Spatial clusters of daytime sleepiness and association with nighttime noise levels in a Swiss general population (GeoHypnoLaus).

Détails

Ressource 1Télécharger: 29861399.pdf (817.15 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_AE3D091C384A
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Spatial clusters of daytime sleepiness and association with nighttime noise levels in a Swiss general population (GeoHypnoLaus).
Périodique
International journal of hygiene and environmental health
Auteur(s)
Joost S., Haba-Rubio J., Himsl R., Vollenweider P., Preisig M., Waeber G., Marques-Vidal P., Heinzer R., Guessous I.
ISSN
1618-131X (Electronic)
ISSN-L
1438-4639
Statut éditorial
Publié
Date de publication
07/2018
Peer-reviewed
Oui
Volume
221
Numéro
6
Pages
951-957
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
Daytime sleepiness is highly prevalent in the general adult population and has been linked to an increased risk of workplace and vehicle accidents, lower professional performance and poorer health. Despite the established relationship between noise and daytime sleepiness, little research has explored the individual-level spatial distribution of noise-related sleep disturbances. We assessed the spatial dependence of daytime sleepiness and tested whether clusters of individuals exhibiting higher daytime sleepiness were characterized by higher nocturnal noise levels than other clusters.
Population-based cross-sectional study, in the city of Lausanne, Switzerland. Sleepiness was measured using the Epworth Sleepiness Scale (ESS) for 3697 georeferenced individuals from the CoLaus|PsyCoLaus cohort (period = 2009-2012). We used the sonBASE georeferenced database produced by the Swiss Federal Office for the Environment to characterize nighttime road traffic noise exposure throughout the city. We used the GeoDa software program to calculate the Getis-Ord G <sub>i</sub> * statistics for unadjusted and adjusted ESS in order to detect spatial clusters of high and low ESS values. Modeled nighttime noise exposure from road and rail traffic was compared across ESS clusters.
Daytime sleepiness was not randomly distributed and showed a significant spatial dependence. The median nighttime traffic noise exposure was significantly different across the three ESS Getis cluster classes (p < 0.001). The mean nighttime noise exposure in the high ESS cluster class was 47.6, dB(A) 5.2 dB(A) higher than in low clusters (p < 0.001) and 2.1 dB(A) higher than in the neutral class (p < 0.001). These associations were independent of major potential confounders including body mass index and neighborhood income level.
Clusters of higher daytime sleepiness in adults are associated with higher median nighttime noise levels. The identification of these clusters can guide tailored public health interventions.
Mots-clé
Adult, Aged, Cluster Analysis, Female, Humans, Male, Middle Aged, Noise, Sleepiness, Spatial Analysis, Switzerland, Epworth sleepiness scale, GIS, General population, Spatial clustering, Traffic noise exposure
Pubmed
Web of science
Open Access
Oui
Création de la notice
11/06/2018 14:54
Dernière modification de la notice
20/08/2019 15:18
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