Evidence map›Paper›PMID 35810284›Full record

ArticleBMC public health2022

Racial inequalities in multimorbidity: baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Fernanda Esthefane Garrides Oliveira, Rosane Harter Griep, Dora Chor, Luana Giatti, Luciana A C Machado, Sandhi Maria Barreto, Alexandre da Costa Pereira, Maria de Jesus Mendes da Fonseca, Leonardo Soares Bastos

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 26 citations in OpenAlex.

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  9. Access and Use of Health Services by People with Diabetes from the Item Response Theory.International journal of environmental research and public health · 2022
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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

9 authors at 4 institutions in 1 country.

Fernanda Esthefane Garrides OliveiraSérgio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Rosane Harter GriepLaboratory of Health and Environment Education, Oswaldo Cruz Institute, Rio de Janeiro, Brazil. rohgriep@gmail.com.
Dora ChorSérgio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Luana GiattiDepartment of Preventive and Social Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Luciana A C MachadoClinical Hospital/EBSERH, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Sandhi Maria BarretoDepartment of Preventive and Social Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Alexandre da Costa PereiraHeart Institute, University of São Paulo, São Paulo, Brazil.
Maria de Jesus Mendes da FonsecaSérgio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Leonardo Soares BastosScientific Computing Program, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Fundação Oswaldo Cruz · BRUniversidade Federal de Minas Gerais · BREscola Nacional de Saúde Pública · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence of multimorbidity has come mainly from high-income regions, while disparities among racial groups have been less explored. This study examined racial differences in multimorbidity in the multiracial cohort of the Longitudinal Study of Adult Health (Estudo Longitudinal de Saúde do Adulto), ELSA-Brasil.

methodsThe study examined baseline (2008-2010) data for 14 099 ELSA-Brasil participants who self-reported being white, mixed-race, or black. A list of 16 morbidities was used to evaluate multimorbidity, operationalised by simple count into ≥ 2, ≥ 3, ≥ 4, ≥ 5 and ≥ 6 morbidities, in addition to evaluating the number of coexisting conditions. Prevalence ratios (PR) were estimated from logistic models and a quantile model was used to examine racial differences graphically in the distribution quantiles for the number of morbidities.

resultsOverall prevalence of multimorbidity (≥ 2 morbidities) was 70% and, after controlling for age and sex, was greater among mixed-race and black participants - by 6% (PR: 1.06; 95% CI: 1.03-1.08) and 9% (PR: 1.09; 95% CI: 1.06-1.12), respectively - than among white participants. As the cutoff value for defining multimorbidity was raised, so the strength of the association increased, especially among blacks: if set at ≥ 6 morbidities, the prevalence was 27% greater for those of mixed-race (PR: 1.27; 95% CI: 1.07-1.50) and 47% greater for blacks (PR: 1.47; 95% CI: 1.22-1.76) than for whites. The disparities were smaller in the lower morbidity distribution quantiles and larger in the upper quantiles, indicating a heavier burden of disease, particularly on blacks.

conclusionsMultimorbidity was common among adults and older adults in a Brazilian cohort, but important racial inequalities were found. Raising the cutoff point for defining multimorbidity revealed stronger associations between race/skin colour and multimorbidity, indicating a higher prevalence of multimorbidity among mixed-race and black individuals than among whites and that the former groups coexisted more often with more complex health situations (with more coexisting morbidities). Interventions to prevent and manage the condition of multimorbidity that consider the social determinants of health and historically discriminated populations in low- and middle-income regions are necessary.

Indexed as

MultimorbidityRacial GroupsAgedBrazilHumansLongitudinal StudiesPrevalenceChronic diseaseDisease accumulationMultimorbidityRacial inequalities in healthSocial determinants of health

Identifiers

PMID35810284
PMCPMC9270815
OpenAlexW4284961071

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.