ArticleSSM - population health2022
Socioeconomic and racial/ethnic inequalities in depression prevalence and the treatment gap in Brazil: A decomposition analysis.
Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- Socioeconomic inequality in recommended childhood vaccinations in Germany: evidence from insurance claims and concentration index decomposition.BMC medicine · 2026Article
- Mapping the expressions and impacts of racism on health in Brazil: a scoping review.Lancet regional health. Americas · 2026Review
- Drivers of health inequalities across education level among older Filipinos: a decomposition analysis using nationwide survey data.BMC public health · 2026Article
- Racial inequalities in access to healthcare services in Brazil (2019): a decomposition analysis.BMC health services research · 2025Observational
- Salutogenesis for thriving nations: Sense of coherence and longevity across income strata.SSM - population health · 2025Article
- Ethnic Disparities in Mental Health Among Adults in China.JAMA network open · 2025Article
- Socioeconomic and spatial distribution of depressive symptoms and access to treatment in Peru: A repeated nationwide cross-sectional study from 2014 to 2021.SSM - population health · 2025Article
- Association of workforce participation with depression among US older adults: results from NHANES 2005-2018.BMC geriatrics · 2025Article
- Intersectionality and mental health in university students: a jeopardy index approach.Revista de saude publica · 2025Article
- Workplace violence and its strong association with depression among Brazilian workers: insights from a national survey.Frontiers in psychiatry · 2025Article
- The Association of Sexual Minority Status with the Prevalence, Diagnosis, and Treatment of Depression among NYC Adults.Journal of community health · 2024Article
- Gender inequalities in violence victimization and depression in Brazil: results from the 2019 national health survey.International journal for equity in health · 2023Article
- Prevalence and gender disparity of those who screen positive for depression in China by the classification of the employer and industry: a cross-sectional, population-based study.BMC psychiatry · 2023Article
- Nanoencapsulation ofPharmaceuticals (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Depression is a major global health burden and there are stark socioeconomic inequalities in both the prevalence of depression and access to treatment for depression. In Brazil, racial/ethnic inequalities are of particular concern, but the factors contributing to these inequalities remain mostly unknown. This paper firstly explores determinants of depression and the treatment gap (i.e., untreated afflicted individuals) in Brazil and identifies if socio-economic and health system factors explain changes over time. Secondly, it analyses income and racial/ethnic inequalities in depression and the treatment gap and identifies factors explaining inequalities through decomposition methods. Data from two waves (2013 and 2019) of a representative household-based survey are used. In 2019, 10.8% of adults were depressed, but over 70% of depressed adults did not receive care. Black or brown/mixed Brazilians were more likely to have untreated depression, and region of residence was the most important determinant of these racial/ethnic inequalities. Notably, 44.6% of the difference in the treatment gap between white individuals and black and brown/mixed individuals was not explained by differences in observables, which could potentially be due to discrimination or difficulties in accessing treatment due to other non-observable characteristics. Employment, age, exposure to violence and physical activity are the main contributing factors to income inequalities in depression. These results suggest that policies aimed at improving the levels of exposure of lower-income individuals to risk factors may positively impact mental health and mental health inequalities, while addressing inequalities in service provision and resourcing for mental health and tackling barriers to access stemming from discrimination are essential to bridge the treatment gap equitably.
Identifiers
What OpenQuestion holds
Registered trials
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.