Faculty of Engineering, Hokkaido University, Hokkaido, Japan.
Graduate School of Engineering, Hokkaido University, Hokkaido, Japan.
Noise Health. 2021 Jul-Sep;23(110):75-80. doi: 10.4103/nah.NAH_61_20.
: The effects of noise on sleep and health have been evaluated in earlier studies using noise indices chosen on the basis of practical considerations and not on the physiologic mechanisms of sleep disturbance due to noise exposure. We investigated the neurophysiologic mechanisms of sleep and found that the arithmetic mean of the sound levels above a threshold ([Image: see text]) may be used effectively to evaluate the effects of nighttime noise exposure. However, the efficacy of using [Image: see text] has only been confirmed in a specific setting; therefore, the reliability of [Image: see text] in other situations should be investigated by applying it in epidemiologic studies. In this study, we aimed to obtain an alternative equation for calculating [Image: see text] from existing noise indices, given that detailed information on fluctuations in sound levels, needed to calculate [Image: see text] according to the definition, is not readily available.
: We examined statistical relationships among noise indices namely [Image: see text] , the number of noise events above 60 and 70 dB ( and ), and the night equivalent sound level (). The study area was around the Kadena military airfield, where the sound levels were recorded at noise monitoring stations.
: [Image: see text] showed a very strong correlation with and but not with . Among regression equations, an equation representing and the interaction between and , which is equivalent to the product of and a linear expression of , showed the highest prediction capability.
: We obtained a regression equation to calculate [Image: see text] from and . Although this alternative equation for [Image: see text] is only applicable for military aircraft noise, it will aid the re-analysis of existing epidemiologic studies as well as further investigations on the relationship between noise exposure and health effects.
早期的研究使用基于实际考虑而非基于噪声暴露引起睡眠障碍的生理机制选择的噪声指数来评估噪声对睡眠和健康的影响。我们研究了睡眠的神经生理机制,发现高于阈值的声级的平均值([图像:见正文])可有效地用于评估夜间噪声暴露的影响。然而,[图像:见正文]的有效性仅在特定环境中得到证实;因此,应通过将其应用于流行病学研究来调查[图像:见正文]在其他情况下的可靠性。在这项研究中,我们旨在从现有的噪声指数中获得计算[图像:见正文]的替代方程,因为根据定义计算[图像:见正文]所需的关于声级波动的详细信息不易获得。
我们研究了噪声指数之间的统计关系,即[图像:见正文]、高于 60 和 70dB 的噪声事件的数量(和)以及夜间等效声级()。研究区域位于嘉手纳军事机场周围,那里的噪声水平是在噪声监测站记录的。
[图像:见正文]与和高度相关,但与无关。在回归方程中,代表和的方程以及和之间的交互项,相当于和的乘积和的线性表达式,表示最高的预测能力。
我们从和获得了一个计算[图像:见正文]的回归方程。虽然这个替代[图像:见正文]的方程仅适用于军用飞机噪声,但它将有助于重新分析现有的流行病学研究,并进一步研究噪声暴露与健康影响之间的关系。