Graham H Bevan1, Darcy A Freedman2, Eun Kyung Lee3, Sanjay Rajagopalan4, Sadeer G Al-Kindi5. 1. Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland OH; School of Medicine, Case Western Reserve University, Cleveland, OH. 2. School of Medicine, Case Western Reserve University, Cleveland, OH; Mary Ann Swetland Center for Environmental Health, Case Western Reserve University, Cleveland, OH. 3. Mary Ann Swetland Center for Environmental Health, Case Western Reserve University, Cleveland, OH. 4. Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland OH; School of Medicine, Case Western Reserve University, Cleveland, OH; Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH; Cardiovascular Research Institute, Case Western Reserve University, Cleveland, OH. 5. School of Medicine, Case Western Reserve University, Cleveland, OH; Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH. Electronic address: sadeer.alkindi@uhhospital.org.
Abstract
BACKGROUND: Air pollution and socioeconomic status have both been strongly associated with cardiovascular (CV) outcomes. We sought to determine if socioeconomic status modifies the risk association between fine particulate matter air pollution (PM2.5) and CV mortality. METHODS: We linked county-level age-adjusted CV mortality data from Multiple Cause of Death files (2000-2016, ICD10: I00-I99) with 2015 Social Deprivation Index (SDI), a validated estimate of socioeconomic status, and modelled spatial and temporal mean annual PM2.5 exposures (2012-2018). Higher SDI suggests greater deprivation and lower socioeconomic status. Associations between PM2.5 and age adjusted CV mortality were estimated using linear models. RESULTS: A total of 5,769,315 cardiovascular deaths from 2012-2018 across 3106 United States counties were analyzed. Both PM2.5 (β (SE) 7.584 (0.938), P < .001) and SDI scores (β (SE) 0.591 (0.140), P < .001) were independently associated with age-adjusted CV mortality (R2 = 0.341). The association between PM2.5 and CV mortality were stronger among counties with highest SDI, P value for interaction = .012. CONCLUSION: Social deprivation and PM2.5 exposures were independently associated with county level age-adjusted CV mortality. The associations between PM2.5 and CV mortality were stronger in counties with high vs low social deprivation. SDI and PM2.5 represent potential targets to reduce CV mortality disparities and interventions to reduce PM2.5 exposure may be most impactful in communities of low socioeconomic status.
BACKGROUND: Air pollution and socioeconomic status have both been strongly associated with cardiovascular (CV) outcomes. We sought to determine if socioeconomic status modifies the risk association between fine particulate matter air pollution (PM2.5) and CV mortality. METHODS: We linked county-level age-adjusted CV mortality data from Multiple Cause of Death files (2000-2016, ICD10: I00-I99) with 2015 Social Deprivation Index (SDI), a validated estimate of socioeconomic status, and modelled spatial and temporal mean annual PM2.5 exposures (2012-2018). Higher SDI suggests greater deprivation and lower socioeconomic status. Associations between PM2.5 and age adjusted CV mortality were estimated using linear models. RESULTS: A total of 5,769,315 cardiovascular deaths from 2012-2018 across 3106 United States counties were analyzed. Both PM2.5 (β (SE) 7.584 (0.938), P < .001) and SDI scores (β (SE) 0.591 (0.140), P < .001) were independently associated with age-adjusted CV mortality (R2 = 0.341). The association between PM2.5 and CV mortality were stronger among counties with highest SDI, P value for interaction = .012. CONCLUSION: Social deprivation and PM2.5 exposures were independently associated with county level age-adjusted CV mortality. The associations between PM2.5 and CV mortality were stronger in counties with high vs low social deprivation. SDI and PM2.5 represent potential targets to reduce CV mortality disparities and interventions to reduce PM2.5 exposure may be most impactful in communities of low socioeconomic status.