Work

Evaluation of the impact of indoor air filtration on particulate matter exposures and measures of cardiovascular health: a randomized crossover pilot study

Year: 2019

Type: article

Abstract: TPS 901: Indoor air pollution, Exhibition Hall, Ground floor, August 28, 2019, 3:00 PM - 4:30 PM The “auto-mode” feature of the recent models of air cleaner, which uses a built-in particulate matter (PM) sensor to control the operation of the air cleaner has become a novel way chosen by people to lower the indoor air pollution level, since it does not depend on users turning on the air cleaner when they perceive the air is polluted. We are unaware of any evaluations of the effectiveness of auto-mode air cleaners on reduced fine particulate matter (PM2.5) exposures and improved health effects. This randomized, 3-way crossover intervention study aims to assess the effectiveness of high-efficiency particulate arresting (HEPA) filtration air cleaners under different operating scenario on reducing indoor PM2.5 level and improving cardiovascular health, which defined as blood pressure improvements among non-smoking, healthy adult participants in an urban United States location. Six subjects in Seattle, Washington were enrolled and were exposed to the following three 1-week scenarios separated by 2-week washout periods: unfiltered air (sham filtration), auto-mode filtration and continuous filtration using HEPA filtration systems in the living room of their residences. Indoor PM2.5 level was measured in each subject’s residence by a pre-calibrated, low-cost real-time PM sensor and coupled with a time-activity diary to estimate the PM2.5 exposure of each subject. Daily self-measured blood pressure was taken by each subject over each 1-week air filtration scenario. Linear mixed-effects models will be constructed to assess whether auto-mode filtration and continuous filtration will result in cardiovascular outcome statistically better than the sham filtration. This submission will present the results of the analysis of linear mixed-effects models, discuss the method of exposure assessment and the exposure metric utilized in the analysis.

Source: Environmental Epidemiology

DOI: 10.1097/01.ee9.0000607628.34393.48

Authors: Huang C, Xiang J, Austin E, Shirai J, Seto E

Institution: University of Washington

Language: English

Topic: Indoor Air Quality and Microbial Exposure

Subfield: Health, Toxicology and Mutagenesis

Field: Environmental Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,200