UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Associations between Aircraft Noise, Sleep, and Sleep–Wake Cycle: Actimetric Data from the UK Biobank Cohort near Four Major Airports

Gong, Xiangpu; Eminson, Katie; Atilola, Glory O; Jephcote, Calvin; Adams, Kathryn; Captur, Gabriella; Hall, Andrew P; ... Hansell, Anna L; + view all (2024) Associations between Aircraft Noise, Sleep, and Sleep–Wake Cycle: Actimetric Data from the UK Biobank Cohort near Four Major Airports. Environmental Health Perspectives , 132 (9) , Article 097006. 10.1289/EHP14156. Green open access

[thumbnail of Captur_gong-et-al-2024-associations-between-aircraft-noise-sleep-and-sleep-wake-cycle-actimetric-data-from-the-uk-biobank.pdf]
Preview
Text
Captur_gong-et-al-2024-associations-between-aircraft-noise-sleep-and-sleep-wake-cycle-actimetric-data-from-the-uk-biobank.pdf

Download (1MB) | Preview

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 Lnight (23:00 hours–07:00 hours) and 7-d actimetric measures collected 2013–2015 (n= 22,102). We also used Logit and generalized estimating equations models to examine associations between Lnight 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 Lnight, showing higher level of movements during the least active continuous 8-h time period [b: 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 (b: −0:006; 95% CI: −0:007, −0:005), poorer interdaily stability (b: −0:010; 95% CI: −0:014, −0:006), and greater intradaily variability (b: 0.021; 95% CI: 0.019, 0.023), comparing Lnight ≥55 dB with <45 dB. Repeated crosssectional analyses found a 52% higher odds of more frequent daytime dozing [odds ratio (OR) = 1:52; 95% CI: 1.32, 1.75] for Lnight ≥55 dB in comparison with <45 dB, whereas the likelihood for more frequent sleeplessness was more uncertain (OR = 1:13; 95% CI: 0.92, 1.39). Higher effect sizes were seen in preidentified vulnerable groups, including individuals >65 y 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.

Type: Article
Title: Associations between Aircraft Noise, Sleep, and Sleep–Wake Cycle: Actimetric Data from the UK Biobank Cohort near Four Major Airports
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1289/EHP14156
Publisher version: http://dx.doi.org/10.1289/ehp14156
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine > MRC Unit for Lifelong Hlth and Ageing
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10199426
Downloads since deposit
154Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item