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V. Blanchet

Bio: V. Blanchet is an academic researcher. The author has contributed to research in topics: Sleep in non-human animals & Sleep disorder. The author has an hindex of 1, co-authored 1 publications receiving 74 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the effects of traffic noise on sleep disturbance were evaluated in the home of people living near a main road and the results highlight that both long term average and peak levels are important in assessing sleep disturbance.

81 citations


Cited by
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TL;DR: It is found from the present review that the continuous exposure of people to road traffic noise leads to suffering from various kinds of discomfort, thus reducing appreciably the number of their well-being elements.

410 citations

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TL;DR: In assessing sleep disturbances, the domain might benefit from additional longitudinal studies on deleterious effects of noise on mental health and general well-being, as well as methodological aspects in the study of noise and sleep.

223 citations

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TL;DR: The equivalent noise level seems to be a suitable predictor for subjectively evaluated sleep quality but not for physiological sleep disturbances, where physiological sleep parameters were most severely affected by rail noise.

180 citations

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TL;DR: In this paper, the nocturnal excretion of catecholamines in urine was studied in 30-45-year-old women whose bedroom and/or living room were facing streets of varying traffic volume.

144 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide a review and systematization of noise effects modeling and findings, which can be used in noise abatement policy to find the best practical ways of reducing noise induced effects through the reduction of noise exposure.
Abstract: Because effects of environmental noise do not require extremely high or long exposures, they occur, with different degrees of intensity, in a substantial part of the world population, especially in areas with a dense population and dense transportation networks. As a consequence, noise is a global issue that continues to detract from sustainable development. This article attempts to contribute to evidence-based noise policies by providing a review and systematization of noise-effects modeling and findings. The results presented can be used in noise abatement policy to find the best practical ways of reducing noise-induced effects through the reduction of noise exposure. At present, it is possible to calculate noise maps showing the exposures to noise in residential areas. With the relationships between exposure and effects as presented here, these can be translated into estimates of the number of people affected. Estimates of effects can be made on the basis of existing noise exposures, but also on the basis of scenarios for future noise levels, so that the consequences of different scenarios can be explored and decisions with respect to noise abatement measures can be optimized. Such an evidence-based approach may be instrumental in reducing the worldwide burden of environmental noise.

124 citations