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dc.contributor.authorPifarré i Arolas, Héctor
dc.contributor.authorAcosta, Enrique
dc.contributor.authorDudel, Christian
dc.contributor.authorHale, Jo Mhairi
dc.contributor.authorMyrskylä, Mikko
dc.date.accessioned2023-03-28T15:30:07Z
dc.date.available2023-03-28T15:30:07Z
dc.date.issued2023-05-01
dc.identifier282815993
dc.identifierd29760ed-f48f-4703-a610-e1cd96be0c24
dc.identifier36863061
dc.identifier85152174293
dc.identifier.citationPifarré i Arolas , H , Acosta , E , Dudel , C , Hale , J M & Myrskylä , M 2023 , ' US racial-ethnic mortality gap adjusted for population structure ' , Epidemiology , vol. 34 , no. 3 . https://doi.org/10.1097/EDE.0000000000001595en
dc.identifier.issn1044-3983
dc.identifier.otherJisc: 961078
dc.identifier.otherJisc: 961078
dc.identifier.otherpii: 00001648-990000000-00121
dc.identifier.otherORCID: /0000-0003-1343-3879/work/132763951
dc.identifier.urihttps://hdl.handle.net/10023/27280
dc.descriptionFunding: E.A. received funding from the Social Sciences and Humanities Research Council (Canada) - Postdoctoral grant No. 756-2019-0768, and the Fonds de recherche du Québec – Société et culture - Postdoctoral grant No. 274299. Support for this research was provided to HPA by the University of Wisconsin-Madison, Office of the Vice Chancellor for Research and Graduate Education with funding from the Wisconsin Alumni Research Foundation.en
dc.description.abstractBackground U.S. racial/ethnic mortality disparities are well-documented and central to debates on social inequalities in health. Standard measures, like life expectancy or years of life lost, are based on synthetic populations and do not account for the real underlying populations experiencing the inequalities. Methods We analyze U.S. mortality disparities comparing Asian Americans, Blacks, Hispanics, and Native Americans/Alaska Natives to Whites using 2019 CDC and NCHS data. We develop a novel approach that estimates the mortality Gap, Adjusted for Population structure (GAP) by accounting for real-population exposures. GAP is tailored for analyses where age structures are a fundamental component, not merely a confounder. We highlight the magnitude of inequalities by comparing GAP against standard metrics’ estimates of loss of life due to leading causes of death. Results Based on GAP, Black and Native American mortality disadvantage is as deadly or deadlier than circulatory diseases (U.S. top cause of death); and is overall 72% (Men: 47%, Women: 98% women) and 65% (Men: 45%, Women: 92%) larger than life-expectancy measured disadvantage. Asian Americans and Hispanics have, according to GAP, a mortality advantage over Whites that is over three (Men: 176% , Women: 283%) and two times (Men: 123%, Women: 190%) larger than that based on life expectancy, respectively. Conclusions Mortality inequalities based on standard metrics’ synthetic populations can differ markedly from GAP estimates. We demonstrate that standard metrics underestimate racial/ethnic disparities through disregarding actual population age structures. For health policy, exposure-corrected inequalities such as GAP may provide a more reasonable signal on where to allocate scarce resources.
dc.format.extent9
dc.format.extent566564
dc.language.isoeng
dc.relation.ispartofEpidemiologyen
dc.subjectExposureen
dc.subjectRacial disparitiesen
dc.subjectMortalityen
dc.subjectAge structureen
dc.subjectH Social Sciences (General)en
dc.subjectHA Statisticsen
dc.subjectDemographyen
dc.subject3rd-DASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectSDG 10 - Reduced Inequalitiesen
dc.subjectMCCen
dc.subject.lccH1en
dc.subject.lccHAen
dc.titleUS racial-ethnic mortality gap adjusted for population structureen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Population and Health Researchen
dc.identifier.doi10.1097/EDE.0000000000001595
dc.description.statusPeer revieweden


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