Literature DB >> 26506986

Prevalence and characteristics of road traffic injuries among young drivers in Oman, 2009-2011.

Hamed Al Reesi1,2, Abdullah Al Maniri3, Samir Al Adawi4, Jeremy Davey5, Kerry Armstrong5, Jason Edwards5.   

Abstract

OBJECTIVES: Studies from different parts of the world have indicated that the impact of road traffic incidents disproportionally affects young adults. Few known studies have been forthcoming from Arabian Gulf countries. Within Oman, a high proportion of the population is under the age of 20. Coupled with the drastic increase in motorization in recent years, there is a need to understand the state of road safety among young people in Oman. The current research aimed to explore the prevalence and characteristics of road traffic injuries among young drivers aged 17-25 years.
METHODS: Crash data from 2009 to 2011 were extracted from the Directorate General of Traffic, Royal Oman Police (ROP) database in Oman. The data were analyzed to explore the impact of road crashes on young people (17-25 years), the characteristics of young driver crashes, and how these differ from older drivers and to identify key predictors of fatalities in young driver crashes.
RESULTS: Overall, young people were overrepresented in injuries and fatalities within the sample time period. Though it is true that many young people in crashes were driving at the time, it was also evident that young people were often victims in a crash caused by someone else. Thus, to reduce the impact of road crashes on young people, there is a need to generally address road safety within Oman. When young drivers were involved in crashes they were predominantly male. The types of crashes these drivers have can be broadly attributed to risk taking and inexperience. Speeding and nighttime driving were the key risk factors for fatalities.
CONCLUSION: The results highlight the need to address young driver safety in Oman. From these findings, the introduction of a graduated driver licensing system with nighttime driving restrictions could significantly improve young driver safety.

Entities:  

Keywords:  Middle East; crash; driving; oman; traffic; young

Mesh:

Year:  2015        PMID: 26506986     DOI: 10.1080/15389588.2015.1107679

Source DB:  PubMed          Journal:  Traffic Inj Prev        ISSN: 1538-9588            Impact factor:   1.491


  6 in total

1.  Risk of Injury and Mortality among Driver Victims Involved in Single-Vehicle Crashes in Taiwan: Comparisons between Vehicle Types.

Authors:  Ya-Hui Chang; Chung-Yi Li; Tsung-Hsueh Lu; Kurnia Dwi Artanti; Wen-Hsuan Hou
Journal:  Int J Environ Res Public Health       Date:  2020-06-29       Impact factor: 3.390

2.  Determinants of speeding among new generations of car drivers from the Arabian Peninsula. An investigation based among Omani drivers using the theory of planned behaviour.

Authors:  Constance Boissin; Abdullah Ali Al Maniri; Ali Sulieman Al-Azri; Marie Hasselberg; Lucie Laflamme
Journal:  PLoS One       Date:  2019-12-16       Impact factor: 3.240

3.  Road Traffic Injuries and Related Safety Measures: A Multicentre Analysis at Military Hospitals in Tabuk, Saudi Arabia.

Authors:  Umar Yagoub; Nasrin S Saiyed; Bahaa-Eldin E A Rahim; Nizar Musawa; Attiya Mohammed Al Zahrani
Journal:  Emerg Med Int       Date:  2021-02-10       Impact factor: 1.112

4.  Disentangling age-gender interactions associated with risks of fatal and non-fatal road traffic injuries in the Sultanate of Oman.

Authors:  Amira K Al-Aamri; Sabu S Padmadas; Li-Chun Zhang; Abdullah A Al-Maniri
Journal:  BMJ Glob Health       Date:  2017-09-22

5.  The characteristics and patterns of utilization of healthcare services among Omanis with substance use disorders attending therapy for cessation.

Authors:  Nabila Al Wahaibi; Anwaar Al Lawati; Falaah Al Ruqeishy; Abdulla Al Khatri; Yahya Al-Farsi; Tahira M A Juma; Fatma Al Hinai; Nasser Al-Sibani; Sangeetha Mahadevan; Samir Al-Adawi
Journal:  PLoS One       Date:  2019-01-31       Impact factor: 3.240

6.  Predicting and Analyzing Road Traffic Injury Severity Using Boosting-Based Ensemble Learning Models with SHAPley Additive exPlanations.

Authors:  Sheng Dong; Afaq Khattak; Irfan Ullah; Jibiao Zhou; Arshad Hussain
Journal:  Int J Environ Res Public Health       Date:  2022-03-02       Impact factor: 3.390

  6 in total

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