Evidence map›Paper›PMID 35894406›Full record

ArticleRevista de saude publica2022

Prevalence of multimorbidity in older adults in São Paulo, Brazil: a study with ISA-Capital.

Kaio Keomma, Aylene Bousquat, Chester Luiz Galvão César

Abstract read
In one paragraph

Article in Revista de saude publica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

3 authors.

Kaio KeommaUniversidade de São Paulo . Faculdade de Saúde Pública . Programa de Pós-Graduação em Saúde Pública . São Paulo , SP , Brasil.ORCID http://orcid.org/0000-0003-0016-0517
Aylene BousquatUniversidade de São Paulo . Faculdade de Saúde Pública . Departamento de Política, Gestão e Saúde . São Paulo , SP , Brasil.ORCID http://orcid.org/0000-0003-2701-1570
Chester Luiz Galvão CésarUniversidade de São Paulo . Faculdade de Saúde Pública . Departamento de Epidemiologia . São Paulo , SP , Brasil.ORCID http://orcid.org/0000-0002-6999-1506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the prevalence of multimorbidity in older adults in São Paulo, Brazil.

methodsA cross-sectional study based on the 2015 ISA-Capital population-based survey, with a subsample of 1,019 older adults aged ≥ 60 years old. Multimorbidity was categorized considering two or more chronic diseases, based on a previously defined list. The data were analyzed in univariate and multiple models with Poisson regression.

resultsThe prevalence of multimorbidity was 40% (95%CI: 36.6-43.8), being higher in women (PR a = 1.95 [compared to men]; 95%CI: 1.58-2.40), in individuals aged ≥ 75 years old (PR a = 1.25 [compared to individuals aged ≥ 60 to 64 years old]; 95%CI: 1.01-1.60), in Black people (PR a = 1.28 [compared to White people]; 95%CI: 1.04-1.59), in high-income people (PR a = 1.27 [compared to low income]; 95%CI: 1.09-1.50) and in former smokers (PR a = 1.30 [compared to those who never smoked]; 95%CI: 1.05-1.60), and lower in smokers (PR a = 0.72 [compared to those who never smoked]; 95%CI: 1.09-1.50).

conclusionThe prevalence of multimorbidity was lower than that reported in most of the reviewed studies, but consistently associated with gender, age, race/skin color, smoking habit and socioeconomic status. The standardization of conceptual and methodological criteria for estimation is a challenge to relieve problems in the planning and management of health care systems for older populations.

Indexed as

MultimorbiditySocial ClassAgedBrazilCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceSocioeconomic Factors

Identifiers

PMID35894406
PMCPMC9337848

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LicenceCC BY
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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.