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The Association of Driver Age with Traffic Injury Severity in Wisconsin
Objectives: To quantify the association of driver's age with the risk of being injured, dying, and experiencing injuries of different severity when involved in a motor vehicle crash. Methods: Data from the Wisconsin Crash Outcome Data Evaluation System (CODES) from 2002 to 2004 were used to stu...
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Published in: | Traffic injury prevention 2009-08, Vol.10 (4), p.361-367 |
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description | Objectives: To quantify the association of driver's age with the risk of being injured, dying, and experiencing injuries of different severity when involved in a motor vehicle crash.
Methods: Data from the Wisconsin Crash Outcome Data Evaluation System (CODES) from 2002 to 2004 were used to study 602,964 drivers of a car or truck who were involved in a motor vehicle crash. Odds ratios (OR) or relative risk ratios (RRR) and their 95 percent confidence intervals (CIs) were calculated for age groups, in relation to the outcomes of injury, fatality, and injury severity using logistic regression models, which controlled for sex, alcohol use, urban/rural location, seat belt use, ejection, airbag deployment, vehicle type, and highway class.
Results: Increasing age was strongly associated the risk of dying or experiencing severe injuries for drivers involved in motor vehicle crashes with the greatest risk in drivers 85 years and older. Compared to drivers aged 25-44, drivers 85 years and older had the highest risks for moderate injury (ISS = 9-15; RRR = 5.44, 95% CI: 3.97-7.47), severe injury (ISS = 16-74; (RRR = 4.32, 95% CI: 2.73-6.84), and fatality (OR = 10.93, 95% CI: 7.76-15.38). In contrast, drivers 85 years and older had no increase in risk for minor injury (ISS = 1-8; OR = 0.94, 95% CI: 0.84-1.05).
Conclusions: The oldest drivers involved in motor vehicle crashes had the highest risk for severe injury and fatality. In light of the increasing number of the oldest drivers and their poor outcomes from severe trauma, substantial morbidity can be expected to occur in the oldest drivers. Evidence-based measures to reduce the risks to older drivers should continue to be developed, evaluated, and implemented. |
doi_str_mv | 10.1080/15389580902973635 |
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Methods: Data from the Wisconsin Crash Outcome Data Evaluation System (CODES) from 2002 to 2004 were used to study 602,964 drivers of a car or truck who were involved in a motor vehicle crash. Odds ratios (OR) or relative risk ratios (RRR) and their 95 percent confidence intervals (CIs) were calculated for age groups, in relation to the outcomes of injury, fatality, and injury severity using logistic regression models, which controlled for sex, alcohol use, urban/rural location, seat belt use, ejection, airbag deployment, vehicle type, and highway class.
Results: Increasing age was strongly associated the risk of dying or experiencing severe injuries for drivers involved in motor vehicle crashes with the greatest risk in drivers 85 years and older. Compared to drivers aged 25-44, drivers 85 years and older had the highest risks for moderate injury (ISS = 9-15; RRR = 5.44, 95% CI: 3.97-7.47), severe injury (ISS = 16-74; (RRR = 4.32, 95% CI: 2.73-6.84), and fatality (OR = 10.93, 95% CI: 7.76-15.38). In contrast, drivers 85 years and older had no increase in risk for minor injury (ISS = 1-8; OR = 0.94, 95% CI: 0.84-1.05).
Conclusions: The oldest drivers involved in motor vehicle crashes had the highest risk for severe injury and fatality. In light of the increasing number of the oldest drivers and their poor outcomes from severe trauma, substantial morbidity can be expected to occur in the oldest drivers. Evidence-based measures to reduce the risks to older drivers should continue to be developed, evaluated, and implemented.</description><identifier>ISSN: 1538-9588</identifier><identifier>EISSN: 1538-957X</identifier><identifier>DOI: 10.1080/15389580902973635</identifier><identifier>PMID: 19593714</identifier><language>eng</language><publisher>England: Taylor & Francis Group</publisher><subject>Accidents, Traffic - classification ; Accidents, Traffic - mortality ; Accidents, Traffic - statistics & numerical data ; Adolescent ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; Automobile Driving ; Confidence Intervals ; Female ; Humans ; Injury ; Injury Severity Score ; Logistic Models ; Male ; Middle Aged ; Motor vehicle crash ; Motor Vehicles ; Odds Ratio ; Older drivers ; Risk ; Sex Factors ; Wisconsin - epidemiology ; Wounds and Injuries - classification ; Wounds and Injuries - mortality ; Young Adult</subject><ispartof>Traffic injury prevention, 2009-08, Vol.10 (4), p.361-367</ispartof><rights>Copyright Taylor & Francis Group, LLC 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c588t-c7dfd12ff1208aa86ef65d721e9ca6bf455905e7922aca290f9d3f6b2dcf54773</citedby><cites>FETCH-LOGICAL-c588t-c7dfd12ff1208aa86ef65d721e9ca6bf455905e7922aca290f9d3f6b2dcf54773</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19593714$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hanrahan, Robert B.</creatorcontrib><creatorcontrib>Layde, Peter M.</creatorcontrib><creatorcontrib>Zhu, Shankuan</creatorcontrib><creatorcontrib>Guse, Clare E.</creatorcontrib><creatorcontrib>Hargarten, Stephen W.</creatorcontrib><title>The Association of Driver Age with Traffic Injury Severity in Wisconsin</title><title>Traffic injury prevention</title><addtitle>Traffic Inj Prev</addtitle><description>Objectives: To quantify the association of driver's age with the risk of being injured, dying, and experiencing injuries of different severity when involved in a motor vehicle crash.
Methods: Data from the Wisconsin Crash Outcome Data Evaluation System (CODES) from 2002 to 2004 were used to study 602,964 drivers of a car or truck who were involved in a motor vehicle crash. Odds ratios (OR) or relative risk ratios (RRR) and their 95 percent confidence intervals (CIs) were calculated for age groups, in relation to the outcomes of injury, fatality, and injury severity using logistic regression models, which controlled for sex, alcohol use, urban/rural location, seat belt use, ejection, airbag deployment, vehicle type, and highway class.
Results: Increasing age was strongly associated the risk of dying or experiencing severe injuries for drivers involved in motor vehicle crashes with the greatest risk in drivers 85 years and older. Compared to drivers aged 25-44, drivers 85 years and older had the highest risks for moderate injury (ISS = 9-15; RRR = 5.44, 95% CI: 3.97-7.47), severe injury (ISS = 16-74; (RRR = 4.32, 95% CI: 2.73-6.84), and fatality (OR = 10.93, 95% CI: 7.76-15.38). In contrast, drivers 85 years and older had no increase in risk for minor injury (ISS = 1-8; OR = 0.94, 95% CI: 0.84-1.05).
Conclusions: The oldest drivers involved in motor vehicle crashes had the highest risk for severe injury and fatality. In light of the increasing number of the oldest drivers and their poor outcomes from severe trauma, substantial morbidity can be expected to occur in the oldest drivers. Evidence-based measures to reduce the risks to older drivers should continue to be developed, evaluated, and implemented.</description><subject>Accidents, Traffic - classification</subject><subject>Accidents, Traffic - mortality</subject><subject>Accidents, Traffic - statistics & numerical data</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Automobile Driving</subject><subject>Confidence Intervals</subject><subject>Female</subject><subject>Humans</subject><subject>Injury</subject><subject>Injury Severity Score</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Motor vehicle crash</subject><subject>Motor Vehicles</subject><subject>Odds Ratio</subject><subject>Older drivers</subject><subject>Risk</subject><subject>Sex Factors</subject><subject>Wisconsin - epidemiology</subject><subject>Wounds and Injuries - classification</subject><subject>Wounds and Injuries - mortality</subject><subject>Young Adult</subject><issn>1538-9588</issn><issn>1538-957X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNqFkUlLZDEUhYO0OP8AN5JV70ozvEwgQmE7geDCEt2FVF5iRV4ldpLSrn_vkyocELpWueR-53APB4B9jA4xkugIMyoVk0ghogTllK2Brfe_gWLi4dfHLOUm2C7lCSGCJWIbYBMrpqjAzRa4GE0cHJaSbDA1pAiTh39yeHEZDh8dfA11AkfZeB8svIpPszyHt67fhjqHIcL7UGyKJcRdsO5NV9ze8t0Bd-dno9PLwfXNxdXp8Hpg-zPqwIrWt5h4jwmSxkjuPGetINgpa_jYN4wpxJxQhBhriEJetdTzMWmtZ40QdAecLHyfZ-Opa62LNZtOP-cwNXmukwn6-yaGiX5ML7qRCi0Mfi8Ncvo7c6XqaZ_BdZ2JLs2K5qKRiEi8EqSNpIwrvhLskyLOqepBvABtTqVk5z_Oxki_F6p_FNprDr7m_VQsG-yB4wUQok95al5T7lpdzbxL2WcTbehP_Z-_WCn_odL1X6VvT3LBuw</recordid><startdate>20090801</startdate><enddate>20090801</enddate><creator>Hanrahan, Robert B.</creator><creator>Layde, Peter M.</creator><creator>Zhu, Shankuan</creator><creator>Guse, Clare E.</creator><creator>Hargarten, Stephen W.</creator><general>Taylor & Francis Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20090801</creationdate><title>The Association of Driver Age with Traffic Injury Severity in Wisconsin</title><author>Hanrahan, Robert B. ; Layde, Peter M. ; Zhu, Shankuan ; Guse, Clare E. ; Hargarten, Stephen W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c588t-c7dfd12ff1208aa86ef65d721e9ca6bf455905e7922aca290f9d3f6b2dcf54773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Accidents, Traffic - classification</topic><topic>Accidents, Traffic - mortality</topic><topic>Accidents, Traffic - statistics & numerical data</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Automobile Driving</topic><topic>Confidence Intervals</topic><topic>Female</topic><topic>Humans</topic><topic>Injury</topic><topic>Injury Severity Score</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Motor vehicle crash</topic><topic>Motor Vehicles</topic><topic>Odds Ratio</topic><topic>Older drivers</topic><topic>Risk</topic><topic>Sex Factors</topic><topic>Wisconsin - epidemiology</topic><topic>Wounds and Injuries - classification</topic><topic>Wounds and Injuries - mortality</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hanrahan, Robert B.</creatorcontrib><creatorcontrib>Layde, Peter M.</creatorcontrib><creatorcontrib>Zhu, Shankuan</creatorcontrib><creatorcontrib>Guse, Clare E.</creatorcontrib><creatorcontrib>Hargarten, Stephen W.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Traffic injury prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hanrahan, Robert B.</au><au>Layde, Peter M.</au><au>Zhu, Shankuan</au><au>Guse, Clare E.</au><au>Hargarten, Stephen W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Association of Driver Age with Traffic Injury Severity in Wisconsin</atitle><jtitle>Traffic injury prevention</jtitle><addtitle>Traffic Inj Prev</addtitle><date>2009-08-01</date><risdate>2009</risdate><volume>10</volume><issue>4</issue><spage>361</spage><epage>367</epage><pages>361-367</pages><issn>1538-9588</issn><eissn>1538-957X</eissn><abstract>Objectives: To quantify the association of driver's age with the risk of being injured, dying, and experiencing injuries of different severity when involved in a motor vehicle crash.
Methods: Data from the Wisconsin Crash Outcome Data Evaluation System (CODES) from 2002 to 2004 were used to study 602,964 drivers of a car or truck who were involved in a motor vehicle crash. Odds ratios (OR) or relative risk ratios (RRR) and their 95 percent confidence intervals (CIs) were calculated for age groups, in relation to the outcomes of injury, fatality, and injury severity using logistic regression models, which controlled for sex, alcohol use, urban/rural location, seat belt use, ejection, airbag deployment, vehicle type, and highway class.
Results: Increasing age was strongly associated the risk of dying or experiencing severe injuries for drivers involved in motor vehicle crashes with the greatest risk in drivers 85 years and older. Compared to drivers aged 25-44, drivers 85 years and older had the highest risks for moderate injury (ISS = 9-15; RRR = 5.44, 95% CI: 3.97-7.47), severe injury (ISS = 16-74; (RRR = 4.32, 95% CI: 2.73-6.84), and fatality (OR = 10.93, 95% CI: 7.76-15.38). In contrast, drivers 85 years and older had no increase in risk for minor injury (ISS = 1-8; OR = 0.94, 95% CI: 0.84-1.05).
Conclusions: The oldest drivers involved in motor vehicle crashes had the highest risk for severe injury and fatality. In light of the increasing number of the oldest drivers and their poor outcomes from severe trauma, substantial morbidity can be expected to occur in the oldest drivers. Evidence-based measures to reduce the risks to older drivers should continue to be developed, evaluated, and implemented.</abstract><cop>England</cop><pub>Taylor & Francis Group</pub><pmid>19593714</pmid><doi>10.1080/15389580902973635</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accidents, Traffic - classification Accidents, Traffic - mortality Accidents, Traffic - statistics & numerical data Adolescent Adult Age Factors Aged Aged, 80 and over Automobile Driving Confidence Intervals Female Humans Injury Injury Severity Score Logistic Models Male Middle Aged Motor vehicle crash Motor Vehicles Odds Ratio Older drivers Risk Sex Factors Wisconsin - epidemiology Wounds and Injuries - classification Wounds and Injuries - mortality Young Adult |
title | The Association of Driver Age with Traffic Injury Severity in Wisconsin |
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