The Effects of Ambient Air Pollution on School Absenteeism Due to Respiratory Illnesses
Abstract
We investigated the relations between ozone (O3), nitrogen dioxide (NO2), and respirable particles less than 10 microm in diameter (PM10) and school absenteeism in a cohort of 4th-grade school children who resided in 12 southern California communities. An active surveillance system ascertained the numbers and types of absences during the first 6 months of 1996. Pollutants were measured hourly at central-site monitors in each of the 12 communities. To examine acute effects of air pollution on absence rates, we fitted a two-stage time-series model to the absence count data that included distributed lag effects of exposure adjusted for long-term pollutant levels. Short-term change in O3, but not NO2 or PM10, was associated with a substantial increase in school absences from both upper and lower respiratory illness. An increase of 20 ppb of O3 was associated with an increase of 62.9% [95% confidence interval (95% CI) = 18.4-124.1%] for illness-related absence rates, 82.9% (95% CI = 3.9-222.0%) for respiratory illnesses, 45.1% (95% CI = 21.3-73.7%) for upper respiratory illnesses, and 173.9% (95% CI = 91.3-292.3%) for lower respiratory illnesses with wet cough. The short-term effects of a 20-ppb change of O3 on illness-related absenteeism were larger in communities with lower long-term average PM10 [223.5% (95% CI = 90.4-449.7)] compared with communities with high average levels [38.1% (95% CI = 8.5-75.8)]. Increased school absenteeism from O3 exposure in children is an important…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Failure to prevent or respond promptly to indoor air quality problems can impact teacher and student attendance, comfort and performance.
“Failure to prevent or respond promptly to indoor air quality (IAQ) problems can increase short-and long-term health outcomes (Norbäck et al., 2000;Simoni et al., 2006;Tillet, 2010;Simoni et al., 2010), impact both teacher and student's attendance, comfort and performance (Gilliland et al., 2001;Shaughnessy et al., 2006;Mohai et al., 2011), and accelerate the deterioration of school buildings and”
From Comfort Parameters and Particulate Matter (PM10 and PM2.5) in School Classrooms and Outdoor Air (2013) · cites this paper as Gilliland et al., 2001
Cited by
Sorted by citations
Mendell, M. J., & Heath, G. A. (2005) · Indoor Air · doi:10.1111/j.1600-0668.2004.00320.x · Cited by 1,034 · see citing works
Malig, B. J., Pearson, D. L., Chang, Y. B., Broadwin, R., Basu, R., Green, R. S., & Ostro, B. (2016) · Environmental Health Perspectives · doi:10.1289/ehp.1409495 · Cited by 103 · see citing works
Comfort Parameters and Particulate Matter (PM10 and PM2.5) in School Classrooms and Outdoor Air
Alves, C., Nunes, T., Silva, J., & Duarte, M. (2013) · Aerosol and Air Quality Research · doi:10.4209/aaqr.2012.11.0321 · Cited by 88 · see citing works
“…et al. , 2000; Simoni et al. , 2006; Tillet, 2010; Simoni et al. , 2010), impact both teacher and student’s attendance, comfort and performance (Gilliland et al. , 2001; Shaughnessy et al. , 2006; Mohai et al. , 2011), and accelerate the deterioration of school buildings and equipments…”
More effective home heating reduces school absences for children with asthma
Free, S., Howden-Chapman, P., Pierse, N., Viggers, H., & the Housing, H. A. H. S. R. T. (2010) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2008.086520 · Cited by 80 · see citing works
- Authors
- Gilliland, F. D., Berhane, K., Rappaport, E. B., Thomas, D. C., Avol, E., Gauderman, W. J., London, S. J., Margolis, H. G., McConnell, R., Islam, K. T., & Peters, J. M.
- Affiliations
- University of Southern California (US)
- National Institutes of Health (US)
- California Air Resources Board (US)
- Corresponding author
- Gilliland, Frank D.
- ORCID
- Venue
- Epidemiology
- Published
- 2001-01
- Volume
- 12
- Issue
- 1
- Pages
- 43-54
- ISSN
- 1044-3983 (ISSN-L)
- OpenAlex
- W2037422858
- Cited by
- 266
- References
- 0
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 8 · 2023: 7 · 2022: 11 · 2021: 18 · 2020: 19 · 2019: 13 · 2018: 11 · 2017: 11 · 2016: 10 · 2015: 9 · 2014: 7 · 2013: 8 · 2012: 14
- FWCI
- 9.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01HL061768, 1R01HL61768)
- National Institute of Environmental Health Sciences (5 P30 ES07048-02, 5ES09581-01, P30ES007048)
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
- Health Sciences › Medicine › Physiology › Asthma and respiratory diseases
- Keywords
- ambient air pollution, school absenteeism, respiratory diseases, ozone, nitrogen dioxide, PM10, children, upper respiratory illness, lower respiratory illness, wet cough, short-term exposure effects, Southern California
- MeSH terms
- Absenteeism, Air Pollutants, Air Pollution, Child, Female, Humans, Male, Nitric Oxide, Ozone, Respiratory Tract Diseases, Schools, Los Angeles, Cohort Studies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review