ArticleInternational journal of environmental research and public health2010
Exploring variation and predictors of residential fine particulate matter infiltration.
Article in International journal of environmental research and public health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Controls on Indoor Ammonia in New Canadian Homes during the First Year of Occupancy with Reduced Nitrogen Case Studies.ACS ES&T air · 2026Article
- Global disparities in indoor wildfire-PMScience advances · 2025Article
- Practical considerations for using low-cost sensors to assess wildfire smoke exposure in school and childcare settings.Journal of exposure science & environmental epidemiology · 2025Article
- High levels of indoor fine particulate matter during the cold season in Almaty prompt urgent public health action.PloS one · 2023Article
- Elevated blood lead and metal/metalloid levels and environmental exposure sources in urban Ecuadorian school-age children and mothers.International journal of hygiene and environmental health · 2021Article
- Development of Hourly Indoor PMInternational journal of environmental research and public health · 2020Article
- Seasonal Characteristics and Particle-size Distributions of Particulate Air Pollutants in Urumqi.International journal of environmental research and public health · 2019Article
- Source Apportionment and Influencing Factor Analysis of Residential Indoor PMInternational journal of environmental research and public health · 2018Article
- Estimation of bias with the single-zone assumption in measurement of residential air exchange using the perfluorocarbon tracer gas method.Indoor air · 2015Article
- Perinatal Exposure to Traffic-Related Air Pollution and Atopy at 1 Year of Age in a Multi-Center Canadian Birth Cohort Study.Environmental health perspectives · 2015Article
- Evaluating the Long-Term Health and Economic Impacts of Central Residential Air Filtration for Reducing Premature Mortality Associated with Indoor Fine Particulate Matter (PM2.5) of Outdoor Origin.International journal of environmental research and public health · 2015Article
- A new exposure metric for traffic-related air pollution? An analysis of determinants of hopanes in settled indoor house dust.Environmental health : a global access science source · 2013Article
- Indoor air pollution and respiratory health of children in the developing world.World journal of clinical pediatrics · 2013Review
- Modeling the residential infiltration of outdoor PM(2.5) in the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air).Environmental health perspectives · 2012Article
- A retrospective cohort study of stroke onset: implications for characterizing short term effects from ambient air pollution.Environmental health : a global access science source · 2011Article
- Indoor and outdoor measurements of particle number concentration in near-highway homes.Journal of exposure science & environmental epidemiologyArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although individuals spend the majority of their time indoors, most epidemiological studies estimate personal air pollution exposures based on outdoor levels. This almost certainly results in exposure misclassification as pollutant infiltration varies between homes. However, it is often not possible to collect detailed measures of infiltration for individual homes in large-scale epidemiological studies and thus there is currently a need to develop models that can be used to predict these values. To address this need, we examined infiltration of fine particulate matter (PM(2.5)) and identified determinants of infiltration for 46 residential homes in Toronto, Canada. Infiltration was estimated using the indoor/outdoor sulphur ratio and information on hypothesized predictors of infiltration were collected using questionnaires and publicly available databases. Multiple linear regression was used to develop the models. Mean infiltration was 0.52 ± 0.21 with no significant difference across heating and non-heating seasons. Predictors of infiltration were air exchange, presence of central air conditioning, and forced air heating. These variables accounted for 38% of the variability in infiltration. Without air exchange, the model accounted for 26% of the variability. Effective modelling of infiltration in individual homes remains difficult, although key variables such as use of central air conditioning show potential as an easily attainable indicator of infiltration.
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Registered trials
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