Author:

• Lucio Oliveira Garcia - Oliveira, Lucio Garcia - Faculdade de Medicina, Universidade de São Paulo, FMUSP, Departamento de Medicina Legal, Ética Médica e Medicina Social e do Trabalho - <lucgoliver@gmail.com>

Co-author(s):

• Carlos Vinícius Dias de Almeida - de Almeida, Carlos Vinícius Dias - Faculdade de Medicina, Universidade de São Paulo, FMUSP, Departamento de Medicina Legal, Ética Médica e Medicina Social e do Trabalho - <carlos.vidial@gmail.com>
• Lúcia Pereira Barroso - Barroso, L.p. - Instituto de Matemática e Estatística, Universidade de São Paulo, IME/USP, Departamento de Estatística - <lbarroso@ime.usp.br>
• Marcela Julio Cesar Gouvea - Gouvea, Marcela Julio Cesar - Faculdade de Medicina, Universidade de São Paulo, FMUSP, Departamento de Medicina Legal, Ética Médica e Medicina Social e do Trabalho - <gouvea.marcela@gmail.com>
• Daniel Romero Muñoz - Muñoz, D.R. - Faculdade de Medicina, Universidade de São Paulo, FMUSP, Departamento de Medicina Legal, Ética Médica e Medicina Social e do Trabalho - <danielmunoz@bol.com.br>
• Vilma Leyton - Leyton, V. - Faculdade de Medicina, Universidade de São Paulo, FMUSP, Departamento de Medicina Legal, Ética Médica e Medicina Social e do Trabalho - <vileyton@gmail.com>

Thematic Area:

Epidemiologia

Abstract:

The mortality rate by traffic accidents (TA) is high in Brazil. The trucks are the second category of motor vehicles most often involved in TA. However, few studies have focused the issue of TA among these professionals. This study aimed to estimate the prevalence of TA and their predictors in a sample of 684 truck drivers recruited in the state of São Paulo during 2012 and 2013. The participants were requested to answer a research instrument on their personal and occupational data and their involvement in TA and traffic violations. A logistic regression model was developed to identify the predictors of TA. Almost 11% of the interviewees were involved in at least one TA in that timeframe. The following predictors of TA were identified: few years of experience as professional drivers (OR=1.86; IC95%=1.05-3.38; p=0.036); have committed some traffic fine (OR=1.91; IC95%=1.04-3.66; p=0.043) and working more than 12 hours daily (OR=1.84; IC95%=1.04-3.24; p=0.034). Given those results, we suggest the development of a joint action among all the involved social actors in order to negotiate the work organization of truck drivers and then the reduction of behaviors that may evolve to traffic accidents.

Keywords:

accidents traffic automobile driving motor vehicles cross-sectional studies epidemiology

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