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The assessment of the health benefits of a night curfew on truck traffic in an alpine valley: effects on sleep and annoyance

机译:宵禁对高山区卡车交通的健康益处的评估:对睡眠和烦恼的影响

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Background: The WHO-JCR has provided a general methodology to assess the health impact of environmental noise at larger scale. Switzerland used this methodology in a recent assessment. Other countries use their own assessment strategies. At smaller scales (regional, community) the application of this methodology is limited due to the use of standard exposure effect curves. In order to ensure to meet local needs (alpine valley) we adapted the methodology. Methods: We used actual GIS noise map information and merged it with GIS population information to get the number of noise exposed (30 to 70 dBA, L_(day), L_(evening) and L_(night)). On the effect side we used annoyance, sleep disturbance, hypertension and myocardial infarction. A mix of standard and regional exposure response information was applied. An upper and lower 95% confidence interval was derived for the prevalence estimates. With cost calculations we relied on the experience of the HEIMTSA-project. Results: The status quo yields high annoyance (3000-5000 persons) and high sleep disturbance (3000-4000 persons) as most important contributors. However, sleep disturbance shows the highest gain through a night curfew in truck traffic in health terms (number of affected, DALYs) and even more in health cost.
机译:背景:WHO-JCR提供了一种通用方法,可以更大规模地评估环境噪声对健康的影响。瑞士在最近的评估中使用了这种方法。其他国家使用自己的评估策略。在较小规模(区域,社区),由于使用标准的曝光效果曲线,因此该方法的应用受到限制。为了确保满足当地需求(高山山谷),我们对方法进行了调整。方法:我们使用实际的GIS噪声图信息并将其与GIS人口信息合并,以获取暴露的噪声数量(30至70 dBA,L_(白天),L_(晚上)和L_(晚上))。在效果方面,我们使用烦恼,睡眠障碍,高血压和心肌梗塞。应用了标准和区域暴露响应信息的混合。得出上下95%的置信区间用于患病率估计。通过成本计算,我们依靠HEIMTSA项目的经验。结果:现状是最主要的贡献者,其烦恼程度很高(3000-5000人),而睡眠障碍也很严重(3000-4000人)。但是,就健康而言(受累人数,DALYs数量),夜间宵禁在卡车交通中获得了最大的收益,而医疗费用则更高。

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