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ROAD TRAFFIC ACCIDENTS ATTITUDE AND BEHAVIOR IN AL-DIRIYAH, RIYADH 2016

Authors: Abdalaziz Mazyad Algonim, Abdulaziz Abdullah Alzwaid, Abdulkarim Moustafa Alkadrou, ‏Abdulmaged Khalid A Binmuhareb, Abdelrahman Mohsen Mousa, Basm Jalal Altwijri, ‏Hejab Abdullah Aldawsari, Meshal Shafig Abu laban, Mohammed Emad Kashmiri, Salman Mesfer Alyaseen, Amar Fathi Mohamed Khalifa;

ROAD TRAFFIC ACCIDENTS ATTITUDE AND BEHAVIOR IN AL-DIRIYAH, RIYADH 2016

Abstract

Background: Road traffic accidents are a major health hazard in the world. Everyday thousands of people are killed and injured on our roads. Objective: Our study aimed to determine attitude and behaviour of road traffic accident among high school student in Riyadh. Methodology: school based cross sectional study sample size was 197 among high school students in Diriyah, Riyadh, Saudi Arabia. high school students of Diriyah province. Inclusion level was 29 and 30 year of high school students. Exclusion was female and staff. Sample Technique was systematic random. Data collection using pretested, preceded questioner and analysed using SPSS version 20. P-value of less than 0.05 was considered significant result. Results: 96.5% of participants showed a good level of knowledge toward traffic regulation. 83.25% of participants showed a good attitude. 53.8% of participants were fully aware of the traffic signs. 51.3% of participants had an accident before. 26.9% had driving license. Conclusion: The majority of our respondent showed good level of knowledge regarding of traffic regulation, the minority of participants has driving license, almost half of participants use mobile phone while driving, most of participants don't use seat belt. Keywords: Attitude, Behaviour, Accidents, Traffic.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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