biostudies-literatureForrester SNNCATS NIH HHSNIA NIH HHSNational Heart, Lung, and Blood InstituteNHLBI NIH HHSCenter for Information Technology997-1009https://www.ebi.ac.uk/biostudies/studies/S-EPMC8137718biostudies-literatureUnknown27(5)<h4>Objective</h4>Variability of Cardiovascular disease (CVD) risk, including racial difference, is not fully accounted for by the variability of traditional CVD risk factors. We used a multiple biomarker model as a framework to explore known racial differences in CVD burden.<h4>Design</h4>We measured associations between accelerated aging (AccA) measured by a combination of biomarkers, and cardiovascular morbidity and all-cause mortality using data from the Coronary Artery Risk Development in Young Adults study (CARDIA). AccA was defined as the difference between biological age, calculated using biomarkers with the Klemera and Doubal method, and chronological age. Using logistic regression, we assessed overall and race-specific associations between AccA, CVD, and all-cause mortality.<h4>REthnicity & healthRacial differences in the association of accelerated aging with future cardiovascular events and all-cause mortality: the coronary artery risk development in young adults study, 2007-2018.PMC8137718HHSN268201800005IHHSN268201800004IK02AG059140,R01AG054363,U54MD00214HHSN268201800007IR01 AG054363HHSN268201800006I5T32HL120823-02K02 AG059140HHSN268201800003IUL1 TR001453T32 HL120823KL2 TR001455Forrester SNRoger VLSchreiner PJKiefe CIJacobs DRZmora RThorpe RJfalseRacial differences in the association of accelerated aging with future cardiovascular events and all-cause mortality: the coronary artery risk development in young adults study, 2007-2018.<h4>Objective</h4>Variability of Cardiovascular disease (CVD) risk, including racial difference, is not fully accounted for by the variability of traditional CVD risk factors. We used a multiple biomarker model as a framework to explore known racial differences in CVD burden.<h4>Design</h4>We measured associations between accelerated aging (AccA) measured by a combination of biomarkers, and cardiovascular morbidity and all-cause mortality using data from the Coronary Artery Risk Development in Young Adults study (CARDIA). AccA was defined as the difference between biological age, calculated using biomarkers with the Klemera and Doubal method, and chronological age. Using logistic regression, we assessed overall and race-specific associations between AccA, CVD, and all-cause mortality.<h4>R2022-01-01T00:00:00Z2022 Jul2025-04-22T07:30:15.837Z2022-07-07T22:42:06.515ZS-EPMC81377183322249910.1080/13557858.2020.1839021