Gander Philippa H, Marshall Nathaniel S, Harris Ricci B, Reid Papaarangi
Sleep/Wake Research Centre, Research School of Public Health, Massey University, Wellington, New Zealand.
Aust N Z J Public Health. 2005 Feb;29(1):16-21. doi: 10.1111/j.1467-842x.2005.tb00742.x.
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.
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).
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% CI 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% CI 1.15-2.02); and among women, being non-Maori. Total Epworth score was not significantly related to reported accident involvement.
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.
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.
在控制性别、年龄和驾驶暴露因素后,评估与睡眠相关的因素、种族和社会经济剥夺在自我报告的驾车时机动车事故中的作用。
对10000名年龄在30 - 60岁的随机抽取的选民名册样本进行邮件调查,按年龄十年和种族分层(回复率71%)。分析样本包括5534名当前驾驶员(21.6%毛利男性、21.2%毛利女性、30%非毛利男性、27.2%非毛利女性)。
多因素逻辑回归分析揭示了以下驾车时(过去三年)事故参与的独立危险因素:年龄较小;平均每周驾驶时间较长;从未/很少获得充足睡眠(比值比=1.26,95%置信区间1.06 - 1.49);报告在交通拥堵停车时在车内有打瞌睡的任何可能性(爱泼沃斯嗜睡量表问题8,比值比=1.52,95%置信区间1.15 - 2.02);在女性中,非毛利人。爱泼沃斯总分与报告的事故参与无显著相关性。
长期睡眠受限以及在机动车驾驶时打瞌睡的任何可能性,是自我报告参与各类机动车事故的重要独立预测因素,不仅是那些被认定与疲劳相关的事故。仅爱泼沃斯嗜睡量表并非识别事故风险较高个体的可靠临床工具。
对于30 - 60岁驾驶员自我报告的机动车事故参与情况,与慢性嗜睡相关的因素和既定的人口统计学风险因素同样重要。这些发现强化了开展多方面活动以减少困倦驾驶的必要性。