Analysis of crash parameters and driver characteristics associated with lower limb injury
•Frequency, risk and patterns of lower limb injuries due to vehicle information and occupant parameters were fully examined.•A multi-variate logistic regression model was developed to analyze odds ratios of knee and below knee lower limb injuries.•Disconnect was revealed between improvement from sta...
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description | •Frequency, risk and patterns of lower limb injuries due to vehicle information and occupant parameters were fully examined.•A multi-variate logistic regression model was developed to analyze odds ratios of knee and below knee lower limb injuries.•Disconnect was revealed between improvement from standardized crash tests and real-world lower limb injury prevalence.•Lower extremity injuries still remain the most common AIS 2+ injury in frontal crashes.
This study aims to investigate changes in frequency, risk, and patterns of lower limb injuries due to vehicle and occupant parameters as a function of vehicle model year. From the National Automotive Sampling System-Crashworthiness Data System, 10,988 observations were sampled and analyzed, representing 4.7 million belted drivers involved in frontal crashes for the years 1998–2010.
A logistic regression model was developed to understand the association of sustaining knee and below knee lower limb injuries of moderate or greater severity with motor vehicle crash characteristics such as vehicle type and model years, toepan and instrument panel intrusions in addition to the occupant’s age, gender, height and weight. Toepan intrusion greater than 2cm was significantly associated with an increased likelihood of injury (odds ratio: 9.10, 95% confidence interval 1.82–45.42). Females sustained a higher likelihood of distal lower limb injuries (OR: 6.83, 1.56–29.93) as compared to males. Increased mass of the driver was also found to have a positive association with injury (OR: 1.04, 1.02–1.06), while age and height were not associated with injury likelihood. Relative to passenger cars, vans exhibited a protective effect against sustaining lower limb injury (OR: 0.24, 0.07–0.78), whereas no association was shown for light trucks (OR: 1.31, 0.69–2.49) or SUVs (OR: 0.76, 0.28–2.02).
To examine whether current crash testing results are representative of real-world NASS-CDS findings, data from frontal offset crash tests performed by the Insurance Institute for Highway Safety (IIHS) were examined. IIHS data indicated a decreasing trend in vehicle foot well and toepan intrusion, foot accelerations, tibia axial forces and tibia index in relation to increasing vehicle model year between the year 1995 and 2013. Over 90% of vehicles received the highest IIHS rating, with steady improvement from the upper and lower tibia index, tibia axial force and the resultant foot acceleration considering both left and right extremities. Pass |
doi_str_mv | 10.1016/j.aap.2015.06.013 |
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This study aims to investigate changes in frequency, risk, and patterns of lower limb injuries due to vehicle and occupant parameters as a function of vehicle model year. From the National Automotive Sampling System-Crashworthiness Data System, 10,988 observations were sampled and analyzed, representing 4.7 million belted drivers involved in frontal crashes for the years 1998–2010.
A logistic regression model was developed to understand the association of sustaining knee and below knee lower limb injuries of moderate or greater severity with motor vehicle crash characteristics such as vehicle type and model years, toepan and instrument panel intrusions in addition to the occupant’s age, gender, height and weight. Toepan intrusion greater than 2cm was significantly associated with an increased likelihood of injury (odds ratio: 9.10, 95% confidence interval 1.82–45.42). Females sustained a higher likelihood of distal lower limb injuries (OR: 6.83, 1.56–29.93) as compared to males. Increased mass of the driver was also found to have a positive association with injury (OR: 1.04, 1.02–1.06), while age and height were not associated with injury likelihood. Relative to passenger cars, vans exhibited a protective effect against sustaining lower limb injury (OR: 0.24, 0.07–0.78), whereas no association was shown for light trucks (OR: 1.31, 0.69–2.49) or SUVs (OR: 0.76, 0.28–2.02).
To examine whether current crash testing results are representative of real-world NASS-CDS findings, data from frontal offset crash tests performed by the Insurance Institute for Highway Safety (IIHS) were examined. IIHS data indicated a decreasing trend in vehicle foot well and toepan intrusion, foot accelerations, tibia axial forces and tibia index in relation to increasing vehicle model year between the year 1995 and 2013. Over 90% of vehicles received the highest IIHS rating, with steady improvement from the upper and lower tibia index, tibia axial force and the resultant foot acceleration considering both left and right extremities. Passenger cars received the highest rating followed by SUVs and light trucks, while vans attained the lowest rating.
These results demonstrate that while there has been steady improvement in vehicle crash test performance, below-knee lower extremity injuries remain the most common AIS 2+ injury in real-world frontal crashes.</description><identifier>ISSN: 0001-4575</identifier><identifier>EISSN: 1879-2057</identifier><identifier>DOI: 10.1016/j.aap.2015.06.013</identifier><identifier>PMID: 26196465</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Abbreviated Injury Scale ; Acceleration ; Accidents, Traffic - statistics & numerical data ; Adult ; Aged ; Automobiles ; Automotive engineering ; Body Weight ; Crashes ; Female ; Humans ; Injuries ; Leg Injuries - epidemiology ; Leg Injuries - pathology ; Limbs ; Logistic Models ; Logistic regression ; Lower extremity injury ; Male ; Middle Aged ; Motor Vehicles ; NASS-CDS ; Occupant injuries ; Prevalence ; Probability ; Ratings ; Tibia ; United States - epidemiology ; Young Adult</subject><ispartof>Accident analysis and prevention, 2015-10, Vol.83, p.37-46</ispartof><rights>2015 Elsevier Ltd</rights><rights>Copyright © 2015 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c447t-d3038641470fae84bc5a3524693f6816885db265ffa7d1461c921412e9f58f6a3</citedby><cites>FETCH-LOGICAL-c447t-d3038641470fae84bc5a3524693f6816885db265ffa7d1461c921412e9f58f6a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.aap.2015.06.013$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27922,27923,45993</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26196465$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ye, Xin</creatorcontrib><creatorcontrib>Poplin, Gerald</creatorcontrib><creatorcontrib>Bose, Dipan</creatorcontrib><creatorcontrib>Forbes, Aaron</creatorcontrib><creatorcontrib>Hurwitz, Shepard</creatorcontrib><creatorcontrib>Shaw, Greg</creatorcontrib><creatorcontrib>Crandall, Jeff</creatorcontrib><title>Analysis of crash parameters and driver characteristics associated with lower limb injury</title><title>Accident analysis and prevention</title><addtitle>Accid Anal Prev</addtitle><description>•Frequency, risk and patterns of lower limb injuries due to vehicle information and occupant parameters were fully examined.•A multi-variate logistic regression model was developed to analyze odds ratios of knee and below knee lower limb injuries.•Disconnect was revealed between improvement from standardized crash tests and real-world lower limb injury prevalence.•Lower extremity injuries still remain the most common AIS 2+ injury in frontal crashes.
This study aims to investigate changes in frequency, risk, and patterns of lower limb injuries due to vehicle and occupant parameters as a function of vehicle model year. From the National Automotive Sampling System-Crashworthiness Data System, 10,988 observations were sampled and analyzed, representing 4.7 million belted drivers involved in frontal crashes for the years 1998–2010.
A logistic regression model was developed to understand the association of sustaining knee and below knee lower limb injuries of moderate or greater severity with motor vehicle crash characteristics such as vehicle type and model years, toepan and instrument panel intrusions in addition to the occupant’s age, gender, height and weight. Toepan intrusion greater than 2cm was significantly associated with an increased likelihood of injury (odds ratio: 9.10, 95% confidence interval 1.82–45.42). Females sustained a higher likelihood of distal lower limb injuries (OR: 6.83, 1.56–29.93) as compared to males. Increased mass of the driver was also found to have a positive association with injury (OR: 1.04, 1.02–1.06), while age and height were not associated with injury likelihood. Relative to passenger cars, vans exhibited a protective effect against sustaining lower limb injury (OR: 0.24, 0.07–0.78), whereas no association was shown for light trucks (OR: 1.31, 0.69–2.49) or SUVs (OR: 0.76, 0.28–2.02).
To examine whether current crash testing results are representative of real-world NASS-CDS findings, data from frontal offset crash tests performed by the Insurance Institute for Highway Safety (IIHS) were examined. IIHS data indicated a decreasing trend in vehicle foot well and toepan intrusion, foot accelerations, tibia axial forces and tibia index in relation to increasing vehicle model year between the year 1995 and 2013. Over 90% of vehicles received the highest IIHS rating, with steady improvement from the upper and lower tibia index, tibia axial force and the resultant foot acceleration considering both left and right extremities. Passenger cars received the highest rating followed by SUVs and light trucks, while vans attained the lowest rating.
These results demonstrate that while there has been steady improvement in vehicle crash test performance, below-knee lower extremity injuries remain the most common AIS 2+ injury in real-world frontal crashes.</description><subject>Abbreviated Injury Scale</subject><subject>Acceleration</subject><subject>Accidents, Traffic - statistics & numerical data</subject><subject>Adult</subject><subject>Aged</subject><subject>Automobiles</subject><subject>Automotive engineering</subject><subject>Body Weight</subject><subject>Crashes</subject><subject>Female</subject><subject>Humans</subject><subject>Injuries</subject><subject>Leg Injuries - epidemiology</subject><subject>Leg Injuries - pathology</subject><subject>Limbs</subject><subject>Logistic Models</subject><subject>Logistic regression</subject><subject>Lower extremity injury</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Motor Vehicles</subject><subject>NASS-CDS</subject><subject>Occupant injuries</subject><subject>Prevalence</subject><subject>Probability</subject><subject>Ratings</subject><subject>Tibia</subject><subject>United States - epidemiology</subject><subject>Young Adult</subject><issn>0001-4575</issn><issn>1879-2057</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1rGzEQhkVpaJy0P6CXomMvu9Hs6mvpyZg2CQR6SQ45CVkaYZn9cKW1jf99FZzmWHIaZvTMO6CHkK_AamAgb7a1tbu6YSBqJmsG7QeyAK26qmFCfSQLxhhUXChxSa5y3pZWaSU-kctGQie5FAvyvBxtf8ox0ylQl2ze0J1NdsAZU6Z29NSneMBE3aaMXZnGPEdXnnKeXLQzenqM84b207FQfRzWNI7bfTp9JhfB9hm_vNZr8vTr5-Pqrnr4fXu_Wj5UjnM1V75lrZYcuGLBouZrJ2wrGi67NkgNUmvh140UIVjlgUtwXQMcGuyC0EHa9pp8P-fu0vRnj3k2Q8wO-96OOO2zAaU0A855-w6Ul3ucCf0OFEBwAcAKCmfUpSnnhMHsUhxsOhlg5sWT2Zriybx4Mkya4qnsfHuN368H9G8b_8QU4McZwPJ1h4jJZBdxdOhjQjcbP8X_xP8Fjquh8g</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Ye, Xin</creator><creator>Poplin, Gerald</creator><creator>Bose, Dipan</creator><creator>Forbes, Aaron</creator><creator>Hurwitz, Shepard</creator><creator>Shaw, Greg</creator><creator>Crandall, Jeff</creator><general>Elsevier Ltd</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>7X8</scope><scope>7T2</scope><scope>7U2</scope><scope>C1K</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20151001</creationdate><title>Analysis of crash parameters and driver characteristics associated with lower limb injury</title><author>Ye, Xin ; Poplin, Gerald ; Bose, Dipan ; Forbes, Aaron ; Hurwitz, Shepard ; Shaw, Greg ; Crandall, Jeff</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-d3038641470fae84bc5a3524693f6816885db265ffa7d1461c921412e9f58f6a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Abbreviated Injury Scale</topic><topic>Acceleration</topic><topic>Accidents, Traffic - statistics & numerical data</topic><topic>Adult</topic><topic>Aged</topic><topic>Automobiles</topic><topic>Automotive engineering</topic><topic>Body Weight</topic><topic>Crashes</topic><topic>Female</topic><topic>Humans</topic><topic>Injuries</topic><topic>Leg Injuries - epidemiology</topic><topic>Leg Injuries - pathology</topic><topic>Limbs</topic><topic>Logistic Models</topic><topic>Logistic regression</topic><topic>Lower extremity injury</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Motor Vehicles</topic><topic>NASS-CDS</topic><topic>Occupant injuries</topic><topic>Prevalence</topic><topic>Probability</topic><topic>Ratings</topic><topic>Tibia</topic><topic>United States - epidemiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ye, Xin</creatorcontrib><creatorcontrib>Poplin, Gerald</creatorcontrib><creatorcontrib>Bose, Dipan</creatorcontrib><creatorcontrib>Forbes, Aaron</creatorcontrib><creatorcontrib>Hurwitz, Shepard</creatorcontrib><creatorcontrib>Shaw, Greg</creatorcontrib><creatorcontrib>Crandall, Jeff</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Accident analysis and prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ye, Xin</au><au>Poplin, Gerald</au><au>Bose, Dipan</au><au>Forbes, Aaron</au><au>Hurwitz, Shepard</au><au>Shaw, Greg</au><au>Crandall, Jeff</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of crash parameters and driver characteristics associated with lower limb injury</atitle><jtitle>Accident analysis and prevention</jtitle><addtitle>Accid Anal Prev</addtitle><date>2015-10-01</date><risdate>2015</risdate><volume>83</volume><spage>37</spage><epage>46</epage><pages>37-46</pages><issn>0001-4575</issn><eissn>1879-2057</eissn><abstract>•Frequency, risk and patterns of lower limb injuries due to vehicle information and occupant parameters were fully examined.•A multi-variate logistic regression model was developed to analyze odds ratios of knee and below knee lower limb injuries.•Disconnect was revealed between improvement from standardized crash tests and real-world lower limb injury prevalence.•Lower extremity injuries still remain the most common AIS 2+ injury in frontal crashes.
This study aims to investigate changes in frequency, risk, and patterns of lower limb injuries due to vehicle and occupant parameters as a function of vehicle model year. From the National Automotive Sampling System-Crashworthiness Data System, 10,988 observations were sampled and analyzed, representing 4.7 million belted drivers involved in frontal crashes for the years 1998–2010.
A logistic regression model was developed to understand the association of sustaining knee and below knee lower limb injuries of moderate or greater severity with motor vehicle crash characteristics such as vehicle type and model years, toepan and instrument panel intrusions in addition to the occupant’s age, gender, height and weight. Toepan intrusion greater than 2cm was significantly associated with an increased likelihood of injury (odds ratio: 9.10, 95% confidence interval 1.82–45.42). Females sustained a higher likelihood of distal lower limb injuries (OR: 6.83, 1.56–29.93) as compared to males. Increased mass of the driver was also found to have a positive association with injury (OR: 1.04, 1.02–1.06), while age and height were not associated with injury likelihood. Relative to passenger cars, vans exhibited a protective effect against sustaining lower limb injury (OR: 0.24, 0.07–0.78), whereas no association was shown for light trucks (OR: 1.31, 0.69–2.49) or SUVs (OR: 0.76, 0.28–2.02).
To examine whether current crash testing results are representative of real-world NASS-CDS findings, data from frontal offset crash tests performed by the Insurance Institute for Highway Safety (IIHS) were examined. IIHS data indicated a decreasing trend in vehicle foot well and toepan intrusion, foot accelerations, tibia axial forces and tibia index in relation to increasing vehicle model year between the year 1995 and 2013. Over 90% of vehicles received the highest IIHS rating, with steady improvement from the upper and lower tibia index, tibia axial force and the resultant foot acceleration considering both left and right extremities. Passenger cars received the highest rating followed by SUVs and light trucks, while vans attained the lowest rating.
These results demonstrate that while there has been steady improvement in vehicle crash test performance, below-knee lower extremity injuries remain the most common AIS 2+ injury in real-world frontal crashes.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>26196465</pmid><doi>10.1016/j.aap.2015.06.013</doi><tpages>10</tpages></addata></record> |
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subjects | Abbreviated Injury Scale Acceleration Accidents, Traffic - statistics & numerical data Adult Aged Automobiles Automotive engineering Body Weight Crashes Female Humans Injuries Leg Injuries - epidemiology Leg Injuries - pathology Limbs Logistic Models Logistic regression Lower extremity injury Male Middle Aged Motor Vehicles NASS-CDS Occupant injuries Prevalence Probability Ratings Tibia United States - epidemiology Young Adult |
title | Analysis of crash parameters and driver characteristics associated with lower limb injury |
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