posted on 2024-10-29, 09:55authored byXiangpu 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
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 formula presented (23:00 hours-07:00 hours) and 7-d actimetric measures collected 2013-2015 (formula presented ). We also used Logit and generalized estimating equations models to examine associations between formula presented 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 formula presented , showing higher level of movements during the least active continuous 8-h time period [formula presented : 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 (formula presented : formula presented ; 95% CI: formula presented ), poorer interdaily stability (formula presented : formula presented ; 95% CI: formula presented ), and greater intradaily variability (formula presented : 0.021; 95% CI: 0.019, 0.023), comparing formula presented dB with formula presented dB. Repeated cross-sectional analyses found a 52% higher odds of more frequent daytime dozing [odds ratio (OR) formula presented ; 95% CI: 1.32, 1.75] for formula presented dB in comparison with formula presented dB, whereas the likelihood for more frequent sleeplessness was more uncertain (formula presented ; 95% CI: 0.92, 1.39). Higher effect sizes were seen in preidentified vulnerable groups, including individuals formula presented 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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College of Life Sciences
College of Science & Engineering
Population Health Sciences
Geography, Geology & Environment