Dimensions of aberrant driving behaviors and their association with road traffic injuries among drivers
Objective Road traffic injuries (RTIs) are recognized as one of the most important causes of morbidity and mortality throughout the world, especially in developing countries. Human behavior is reportedly one of the critical factors in the occurrence of such injuries. The purpose of this study is to...
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| description | Objective Road traffic injuries (RTIs) are recognized as one of the most important causes of morbidity and mortality throughout the world, especially in developing countries. Human behavior is reportedly one of the critical factors in the occurrence of such injuries. The purpose of this study is to evaluate the correlation of abnormal driving behaviors with the frequency and severity of RTIs among drivers in Hamadan, west of Iran. Methods The present cross-sectional study was conducted on 800 people driving, who were selected by multistage cluster sampling technique. Data were collected using a three-part self-administered questionnaire including demographic, social and driving characteristics; the Manchester driver behavior questionnaire (DBQ); as well as information on a history of the occurrence of the injuries caused by the crashes and the severity of them. Data were statistically analyzed using numerical indices, linear regression analysis, Pearson correlation, ordinal logistic regression model and multinomial logistic regression. Results The highest and lowest mean percentages of abnormal driving behavior were related to unintentional violations (19.13) and Lapses (16.44), respectively. "Changing radio stations and listening to music while driving", "overtaking a driver who drives slowly", and "unintentionally exceeding the speed limit" were the three highest behaviors associated with road traffic injuries, with the mean and standard deviation of (1.93 ± 1.4), (1.90±1.4), (1.58±1.3), respectively. Age, gender, educational level, driving experience and driving hours during the day were significantly associated with DBQ dimensions and severity of road traffic injuries. Conclusions The results of this study showed that socio-demographic characteristics were significantly correlated with driving behavior. In addition, driving behaviors were correlated with traffic crashes and the resulting injuries. The findings of this study can be utilized to develop driving behavior interventions among the drivers. |
| doi_str_mv | 10.1371/journal.pone.0238728 |
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Human behavior is reportedly one of the critical factors in the occurrence of such injuries. The purpose of this study is to evaluate the correlation of abnormal driving behaviors with the frequency and severity of RTIs among drivers in Hamadan, west of Iran. Methods The present cross-sectional study was conducted on 800 people driving, who were selected by multistage cluster sampling technique. Data were collected using a three-part self-administered questionnaire including demographic, social and driving characteristics; the Manchester driver behavior questionnaire (DBQ); as well as information on a history of the occurrence of the injuries caused by the crashes and the severity of them. Data were statistically analyzed using numerical indices, linear regression analysis, Pearson correlation, ordinal logistic regression model and multinomial logistic regression. Results The highest and lowest mean percentages of abnormal driving behavior were related to unintentional violations (19.13) and Lapses (16.44), respectively. "Changing radio stations and listening to music while driving", "overtaking a driver who drives slowly", and "unintentionally exceeding the speed limit" were the three highest behaviors associated with road traffic injuries, with the mean and standard deviation of (1.93 ± 1.4), (1.90±1.4), (1.58±1.3), respectively. Age, gender, educational level, driving experience and driving hours during the day were significantly associated with DBQ dimensions and severity of road traffic injuries. Conclusions The results of this study showed that socio-demographic characteristics were significantly correlated with driving behavior. In addition, driving behaviors were correlated with traffic crashes and the resulting injuries. The findings of this study can be utilized to develop driving behavior interventions among the drivers.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0238728</identifier><identifier>PMID: 32903278</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Behavior ; Biology and Life Sciences ; Correlation ; Correlation analysis ; Crashes ; Cross-sectional studies ; Data collection ; Demographics ; Developing countries ; Driver behavior ; Drivers ; Driving ability ; Earth Sciences ; Engineering and Technology ; Gender ; Health risks ; Human behavior ; Injuries ; Injury prevention ; LDCs ; Medicine and Health Sciences ; Morbidity ; Motor vehicle driving ; People and Places ; Public health ; Questionnaires ; Radio stations ; Regression analysis ; Regression models ; Roads ; Safety and security measures ; Sample size ; Sampling techniques ; Social Sciences ; Sociological research ; Statistics ; Students ; Traffic ; Traffic accidents ; Traffic accidents & safety ; Traffic control ; Traffic police ; Traffic speed ; Violations</subject><ispartof>PloS one, 2020-09, Vol.15 (9), p.e0238728-e0238728</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Rezapur-Shahkolai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Rezapur-Shahkolai et al 2020 Rezapur-Shahkolai et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c669t-b0530e55a20f1a1d819371a0952ffab9839ed5c662e32b4c189032e8291d19503</citedby><cites>FETCH-LOGICAL-c669t-b0530e55a20f1a1d819371a0952ffab9839ed5c662e32b4c189032e8291d19503</cites><orcidid>0000-0002-3008-6613</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486081/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486081/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids></links><search><contributor>Chen, Feng</contributor><creatorcontrib>Rezapur-Shahkolai, Forouzan</creatorcontrib><creatorcontrib>Taheri, Malihe</creatorcontrib><creatorcontrib>Etesamifard, Tahereh</creatorcontrib><creatorcontrib>Roshanaei, Ghodratollah</creatorcontrib><creatorcontrib>Shirahmadi, Samane</creatorcontrib><creatorcontrib>Chen, Feng</creatorcontrib><title>Dimensions of aberrant driving behaviors and their association with road traffic injuries among drivers</title><title>PloS one</title><description>Objective Road traffic injuries (RTIs) are recognized as one of the most important causes of morbidity and mortality throughout the world, especially in developing countries. Human behavior is reportedly one of the critical factors in the occurrence of such injuries. The purpose of this study is to evaluate the correlation of abnormal driving behaviors with the frequency and severity of RTIs among drivers in Hamadan, west of Iran. Methods The present cross-sectional study was conducted on 800 people driving, who were selected by multistage cluster sampling technique. Data were collected using a three-part self-administered questionnaire including demographic, social and driving characteristics; the Manchester driver behavior questionnaire (DBQ); as well as information on a history of the occurrence of the injuries caused by the crashes and the severity of them. Data were statistically analyzed using numerical indices, linear regression analysis, Pearson correlation, ordinal logistic regression model and multinomial logistic regression. Results The highest and lowest mean percentages of abnormal driving behavior were related to unintentional violations (19.13) and Lapses (16.44), respectively. "Changing radio stations and listening to music while driving", "overtaking a driver who drives slowly", and "unintentionally exceeding the speed limit" were the three highest behaviors associated with road traffic injuries, with the mean and standard deviation of (1.93 ± 1.4), (1.90±1.4), (1.58±1.3), respectively. Age, gender, educational level, driving experience and driving hours during the day were significantly associated with DBQ dimensions and severity of road traffic injuries. Conclusions The results of this study showed that socio-demographic characteristics were significantly correlated with driving behavior. In addition, driving behaviors were correlated with traffic crashes and the resulting injuries. The findings of this study can be utilized to develop driving behavior interventions among the drivers.</description><subject>Behavior</subject><subject>Biology and Life Sciences</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Crashes</subject><subject>Cross-sectional studies</subject><subject>Data collection</subject><subject>Demographics</subject><subject>Developing countries</subject><subject>Driver behavior</subject><subject>Drivers</subject><subject>Driving ability</subject><subject>Earth Sciences</subject><subject>Engineering and Technology</subject><subject>Gender</subject><subject>Health risks</subject><subject>Human behavior</subject><subject>Injuries</subject><subject>Injury prevention</subject><subject>LDCs</subject><subject>Medicine and Health Sciences</subject><subject>Morbidity</subject><subject>Motor vehicle driving</subject><subject>People and Places</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Radio stations</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Roads</subject><subject>Safety and security measures</subject><subject>Sample size</subject><subject>Sampling techniques</subject><subject>Social Sciences</subject><subject>Sociological research</subject><subject>Statistics</subject><subject>Students</subject><subject>Traffic</subject><subject>Traffic accidents</subject><subject>Traffic accidents & safety</subject><subject>Traffic control</subject><subject>Traffic police</subject><subject>Traffic 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of aberrant driving behaviors and their association with road traffic injuries among drivers</title><author>Rezapur-Shahkolai, Forouzan ; Taheri, Malihe ; Etesamifard, Tahereh ; Roshanaei, Ghodratollah ; Shirahmadi, Samane ; Chen, Feng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c669t-b0530e55a20f1a1d819371a0952ffab9839ed5c662e32b4c189032e8291d19503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Behavior</topic><topic>Biology and Life Sciences</topic><topic>Correlation</topic><topic>Correlation analysis</topic><topic>Crashes</topic><topic>Cross-sectional studies</topic><topic>Data collection</topic><topic>Demographics</topic><topic>Developing countries</topic><topic>Driver behavior</topic><topic>Drivers</topic><topic>Driving ability</topic><topic>Earth Sciences</topic><topic>Engineering and Technology</topic><topic>Gender</topic><topic>Health 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Feng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dimensions of aberrant driving behaviors and their association with road traffic injuries among drivers</atitle><jtitle>PloS one</jtitle><date>2020-09-09</date><risdate>2020</risdate><volume>15</volume><issue>9</issue><spage>e0238728</spage><epage>e0238728</epage><pages>e0238728-e0238728</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Objective Road traffic injuries (RTIs) are recognized as one of the most important causes of morbidity and mortality throughout the world, especially in developing countries. Human behavior is reportedly one of the critical factors in the occurrence of such injuries. The purpose of this study is to evaluate the correlation of abnormal driving behaviors with the frequency and severity of RTIs among drivers in Hamadan, west of Iran. Methods The present cross-sectional study was conducted on 800 people driving, who were selected by multistage cluster sampling technique. Data were collected using a three-part self-administered questionnaire including demographic, social and driving characteristics; the Manchester driver behavior questionnaire (DBQ); as well as information on a history of the occurrence of the injuries caused by the crashes and the severity of them. Data were statistically analyzed using numerical indices, linear regression analysis, Pearson correlation, ordinal logistic regression model and multinomial logistic regression. Results The highest and lowest mean percentages of abnormal driving behavior were related to unintentional violations (19.13) and Lapses (16.44), respectively. "Changing radio stations and listening to music while driving", "overtaking a driver who drives slowly", and "unintentionally exceeding the speed limit" were the three highest behaviors associated with road traffic injuries, with the mean and standard deviation of (1.93 ± 1.4), (1.90±1.4), (1.58±1.3), respectively. Age, gender, educational level, driving experience and driving hours during the day were significantly associated with DBQ dimensions and severity of road traffic injuries. Conclusions The results of this study showed that socio-demographic characteristics were significantly correlated with driving behavior. In addition, driving behaviors were correlated with traffic crashes and the resulting injuries. The findings of this study can be utilized to develop driving behavior interventions among the drivers.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>32903278</pmid><doi>10.1371/journal.pone.0238728</doi><tpages>e0238728</tpages><orcidid>https://orcid.org/0000-0002-3008-6613</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Behavior Biology and Life Sciences Correlation Correlation analysis Crashes Cross-sectional studies Data collection Demographics Developing countries Driver behavior Drivers Driving ability Earth Sciences Engineering and Technology Gender Health risks Human behavior Injuries Injury prevention LDCs Medicine and Health Sciences Morbidity Motor vehicle driving People and Places Public health Questionnaires Radio stations Regression analysis Regression models Roads Safety and security measures Sample size Sampling techniques Social Sciences Sociological research Statistics Students Traffic Traffic accidents Traffic accidents & safety Traffic control Traffic police Traffic speed Violations |
| title | Dimensions of aberrant driving behaviors and their association with road traffic injuries among drivers |
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