{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,13]],"date-time":"2026-09-13T01:12:30Z","timestamp":1789261950352,"version":"build-2803163510"},"reference-count":63,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T00:00:00Z","timestamp":1751760000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T00:00:00Z","timestamp":1751760000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Aging Cell"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Telomere length and DNA methylation (DNAm) clocks serve as markers of biological aging and have been linked to mortality risk. This study applies additive Bayesian networks (ABNs) to examine associations between DNAm clocks, telomere length, and mortality, with a focus on racial and sex differences in aging. Data from three US cohorts\u2014NHANES (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u20092522), HRS (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u20091029), and HANDLS (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200992\u2013470)\u2014were analyzed using correlation matrices, Cox models, ABNs, and generalized structural equation models (GSEM) with mortality from the National Death Index. Epigenetic clocks, particularly GrimAgeEAA, HannumAgeEAA, and DunedinPoAM (or DunedinPACE), were stronger mortality predictors than telomere length. ABNs highlighted key relationships, consistently linking age and GrimAgeEAA to mortality in NHANES and HRS. GSEM models derived from ABNs indicated an inverse association between female sex and GrimAgeEAA in NHANES (\n                    <jats:italic>\u03b2<\/jats:italic>\n                    \u2009=\u2009\u22120.500) and HRS (\n                    <jats:italic>\u03b2<\/jats:italic>\n                    \u2009=\u2009\u22120.563), suggesting slower biological aging in women, although GrimAge clock incorporates sex in its definition. GrimAgeEAA strongly predicted mortality (LnHR,\n                    <jats:italic>\u03b2<\/jats:italic>\n                    \u2009\u00b1\u2009SE of +0.476\u2009\u00b1\u20090.0393 in NHANES and +0.511\u2009\u00b1\u20090.0775 in HRS). Non\u2010Hispanic Black adults exhibited accelerated aging via DunedinPoAM, partially mediating their higher mortality risk. Hispanic adults in NHANES had unique associations with PhenoAgeEAA (\n                    <jats:italic>\u03b2<\/jats:italic>\n                    \u2009=\u2009+0.197), a mortality predictor. DNAm clocks, particularly GrimAgeEAA, outperform telomere length in predicting mortality. Second\u2010generation epigenetic aging markers offer insights into demographic disparities in aging and mortality, with ABNs revealing complex interrelations among aging biomarkers, sex, race, and mortality risk.\n                  <\/jats:p>","DOI":"10.1111\/acel.70159","type":"journal-article","created":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T00:17:48Z","timestamp":1751847468000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Telomere Length, Epigenetic Age Acceleration, and Mortality Risk in\n                    <scp>US<\/scp>\n                    Adult Populations: An Additive Bayesian Network Analysis"],"prefix":"10.1111","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1050-4523","authenticated-orcid":false,"given":"May A.","family":"Beydoun","sequence":"first","affiliation":[{"name":"Laboratory of Epidemiology and Population Sciences National Institute on Aging  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1683-3838","authenticated-orcid":false,"given":"Nicole","family":"Noren Hooten","sequence":"additional","affiliation":[{"name":"Laboratory of Epidemiology and Population Sciences National Institute on Aging  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nigus G.","family":"Asefa","sequence":"additional","affiliation":[{"name":"Laboratory of Epidemiology and Population Sciences National Institute on Aging  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2619-2675","authenticated-orcid":false,"given":"Michael F.","family":"Georgescu","sequence":"additional","affiliation":[{"name":"Laboratory of Epidemiology and Population Sciences National Institute on Aging  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9412-2871","authenticated-orcid":false,"given":"Minkyo","family":"Song","sequence":"additional","affiliation":[{"name":"Laboratory of Epidemiology and Population Sciences National Institute on Aging  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hind A.","family":"Beydoun","sequence":"additional","affiliation":[{"name":"VA National Center on Homelessness Among Veterans U.S. Department of Veterans Affairs  Washington District of Columbia USA"},{"name":"Department of Management, Policy, and Community Health, School of Public Health University of Texas Health Science Center at Houston  Houston Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sri","family":"Banerjee","sequence":"additional","affiliation":[{"name":"Public Health Doctoral Programs Walden University  Minneapolis Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9058-4278","authenticated-orcid":false,"given":"Jagdish","family":"Khubchandani","sequence":"additional","affiliation":[{"name":"College of Health, Education and Social Transformation New Mexico State University  Las Cruces New Mexico USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Osorio","family":"Meirelles","sequence":"additional","affiliation":[{"name":"Laboratory of Epidemiology and Population Sciences National Institute on Aging  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3238-7612","authenticated-orcid":false,"given":"Lenore J.","family":"Launer","sequence":"additional","affiliation":[{"name":"Laboratory of Epidemiology and Population Sciences National Institute on Aging  Baltimore Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michele 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