2022
Contribution of life course circumstances to the acceleration of phenotypic and functional aging: A retrospective study
Cao X, Ma C, Zheng Z, He L, Hao M, Chen X, Crimmins EM, Gill TM, Levine ME, Liu Z. Contribution of life course circumstances to the acceleration of phenotypic and functional aging: A retrospective study. EClinicalMedicine 2022, 51: 101548. PMID: 35844770, PMCID: PMC9284373, DOI: 10.1016/j.eclinm.2022.101548.Peer-Reviewed Original ResearchDisease Research CenterDisadvantaged subpopulationsAdulthood circumstancesAlzheimer's Disease Research CenterRetirement Longitudinal StudyFunctional agingLife course circumstancesAdvancing Translational SciencesRetrospective studyChronic diseasesGeneral linear regression modelHealth gapChina HealthBiomarker collectionOlder adultsLater lifeNational InstituteLongitudinal studySubpopulationsLinear regression modelsTranslational scienceRegression modelsChildhoodAdvantaged counterpartsHealth
2021
Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants
Kuo CL, Pilling LC, Atkins JL, Masoli JAH, Delgado J, Tignanelli C, Kuchel GA, Melzer D, Beckman KB, Levine ME. Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants. The Journals Of Gerontology Series A 2021, 76: e133-e141. PMID: 33684206, PMCID: PMC7989601, DOI: 10.1093/gerona/glab060.Peer-Reviewed Original ResearchConceptsCOVID-19 severity outcomeCOVID-19 severityDiseases/conditionsAge-related comorbid conditionsCOVID-19-related mortalityPrevalent chronic diseasesCOVID-19 infectionBiggest risk factorCOVID-19Severity outcomesUK Biobank participantsLogistic regression modelsComorbid conditionsTest positivityRisk factorsChronic diseasesInpatient settingFurther adjustmentSymptom severityEarly pandemicBiobank participantsDisease prevalenceAgeSeverityCOVID-19 pandemic
2015
Quantification of biological aging in young adults
Belsky DW, Caspi A, Houts R, Cohen HJ, Corcoran DL, Danese A, Harrington H, Israel S, Levine ME, Schaefer JD, Sugden K, Williams B, Yashin AI, Poulton R, Moffitt TE. Quantification of biological aging in young adults. Proceedings Of The National Academy Of Sciences Of The United States Of America 2015, 112: e4104-e4110. PMID: 26150497, PMCID: PMC4522793, DOI: 10.1073/pnas.1506264112.Peer-Reviewed Original ResearchConceptsYoung adultsYoung humansSame chronological ageSelf-reported bad healthCognitive declineOlder adultsBiological agingYoung individualsChronological ageMultiple organ systemsBrain agingLongitudinal measuresAge-related diseasesChronic diseasesAdultsFourth decadeBirth cohortOrgan systemsWorse healthIndividualsRejuvenation therapyTime pointsHuman agingMultiple biomarkersTherapy