The DOI matches its Crossref record.
Air Pollution and Hospital Admissions for the Elderly in Birmingham, Alabama
Abstract
Several studies have reported associations between airborne particles and/or ozone and hospital admissions for respiratory disease. This study examined whether such an association could be seen in Birmingham, Alabama, one of the few cities in the United States with daily monitoring of inhalable particles. Daily counts of hospital admissions were computed by date of admission from Medicare records for pneumonia and chronic obstructive pulmonary disease for the years 1986-1989. Classification was by discharge diagnosis. The daily average of ozone and particulate matter with an aerodiameter of < or = 10 microns (PM10) from all monitoring stations in Birmingham was computed. Approximately six admissions for pneumonia and two for chronic obstructive pulmonary disease were observed each day. In Poisson regression analysis controlling for time trends, seasonal fluctuations, and weather, inhalable particles were a risk factor for admission for pneumonia (for an increase of 100 micrograms/m3 in daily concentration, relative risk (RR) = 1.19, 95% confidence interval (CI) 1.07-1.32) and chronic obstructive pulmonary disease (RR = 1.27, 95% CI 1.08-1.50). The results were not sensitive to alternative methods for controlling for seasonal patterns and weather, nor to the exclusion of very hot or cold days. Ozone was more weakly associated with admissions for pneumonia, with a 2-day lag (RR = 1.14, 95% CI 0.94-1.38), and for chronic obstructive pulmonary disease, with a 1-day lag (RR = 1.17, 95% CI 0.86-1.60). The risks are for an increase in ozone exposure of 50 parts per billion. Tests for nonlinearity in the relation between inhalable particles and admissions were not significant, and nonparametric smoothing found no evidence of a threshold in the relation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Is Daily Mortality Associated Specifically with Fine Particles?
Schwartz, J., Dockery, D. W., & Neas, L. M. (1996) · Journal of the Air & Waste Management Association · doi:10.1080/10473289.1996.10467528 · Cited by 1,561
Self-citationReview of Epidemiological Evidence of Health Effects of Particulate Air Pollution
Pope, C. A., Dockery, D. W., & Schwartz, J. (1995) · Inhalation Toxicology · doi:10.3109/08958379509014267 · Cited by 833
Self-citationShort term variations in hospital admissions and mortality and particulate air pollution.
Wordley, J., Walters, S., & Ayres, J. G. (1997) · Occupational and Environmental Medicine · doi:10.1136/oem.54.2.108 · Cited by 286
Major air pollutants and risk of COPD exacerbations: a systematic review and meta-analysis
Li, J., Sun, S., Tang, R., Qiu, H., Huang, Q., Mason, T., & Tian, L. (2016) · International Journal of Chronic Obstructive Pulmonary Disease · doi:10.2147/copd.s122282 · Cited by 283
Air pollution and emergency admissions in Boston, MA
Zanobetti, A., & Schwartz, J. (2006) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2005.039834 · Cited by 263
Self-citation
Metadata
- Authors
- Schwartz, J.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1994-03-15
- Volume
- 139
- Issue
- 6
- Pages
- 589-598
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W1950225563
- Cited by
- 266
- References
- 0
- FWCI
- 12.83
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Air Pollution and Hospital Admissions for the Elderly in Birmingham, Alabama. https://app.cochat.ai/papers/10.1093/oxfordjournals.aje.a117048
- The paper
- Schwartz, J. (1994). Air Pollution and Hospital Admissions for the Elderly in Birmingham, Alabama. American Journal of Epidemiology. https://doi.org/10.1093/oxfordjournals.aje.a117048
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.