Evidence map›Paper›PMID 28601836›Full record

ArticleBMJ open2017

Contextual and individual inequalities of multimorbidity in Brazilian adults: a cross-sectional national-based study.

Bruno P Nunes, Alexandre D P Chiavegatto Filho, Sanghamitra Pati, Doralice S Cruz Teixeira, Thaynã R Flores, Fabio A Camargo-Figuera, Tiago N Munhoz, Elaine Thumé, Luiz A Facchini, Sandro R Rodrigues Batista

Erratum issuedAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 4 pooled it
–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

41 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  5. Prevalence, Risk Factors, and Multimorbidity Patterns in Climacteric Women with Hypertension.International journal of environmental research and public health · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Bruno P NunesPostgraduate Program in Nursing, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Alexandre D P Chiavegatto FilhoDepartment of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil.
Sanghamitra PatiIndian Institute of Public Health, Public Health Foundation of India, Bhubaneswar, India.
Doralice S Cruz TeixeiraMunicipal Health Department of São Paulo, São Paulo, Brazil.
Thaynã R FloresPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Fabio A Camargo-FigueraSchool of Nursing, Universidad Industrial de Santander, Bucaramanga, Colombia.
Tiago N MunhozPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Elaine ThuméPostgraduate Program in Nursing, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Luiz A FacchiniPostgraduate Program in Nursing, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Sandro R Rodrigues BatistaFaculty of Medicine, Federal University of Goiás, Goiânia, Goiás, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study aims to evaluate the magnitude of multimorbidity in Brazilian adults, as well to measure their association with individual and contextual factors stratified by Brazilian states and regions.

methodsA national-based cross-sectional study was carried out in 2013 with Brazilian adults. Multimorbidity was evaluated by a list of 22 physical and mental morbidities (based on self-reported medical diagnosis and Patient Health Questionnaire-9 for depression). The outcome was analysed taking ≥2 and ≥3 diseases as cut-off points. Factor analysis (FA) was used to identify disease patterns and multilevel models were used to test association with individual and contextual variables.

resultsThe sample comprised 60 202 individuals. Multimorbidity frequency was 22.2% (95% CI 21.5 to 22.9) for ≥2 morbidities and 10.2% (95% CI 9.7 to 10.7) for ≥3 morbidities. In the multilevel adjusted models, females, older people, those living with a partner and having less schooling presented more multiple diseases. No linear association was found according to wealth index but greater outcome frequency was found in individuals with midrange wealth index. Living in states with higher levels of education and wealthier states was associated with greater multimorbidity. Two patterns of morbidities (cardiometabolic problems and respiratory/mental/muscle-skeletal disorders) explained 92% of total variance. The relationship of disease patterns with individual and contextual variables was similar to the overall multimorbidity, with differences among Brazilian regions.

conclusionsIn Brazil, at least 19 million adults had multimorbidity. Frequency is similar to that found in other Low and and Middle Income Countries. Contextual and individual social inequalities were observed.

Indexed as

Health Status DisparitiesAdolescentAdultAgedAged, 80 and overAge FactorsBrazilCardiovascular DiseasesComorbidityCross-Sectional StudiesFemaleHealth SurveysHumansMaleMental DisordersMetabolic DiseasesChronic diseaseComorbidityMultilevel Analysis.MultimorbidityStatistical disease clustering

Identifiers

PMID28601836
PMCPMC5726142

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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.