Ashley M Hernandez1, David Gimeno Ruiz de Porras, Dritana Marko, Kristina W Whitworth. 1. Department of Epidemiology Human Genetics and Environmental Sciences, UTHealth School of Public Health in San Antonio, San Antonio (Ms Hernandez, Dr Gimeno Ruiz de Porras, Dr Whitworth); Southwest Center for Occupational and Environmental Health (SWCOEH) (Dr Gimeno Ruiz de Porras, Dr Whitworth); Center for Research in Occupational Health (CISAL), Universitat Pompeu Fabra, Barcelona (Dr Gimeno Ruiz de Porras); Centro de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP) (Dr Gimeno Ruiz de Porras), Spain; Department of Management, Policy and Community Health (Dr Marko); Institute for Health Policy, UTHealth School of Public Health (Dr Marko), Houston, Texas.
Abstract
OBJECTIVE: To examine the association between air pollution and diabetes prevalence in the United States, 2002 to 2008. METHODS: Annual average particulate matter (PM2.5) 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 (PM2.5: 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.
OBJECTIVE: To examine the association between air pollution and diabetes prevalence in the United States, 2002 to 2008. METHODS: Annual average particulate matter (PM2.5) 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 (PM2.5: 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.
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