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开发一种新的夜间噪声指数:神经生理学理论与流行病学研究结果的整合。

Development of a new night-time noise index: Integration of neurophysiological theory and epidemiological findings.

机构信息

Faculty of Engineering, Hokkaido University, Hokkaido, Japan.

Graduate School of Engineering, Hokkaido University, Hokkaido, Japan.

出版信息

Noise Health. 2020 Jan-Mar;22(104):1-9. doi: 10.4103/nah.NAH_27_20.

Abstract

BACKGROUND

The effects of environmental noise on sleep are of great interest to public health. Numerous studies have been conducted to investigate these effects; however, these previous studies applied existing sound-level statistics that were not based on neurophysiology.

AIMS

This study aimed to develop a new night-time noise index based on neurophysiology and epidemiology.

METHODS

First, we derived a formula for predicting the noise effects on sleep based on a neurophysiological model of brainstem sleep regulation, where awakening was associated with greater electrical potentials in the brainstem. Second, we investigated the noise effects on sleep using the results of an epidemiological study conducted in the vicinity of the Kadena military airfield in Okinawa, Japan. Thirty volunteers participated in the study. Vibrations of whole-body movements were recorded using sheet-shaped sleep monitors for 26 consecutive nights. The onset of motility, which was defined by monitor vibrations, was used to index awakening reactions.

RESULTS

Our statistical model could properly predict the fluctuating risk of motility onset. The new index, which is the mean of the sound level above 60 dB, can be successfully used, irrespective of the duration of noise exposure. Additionally, it out-performed existing event-related noise indices.

CONCLUSIONS

We derived a new night-time noise index for evaluating the noise effects on sleep. To our knowledge, this is the first study to explain the noise effects on sleep with the consideration of neurophysiology and epidemiology.

摘要

背景

环境噪声对睡眠的影响是公共卫生领域非常关注的问题。已经有许多研究致力于调查这些影响,但这些先前的研究应用了现有的基于生理学的噪声水平统计数据,而不是基于神经生理学的统计数据。

目的

本研究旨在基于神经生理学和流行病学开发一种新的夜间噪声指数。

方法

首先,我们根据脑干睡眠调节的神经生理学模型推导出一个预测噪声对睡眠影响的公式,其中唤醒与脑干中更大的电潜能有关。其次,我们使用在日本冲绳嘉手纳军事机场附近进行的一项流行病学研究的结果来研究噪声对睡眠的影响。30 名志愿者参加了这项研究。使用片状睡眠监测仪连续 26 晚记录全身运动的振动。以监测振动定义的运动起始被用作觉醒反应的指标。

结果

我们的统计模型可以正确预测运动起始的波动风险。新的指数是 60dB 以上的平均声级,可以成功使用,而与噪声暴露的持续时间无关。此外,它优于现有的与事件相关的噪声指数。

结论

我们推导出了一种新的夜间噪声指数,用于评估噪声对睡眠的影响。据我们所知,这是第一项考虑神经生理学和流行病学来解释噪声对睡眠影响的研究。

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