Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.
Department of Public Health and Informatics, Jahangirnagar University, Dhaka 1342, Bangladesh.
Int J Environ Res Public Health. 2022 Jan 5;19(1):565. doi: 10.3390/ijerph19010565.
Exposure surrogates, such as air quality measured at a fixed-site monitor (FSM) or residence, are typically used for health estimates. However, people spend various amounts of time in different microenvironments, including the home, office, outdoors and in transit, where they are exposed to different magnitudes of particle and gaseous air pollutants. Health risks caused by air pollution exposure differ among individuals due to differences in activity, microenvironmental concentration, as well as the toxicity of pollutants. We evaluated individual and combined added health risks (AR) of exposure to PM, NO and O for 21 participants in their daily life based on real-world personal exposure measurements. Exposure errors from using surrogates were quantified. Inter- and intra-individual variability in health risks and key contributors in variations were investigated using linear mixed-effects models and correlation analysis, respectively. Substantial errors were found between personal exposure concentrations and ambient concentrations when using air quality measurements at either FSM or the residence location. The mean exposure errors based on the measurements taken at either the FSM or residence as exposure surrogates was higher for NO than PM, because of the larger spatial variability in NO concentrations in urban areas. The daily time-integrated AR for the combined PM, NO, and O (TIAR) ranged by a factor of 2.5 among participants and by a factor up to 2.5 for a given person across measured days. Inter- and intra-individual variability in TIAR is almost equally important. Several factors were identified to be significantly correlated with daily TIAR, with the top five factors, including PM, NO and O concentrations at 'home indoor', O concentrations at 'office indoor' and ambient PM concentrations. The results on the contributors of variability in the daily TIAR could help in targeting interventions to reduce daily health damage related to air pollutants.
暴露替代物,例如在固定监测站(FSM)或居住地测量的空气质量,通常用于健康估计。然而,人们在不同的微环境中花费不同的时间,包括家庭、办公室、户外和交通中,在这些地方他们会接触到不同程度的颗粒物和气态空气污染物。由于活动、微环境浓度以及污染物的毒性不同,空气污染暴露对不同个体造成的健康风险也不同。我们根据实际的个人暴露测量,评估了 21 名参与者日常生活中的 PM、NO 和 O 暴露的个体和综合附加健康风险(AR)。量化了使用替代物的暴露误差。使用线性混合效应模型和相关分析分别研究了个体和个体内健康风险的变异性以及变异性的主要贡献者。当使用 FSM 或居住地点的空气质量测量值作为替代物时,个人暴露浓度与环境浓度之间存在很大的误差。由于城市地区 NO 浓度的空间变异性较大,基于 FSM 或居住地点测量值作为暴露替代物的平均暴露误差对于 NO 比 PM 更高。综合 PM、NO 和 O(TIAR)的日综合附加 AR 因参与者而异,在给定的人在测量日之间的范围可高达 2.5 倍。个体内和个体间的 TIAR 变异性几乎同样重要。确定了几个与每日 TIAR 显著相关的因素,其中五个最重要的因素包括“家庭室内”的 PM、NO 和 O 浓度、“办公室室内”的 O 浓度和环境 PM 浓度。关于每日 TIAR 变异性的贡献因素的结果可以帮助针对干预措施,以减少与空气污染物相关的每日健康损害。