|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|4924637||1363101||2017||7 صفحه PDF||13 صفحه WORD||دانلود کنید|
2- افراد و روش ها
1-2 . جمع آوری داده ها
2-2. رفتارهای نابجای راننده
3-2. اندازه گیری میزان خستگی و طراحی مقیاس
4-2. ارزیابی خواب آلودگی راننده: مقیاس استنفورد و مقیاس Epworth در رابطه با خواب آلودگی
3. نتایج و بحث
جدول 1 - جامعه شناسی افراد مورد مطالعه توسط رانندگان گروه مورد و شاهد (1545 نفر).
جدول 2 . ویژگی های شیوه ی زندگی افراد مورد مطالعه توسط رانندگان مورد و شاهد (1545 نفر).
جدول 3-رانندگان الگوي پذیرفته شده به دليل وجود علل صدمات ناشي از وسايل نقليه ی موتوري در مقايسه با افراد گروه كنترل (1545 نفر).
جدول 4 - آنالیزهای مربوط به رگرسيون لجیستيك چند متغيره ی میزان آسیب به عنوان نقش رفتار راننده ی تهاجمي، خستگي و خواب آلودگي (N = 1545).
4. نتیجه گیری و محدودیت های روش شناسی
- This study confirmed association between feeling fatigue, tiredness or sleepy, aggressive driving behavior among drivers with a substantial increase in the risk of a vehicle crash resulting in serious road injury.
- Young drivers are more likely to be involved in collisions during lane-changing than non lane-hanging drivers.
- The levels of acute driver sleepiness measured by the Stanford score were in strong association with the risk of injuries.
- The fatigue, sleep deprivation and excessive speed in cars are widespread risk factors of crashes and injuries.
BackgroundA few studies have been conducted to determine the relationship between road motor vehicle crashes (MVC) and serious injuries related to tiredness, fatigues and sleeping.AimTo determine the effects of aggressive behaviour, driver sleepiness and fatigue on MVC and related injuries among Turkish population.Design and settingPopulation-based case and control study conducted at the accident emergency departments of hospitals and roads.Subjects515 car drivers involved in crashes with injury were admitted to hospital and 1030 car drivers involved while driving on public roads as control group during the study period.MethodsThe Manchester driver behaviour questionnaire (DBQ) measured the aberrant driving behaviours leading to accidents. Participants completed a fatigue severity scale (FSS) and Stanford Sleeping questionnaire an epworth scale with items related to socio-demographic information, driving experiences, adherence to traffic laws (such as speed limits and seat belt), and drivers' driving records.ResultsIn a representative sampling, participant's age ranged from 25 to 65 and the mean and standard deviation were 36.5 Â± 7.8 for cases and 37.0 Â± 8.0 for controls. There was a significant difference in both group of drivers regarding BMI, level of education, marital status, driving experience, seat belt use, excessive speed limits, physical activity number of sleeping hours, mobile phone use, and cigarette smoking habit (p = 0.017). Also, there was a significant higher mean score on all the DBQ violation questions among case group in comparison with the control group (p < 0.001). Further, cases had higher prevalence of Epworth sleeping disorders (p < 0.001) and fatigue severity (p = 0.003) compared to control drivers. Multivariate logistic regression revealed that excessive speed, fatigue, lapses, errors, Stanford sleepiness score, violations, mobile phone use and Epworth sleepiness scale were significantly associated with injury involvement in vehicle crash, after adjusting for driving experience and annual mileage.ConclusionThe current study confirmed that drivers with chronic fatigue, acute sleepiness, and careless driver behavior may significantly increases the risk of road crash which can be lead to serious injury.
Journal: Journal of Traffic and Transportation Engineering (English Edition) - Volume 4, Issue 5, October 2017, Pages 496-502open access