Literature DB >> 24346663

Man, road and vehicle: risk factors associated with the severity of traffic accidents.

Rosa Lívia Freitas de Almeida1, José Gomes Bezerra Filho1, José Ueleres Braga2, Francismeire Brasileiro Magalhães3, Marinila Calderaro Munguba Macedo4, Kellyanne Abreu Silva5.   

Abstract

OBJECTIVE: To describe the main characteristics of victims, roads and vehicles involved in traffic accidents and the risk factors involved in accidents resulting in death. METHODS A non-concurrent cohort study of traffic accidents in Fortaleza, CE, Northeastern Brazil, in the period from January 2004 to December 2008. Data from the Fortaleza Traffic Accidents Information System, the Mortality Information System, the Hospital Information System and the State Traffic Department Driving Licenses and Vehicle database. Deterministic and probabilistic relationship techniques were used to integrate the databases. First, descriptive analysis of data relating to people, roads, vehicles and weather was carried out. In the investigation of risk factors for death by traffic accident, generalized linear models were used. The fit of the model was verified by likelihood ratio and ROC analysis. RESULTS There were 118,830 accidents recorded in the period. The most common types of accidents were crashes/collisions (78.1%), running over pedestrians (11.9%), colliding with a fixed obstacle (3.9%), and with motorcycles (18.1%). Deaths occurred in 1.4% of accidents. The factors that were independently associated with death by traffic accident in the final model were bicycles (OR = 21.2, 95%CI 16.1;27.8), running over pedestrians OR = 5.9 (95%CI 3.7;9.2), collision with a fixed obstacle (OR = 5.7, 95%CI 3.1;10.5) and accidents involving motorcyclists (OR = 3.5, 95%CI 2.6;4.6). The main contributing factors were a single person being involved (OR = 6.6, 95%CI 4.1;10.73), presence of unskilled drivers (OR = 4.1, 95%CI 2.9;5.5) a single vehicle (OR = 3.9, 95%CI 2,3;6,4), male (OR = 2.5, 95%CI 1.9;3.3), traffic on roads under federal jurisdiction (OR = 2.4, 95%CI 1.8;3.7), early morning hours (OR = 2.4, 95%CI 1.8;3.0), and Sundays (OR = 1.7, 95%CI 1.3;2.2), adjusted according to the log-binomial model. CONCLUSIONS Activities promoting the prevention of traffic accidents should primarily focus on accidents involving two-wheeled vehicles that most often involves a single person, unskilled, male, at nighttime, on weekends and on roads where they travel at higher speeds.

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Year:  2013        PMID: 24346663     DOI: 10.1590/S0034-8910.2013047003657

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


  3 in total

1.  Occupational Traffic Accidents among Teachers in Spain.

Authors:  Vicente Joaquín Delgado-Fernández; María Del Carmen Rey-Merchán; Antonio López-Arquillos; Sang D Choi
Journal:  Int J Environ Res Public Health       Date:  2022-04-24       Impact factor: 4.614

2.  INCIDENCE OF PEDESTRIAN TRAFFIC INJURY IN SÃO PAULO, BRAZIL, IN 2016.

Authors:  Rodrigo Tadashi Martines; Washington Gomes DE Araujo; Cintia Leci Rodrigues; Jane DE Eston Armond
Journal:  Acta Ortop Bras       Date:  2018 Mar-Apr       Impact factor: 0.513

3.  Analysis of hospitalization occurred due to motorcycles accidents in São Paulo city.

Authors:  Carlos Gorios; Jane de Eston Armond; Cintia Leci Rodrigues; Henrique Pernambuco; Ramiro Ortiz Iporre; Patrícia Colombo-Souza
Journal:  Acta Ortop Bras       Date:  2015 Jul-Aug       Impact factor: 0.513

  3 in total

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