirito Santo, Dept Social Med, Vitoria, ES - Brazil
[5] Univ Sao Paulo, Hosp Univ HU USP, Ctr Clin & Epidemiol Res, Sao Paulo, SP - Brazil
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: SCIENTIFIC REPORTS; v. 9, FEB 20 2019.
Citações Web of Science: 1
Resumo

Chronic diseases are often comorbid and present a weighty burden for communities in the 21st century. The present investigation depicted patterns of multimorbidity in the general population and examined its association with the individual-and area-level factors in an urban sample of non-elderly adults of Brazil. Data were from the cross-sectional Sao Paulo Megacity Mental Health Survey, a stratified multistage area probability sampling investigation. Trained interviewers assessed mental morbidities and asked about physical conditions for 1,571 community-dwelling women and 1,142 men, aged between 18 and 64 years. Principal component analysis depicted patterns of physicalmental multimorbidity, by sex. Following, the patterns of multimorbidity were subjected to multilevel regression analysis, taking into account individual-and area-level variables. Three patterns of clustering were found for women: `irritable mood and headache', `chronic diseases and pain', and `substance use disorders'. Among men, the patterns were: `chronic pain and respiratory disease', `psychiatric disorders', and `chronic diseases'. Multilevel analyses showed associations between multimorbidity patterns and both individual- and area-level determinants. Our findings call for a reformulation of health-care systems worldwide, especially in low-resource countries. Replacing the single-disease framework by multi-disease patterns in health-care settings can improve the ability of general practitioners in the health-care of person-centred needs. (AU)

Processo FAPESP: 03/00204-3 - Estudo epidemiológico dos transtornos psiquiátricos na região metropolitana de São Paulo: prevalências, fatores de risco e sobrecarga social e econômica
Beneficiário:Laura Helena Silveira Guerra de Andrade Burdmann
Linha de fomento: Auxílio à Pesquisa - Temático