Evidence map›Paper›PMID 30904861›Full record

ArticleBMJ open2019

Progress and setbacks in socioeconomic inequalities in adolescent health-related behaviours in Brazil: results from three cross-sectional surveys 2009-2015.

Catarina Machado Azeredo, Leandro F M de Rezende, Poppy Alice Carson Mallinson, Camila Zancheta Ricardo, Sanjay Kinra, Renata B Levy, Aluisio J D Barros

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

8 citing papers in PubMed, 20 citations in OpenAlex.

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  7. The health-related determinants of eating pattern of high school athletes in Goiás, Brazil.Archives of public health = Archives belges de sante publique · 2020
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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

7 authors at 4 institutions in 2 countries.

Catarina Machado AzeredoCurso de Nutrição, Faculdade de Medicina, Universidade Federal de Uberlandia, Uberlandia, Brazil.ORCID 0000-0002-6189-4429
Leandro F M de RezendeDepartamento de Medicina Preventiva, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil.
Poppy Alice Carson MallinsonDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine Faculty of Epidemiology and Population Health, London, UK.
Camila Zancheta RicardoDepartamento de Medicina Preventiva, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil.
Sanjay KinraDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine Faculty of Epidemiology and Population Health, London, UK.
Renata B LevyDepartamento de Medicina Preventiva, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil.
Aluisio J D BarrosPostgraduate Programme in Epidemiology, Federal University of Pelotas (UFPel), Pelotas, Brazil.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRLondon School of Hygiene & Tropical Medicine · GBUniversidade Federal de Pelotas · BRUniversidade Federal de Uberlândia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDespite some progress, Brazil is still one of the most unequal countries, and the extent of socioeconomic inequalities in adolescent health is unclear. We assessed trends in socioeconomic inequalities in adolescent's health-related behaviours in Brazil between 2009 and 2015.

designWe used cross-sectional data from the Brazilian National Survey of School Health carried out in 2009, 2012 and 2015.

settingBrazilian state capitals.

participantsStudents attending ninth grade from public and private schools in Brazilian state capitals in 2009 (60 973 students), 2012 (61 145 students) and 2015 (51 192 students).

main outcome measureWe assessed 12 health-related behaviours (irregular fruit, vegetables and bean consumption; regular soft drink consumption; irregular physical activity; alcohol, drug and tobacco use; unsafe sex; involvement in gun fights; bullying victimisation and domestic violence victimisation), under the broad domains of lifestyle risk behaviours, engagement in risky activities and exposure to violence. Socioeconomic status was assessed through an asset-based wealth index derived from principal component analysis. Absolute and relative inequalities in these health behaviours and inequalities trends were investigated.

resultsFrom 2009 to 2015, prevalence of certain harmful health-related behaviours increased, such as unsafe sex (21.5% to 33.9%), domestic violence (9.5% to 16.2%), bullying victimisation (14.2% to 21.7%) and irregular consumption of beans (37.5% to 43.7%). Other indicators decreased: alcohol use (27.1% to 23.2%), irregular physical activity (83.0% to 75.6%) and consumption of soft drinks (37.2% to 28.8%). Over the period, we found consistent evidence of decreasing health inequalities for lifestyle behaviours (fruit, bean and soft drink consumption) and alcohol use, set against increasing inequalities in violence (domestic violence, fights using guns and bullying victimisation).

conclusionSocioeconomic inequality increased in the violence domain and decreased for lifestyle behaviours among Brazilian adolescents. Widening gaps in violence domain urge immediately policy measures in Brazil.

Indexed as

Health BehaviorSocioeconomic FactorsAdolescentAlcohol DrinkingBrazilCross-Sectional StudiesExerciseFemaleHumansMaleResidence CharacteristicsRisk-TakingSexual BehaviorStudentsSubstance-Related DisordersViolenceadolescentshealth behaviorslifestylesocial inequalities

Identifiers

PMID30904861
PMCPMC6475167
OpenAlexW2928332066

What OpenQuestion holds

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LicenceCC BY-NC
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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.