Evidence map›Paper›PMID 37521440›Full record

ArticleLancet regional health. Americas2023

The effects of social determinants of health on acquired immune deficiency syndrome in a low-income population of Brazil: a retrospective cohort study of 28.3 million individuals.

Iracema Lua, Andrea F Silva, Nathalia S Guimarães, Laio Magno, Julia Pescarini, Rodrigo V R Anderle, Maria Yury Ichihara, Mauricio L Barreto, Carlos A S Teles Santos, Louisa Chenciner and 4 more

Open access · goldAbstract read
In one paragraph

Article in Lancet regional health. Americas, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 28 citations in OpenAlex.

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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 6 institutions in 4 countries.

Iracema LuaInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Bahia, Brazil.
Andrea F SilvaInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Bahia, Brazil.
Nathalia S GuimarãesInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Bahia, Brazil.
Laio MagnoDepartment of Life Sciences, State University of Bahia (UNEB), Salvador, Bahia, Brazil.
Julia PescariniCenter for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Bahia, Brazil.
Rodrigo V R AnderleInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Bahia, Brazil.
Maria Yury IchiharaCenter for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Bahia, Brazil.
Mauricio L BarretoInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Bahia, Brazil.
Carlos A S Teles SantosCenter for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Bahia, Brazil.
Louisa ChencinerNuffield Department of Population Health, University of Oxford, Richard Doll Building, Oxford, UK.
Luis Eugênio SouzaInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Bahia, Brazil.
James MacinkoDepartments of Health Policy and Management and Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, California, USA.
Ines DouradoInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Bahia, Brazil.
Davide RasellaInstitute of Collective Health, Federal University of Bahia (UFBA), Salvador, Bahia, Brazil.
Universidade Federal da Bahia · BRFundação Oswaldo Cruz · BRLondon School of Hygiene & Tropical Medicine · GBSt George's, University of London · GBUCLA Health · USUniversidade do Estado da Bahia · BR

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
NIAID NIH HHS R01 AI152938
6 · The paper itself

Abstract

Background: Social determinants of health (SDH) include factors such as income, education, and race, that could significantly affect the human immunodeficiency virus and acquired immunodeficiency syndrome (HIV/AIDS). Studies on the effects of SDH on HIV/AIDS are limited, and do not yet provide a systematic understanding of how the various SDH act on important indicators of HIV/AIDS progression. We aimed to evaluate the effects of SDH on AIDS morbidity and mortality. Methods: A retrospective cohort of 28.3 million individuals was evaluated over a 9-year period (from 2007 to 2015). Multivariable Poisson regression, with a hierarchical approach, was used to estimate the effects of SDH-at the individual and familial level-on AIDS incidence, mortality, and case-fatality rates. Findings: A total of 28,318,532 individuals, representing the low-income Brazilian population, were assessed, who had a mean age of 36.18 (SD: 16.96) years, 52.69% (14,920,049) were female, 57.52% (15,360,569) were pardos, 34.13% (9,113,222) were white/Asian, 7.77% (2,075,977) were black, and 0.58% (154,146) were indigenous. Specific socioeconomic, household, and geographic factors were significantly associated with AIDS-related outcomes. Less wealth was strongly associated with a higher AIDS incidence (rate ratios-RR: 1.55; 95% confidence interval-CI: 1.43-1.68) and mortality (RR: 1.99; 95% CI: 1.70-2.34). Lower educational attainment was also greatly associated with higher AIDS incidence (RR: 1.46; 95% CI: 1.26-1.68), mortality (RR: 2.76; 95% CI: 1.99-3.82) and case-fatality rates (RR: 2.30; 95% CI: 1.31-4.01). Being black was associated with a higher AIDS incidence (RR: 1.53; 95% CI: 1.45-1.61), mortality (RR: 1.69; 95% CI: 1.57-1.83) and case-fatality rates (RR: 1.16; 95% CI: 1.03-1.32). Overall, also considering the other SDH, individuals experiencing greater levels of socioeconomic deprivation were, by far, more likely to acquire AIDS, and to die from it. Interpretation: In the population studied, SDH related to poverty and social vulnerability are strongly associated with a higher burden of HIV/AIDS, most notably less wealth, illiteracy, and being black. In the absence of relevant social protection policies, the current worldwide increase in poverty and inequalities-due to the consequences of the COVID-19 pandemic, and the effects of war in the Ukraine-could reverse progress made in the fight against HIV/AIDS in low- and middle-income countries (LMIC). Funding: National Institute of Allergy and Infectious Diseases (NAIDS), National Institutes of Health (NIH), US Grant Number: 1R01AI152938.

Indexed as

Acquired immune deficiency syndromeEducational attainmentsEthnicityPovertySocial determinants of healthSocioeconomic factors

Identifiers

PMID37521440
PMCPMC10372893
OpenAlexW4384520678

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.