Journal article
Air Pollution Metric Analysis While Determining Susceptible Periods of Pregnancy for Low Birth Weight
ISRN Obstetrics and Gynecology, Vol.2013, 387452
01/30/2013
DOI: 10.1155/2013/387452
PMCID: PMC3572693
PMID: 23431464
Abstract
Multiple metrics to characterize air pollution are available for use in environmental health analyses in addition to the standard Air Quality System (AQS) pollution monitoring data. These metrics have complete spatial-temporal coverage across a domain and are therefore crucial in calculating pollution exposures in geographic areas where AQS monitors are not present. We investigate the impact that two of these metrics, output from a deterministic chemistry model (CMAQ) and from a spatial-temporal downscaler statistical model which combines information from AQS and CMAQ (DS), have on risk assessment. Using each metric, we analyze ambient ozone's effect on low birth weight utilizing a Bayesian temporal probit regression model. Weekly windows of susceptibility are identified and analyzed jointly for all births in a subdomain of Texas, 2001–2004, and results from the different pollution metrics are compared. Increased exposures during weeks 20–23 of the pregnancy are identified as being associated with low birth weight by the DS metric. Use of the CMAQ output alone results in increased variability of the final risk assessment estimates, while calibrating the CMAQ through use of the DS metric provides results more closely resembling those of the AQS. The AQS data are still preferred when available.
Details
- Title: Subtitle
- Air Pollution Metric Analysis While Determining Susceptible Periods of Pregnancy for Low Birth Weight
- Creators
- Joshua L. WarrenMontserrat Fuentes - North Carolina State UniversityAmy H HerringPeter H. Langlois
- Resource Type
- Journal article
- Publication Details
- ISRN Obstetrics and Gynecology, Vol.2013, 387452
- Publisher
- ISRN Obstetrics and Gynecology
- DOI
- 10.1155/2013/387452
- PMID
- 23431464
- PMCID
- PMC3572693
- ISSN
- 2090-4444
- eISSN
- 2090-4444
- Grant note
- P30 ES010126/ES/NIEHS NIH HHS/United States T32 ES007018/ES/NIEHS NIH HHS/United States R01 ES020619/ES/NIEHS NIH HHS/United States R01 ES014843/ES/NIEHS NIH HHS/United States R24 HD050924/HD/NICHD NIH HHS/United States
- Date published
- 01/30/2013
- Academic Unit
- Statistics and Actuarial Science; Biostatistics; Provost Office Administration
- Record Identifier
- 9983763482302771
Metrics
26 Record Views