{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Geldsetzer P"],"funding":["NICHD NIH HHS","NIDA NIH HHS","NIAID NIH HHS","NCI NIH HHS"],"pubmed_abstract":["There are large differences in premature mortality in the USA by racial/ethnic, education, rurality, and social vulnerability index groups. Using existing concentration-response functions, particulate matter (PM<sub>2.5</sub>) air pollution, population estimates at the tract level, and county-level mortality data, we estimated the degree to which these mortality discrepancies can be attributed to differences in exposure and susceptibility to PM<sub>2.5</sub>. We show that differences in mortality attributable to PM<sub>2.5</sub> were consistently more pronounced between racial/ethnic groups than by education, rurality, or social vulnerability index, with the Black American population having by far the highest proportion of deaths attributable to PM<sub>2.5</sub> in all years from 1990 to 2016. Over half of the difference in age-adjusted all-cause mortality between the Black American and non-Hispanic White population was attributable to PM<sub>2.5</sub> in the years 2000 to 2011."],"journal":["medRxiv : the preprint server for health sciences"],"pagination":["2024.04.17.24305943"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11065005"],"repository":["biostudies-literature"],"pubmed_title":["Sociodemographic and geographic variation in mortality attributable to air pollution in the United States."],"pmcid":["PMC11065005"],"funding_grant_id":["R01 CA228147","R01 HD104835","R01 AI127250","R00 DA051534"],"pubmed_authors":["Geldsetzer P","Heft-Neal S","Kiang MV","Fridljand D","Bendavid E","Thieme AH","Burke M","Benmarhnia T"],"additional_accession":[]},"is_claimable":false,"name":"Sociodemographic and geographic variation in mortality attributable to air pollution in the United States.","description":"There are large differences in premature mortality in the USA by racial/ethnic, education, rurality, and social vulnerability index groups. Using existing concentration-response functions, particulate matter (PM<sub>2.5</sub>) air pollution, population estimates at the tract level, and county-level mortality data, we estimated the degree to which these mortality discrepancies can be attributed to differences in exposure and susceptibility to PM<sub>2.5</sub>. We show that differences in mortality attributable to PM<sub>2.5</sub> were consistently more pronounced between racial/ethnic groups than by education, rurality, or social vulnerability index, with the Black American population having by far the highest proportion of deaths attributable to PM<sub>2.5</sub> in all years from 1990 to 2016. Over half of the difference in age-adjusted all-cause mortality between the Black American and non-Hispanic White population was attributable to PM<sub>2.5</sub> in the years 2000 to 2011.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Apr","modification":"2026-04-08T18:50:14.212Z","creation":"2026-04-08T10:46:51.904Z"},"accession":"S-EPMC11065005","cross_references":{"pubmed":["38699349"],"doi":["10.1101/2024.04.17.24305943"]}}