Evidence map›Paper›PMID 36576186›Full record

ArticleBMJ open2022

Prevalence of self-reported lifetime medical diagnosis of depression in Brazil: analysis of data from the 2019 Brazilian National Health Survey.

Rita Mattiello, Camila Ospina Ayala, Flaviana Freitas Pedron, Isabel Cristina Schutz Ferreira, Laura Lessa Gaudie Ley, Luciana Medeiros Paungartner, Maiara da Silva Martins, Maria Amélia Bagatini, Naycka Onofre Witt Batista, Priscila Oliveira Machado Cecagno and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed, 15 citations in OpenAlex.

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  7. Impact of the COVID-19 pandemic on the health situation of the Brazilian population.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
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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

14 authors at 3 institutions in 1 country.

Rita MattielloPost-Graduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil rita.mattiello@ufrgs.br.ORCID 0000-0002-0548-3342
Camila Ospina AyalaPostgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brasil.
Flaviana Freitas PedronPostgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brasil.
Isabel Cristina Schutz FerreiraPostgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brasil.
Laura Lessa Gaudie LeyPostgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brasil.
Luciana Medeiros PaungartnerPostgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brasil.
Maiara da Silva MartinsPostgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brasil.
Maria Amélia BagatiniPostgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brasil.
Naycka Onofre Witt BatistaPostgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brasil.
Priscila Oliveira Machado CecagnoPostgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brasil.
Sara Kvitko de MouraPostgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brasil.ORCID 0000-0003-0713-8021
Sergio López TórrezSchool of Medicine, Pontificia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil.
Tiago N MunhozPostgraduate Programme in Epidemiology, Universidade Federal de Pelotas, Pelotas, Brazil.
Iná S SantosPostgraduate Programme in Epidemiology, Universidade Federal de Pelotas, Pelotas, Brazil.ORCID 0000-0003-1258-9249
Pontifícia Universidade Católica do Rio Grande do Sul · BRUniversidade Federal de Pelotas · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the prevalence of and factors associated with the lifetime medical diagnosis of depression in Brazil.

designPopulation-based, cross-sectional study.

settingAnalysis of data from the 2019 Brazilian National Health Survey.

participants90 846 individuals aged ≥15 years were included. OUTCOME MEASURE: The self-reported medical diagnosis of depression at some point in one's life was the main outcome. Prevalence ratios (PRs) with 95% CIs were calculated by Poisson regression with robust variance. The independent variables included the geographical area of residence, sociodemographic characteristics, current smoking status, alcohol abuse, daily screen time, and the presence of physical disorders and mental health comorbidities.

resultsThe self-reported lifetime prevalence of medical diagnosis of depression was 9.9% (95% CI 9.5% to 10.2%). The probability of having received a medical diagnosis of depression was higher among urban residents (PR 1.23; 95% CI 1.12 to 1.35); females (2.75; 2.52 to 2.99); those aged 20-29 years (1.17; 0.91 to 1.51), 30-39 years (1.73; 1.36 to 2.19), 40-49 years (2.30; 1.81 to 2.91), 50-59 years (2.32; 1.84 to 2.93) and 60-69 years (2.27; 1.78 to 2.90) compared with those under 20 years; white-skinned people (0.69 (0.61 to 0.78) for black-skinned people and 0.74 (0.69 to 0.80) for indigenous, yellow and brown-skinned people compared with white-skinned people); those with fewer years of education (1.33(1.12 to 1.58) among those with 9-11 years, 1.14 (0.96 to 1.34) among those with 1-8 years and 1.29 (1.11 to 1.50) among those with 0 years compared with those with ≥12 years of education); those who were separated/divorced (1.43; 1.29 to 1.59), widowed (1.06; 0.95 to 1.19) and single (1.01; 0.93 to 1.10) compared with married people; smokers (1.26; 1.14 to 1.38); heavy screen users (1.31; 1.16 to 1.48) compared with those whose usage was <6 hours/day; those with a medical diagnosis of a physical disorder (1.80; 1.67 to 1.97); and individuals with a medical diagnosis of a mental health comorbidity (5.05; 4.68 to 5.46).

conclusionThis nationwide population-based study of self-reported lifetime medical diagnosis of depression in Brazil showed that the prevalence was almost 10%. Considering the current Brazilian population, this prevalence corresponds to more than 2 million people who have been diagnosed with depression at some point in their lives.

Indexed as

DepressionBrazilCross-Sectional StudiesFemaleHealth SurveysHumansPrevalenceSelf ReportDepression & mood disordersEPIDEMIOLOGYMENTAL HEALTHPREVENTIVE MEDICINEPSYCHIATRY

Identifiers

PMID36576186
PMCPMC9723899
OpenAlexW4310728812

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.