BackgroundTo investigate the clinical epidemiological characteristics of a large data set of visits to outpatient children mental health services in Brazil, as well as to identify relevant relationships between age, sex and three common mental disorders in childhood: pervasive developmental disorders, ADHD and mild depressive disorders. MethodsWe extracted data from a public repository, DATASUS, regarding child outpatient mental health services in Brazil, from 2008 to 2012. We performed an analysis of the number of visits per inhabitant and inferential analyses with logistic regressions for ADHD (F90.0), Pervasive Developmental Disorders (F84.0-F84.9), and Mild Depressive Episode (F32.0) as outcomes, controlling for age, year of the visit, number of new CAPSI stratified by region. FindingsAttention-deficit hyperactivity disorder (ADHD) was the most common condition identified across the country. The analyses by region showed a high number of visits due to mental retardation in the Northeast and depressive episodes in the South. Regressions showed that older children are less likely to visit outpatient services with a diagnosis of ADHD (F90.0). ConclusionsOur analysis shows the conditions which cause the most burden to the child psychiatry outpatient centers in Brazil and relevant differences between regions. This information has immediate use for the training of staff and allocation of resources in each region. For collaborations please contact: Email: jacyra.paiva@fiocruz.brFor collaborations please contact: Email: jacyra.paiva@fiocruz.br

Objectives: Depression is associated with multimorbidity, the occurrence of two or more chronic diseases. Although the effect of multimorbidity on depression is relatively well known, the opposite effect is less well studied. We aimed to examine the effect of depression on multimorbidity using data from a nationally representative Brazilian survey. Methods: We used information from all respondents above 15 years of age of the Brazilian National Survey on Access, Use, and Promotion of the Rational Use of Medicines (PNAUM) from 2014. A structural equation model was fit to the data with a specification that included the relationship between depressive syndrome and multimorbidity, controlled by age and body mass index. Results: The data set comprised 28,382 subjects. The model presented fit the data well, and revealed a statistically significant, positive, moderate-size effect (0.355) of depression on multimorbidity. Conclusion: Depression appears to make a moderate contribution to the development of multimorbidity.

Objective To investigate the clinical epidemiological characteristics of a large data set of visits to outpatient children mental health services in Brazil, as well as to identify relevant relationships between age, sex and three common mental disorders in childhood: pervasive developmental disorders, ADHD, and mild depressive disorders. Methods We extracted data from the Ambulatorial Information System (SIA) part of a public repository, Datasus, regarding child outpatient mental health services in Brazil, from 2008 to 2012. We performed an analysis of the number of visits per one hundred thousand inhabitants and further analyses with logistic regressions for ADHD (F90.0), Pervasive Developmental Disorders (F84.0-F84.9), and Mild Depressive Episode (F32.0) as outcomes, controlling for age, year of the visit, number of new CAPSI stratified by region. Results Attention-deficit hyperactivity disorder (ADHD) was the most common condition identified across the country. The analyses by region showed a high number of visits due to mental retardation in the Northeast and depressive episodes in the South. Regressions showed that older children are less likely to visit outpatient services with a diagnosis of ADHD (F90.0). Conclusions Our analysis shows the conditions which cause the most burden to the child psychiatry outpatient centers in Brazil and relevant differences between regions. This information has immediate use for the training of staff and allocation of resources in each region.

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