Evidence map›Paper›PMID 27852263›Full record

ArticleInternational journal for equity in health2016

Regional disparities in road traffic injuries and their determinants in Brazil, 2013.

Otaliba Libanio Morais Neto, Ana Lúcia Andrade, Rafael Alves Guimarães, Polyana Maria Pimenta Mandacarú, Gabriela Camargo Tobias

Open access · goldAbstract readComparative Study
In one paragraph

Article in International journal for equity in health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. A panorama of health inequalities in Brazil.International journal for equity in health · 2016
    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

5 authors at 2 institutions in 1 country.

Otaliba Libanio Morais NetoDepartamento de Saúde Coletiva. Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Rua 235, S/N, Setor Universitário, Goiânia, Goiás, Cep: 74605-050, Brazil. otaliba.libanio@gmail.com.
Ana Lúcia AndradeDepartamento de Saúde Coletiva. Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Rua 235, S/N, Setor Universitário, Goiânia, Goiás, Cep: 74605-050, Brazil.
Rafael Alves GuimarãesMestrado do Programa de Pós-Graduação em Enfermagem, Universidade Federal de Goiás, Rua 227 Qd 68, S/N - Setor Leste Universitário, Goiânia, Goiás, CEP: 74605-080, Brazil.
Polyana Maria Pimenta MandacarúCentro de Excelência em Ensino, Pesquisa e Projetos - Leide das Neves Ferreira, Rua 26, 521 - Jardim Santo Antônio, Goiânia, GO, 74853-070, Brazil.
Gabriela Camargo TobiasPrograma de Pós-Graduação em Medicina Tropical e Saúde Pública, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Rua 235, S/N, Setor Universitário, Goiânia, Goiás, Cep: 74605-050, Brazil.
Universidade Federal de Goiás · BRSecretaria Municipal de Saúde · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent decades middle-income countries have experienced a rapid increase in the number of cars and motorcycles. Increased deaths and hospitalizations due to road traffic injuries (RTI) has been observed in several countries as a result. In this study we assessed the determinants of RTIs in Brazil by mode of transportation and compared differences in RTI rates among macro-regions.

methodsWe used data from the National Health Survey (NHS) conducted in 2013 by the Brazilian Institute of Geography and Statistics and the Ministry of Health. NHS is a comprehensive household survey which includes a representative sample (N = 60,198) of individuals aged 18 years or older. The prevalence and determinants of RTI were estimated according to different modes of transport (car/van, motorcycle, and other) and regions of the country. Bivariate and multivariable logistic regression models were applied to assess crude and adjusted odds ratios, respectively, and their 95 % CI for RTI determinants.

resultsThe prevalence of RTI for the Southeast, South, Central-West, Northeast and North regions of Brazil was 2.4 %, 2.9 %, 4.4 %, 3.4 % and 4.8 %, respectively, pointing to important differences among regions. High percentages of motorcyclists were observed in the Northeast and North regions. For motorcyclists, factors associated with RTIs were being male (OR = 2.6;95 % CI:2.3;3.0), aged 18-29 (OR = 3.2; 95 % CI:2.7;3.8) and 30-39 years (OR = 2.0;95 % CI:1.7;2.5), black (OR = 1.4;95 % CI:1.1;1.7), having elementary educational (OR = 1.5;95 % CI:1.1;1.9), reporting binge drinking behavior (OR = 1.3;95 % CI:1.1;1.5), and living in the Central-West (OR = 2.0;95 % CI:1.6;2.5), Northeast (OR = 1.8;95 % CI:1.5;2.1) and North (OR = 2.0;95 % CI:1.6; 2.5) regions of the country. The independent variables associated with RTI for car/van occupants were being male (OR = 1.7;95 % CI:1.4;2.1), aged 18-29 (OR = 1.5;95 % CI:1.1;2.0) and 30-39 years (OR = 2.5;95 % CI:1.9;3.2), reporting binge drinking behavior (OR = 2.0;95 % CI:1.6;2.5) and living in the South region (OR = 1.6;95 % CI:1.3;2.1).

conclusionsThere were considerable regional disparities in RTI rates across Brazil's regions. Motorcyclists contributed to the high RTI rates in these regions as did demographic factors and behaviors such as alcohol use. These findings can help guide interventions to reduce the burden of RTIs in Brazil.

Indexed as

Accidents, TrafficAutomobilesMotorcyclesResidence CharacteristicsAdolescentAdultAgedAlcohol DrinkingBrazilFemaleHealth SurveysHumansLogistic ModelsMaleMiddle AgedOdds RatioEpidemiologic determinantsHealth disparitiesTraffic accidents

Identifiers

PMID27852263
PMCPMC5112733
OpenAlexW2519120715

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.