Xydi Irini, Saharidis Georgios, Kalantzis Georgios, Pantazopoulos Ioannis, Gourgoulianis Konstantinos I, Kotsiou Ourania S
Department of Respiratory Medicine, Faculty of Medicine, University of Thessaly, 41110 Larissa, Greece.
Department of Mechanical Engineering, University of Thessaly, 38334 Volos, Greece.
J Pers Med. 2024 Aug 6;14(8):833. doi: 10.3390/jpm14080833.
Ambient air pollution's health impacts are well documented, yet the domestic environment remains underexplored. We aimed to compare indoor versus outdoor (I/O) air quality and estimate the association between indoor/ambient fine particulate matter (PM) exposure and lung function in asthma and chronic obstructive pulmonary disease (COPD) patients. The study involved 24 h monitoring of PM levels indoors and outdoors, daily peak expiratory flow (PEF), and biweekly symptoms collection from five patients with asthma and COPD (average age of 50 years, 40% male) over a whole year. Data analysis was performed with linear mixed effect models for PEF and generalized estimating equations (GEE) for exacerbations. More than 5 million PM exposure and meteorological data were collected, demonstrating significant I/O PM ratio variability with an average ratio of 2.20 (±2.10). Identified indoor PM sources included tobacco use, open fireplaces, and cooking, resulting in average indoor PM concentrations of 63.89 μg/m (±68.41), significantly exceeding revised World Health Organization (WHO) guidelines. Analysis indicated a correlation between ambient PM levels and decreased PEF over 0-to-3-day lag, with autumn indoor exposure significantly impacting PEF and wheezing. The study underscores the need to incorporate domestic air quality into public health research and policy-making. A personalized approach is required depending on the living conditions, taking into account the exposure to particulate pollution.
环境空气污染对健康的影响已有充分记录,但室内环境仍未得到充分探索。我们旨在比较室内与室外(I/O)空气质量,并估计哮喘和慢性阻塞性肺疾病(COPD)患者的室内/环境细颗粒物(PM)暴露与肺功能之间的关联。该研究包括对五名哮喘和COPD患者(平均年龄50岁,40%为男性)进行一整年的室内外PM水平24小时监测、每日呼气峰值流速(PEF)以及每两周症状收集。对PEF采用线性混合效应模型进行数据分析,对病情加重采用广义估计方程(GEE)进行分析。收集了超过500万条PM暴露和气象数据,结果显示I/O PM比值存在显著差异,平均比值为2.20(±2.10)。确定的室内PM来源包括吸烟、开放式壁炉和烹饪,导致室内PM平均浓度为63.89μg/m(±68.41),显著超过世界卫生组织(WHO)修订后的指南。分析表明,环境PM水平与0至3天滞后的PEF下降之间存在相关性,秋季室内暴露对PEF和喘息有显著影响。该研究强调需要将室内空气质量纳入公共卫生研究和政策制定中。需要根据生活条件采取个性化方法,同时考虑颗粒物污染暴露情况。