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Sleep Disturbance from Road Traffic, Railways, Airplanes and from Total Environmental Noise Levels in Montreal

机译:蒙特利尔的道路交通,铁路,飞机和总体环境噪声水平引起的睡眠障碍

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The objective of our study was to measure the impact of transportation-related noise and total environmental noise on sleep disturbance for the residents of Montreal, Canada. A telephone-based survey on noise-related sleep disturbance among 4336 persons aged 18 years and over was conducted. L Night for each study participant was estimated using a land use regression (LUR) model. Distance of the respondent’s residence to the nearest transportation noise source was also used as an indicator of noise exposure. The proportion of the population whose sleep was disturbed by outdoor environmental noise in the past 4 weeks was 12.4%. The proportion of those affected by road traffic, airplane and railway noise was 4.2%, 1.5% and 1.1%, respectively. We observed an increased prevalence in sleep disturbance for those exposed to both rail and road noise when compared for those exposed to road only. We did not observe an increased prevalence in sleep disturbance for those that were both exposed to road and planes when compared to those exposed to road or planes only. We developed regression models to assess the marginal proportion of sleep disturbance as a function of estimated L Night and distance to transportation noise sources. In our models, sleep disturbance increased with proximity to transportation noise sources (railway, airplane and road traffic) and with increasing L Night values. Our study provides a quantitative estimate of the association between total environmental noise levels estimated using an LUR model and sleep disturbance from transportation noise.
机译:我们研究的目的是测量与交通有关的噪声和总环境噪声对加拿大蒙特利尔居民的睡眠干扰的影响。通过电话调查了4336名18岁以上的人与噪声有关的睡眠障碍。使用土地利用回归(LUR)模型估算每个研究参与者的L晚。受访者居住地与最近的交通噪声源的距离也被用作噪声暴露的指标。在过去的4周中,因户外环境噪声而干扰睡眠的人口比例为12.4%。受道路交通,飞机和铁路噪声影响的人的比例分别为4.2%,1.5%和1.1%。与仅接触道路和道路噪声的人相比,我们发现接触铁路和道路噪声的人睡眠障碍的患病率增加。与仅接触道路或飞机的人相比,我们没有观察到同时接触道路和飞机的人睡眠障碍的患病率增加。我们开发了回归模型,以评估睡眠干扰的边际比例作为估计的L Night和距交通噪声源的距离的函数。在我们的模型中,睡眠干扰随着靠近运输噪声源(铁路,飞机和道路交通)以及L Night值的增加而增加。我们的研究提供了使用LUR模型估算的总环境噪声水平与交通噪声引起的睡眠干扰之间的关联的定量估计。

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