The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Coarse Particulate Matter Air Pollution and Hospital Admissions for Cardiovascular and Respiratory Diseases Among Medicare Patients
Open accessAbstract
CONTEXT: Health risks of fine particulate matter of 2.5 microm or less in aerodynamic diameter (PM2.5) have been studied extensively over the last decade. Evidence concerning the health risks of the coarse fraction of greater than 2.5 microm and 10 microm or less in aerodynamic diameter (PM10-2.5) is limited. OBJECTIVE: To estimate risk of hospital admissions for cardiovascular and respiratory diseases associated with PM10-2.5 exposure, controlling for PM2.5. DESIGN, SETTING, AND PARTICIPANTS: Using a database assembled for 108 US counties with daily cardiovascular and respiratory disease admission rates, temperature and dew-point temperature, and PM10-2.5 and PM2.5 concentrations were calculated with monitoring data as an exposure surrogate from January 1, 1999, through December 31, 2005. Admission rates were constructed from the Medicare National Claims History Files, for a study population of approximately 12 million Medicare enrollees living on average 9 miles (14.4 km) from collocated pairs of PM10 and PM2.5 monitors. MAIN OUTCOME MEASURES: Daily counts of county-wide emergency hospital admissions for primary diagnoses of cardiovascular or respiratory disease. RESULTS: There were 3.7 million cardiovascular disease and 1.4 million respiratory disease admissions. A 10-microg/m3 increase in PM10-2.5 was associated with a 0.36% (95% posterior interval [PI], 0.05% to 0.68%) increase in cardiovascular disease admissions on the same day. However, when adjusted for PM2.5, the association was no longer statistically significant (0.25%; 95% PI, -0.11% to 0.60%). A 10-microg/m3 increase in PM10-2.5 was associated with a nonstatistically significant unadjusted 0.33% (95% PI, -0.21% to 0.86%) increase in respiratory disease admissions and with a 0.26% (95% PI, -0.32% to 0.84%) increase in respiratory disease admissions when adjusted for PM2.5. The unadjusted associations of PM2.5 with cardiovascular and respiratory disease admissions were 0.71% (95% PI, 0.45%-0.96%) for same-day exposure and 0.44% (95% PI, 0.06% to 0.82%) for exposure 2 days before hospital admission. CONCLUSION: After adjustment for PM2.5, there were no statistically significant associations between coarse particulates and hospital admissions for cardiovascular and respiratory diseases.
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Bayes Estimates for the Linear Model
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“Studies at individual locations with high coarse particulate matter levels have suggested that rural coarse particulate matter consisting of natural crustal materials poses a lesser health risk than urban coarse particulate matter.(27,39) In addition, limited compositional data on coarse particulate matter have indica…”
BackgroundInference for Multivariate Normal Hierarchical Models
Everson, P. J., & Morris, C. N. (2000) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00239 · Cited by 107
Cited by
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Anderson, G. B., & Bell, M. L. (2011) · Environmental Health Perspectives · doi:10.1289/ehp.1002313 · Cited by 1,191
A systematic review of the physical health impacts from non-occupational exposure to wildfire smoke
Liu, J. C., Pereira, G., Uhl, S. A., Bravo, M. A., & Bell, M. L. (2015) · Environmental Research · doi:10.1016/j.envres.2014.10.015 · Cited by 685
Amato, F., Pandolfi, M., Escrig, A., Querol, X., Alastuey, A., Pey, J., Perez, N., & Hopke, P. K. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2009.02.039 · Cited by 584
Climate change and health costs of air emissions from biofuels and gasoline
Hill, J., Polasky, S., Nelson, E., Tilman, D., Huo, H., Ludwig, L., Neumann, J., Zheng, H., & Bonta, D. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812835106 · Cited by 335
Metadata
- Authors
- Peng, R. D.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2008-05-14
- Volume
- 299
- Issue
- 18
- Pages
- 2172
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2128319896
- Cited by
- 406
- References
- 6
- FWCI
- 12.95
- Type
- journal article
- Language
- en
- Open access
- green
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