Sleep Disturbance from Road Traffic, Railways, Airplanes and from Total Environmental Noise Levels in Montreal

Stéphane Perron, Céline Plante, Martina S. Ragettli, David J. Kaiser, Sophie Goudreau and Audrey Smargiassi
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Stéphane Perron: Public Health Department of Montreal, Montreal, QC H2L 1M3, Canada
Céline Plante: Public Health Department of Montreal, Montreal, QC H2L 1M3, Canada
Martina S. Ragettli: Swiss Tropical and Public Health Institute, Basel 4002, Switzerland
David J. Kaiser: Public Health Department of Montreal, Montreal, QC H2L 1M3, Canada
Sophie Goudreau: Public Health Department of Montreal, Montreal, QC H2L 1M3, Canada
Audrey Smargiassi: National Institute of Public Health Quebec, Montreal, QC H3C 2B9, Canada

IJERPH, 2016, vol. 13, issue 8, 1-21

Abstract: The objective of our study was to measure the impact of transportation-related noise and total environmental noise on sleep disturbance for the residents of Montreal, Canada. A telephone-based survey on noise-related sleep disturbance among 4336 persons aged 18 years and over was conducted. L Night for each study participant was estimated using a land use regression (LUR) model. Distance of the respondent’s residence to the nearest transportation noise source was also used as an indicator of noise exposure. The proportion of the population whose sleep was disturbed by outdoor environmental noise in the past 4 weeks was 12.4%. The proportion of those affected by road traffic, airplane and railway noise was 4.2%, 1.5% and 1.1%, respectively. We observed an increased prevalence in sleep disturbance for those exposed to both rail and road noise when compared for those exposed to road only. We did not observe an increased prevalence in sleep disturbance for those that were both exposed to road and planes when compared to those exposed to road or planes only. We developed regression models to assess the marginal proportion of sleep disturbance as a function of estimated L Night and distance to transportation noise sources. In our models, sleep disturbance increased with proximity to transportation noise sources (railway, airplane and road traffic) and with increasing L Night values. Our study provides a quantitative estimate of the association between total environmental noise levels estimated using an LUR model and sleep disturbance from transportation noise.

Keywords: transportation noise; sleep disturbance; land use regression (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:13:y:2016:i:8:p:809-:d:75784

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