Evidence map›Paper›PMID 41000305›Full record

ArticleFrontiers in public health2025

Sociodemographic inequalities in multimorbidity and lifestyle risk factors among young adults: a national population-based study.

Mirta Mara Mendonça Tavares, Luciana Bertoldi Nucci, André Luiz Monezi Andrade, Carla Cristina Enes

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Mirta Mara Mendonça TavaresPostgraduate Program in Health Sciences, Pontifical Catholic University of Campinas, Campinas, São Paulo, Brazil.
Luciana Bertoldi NucciPostgraduate Program in Health Sciences, Pontifical Catholic University of Campinas, Campinas, São Paulo, Brazil.
André Luiz Monezi AndradePostgraduate Program in Psychology, Pontifical Catholic University of Campinas, Campinas, São Paulo, Brazil.
Carla Cristina EnesPostgraduate Program in Health Sciences, Pontifical Catholic University of Campinas, Campinas, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multimorbidity is an increasing worldwide concern, disproportionately impacting disadvantaged populations. Existing studies have mainly focused on older adults, leaving a gap in understanding how sociodemographic inequalities influence the prevalence and risk factors for multimorbidity among younger individuals. This study aims to explore sociodemographic disparities in the prevalence of multimorbidity and its behavioral risk factors among young Brazilian adults. Methods: This cross-sectional study utilized data from the 2019 National Health Survey, involving a representative sample of individuals aged 20-50 years ( Results: Of the 48,890 participants, 18% reported multimorbidity. Sociodemographic disparities were identified, with higher prevalence among women, older adults, individuals with lower education levels, and those with health insurance. Conversely, participants from the North, Northeast, and Central-West regions were associated with lower prevalence rates. The prevalence of multiple behavioral risk factors (four or more) was greater among those with lower education, lower socioeconomic status, and residents of the South and North regions. Older and married individuals exhibited a lower prevalence of concurrent risk factors. Conclusion: Sociodemographic factors such as age, gender, education, marital status, health insurance, and region were associated to multimorbidity and the co-occurrence of multiple behavioral risk factors. These disparities highlight the need for policies to reduce modifiable risk factors and promote equitable healthcare access, especially for socioeconomically disadvantaged groups.

Indexed as

Health Status DisparitiesLife StyleMultimorbiditySocioeconomic FactorsAdultBrazilCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedPrevalenceRisk FactorsSociodemographic FactorsYoung Adulthealth surveyslifestylemultimorbiditynoncommunicable diseasessocioeconomic factors

Identifiers

PMID41000305
PMCPMC12457391

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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.