Associations Between Aircraft Noise, Sleep, and Sleep-Wake Cycle: Actimetric Data from the UK Biobank Cohort Near Four Major Airports

Overview

Journal Environ Health Perspect

Date 2024 Sep 25

PMID 39320086

Authors

Xiangpu Gong

Katie Eminson

Glory O Atilola

Calvin Jephcote

Kathryn Adams

Gabriella Captur

Andrew P Hall

Marta Blangiardo

John Gulliver

Alex V Rowlands

Anna L Hansell

Affiliations

Soon will be listed here.

Abstract

Background: Nighttime aircraft noise may affect people's sleep, yet large-scale evidence using objective and subjective measures remains limited.

Objective: Our aim was to investigate associations between nighttime aircraft noise exposure and objectively measured sleep disturbance using a large UK cohort.

Methods: We used data from 105,770 UK Biobank cohort participants exposed and unexposed to aircraft noise who lived in 44 local authority districts near 4 international airports in England. We used a generalized linear regression model to examine cross-sectional associations between aircraft noise (23:00 hours-07:00 hours) and 7-d actimetric measures collected 2013-2015 (). We also used Logit and generalized estimating equations models to examine associations between and self-reported sleep measures at enrollment (2006-2010) and follow-up (2012-2013). This approach allowed us to compare and contrast the results and support potential future meta-analyses on noise-related sleep disturbance.

Results: Cross-sectional analyses of actimetric data suggested sleep disturbance associated with , showing higher level of movements during the least active continuous 8-h time period [: 0.12 milligravitational units; 95% confidence interval (CI): 0.013, 0.23]. We also saw disrupted sleep-wake cycles as indicated by index scores of lower relative amplitude (: ; 95% CI: , ), poorer interdaily stability (: ; 95% CI: , ), and greater intradaily variability (: 0.021; 95% CI: 0.019, 0.023), comparing dB with dB. Repeated cross-sectional analyses found a 52% higher odds of more frequent daytime dozing [odds ratio (OR) ; 95% CI: 1.32, 1.75] for dB in comparison with dB, whereas the likelihood for more frequent sleeplessness was more uncertain (; 95% CI: 0.92, 1.39). Higher effect sizes were seen in preidentified vulnerable groups, including individuals of age and those with diabetes or dementia.

Conclusion: Individuals exposed to higher levels of aircraft noise experienced objectively higher levels of sleep disturbance and changes in sleep-wake cycle. https://doi.org/10.1289/EHP14156.

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