Salmon Agathe O, Ledent Maryse, De Clercq Eva M, Vanhoutte Bram, Bouland Catherine
Environmental and Occupational Health Research Centre, School of Public Health, Université Libre de Bruxelles, Brussels, Belgium.
Department of Chemical and Physical Health Risks, Sciensano, Brussels, Belgium.
JMIR Res Protoc. 2025 Jul 3;14:e69407. doi: 10.2196/69407.
Environmental factors are responsible for 13% of annual deaths in Europe. Citizens are constantly exposed to a variety of environmental factors, such as noise, air pollutants, and magnetic fields (MFs), which may interact with one another. To study multiple-pollutant exposures simultaneously, data on individual citizens, collected using portable measuring devices, provide a high level of detail for exposure characterization.
The aims of this study are to (1) assess the exposure of urban citizens to multiple pollutants (noise, particulate matter [PM], and extremely low-frequency magnetic fields [ELF-MFs]) on a normal weekday, (2) estimate the contribution of each main daily life microenvironment in the multiple-pollutant exposure, and (3) estimate the role of measured exposure in the assessment of perceived personal exposure.
We collected the exposure levels of 490 individuals to multiple pollutants: PM, ELF-MFs, and noise levels. We used 3 devices per participant (Airbeam 2, EMDEX II or EMDEX Lite, and a smartphone with the Aircasting app for PM, ELF-MFs, and noise, respectively). Participants wore them for 24 hours on a normal weekday. In parallel, they filled out a microenvironment diary and a questionnaire focusing on socioeconomic data, lifestyle, and perceived exposures. The analysis will first describe the exposures as daily averages and aggregated by microenvironment. Several analyses will be conducted: (1) an estimation of the contribution of each microenvironment in the exposure levels of the 3 pollutants studied, (2) a linear mixed model (for each pollutant) to explain the measured levels of exposure, and (3) linear regression to assess the contribution of the measured personal exposure in self-reported perceived exposures.
Data collection was carried out from October 2020 to August 2022, with 490 individuals taking part. The databases have been gathered and cleaned. Future work will focus on data analysis.
The collected data will allow us to describe the daily multiple-pollutant exposures faced by individuals within the general population and to characterize the main microenvironments of their daily lives according to multiple-pollutant exposures. This will help identify precise microenvironments to be targeted in policies aiming to reduce exposure to pollution. Because the sampling method is not probabilistic, it is not expected to be representative of the population of the Brussels Capital Region, but it will provide a first step in the understanding of multiple-pollutant exposures faced by individual citizens.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/69407.
在欧洲,环境因素导致的年死亡人数占比达13%。公民不断暴露于各种环境因素中,如噪音、空气污染物和磁场(MFs),这些因素可能相互作用。为了同时研究多种污染物暴露情况,使用便携式测量设备收集的个体公民数据为暴露特征描述提供了高度详细的信息。
本研究的目的是:(1)评估城市居民在正常工作日接触多种污染物(噪音、颗粒物[PM]和极低频磁场[ELF-MFs])的情况;(2)估计每个主要日常生活微环境在多种污染物暴露中的贡献;(3)估计测量暴露在感知个人暴露评估中的作用。
我们收集了490名个体接触多种污染物的暴露水平:PM、ELF-MFs和噪音水平。每位参与者使用3种设备(分别为Airbeam 2、EMDEX II或EMDEX Lite以及安装了Aircasting应用程序的智能手机,用于测量PM、ELF-MFs和噪音)。参与者在正常工作日佩戴这些设备24小时。同时,他们填写了一份微环境日记和一份关注社会经济数据、生活方式和感知暴露的问卷。分析将首先将暴露描述为每日平均值,并按微环境进行汇总。将进行多项分析:(1)估计每个微环境在研究的3种污染物暴露水平中的贡献;(2)使用线性混合模型(针对每种污染物)解释测量的暴露水平;(3)进行线性回归以评估测量的个人暴露在自我报告的感知暴露中的贡献。
数据收集于2020年10月至2022年8月进行,共有490人参与。数据库已收集并清理。未来的工作将集中在数据分析上。
收集到的数据将使我们能够描述普通人群中个体面临的每日多种污染物暴露情况,并根据多种污染物暴露情况描述其日常生活的主要微环境。这将有助于确定旨在减少污染暴露的政策中应针对的精确微环境。由于抽样方法并非概率抽样,预计该样本不能代表布鲁塞尔首都地区的人口,但它将为了解个体公民面临的多种污染物暴露提供第一步。
国际注册报告标识符(IRRID):DERR1-10.2196/69407。