Evidence map›Paper›PMID 38107154›Full record

ArticleHealth science reports2023

Health inequalities in Brazilian adolescents: Measuring and mapping gaps in a cross-sectional school-based survey.

Andrea Wendt, Adriana K F Machado, Caroline S Costa, Daniela Rachadel, Inacio Crochemore-Silva, Javier Brazo-Sayavera, Paula K Hembecker, Luiza I C Ricardo

Abstract read
In one paragraph

Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Interventions on Barriers to the Participation of Adolescents in Physical Activity: A Systematic Review.International journal of environmental research and public health · 2025
    Pooled it
  2. Article
  3. 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

8 authors.

Andrea WendtGraduate Program in Health Technology Pontifícia Universidade Católica do Paraná, Graduate Curitiba Brazil.ORCID 0000-0002-4640-2254
Adriana K F MachadoPostgraduate Program in Epidemiology Federal University of Pelotas Pelotas Brazil.ORCID 0000-0002-6800-1064
Caroline S CostaPostgraduate Program in Epidemiology Federal University of Pelotas Pelotas Brazil.ORCID 0000-0002-3522-1546
Daniela RachadelGraduate Program in Health Technology Pontifícia Universidade Católica do Paraná, Graduate Curitiba Brazil.ORCID 0009-0003-6626-9491
Inacio Crochemore-SilvaPostgraduate Program in Epidemiology Federal University of Pelotas Pelotas Brazil.ORCID https://orcid.org/0000-0001-5390-8360
Javier Brazo-SayaveraDepartment of Sports and Computer Science Universidad Pablo de Olavide Seville Spain.ORCID 0000-0001-6249-5131
Paula K HembeckerGraduate Program in Health Technology Pontifícia Universidade Católica do Paraná, Graduate Curitiba Brazil.ORCID 0000-0002-6998-8518
Luiza I C RicardoMedical Research Council Epidemiology Unit University of Cambridge Cambridge UK.ORCID https://orcid.org/0000-0002-1244-4501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: This study aims to describe inequalities in health indicators according to gender, area of residence, and socioeconomic position among Brazilian adolescents. Methods: Cross-sectional study using data from a school-based survey carried out in Brazil in 2019. Twelve health outcomes were evaluated. Dimensions of inequality assessed were gender, area of residence, wealth and subnational region. Results: This study comprises a sample of 124,898 adolescents. The most prevalent outcome was physical inactivity (71.9%) followed by thinking life is worthless (52.6%) and bullying (51.8%). Gender inequalities were more marked for physical inactivity and thinking life is worthless with girls presenting a prevalence more than 20 p.p. higher than boys. In zero-dose HPV, however, the prevalence in girls was 17.7 p.p. lower than in boys. Area of residence and wealth inequalities were smaller than gender disparities. Context presented a relevant role in inequality with analysis stratified by states of the country, revealing high variability in estimates. Conclusions: We highlight the need for attention to disparities between subgroups of the adolescent population, especially for gender inequalities that were the most marked for this age group.

Indexed as

adolescentscross‐sectional studydisparitieshealth inequalities

Identifiers

PMID38107154
PMCPMC10723783

What OpenQuestion holds

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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.