Calculation of the physiologically developed nighttime noise index from existing noise indices

• Main Authors: Junta Tagusari, Yusei Tanaka, Toshihito Matsui
• Format: Article
• Language: English
• Published: Wolters Kluwer Medknow Publications 2021-01-01
• Series: Noise and Health
• Subjects: aircraft noise; neurophysiology; night equivalent sound level; nighttime noise; number of noise events
• Online Access: http://www.noiseandhealth.org/article.asp?issn=1463-1741;year=2021;volume=23;issue=110;spage=75;epage=80;aulast=Tagusari

Background: 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 ([INSIDE:1]) may be used effectively to evaluate the effects of nighttime noise exposure. However, the efficacy of using [INSIDE:2] has only been confirmed in a specific setting; therefore, the reliability of [INSIDE:3] in other situations should be investigated by applying it in epidemiologic studies. In this study, we aimed to obtain an alternative equation for calculating [INSIDE:4] from existing noise indices, given that detailed information on fluctuations in sound levels, needed to calculate [INSIDE:5] according to the definition, is not readily available. Materials and Methods: We examined statistical relationships among noise indices namely [INSIDE:6], the number of noise events above 60 and 70 dB (N60 and N70), and the night equivalent sound level (Lnight). The study area was around the Kadena military airfield, where the sound levels were recorded at noise monitoring stations. Results: [INSIDE:7] showed a very strong correlation with N60 and N70 but not with Lnight. Among regression equations, an equation representing N60 and the interaction between N60 and Lnight, which is equivalent to the product of N60 and a linear expression of Lnight, showed the highest prediction capability. Conclusion: We obtained a regression equation to calculate [INSIDE:8] from N60 and Lnight. Although this alternative equation for [INSIDE:9] 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.