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 [β: 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 (β: -0.006; 95% CI: -0.007, -0.005), poorer interdaily stability (β: -0.010; 95% CI: -0.014, -0.006), and greater intradaily variability (β: 0.021; 95% CI: 0.019, 0.023), comparing Lnight ≥55 dB with <45 dB. Repeated cross-sectional 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 >65y 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.

中文翻译：

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飞机噪音、睡眠和睡眠-觉醒周期之间的关联：来自四个主要机场附近的英国生物银行队列的活动测量数据。


背景技术夜间飞机噪音可能会影响人们的睡眠，但使用客观和主观测量的大规模证据仍然有限。目的 我们的目的是通过英国大型队列研究夜间飞机噪音暴露与客观测量的睡眠障碍之间的关联。方法 我们使用了 105,770 名英国生物银行队列参与者的数据，他们居住在英格兰 4 个国际机场附近的 44 个地方当局区，这些参与者曾接触过或未接触过飞机噪音。我们使用广义线性回归模型来检查飞机噪声夜间（23:00 至 07:00）与 2013 年至 2015 年收集的 7 天活动测量值（n=22,102）之间的横截面关联。我们还使用 Logit 和广义估计方程模型来检查 Lnight 与入组（2006-2010 年）和随访（2012-2013 年）时自我报告的睡眠测量之间的关联。这种方法使我们能够比较和对比结果，并支持未来对与噪音相关的睡眠障碍进行潜在的荟萃分析。结果 活动测量数据的横断面分析表明睡眠障碍与 Lnight 相关，显示出在最不活动的连续 8 小时时间段内较高的运动水平 [β：0.12 毫重力单位； 95% 置信区间 (CI)：0.013，0.23]。我们还发现睡眠-觉醒周期被扰乱，表现为相对幅度较低的指数得分（β：-0.006；95％CI：-0.007，-0.005），日间稳定性较差（β：-0.010；95％CI：-0.014， -0.006），以及更大的日内变异性（β：0.021；95% CI：0.019，0.023），将 Lnight ≥55 dB 与 <45 dB 进行比较。重复的横断面分析发现，白天更频繁打瞌睡的几率要高出 52% [优势比 (OR) =1.52； 95% CI：1.32，1。75] Lnight ≥55 dB 与 <45 dB 相比，而更频繁失眠的可能性则更加不确定（OR=1.13；95% CI：0.92，1.39）。在预先确定的弱势群体中观察到较高的效应量，包括 >65 岁的个体以及患有糖尿病或痴呆症的个体。结论 暴露于较高水平飞机噪音的个体客观上会经历较高水平的睡眠障碍和睡眠-觉醒周期的变化。 https://doi.org/10.1289/EHP14156。