Clustering of psychiatric and somatic illnesses in the general population: multimorbidity and socioeconomic correlates

Clustering of psychiatric and somatic illnesses in the general population: multimorbidity and socioeconomic correlates

Author Andrade, Laura Helena Google Scholar
Benseñor, Isabela Martins Google Scholar
Viana, Maria Carmem Google Scholar
Andreoni, Solange Autor UNIFESP Google Scholar
Wang, Y.-p. Google Scholar
Institution Universidade de São Paulo (USP)
Universidade Federal de São Paulo (UNIFESP)
Abstract The distribution of psychiatric disorders and of chronic medical illnesses was studied in a population-based sample to determine whether these conditions co-occur in the same individual. A representative sample (N = 1464) of adults living in households was assessed by the Composite International Diagnostic Interview, version 1.1, as part of the São Paulo Epidemiological Catchment Area Study. The association of sociodemographic variables and psychological symptoms regarding medical illness multimorbidity (8 lifetime somatic conditions) and psychiatric multimorbidity (15 lifetime psychiatric disorders) was determined by negative binomial regression. A total of 1785 chronic medical conditions and 1163 psychiatric conditions were detected in the population concentrated in 34.1 and 20% of respondents, respectively. Subjects reporting more psychiatric disorders had more medical illnesses. Characteristics such as age range (35-59 years, risk ratio (RR) = 1.3, and more than 60 years, RR = 1.7), being separated (RR = 1.2), being a student (protective effect, RR = 0.7), being of low educational level (RR = 1.2) and being psychologically distressed (RR = 1.1) were determinants of medical conditions. Age (35-59 years, RR = 1.2, and more than 60 years, RR = 0.5), being retired (RR = 2.5), and being psychologically distressed (females, RR = 1.5, and males, RR = 1.4) were determinants of psychiatric disorders. In conclusion, psychological distress and some sociodemographic features such as age, marital status, occupational status, educational level, and gender are associated with psychiatric and medical multimorbidity. The distribution of both types of morbidity suggests the need of integrating mental health into general clinical settings.
Keywords Comorbidity
Multimorbidity coefficient
Negative binomial regression
Common psychological symptoms
Socioeconomic status
Chronic medical illness
Language English
Sponsor Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Grant number FAPESP: 93/0501-4
Date 2010-05-01
Published in Brazilian Journal of Medical and Biological Research. Associação Brasileira de Divulgação Científica, v. 43, n. 5, p. 483-491, 2010.
ISSN 0100-879X (Sherpa/Romeo, impact factor)
Publisher Associação Brasileira de Divulgação Científica
Extent 483-491
Origin http://dx.doi.org/10.1590/S0100-879X2010007500024
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000277830900010
SciELO ID S0100-879X2010000500010 (statistics in SciELO)
URI http://repositorio.unifesp.br/handle/11600/5699

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