TY - JOUR
T1 - The Association Between PM 2.5 and Ozone and the Prevalence of Diabetes Mellitus in the United States, 2002 to 2008
AU - Hernandez, Ashley M.
AU - Gimeno Ruiz De Porras, David
AU - Marko, Dritana
AU - Whitworth, Kristina W.
N1 - Publisher Copyright:
Copyright © 2018 American College of Occupational and Environmental Medicine.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - Objective: To examine the association between air pollution and diabetes prevalence in the United States, 2002 to 2008. Methods: Annual average particulate matter (PM 2.5) and ozone concentrations were calculated using daily county-level data from the CDC's Tracking Network. Individual-level outcome and covariate data were obtained from the Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor Surveillance System for 862,519 individuals. We used Poisson regression analyses to examine associations between each air pollutant (per 10-unit increase) with diabetes, including regional sub-analyses. Analyses were adjusted for year, age, sex, race, ethnicity, education, income, smoking status, body mass index, exercise, and asthma. Results: Positive associations between each pollutant and diabetes were found (PM 2.5: prevalence ratio [PR] = 1.10; 95% confidence interval [CI] = 1.03, 1.17; ozone: PR = 1.06; 95% CI = 1.03, 1.09). There was limited evidence of effect modification by region. Conclusions: Interventions to reduce ambient air pollution may help alleviate the diabetes burden in the US.
AB - Objective: To examine the association between air pollution and diabetes prevalence in the United States, 2002 to 2008. Methods: Annual average particulate matter (PM 2.5) and ozone concentrations were calculated using daily county-level data from the CDC's Tracking Network. Individual-level outcome and covariate data were obtained from the Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor Surveillance System for 862,519 individuals. We used Poisson regression analyses to examine associations between each air pollutant (per 10-unit increase) with diabetes, including regional sub-analyses. Analyses were adjusted for year, age, sex, race, ethnicity, education, income, smoking status, body mass index, exercise, and asthma. Results: Positive associations between each pollutant and diabetes were found (PM 2.5: prevalence ratio [PR] = 1.10; 95% confidence interval [CI] = 1.03, 1.17; ozone: PR = 1.06; 95% CI = 1.03, 1.09). There was limited evidence of effect modification by region. Conclusions: Interventions to reduce ambient air pollution may help alleviate the diabetes burden in the US.
KW - air pollution
KW - diabetes
KW - ozone
KW - particulate matter
UR - http://www.scopus.com/inward/record.url?scp=85050226260&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050226260&partnerID=8YFLogxK
U2 - 10.1097/JOM.0000000000001332
DO - 10.1097/JOM.0000000000001332
M3 - Article
C2 - 29634612
AN - SCOPUS:85050226260
SN - 1076-2752
VL - 60
SP - 594
EP - 602
JO - Journal of occupational and environmental medicine
JF - Journal of occupational and environmental medicine
IS - 7
ER -