Sleep, sleepiness and motor vehicle accidents: a national survey

Sleep, sleepiness and motor vehicle accidents: a national survey
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DOI:
10.1111/j.1467-842x.2005.tb00742.x
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发表时间:
2005-02-01
影响因子:
3.5
通讯作者:
Reid, P
Reid, P
中科院分区:
医学3区
文献类型:
--
作者:
Gander, PH;Marshall, NS;Reid, P

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目的:为了评估睡眠相关因素,种族和社会经济剥夺的作用,在自我报告的机动车事故,而驾驶,控制性别,年龄和驾驶exposure.Methods后:邮件调查随机选民名册样本的10,000人年龄在30-60岁,分层年龄几十年和种族(71%的应答率)。分析样本包括5,534个电流驱动器(毛利族男性21.6%,毛利族女性21.2%,非毛利族男性30%,非毛利族女性27.2%)。(过去三年):更年轻;每周平均驾驶时间更长;从未/很少获得足够的睡眠(OR=1.26,95% CI 1.06-1.49);报告在交通停止时在车里打瞌睡的任何机会(埃普沃思嗜睡量表问题8,OR=1.52,95% CI 1.15-2.02);以及非毛利女性。总埃普沃思评分没有显着相关的事故involvement.Conclusions:慢性睡眠限制,和任何可能性打瞌睡的车轮上的机动车,是显着的独立预测自我报告参与所有类型的机动车事故,不仅是那些确定为疲劳相关。单独的埃普沃思嗜睡量表是不是一个可靠的临床工具,用于识别个人在较高的风险cross.Implications:慢性嗜睡相关因素的重要性,建立人口统计学风险因素的自我报告的机动车事故参与30-60岁的司机。这些发现加强了多方面运动的必要性,以减少困倦驾驶。
Objective: To assess the role of sleep-related factors, ethnicity and socioeconomic deprivation in self-reported motor vehicle accidents while driving, after controlling for gender, age and driving exposure.Methods: Mail survey to a random electoral roll sample of 10,000 people aged 30-60 years, stratified by age decades and ethnicity (71% response rate). The analytical sample included 5,534 current drivers (21.6% Maori men, 21.2% Maori women, 30% non-Maori men, 27.2% non-Maori women).Results: Multiple logistic regression analyses revealed the following independent risk factors for accident involvement while driving (last three years): being younger; higher average weekly driving hours; never/rarely getting enough sleep (OR=1.26, 95% Cl 1.06-1.49); reporting any chance of dozing in a car while stopped in traffic (Epworth Sleepiness Scale question 8, OR=1.52, 95% Cl 1.15-2.02); and among women, being non-Maori. Total Epworth score was not significantly related to reported accident involvement.Conclusions: Chronic sleep restriction, and any likelihood of dozing off at the wheel of a motor vehicle, were significant independent predictors of self-reported involvement in all types of motor vehicle accidents, not only those identified as fatigue-related. The Epworth Sleepiness Scale alone is not a reliable clinical tool for identifying individuals at higher risk of crashes.Implications: Factors relating to chronic sleepiness were as important as established demographic risk factors for self-reported motor vehicle accident involvement among 30-60 year-old drivers. The findings reinforce the need for multi-faceted campaigns to reduce sleepy driving.