title: Analysis of factors associated with traffic accidents of cyclists attended in Brazilian state capitals.
abstract: Brazil has the sixth largest bicycles fleet in the world and bicycle is the most used individual transport vehicle in the country. Few studies address the issue of cyclists' accidents and factors that contribute to or prevent this event.
  VIVA is a cross-sectional survey and is part of the Violence and Accidents Surveillance System, Brazilian Ministry of Health. We used complex sampling and subsequent data review through multivariate logistic regression and calculation of the respective odds ratios.
  Odds ratios showed greater likelihood of cyclists' accidents in males, people with less schooling and living in urban and periurban areas. People who were not using the bike to go to work were more likely to suffer an accident.
  The profile found in this study corroborates findings of other studies. They claim that the coexistence of cyclists and other means of transportation in the same urban space increases the likelihood of accidents.
  The construction of bicycle-exclusive spaces and educational campaigns are required.
authors.affiliation: Departamento de Ensino sobre Violência e Saúde Jorge Careli, Escola Nacional de Saúde Pública, Fiocruz. Av. Brasil 4036/700, Manguinhos. 21040-361 Rio de Janeiro RJ Brasil. cam.sousa@bol.com.br.
authors.forename: Carlos Augusto Moreira de
authors.initials: CA
authors.lastname: Sousa
authors.affiliation: Coordenação de Vigilância Epidemiológica, Secretaria Municipal de Saúde do Rio de Janeiro. Rio de Janeiro RJ Brasil.
authors.forename: Camila Alves
authors.initials: CA
authors.lastname: Bahia
authors.affiliation: Departamento de Ensino sobre Violência e Saúde Jorge Careli, Escola Nacional de Saúde Pública, Fiocruz. Av. Brasil 4036/700, Manguinhos. 21040-361 Rio de Janeiro RJ Brasil. cam.sousa@bol.com.br.
authors.forename: Patrícia
authors.initials: P
authors.lastname: Constantino
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D001642:Bicycling / Q000706:statistics & numerical data*; D001938:Brazil / Q000453:epidemiology; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D004522:Educational Status; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D016015:Logistic Models; D008297:Male; D015999:Multivariate Analysis; D012307:Risk Factors; D012737:Sex Factors; D014505:Urban Population / Q000706:statistics & numerical data*; D055815:Young Adult