Evidence map›Paper›PMID 42425979›Full record

ArticleNature communications2026

The intersecting effects of race/ethnicity, wealth, education, and gender on AIDS among 28.3 million Brazilians.

Iracema Lua, Laio Magno, Andrea F Silva, Priscila Fps Gestal, João Luiz Bastos, Gabriela Jesus, Ronaldo de Almeida Coelho, Maria Yury Ichihara, Mauricio L Barreto, Carlos As Teles Santos and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Iracema LuaInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Brazil. ilua@uefs.br.ORCID http://orcid.org/0000-0002-5760-5073
Laio MagnoInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Brazil.ORCID http://orcid.org/0000-0003-3752-0782
Andrea F SilvaInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Brazil.ORCID http://orcid.org/0000-0003-4345-9797
Priscila Fps GestalInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Brazil.
João Luiz BastosDepartment of Public Health, Federal University of Santa Catarina, Florianopolis, SC, Brazil.ORCID http://orcid.org/0000-0002-1816-0745
Gabriela JesusInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Brazil.
Ronaldo de Almeida CoelhoDepartment of Chronic Conditions, Diseases, and Sexually Transmitted Infections at the Brazilian Ministry of Health, Brasília, Brazil.
Maria Yury IchiharaCenter for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Mauricio L BarretoCenter for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Carlos As Teles SantosCenter for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil.
Corrina MoucheraudDepartment of Public Health Policy and Management, New York University School of Global Public Health, New York, USA.
Pamina M GorbachDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California, USA.
James MacinkoDepartments of Health Policy and Management and Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, California, USA.ORCID http://orcid.org/0000-0001-8055-5441
Luis Eugênio SouzaInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Brazil.ORCID http://orcid.org/0000-0002-3273-8873
Davide Rasella *Institute of Collective Health, Federal University of Bahia (UFBA), Salvador, Brazil.ORCID http://orcid.org/0000-0002-7260-4386
Ines Dourado *Institute of Collective Health, Federal University of Bahia (UFBA), Salvador, Brazil.

Funding

The impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: an integrated retrospective and forecasting approach based on a cohort of 100 million BraziliansR01AI152938 · NIAID · FEDERAL UNIVERSITY OF BAHIA · PI RASELLA, DAVIDE · 2020 to 2024
$2.0M
Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) 1R01AI152938NIAID NIH HHS R01 AI152938
6 · The paper itself

Abstract

Health inequities in Latin America are rooted in historical systems of oppression, including slavery, patriarchy, and colonialism, which disproportionately affect socially marginalized groups. Intersectionality theory offers a framework to examine how overlapping social markers interact to shape health outcomes. While HIV/AIDS research has explored the effects of individual markers, few studies have addressed their intersections. We conducted a retrospective cohort study using data from 28.3 million Brazilians aged ≥13 years. We examined associations between race/ethnicity, education, and wealth-individually and in combination-stratified by gender. Over nine years, AIDS incidence was 23.37 and 18.63 per 100,000 person-years among men and women, respectively; mortality rates were 8.06 and 5.81 per 100,000 person-years. Isolated markers of social difference were associated with increased risk, but combined markers revealed pronounced intersectional effects. Here we show that intersections of race/ethnicity, education, and wealth substantially amplify the risk of AIDS-related illness and death in Brazil, with greater effects among women. These findings underscore the necessity of incorporating intersectionality into public health research and policy, and of addressing structural racism, sexism, and poverty through coordinated intersectoral actions to reduce HIV/AIDS inequities.

Indexed as

Acquired Immunodeficiency SyndromeEthnicityAdolescentAdultBrazilEducational StatusFemaleHumansIncidenceMaleMiddle AgedRacial GroupsRetrospective StudiesSex FactorsSocioeconomic Disparities in HealthSocioeconomic Factors

Identifiers

PMID42425979
PMCPMC13478590

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.