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飞机噪音:对睡眠宏观和微观结构的影响。

Aircraft noise: effects on macro- and microstructure of sleep.

作者信息

Basner Mathias, Glatz Christian, Griefahn Barbara, Penzel Thomas, Samel Alexander

机构信息

German Aerospace Center DLR, Institute of Aerospace Medicine, Köln, Germany.

出版信息

Sleep Med. 2008 May;9(4):382-7. doi: 10.1016/j.sleep.2007.07.002. Epub 2007 Sep 17.

DOI:10.1016/j.sleep.2007.07.002
PMID:17870661
Abstract

OBJECTIVE

The effects of aircraft noise on sleep macrostructure (Rechtschaffen and Kales) and microstructure (American Sleep Disorders Association [ASDA] arousal criteria) were investigated.

PATIENTS AND METHODS

For each of 10 subjects (mean age 35.3 years, 5 males), a baseline night without aircraft noise (control), and two nights with exposure to 64 noise events with a maximum sound pressure level (SPL) of either 45 or 65 dBA were chosen. Spontaneous and noise-induced alterations during sleep classified as arousals (ARS), changes to lighter sleep stages (CSS), awakenings including changes to sleep stage 1 (AS1), and awakenings (AWR) were analyzed.

RESULTS

The number of events per night increased in the order AWR, AS1, CSS, and ARS under control conditions as well as under the two noise conditions. Furthermore, probabilities for sleep disruptions increased with increasing noise level. ARS were observed about fourfold compared to AWR, irrespective of control or noise condition.

CONCLUSIONS

Under the conditions investigated, different sleep parameters show different sensitivities, but also different specificities for noise-induced sleep disturbances. We conclude that most information on sleep disturbances can be achieved by investigating robust classic parameters like AWR or AS1, although ASDA electroencephalographic (EEG) arousals might add relevant information in situations with low maximum SPLs, chronic sleep deprivation or chronic exposure.

摘要

目的

研究飞机噪声对睡眠宏观结构( Rechtschaffen和Kales分类法)和微观结构(美国睡眠障碍协会[ASDA]觉醒标准)的影响。

患者和方法

选取10名受试者(平均年龄35.3岁,男性5名),分别进行一个无飞机噪声的基线夜晚(对照),以及两个暴露于64次噪声事件的夜晚,最大声压级(SPL)分别为45或65分贝。分析睡眠期间自发的和噪声诱发的变化,这些变化分为觉醒(ARS)、睡眠阶段变浅(CSS)、包括睡眠阶段1变化的觉醒(AS1)和觉醒(AWR)。

结果

在对照条件以及两种噪声条件下,每晚事件数量按AWR、AS1、CSS和ARS的顺序增加。此外,睡眠中断的概率随噪声水平的增加而增加。无论对照或噪声条件如何,观察到的ARS是AWR的约四倍。

结论

在所研究的条件下,不同的睡眠参数对噪声诱发的睡眠干扰显示出不同的敏感性,但也有不同的特异性。我们得出结论,通过研究像AWR或AS1这样稳健的经典参数,可以获得关于睡眠干扰的大多数信息,尽管在最大SPL较低、慢性睡眠剥夺或长期暴露的情况下,ASDA脑电图(EEG)觉醒可能会增加相关信息。

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