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

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 Decemb...

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Veröffentlicht in:Revista de saúde pública 2013-08, Vol.47 (4), p.718
Hauptverfasser: Almeida, Rosa Lívia Freitas de, Bezerra Filho, José Gomes, Braga, José Ueleres, Magalhães, Francismeire Brasileiro, Macedo, Marinila Calderaro Munguba, Silva, Kellyanne Abreu
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container_end_page
container_issue 4
container_start_page 718
container_title Revista de saúde pública
container_volume 47
creator Almeida, Rosa Lívia Freitas de
Bezerra Filho, José Gomes
Braga, José Ueleres
Magalhães, Francismeire Brasileiro
Macedo, Marinila Calderaro Munguba
Silva, Kellyanne Abreu
description 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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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.</description><identifier>EISSN: 1518-8787</identifier><identifier>DOI: 10.1590/S0034-8910.2013047003657</identifier><identifier>PMID: 24346663</identifier><language>eng</language><publisher>Brazil</publisher><subject><![CDATA[Accidents, Traffic - mortality ; Accidents, Traffic - prevention & control ; Accidents, Traffic - statistics & numerical data ; Adult ; Automobile Driving - statistics & numerical data ; Bicycling - statistics & numerical data ; Brazil - epidemiology ; Cohort Studies ; Female ; Hospital Information Systems ; Humans ; Male ; Middle Aged ; Motor Vehicles - statistics & numerical data ; Motorcycles - statistics & numerical data ; Risk Factors ; Sex Factors ; Socioeconomic Factors ; Time Factors ; Urban Population]]></subject><ispartof>Revista de saúde pública, 2013-08, Vol.47 (4), p.718</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24346663$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Almeida, Rosa Lívia Freitas de</creatorcontrib><creatorcontrib>Bezerra Filho, José Gomes</creatorcontrib><creatorcontrib>Braga, José Ueleres</creatorcontrib><creatorcontrib>Magalhães, Francismeire Brasileiro</creatorcontrib><creatorcontrib>Macedo, Marinila Calderaro Munguba</creatorcontrib><creatorcontrib>Silva, Kellyanne Abreu</creatorcontrib><title>Man, road and vehicle: risk factors associated with the severity of traffic accidents</title><title>Revista de saúde pública</title><addtitle>Rev Saude Publica</addtitle><description>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.</description><subject>Accidents, Traffic - mortality</subject><subject>Accidents, Traffic - prevention &amp; control</subject><subject>Accidents, Traffic - statistics &amp; numerical data</subject><subject>Adult</subject><subject>Automobile Driving - statistics &amp; numerical data</subject><subject>Bicycling - statistics &amp; numerical data</subject><subject>Brazil - epidemiology</subject><subject>Cohort Studies</subject><subject>Female</subject><subject>Hospital Information Systems</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Motor Vehicles - statistics &amp; numerical data</subject><subject>Motorcycles - statistics &amp; numerical data</subject><subject>Risk Factors</subject><subject>Sex Factors</subject><subject>Socioeconomic Factors</subject><subject>Time Factors</subject><subject>Urban Population</subject><issn>1518-8787</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1j81KAzEURoMgtlZfQe4DOJqfSSZxJ0WrUHGhXZebzA2Ntp2SxErf3oK6Onxn8cFhDAS_Edrx2zfOVdtYd9ySC8Xb7iiM7k7YWGhhG9vZbsTOS_ngXCqp7BkbyVa1xhg1ZosX3F5DHrAH3Pawp1UKa7qDnMonRAx1yAWwlCEkrNTDd6orqCuCQnvKqR5giFAzxpgCYAipp20tF-w04rrQ5R8nbPH48D59auavs-fp_bzZydbWJnhyWpmA1hkpPAoZBHcYKGrttdTknfFHkDLRICrjhCPrFWKQQsReTdjV7-_uy2-oX-5y2mA-LP_71A9eNVLr</recordid><startdate>201308</startdate><enddate>201308</enddate><creator>Almeida, Rosa Lívia Freitas de</creator><creator>Bezerra Filho, José Gomes</creator><creator>Braga, José Ueleres</creator><creator>Magalhães, Francismeire Brasileiro</creator><creator>Macedo, Marinila Calderaro Munguba</creator><creator>Silva, Kellyanne Abreu</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope></search><sort><creationdate>201308</creationdate><title>Man, road and vehicle: risk factors associated with the severity of traffic accidents</title><author>Almeida, Rosa Lívia Freitas de ; 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numerical data</topic><topic>Risk Factors</topic><topic>Sex Factors</topic><topic>Socioeconomic Factors</topic><topic>Time Factors</topic><topic>Urban Population</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Almeida, Rosa Lívia Freitas de</creatorcontrib><creatorcontrib>Bezerra Filho, José Gomes</creatorcontrib><creatorcontrib>Braga, José Ueleres</creatorcontrib><creatorcontrib>Magalhães, Francismeire Brasileiro</creatorcontrib><creatorcontrib>Macedo, Marinila Calderaro Munguba</creatorcontrib><creatorcontrib>Silva, Kellyanne Abreu</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><jtitle>Revista de saúde pública</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Almeida, Rosa Lívia Freitas de</au><au>Bezerra Filho, José Gomes</au><au>Braga, José Ueleres</au><au>Magalhães, Francismeire Brasileiro</au><au>Macedo, Marinila Calderaro Munguba</au><au>Silva, Kellyanne Abreu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Man, road and vehicle: risk factors associated with the severity of traffic accidents</atitle><jtitle>Revista de saúde pública</jtitle><addtitle>Rev Saude Publica</addtitle><date>2013-08</date><risdate>2013</risdate><volume>47</volume><issue>4</issue><spage>718</spage><pages>718-</pages><eissn>1518-8787</eissn><abstract>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.</abstract><cop>Brazil</cop><pmid>24346663</pmid><doi>10.1590/S0034-8910.2013047003657</doi><oa>free_for_read</oa></addata></record>
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subjects Accidents, Traffic - mortality
Accidents, Traffic - prevention & control
Accidents, Traffic - statistics & numerical data
Adult
Automobile Driving - statistics & numerical data
Bicycling - statistics & numerical data
Brazil - epidemiology
Cohort Studies
Female
Hospital Information Systems
Humans
Male
Middle Aged
Motor Vehicles - statistics & numerical data
Motorcycles - statistics & numerical data
Risk Factors
Sex Factors
Socioeconomic Factors
Time Factors
Urban Population
title Man, road and vehicle: risk factors associated with the severity of traffic accidents
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