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Profile of non-fatal injuries due to road traffic accidents from a industrial town in India
BACKGROUND: India has one of the highest road traffic accident rates in the world. To lessen this burden, information on the contributing factors is necessary. MATERIALS AND METHODS: We studied a series of cases of non-fatal road traffic accidents in two tertiary care hospitals in Pimpri, Pune, Indi...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665126/ https://www.ncbi.nlm.nih.gov/pubmed/23724378 http://dx.doi.org/10.4103/2229-5151.109409 |
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author | Bayan, Pankaj Bhawalkar, J. S. Jadhav, S. L. Banerjee, Amitav |
author_facet | Bayan, Pankaj Bhawalkar, J. S. Jadhav, S. L. Banerjee, Amitav |
author_sort | Bayan, Pankaj |
collection | PubMed |
description | BACKGROUND: India has one of the highest road traffic accident rates in the world. To lessen this burden, information on the contributing factors is necessary. MATERIALS AND METHODS: We studied a series of cases of non-fatal road traffic accidents in two tertiary care hospitals in Pimpri, Pune, India. A total of 212 non-fatal road traffic accidents admitted over a period of one year in these two hospitals constituted the study sample. The study variables were, the gender of the accident victims, mode of accident, days of week on which the accident took place, time of day when the injury was sustained, part of the body injured, nature of injury, and self-reported reasons for the accident. STATISTICAL ANALYSIS: data were summarized using percentages. The Chi-square test for goodness of fit was applied, to see whether there was any association between the different weekdays or time of day and the accidents. RESULTS: Male : female ratio was almost 5 : 1, which was statistically significant (Chi-Square for goodness of fit = 95.11, df = 1, P < 0.0001). The maximum accidents occurred on Sundays and Mondays and the least around midweek (Wednesday). This pattern was also statistically significant (Chi-square for goodness of fit = 30.09, df = 6, P < 0.001). Pedestrians were the most vulnerable group, followed by drivers and pillions of two wheelers. These categories of road users contributed to almost 80% of the cases of Road Traffic Injuries (RTIs). Accidents were more likely in the time zone of 8 pm to midnight, followed by 4 pm to 8 pm (Chi-square for goodness of fit = 89.58, df = 5, P < 0.0001). A majority of the patients sustained multiple injuries followed by injuries to the lower limbs. A majority reported impaired visibility and fatigue as the cause of accident. Almost half (46.22%) of the injured admitted to drinking alcohol on a regular basis. CONCLUSION: Wide pavements and safe zebra crossings should be provided for pedestrians, as the highest casualty in this study were pedestrians. More accidents occurred on Sundays and Mondays and in the late evenings. Extra supervision by traffic police may be considered on Sundays / Holidays and the day following. Roads should be well lit to improve visibility after sunset. |
format | Online Article Text |
id | pubmed-3665126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-36651262013-05-30 Profile of non-fatal injuries due to road traffic accidents from a industrial town in India Bayan, Pankaj Bhawalkar, J. S. Jadhav, S. L. Banerjee, Amitav Int J Crit Illn Inj Sci Original Article BACKGROUND: India has one of the highest road traffic accident rates in the world. To lessen this burden, information on the contributing factors is necessary. MATERIALS AND METHODS: We studied a series of cases of non-fatal road traffic accidents in two tertiary care hospitals in Pimpri, Pune, India. A total of 212 non-fatal road traffic accidents admitted over a period of one year in these two hospitals constituted the study sample. The study variables were, the gender of the accident victims, mode of accident, days of week on which the accident took place, time of day when the injury was sustained, part of the body injured, nature of injury, and self-reported reasons for the accident. STATISTICAL ANALYSIS: data were summarized using percentages. The Chi-square test for goodness of fit was applied, to see whether there was any association between the different weekdays or time of day and the accidents. RESULTS: Male : female ratio was almost 5 : 1, which was statistically significant (Chi-Square for goodness of fit = 95.11, df = 1, P < 0.0001). The maximum accidents occurred on Sundays and Mondays and the least around midweek (Wednesday). This pattern was also statistically significant (Chi-square for goodness of fit = 30.09, df = 6, P < 0.001). Pedestrians were the most vulnerable group, followed by drivers and pillions of two wheelers. These categories of road users contributed to almost 80% of the cases of Road Traffic Injuries (RTIs). Accidents were more likely in the time zone of 8 pm to midnight, followed by 4 pm to 8 pm (Chi-square for goodness of fit = 89.58, df = 5, P < 0.0001). A majority of the patients sustained multiple injuries followed by injuries to the lower limbs. A majority reported impaired visibility and fatigue as the cause of accident. Almost half (46.22%) of the injured admitted to drinking alcohol on a regular basis. CONCLUSION: Wide pavements and safe zebra crossings should be provided for pedestrians, as the highest casualty in this study were pedestrians. More accidents occurred on Sundays and Mondays and in the late evenings. Extra supervision by traffic police may be considered on Sundays / Holidays and the day following. Roads should be well lit to improve visibility after sunset. Medknow Publications & Media Pvt Ltd 2013 /pmc/articles/PMC3665126/ /pubmed/23724378 http://dx.doi.org/10.4103/2229-5151.109409 Text en Copyright: © International Journal of Critical Illness and Injury Science http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Bayan, Pankaj Bhawalkar, J. S. Jadhav, S. L. Banerjee, Amitav Profile of non-fatal injuries due to road traffic accidents from a industrial town in India |
title | Profile of non-fatal injuries due to road traffic accidents from a industrial town in India |
title_full | Profile of non-fatal injuries due to road traffic accidents from a industrial town in India |
title_fullStr | Profile of non-fatal injuries due to road traffic accidents from a industrial town in India |
title_full_unstemmed | Profile of non-fatal injuries due to road traffic accidents from a industrial town in India |
title_short | Profile of non-fatal injuries due to road traffic accidents from a industrial town in India |
title_sort | profile of non-fatal injuries due to road traffic accidents from a industrial town in india |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665126/ https://www.ncbi.nlm.nih.gov/pubmed/23724378 http://dx.doi.org/10.4103/2229-5151.109409 |
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