School children’s exposure to indoor fine particulate matter
Bibliographic Data
| ID | 15545787 |
|---|---|
| Authors | Nathan Cooper (0000-0001-8574-7944, Australian Research Council, corresponding author), Donna Green (0000-0003-4521-8735, Australian Research Council), Yuming Guo (0000-0002-2351-4456, Monash University), Sotiris Vardoulakis (0000-0003-3944-7128, Australian National University) |
| Year | 2020 |
| Volume | 15 |
| Issue | 11 |
| Pages | 115003-115003 |
| Publication date | 2020-09-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/abbafe |
| OpenAlex | W3088213841 |
| Language | EN |
| Citations received | 1 |
| References cited | 74 |
Assessing the exposure of children to indoor fine particulate matter (PM 2.5 ) is important because children spend about one third of their day inside early learning microenvironments. Children are more vulnerable to air pollution due to a number of physiological reasons and, therefore, it is crucial to explore the factors that affect indoor (and outdoor) PM 2.5 levels in these locations to determine appropriate measures to reduce children's exposure to air pollution. To provide health policy guidance about how to reduce indoor air pollution in schools, this study systematically reviewed the associations between environmental factors and classroom characteristics with indoor PM 2.5 concentrations or indoor/outdoor (I/O) PM 2.5 in early learning microenvironments using a PRISMA framework. The systematic literature search reviewed studies that: monitored indoor PM 2.5 levels in at least one early learning microenvironment; measured outdoor PM 2.5 levels; and, analysed the influence of relevant factors on PM 2.5 concentrations or I/O relationships. From an initial search of 1282 results, 66 studies were included in the final review. Overall, these studies showed a lack of robust statistical analyses being performed, inconsistent application of methodological approaches and considerable variation in results. Consequently, these studies demonstrated weak evidence of significant and consistent associations between seasonal, meteorological, activity-based, site-based and ventilation rate variables with indoor PM 2.5 concentrations. Further large-scale and statistically robust analyses are needed to accurately quantify these associations, with particular attention needed as to how associations between influential variables and indoor PM 2.5 concentrations or I/O relationships change with seasonal and other factors, and whether these associations vary spatially. Once identified, these factors and relationships could be used to inform policy decisions that would enable better protection of the health of children in early learning microenvironments from chronic and acute exposure to air pollution
Air pollution · Atmospheric sciences · Environmental health · Exposure assessment · Geography · Indoor air · Indoor air quality · Meteorology · Particulates · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Environmental Science · Medicine · Noise Effects and Management · Ecology · Environmental Engineering · Pollution
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |