Evidence map›Paper›PMID 34842558›Full record

ArticleJMIR public health and surveillance2021

Prevalence of Multimorbidity of Chronic Noncommunicable Diseases in Brazil: Population-Based Study.

Xin Shi, Simone Maria da Silva Lima, Caroline Maria de Miranda Mota, Ying Lu, Randall S Stafford, Corintho Viana Pereira

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  10. Multimorbidity and the use of health services in the Brazilian population: National Health Survey 2019.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023
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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

6 authors.

Xin ShiSchool of Maths and Information Science, Shandong Technology and Business University, Yantai, China.ORCID 0000-0002-4930-7295
Simone Maria da Silva LimaManagement Engineering Department, Universidade Federal de Pernambuco, Recife, Brazil.ORCID 0000-0001-9404-8221
Caroline Maria de Miranda MotaManagement Engineering Department, Universidade Federal de Pernambuco, Recife, Brazil.ORCID 0000-0001-9617-5726
Ying LuDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0002-7698-8962
Randall S StaffordDepartment of Medicine, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0003-1805-1271
Corintho Viana PereiraOtoface Recife, Recife, Brazil.ORCID 0000-0002-5062-0078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimorbidity is the co-occurrence of two or more chronic diseases.

objectiveThis study, based on self-reported medical diagnosis, aims to investigate the dynamic distribution of multimorbidity across sociodemographic levels and its impacts on health-related issues over 15 years in Brazil using national data.

methodsData were analyzed using descriptive statistics, hypothesis tests, and logistic regression. The study sample comprised 679,572 adults (18-59 years of age) and 115,699 elderly people (≥60 years of age) from the two latest cross-sectional, multiple-cohort, national-based studies: the National Sample Household Survey (PNAD) of 1998, 2003, and 2008, and the Brazilian National Health Survey (PNS) of 2013.

resultsOverall, the risk of multimorbidity in adults was 1.7 times higher in women (odds ratio [OR] 1.73, 95% CI 1.67-1.79) and 1.3 times higher among people without education (OR 1.34, 95% CI 1.28-1.41). Multiple chronic diseases considerably increased with age in Brazil, and people between 50 and 59 years old were about 12 times more likely to have multimorbidity than adults between 18 and 29 years of age (OR 11.89, 95% CI 11.27-12.55). Seniors with multimorbidity had more than twice the likelihood of receiving health assistance in community services or clinics (OR 2.16, 95% CI 2.02-2.31) and of being hospitalized (OR 2.37, 95% CI 2.21-2.56). The subjective well-being of adults with multimorbidity was often worse than people without multiple chronic diseases (OR=12.85, 95% CI: 12.07-13.68). These patterns were similar across all 4 cohorts analyzed and were relatively stable over 15 years.

conclusionsOur study shows little variation in the prevalence of the multimorbidity of chronic diseases in Brazil over time, but there are differences in the prevalence of multimorbidity across different social groups. It is hoped that the analysis of multimorbidity from the two latest Brazil national surveys will support policy making on epidemic prevention and management.

Indexed as

MultimorbidityNoncommunicable DiseasesAdultAgedBrazilChronic DiseaseCross-Sectional StudiesFemaleHumansMiddle AgedPrevalenceBrazilhealth carelogistic regressionmultimorbidityprevalencepublic health

Identifiers

PMID34842558
PMCPMC8663437

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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.