Evidence map›Paper›PMID 41779476›Full record

ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2026

Association between diagnosis of depression and health service coverage: a multilevel analysis of the National Health Survey, Brazil, 2019.

Flávia Oliveira da Silva, Andressa Lourenço Carvalho, Guilherme Guimarães Maia Schnepper, Léo Domingues Marchesi, Isabella Ribeiro Leite, Laura Vazarin Endo, Camila Del Valhe Sanchez Lima, Kaio Henrique Correa Massa

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Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Flávia Oliveira da SilvaUniversidade Anhembi Morumbi, São Paulo, SP, Brasil.ORCID http://orcid.org/0009-0005-1805-7122
Andressa Lourenço CarvalhoUniversidade Anhembi Morumbi, São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0001-7304-1012
Guilherme Guimarães Maia SchnepperUniversidade Anhembi Morumbi, São Paulo, SP, Brasil.ORCID http://orcid.org/0009-0000-5032-6277
Léo Domingues MarchesiUniversidade Anhembi Morumbi, São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-3097-8443
Isabella Ribeiro LeiteUniversidade Anhembi Morumbi, São Paulo, SP, Brasil.ORCID http://orcid.org/0009-0001-8744-0134
Laura Vazarin EndoUniversidade Anhembi Morumbi, São Paulo, SP, Brasil.ORCID http://orcid.org/0009-0004-4053-4637
Camila Del Valhe Sanchez LimaUniversidade Anhembi Morumbi, São Paulo, SP, Brasil.ORCID http://orcid.org/0009-0003-1419-6147
Kaio Henrique Correa MassaUniversidade Anhembi Morumbi, São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0001-9954-2659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze association between prevalence of diagnosis of depression in adults and health service coverage in Brazil's Federative Units.

methodsThis was a cross-sectional study using data from the 2019 National Health Survey. Adjusted odds ratios (OR) and 95% confidence intervals (95%CI) were calculated from multilevel logistic regression models to analyze association between diagnosis of depression and health service coverage.

results88,531 adults residing in the 27 Brazilian Federative Units were analyzed in 2019. Higher odds of depression diagnosis were found among adults residing in Federative Units with greater Family Health Strategy coverage (OR 1.35; 95%CI 1.29; 1.42), with a greater number of family health support centers (OR 1.17; 95%CI 1.13; 1.21) and psychosocial care centers (OR 1.31; 95%CI 1.23; 1.41).

conclusionThe results of this study indicated that greater health service coverage was associated with higher prevalence of diagnosis of depression. These findings emphasized the importance of expanding and strengthening the psychosocial care network to improve diagnosis and care of individuals with mental disorders in Brazil.

Indexed as

DepressionAdolescentAdultBrazilCross-Sectional StudiesFemaleHealth SurveysHumansLogistic ModelsMaleMiddle AgedMultilevel AnalysisPrevalenceYoung Adult

Identifiers

PMID41779476
PMCPMC12948296

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.