Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014

Erin Teeple, Caitlin Kuhlman, Brandon Werner, Randy Paffenroth, Randy Paffenroth, Randy Paffenroth, Elke Rundensteiner, Elke Rundensteiner

2020

Abstract

Quantifying health effects resulting from environmental exposures is a complex task. Underestimation of exposure-outcome associations may occur due to factors such as data quality, jointly distributed spectra of possible effects, and uncertainty about exposure levels. Parametric methods are commonly used in population health research because parameter estimates, rather than predictive accuracy, are useful for informing regulatory policies. This project considers complementary approaches for capturing population-level exposure-outcome associations: multiple linear regression and canonical correlation analysis (CCA). We apply these methods for the task of characterizing relationships between air quality and cause-specific mortality. We first create a national air pollution exposures-mortality outcomes data set by integrating United States Environmental Protection Agency (EPA) annual summary county-level air quality measurements for the period 1980-2014 with age-adjusted gender- and cause-specific county mortality rates from the same time period published by the Institute for Health Metrics and Evaluation (IHME). Code for data integration is made publicly available. We examine our model parameter estimates together with air quality-mortality rate associations, revealing statistically significant correlations between air quality variations and variations in cause-specific mortality which are particularly apparent when CCA is applied to our population health data set.

Paper Citation

in Harvard Style

Teeple E., Kuhlman C., Werner B., Paffenroth R. and Rundensteiner E. (2020). Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF; ISBN 978-989-758-398-8, SciTePress, pages 228-236. DOI: 10.5220/0009156702280236

in Bibtex Style

@conference{healthinf20,
author={Erin Teeple and Caitlin Kuhlman and Brandon Werner and Randy Paffenroth and Elke Rundensteiner},
title={Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF},
year={2020},
pages={228-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009156702280236},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF
TI - Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014
SN - 978-989-758-398-8
AU - Teeple E.
AU - Kuhlman C.
AU - Werner B.
AU - Paffenroth R.
AU - Rundensteiner E.
PY - 2020
SP - 228
EP - 236
DO - 10.5220/0009156702280236
PB - SciTePress