Development of a new night-time noise index: Integration of neurophysiological theory and epidemiological findings.
TLDR
This is the first study to explain the noise effects on sleep with the consideration of neurophysiology and epidemiology, and the mean of the sound level above 60 dB can be successfully used, irrespective of the duration of noise exposure.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.read more
Citations
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Environmental Burden of Disease in Europe: Assessing Nine Risk Factors in Six Countries
Otto Hänninen,Anne B. Knol,Matti Jantunen,Tek-Ang Lim,André Conrad,Marianne Rappolder,Paolo Carrer,A.C. Fanetti,Rokho Kim,Jurgen Buekers,Rudi Torfs,Ivano Iavarone,Thomas Classen,Claudia Hornberg,Odile Mekel +14 more
TL;DR: With current methods and data, environmental burden of disease estimates support meaningful policy evaluation and resource allocation, including identification of susceptible groups and targets for efficient exposure reduction.
Journal ArticleDOI
Frequency weighting to evaluate the feeling of pressure and/or vibration caused by low-frequency noise: Re-analysis of an existing study
TL;DR: A significant interaction between 1/3 octave-band sound pressure level and frequency was indicated for ’feeling bothered’ but not ‘feeling of pressure and/or vibration’, suggesting that the ‘Feeling of pressures and vibrations’ does not originate in cochlear.
References
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Journal Article
R: A language and environment for statistical computing.
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
R Development Core Team (2010): R: A language and environment for statistical computing
TL;DR: In this article, the R Foundation for Statistical Computing (RFC) gave permission to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies.
Journal ArticleDOI
Hypothalamic regulation of sleep and circadian rhythms
TL;DR: These findings explain how various drugs affect sleep and wakefulness, and provide the basis for a wide range of environmental influences to shape wake–sleep cycles into the optimal pattern for survival.
Journal ArticleDOI
Modeling exposure–lag–response associations with distributed lag non‐linear models
TL;DR: A general statistical framework for such associations is established through the extension of distributed lag non-linear models, originally developed in time series analysis, and can be applied to study the health effects of protracted exposures to environmental factors, drugs or carcinogenic agents, among others.