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Hypertension and exposure to noise near airports (HYENA):Study design and noise exposure assessment

机译:机场附近的高血压和噪声暴露(HYENA):研究设计和噪声暴露评估

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摘要

An increasing number of people live near airports with considerable noise and air pollution. The Hypertension and Exposure to Noise near Airports (HYENA) project aims to assess the impact of airport-related noise exposure on blood pressure (BP) and cardiovascular disease using a cross-sectional study design. We selected 6,000 persons (45-70 years of age) who had lived at least 5 years near one of six major European airports. We used modeled aircraft noise contours, aiming to maximize exposure contrast. Automated BP instruments are used to reduce observer error. We designed a standardized questionnaire to collect data on annoyance, noise disturbance, and major confounders. Cortisol in saliva was collected in a subsample of the study population (n = 500) stratified by noise exposure level. To investigate short-term noise effects on BP and possible effects on nighttime BP dipping, we measured 24-hr BP and assessed continuous night noise in another subsample (n = 200). To ensure comparability between countries, we used common noise models to assess individual noise exposure, with a resolution of 1 dB(A). Modifiers of individual exposure, such as the orientation of living and bedroom toward roads, window-opening habits, and sound insulation, were assessed by the questionnaire. For four airports, we estimated exposure to air pollution to explore modifying effects of air pollution on cardiovascular disease. The project assesses exposure to traffic-related air pollutants, primarily using data from another project funded by the European Union (APMoSPHERE, Air Pollution Modelling for Support to Policy on Health and Environmental Risks in Europe).
机译:越来越多的人住在机场附近,那里的噪音和空气污染严重。机场附近的高血压和噪声暴露(HYENA)项目旨在使用横断面研究设计来评估与机场相关的噪声暴露对血压(BP)和心血管疾病的影响。我们选择了在六个欧洲主要机场之一附近居住至少5年的6,000人(45-70岁)。我们使用了建模的飞机噪声轮廓,旨在最大程度地提高曝光对比度。自动化的BP仪器用于减少观察者误差。我们设计了一个标准化问卷,以收集有关烦恼,噪声干扰和主要混杂因素的数据。唾液中的皮质醇收集在研究人群的一个子样本(n = 500)中,该样本按噪声暴露水平分层。为了研究对BP的短期噪声影响以及对夜间BP下降的可能影响,我们测量了24小时BP,并在另一个子样本(n = 200)中评估了连续的夜间噪声。为确保国家之间的可比性,我们使用通用噪声模型来评估单个噪声暴露,分辨率为1 dB(A)。通过问卷调查评估了个人暴露的修饰语,例如起居室和卧室对道路的朝向,开窗习惯和隔音效果。对于四个机场,我们估计了空气污染的暴露量,以探索空气污染对心血管疾病的改善作用。该项目主要使用欧盟资助的另一个项目的数据(APMoSPHERE,《欧洲空气污染模型支持欧洲健康和环境风险政策》)来评估与交通相关的空气污染物的暴露程度。

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