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
2019
Changing Disease Prevalence, Incidence, and Mortality Among Older Cohorts: The Health and Retirement Study
Crimmins EM, Zhang YS, Kim JK, Levine ME. Changing Disease Prevalence, Incidence, and Mortality Among Older Cohorts: The Health and Retirement Study. The Journals Of Gerontology Series A 2019, 74: s21-s26. PMID: 31724057, PMCID: PMC6853787, DOI: 10.1093/gerona/glz075.Peer-Reviewed Original ResearchConceptsMyocardial infarctionHeart diseaseOlder cohortDisease prevalencePopulation healthPrevalence of cancerPrevalence of peopleYounger cohortsRetirement StudyStart of observationCardiovascular conditionsAge 70CohortOlder personsInfarctionPrevalenceIncidenceDeath rateStrokeDiseaseImportant signCancerMortalityHealthDiabetesThe role of epigenetic aging in education and racial/ethnic mortality disparities among older U.S. Women
Liu Z, Chen BH, Assimes TL, Ferrucci L, Horvath S, Levine ME. The role of epigenetic aging in education and racial/ethnic mortality disparities among older U.S. Women. Psychoneuroendocrinology 2019, 104: 18-24. PMID: 30784901, PMCID: PMC6555423, DOI: 10.1016/j.psyneuen.2019.01.028.Peer-Reviewed Original Research
2018
A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study
Liu Z, Kuo PL, Horvath S, Crimmins E, Ferrucci L, Levine M. A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study. PLOS Medicine 2018, 15: e1002718. PMID: 30596641, PMCID: PMC6312200, DOI: 10.1371/journal.pmed.1002718.Peer-Reviewed Original ResearchConceptsPhenotypic AgeNHANES IVCause mortalityMortality riskHealth behaviorsRepresentative US adult populationDisease-free personsOld-old adultsChronological ageRisk of deathAge 85 yearsCause-specific mortalityCause of deathProportional hazards modelUS adult populationHealth behavior characteristicsDisease countsPotential biological mechanismsEfficacy of interventionsRace/ethnicityNormal BMICohort studyDiverse subpopulationsHazards modelRisk individuals
2016
DNA methylation-based measures of biological age: meta-analysis predicting time to death
Chen BH, Marioni RE, Colicino E, Peters MJ, Ward-Caviness CK, Tsai PC, Roetker NS, Just AC, Demerath EW, Guan W, Bressler J, Fornage M, Studenski S, Vandiver AR, Moore AZ, Tanaka T, Kiel DP, Liang L, Vokonas P, Schwartz J, Lunetta KL, Murabito JM, Bandinelli S, Hernandez DG, Melzer D, Nalls M, Pilling LC, Price TR, Singleton AB, Gieger C, Holle R, Kretschmer A, Kronenberg F, Kunze S, Linseisen J, Meisinger C, Rathmann W, Waldenberger M, Visscher PM, Shah S, Wray NR, McRae AF, Franco OH, Hofman A, Uitterlinden AG, Absher D, Assimes T, Levine ME, Lu AT, Tsao PS, Hou L, Manson JE, Carty CL, LaCroix AZ, Reiner AP, Spector TD, Feinberg AP, Levy D, Baccarelli A, van Meurs J, Bell JT, Peters A, Deary IJ, Pankow JS, Ferrucci L, Horvath S. DNA methylation-based measures of biological age: meta-analysis predicting time to death. Aging 2016, 8: 1844-1859. PMID: 27690265, PMCID: PMC5076441, DOI: 10.18632/aging.101020.Peer-Reviewed Original ResearchConceptsCause mortalityBlood cell compositionRisk factorsTraditional risk factorsBlood cell countAdditional risk factorsChronological ageEpigenetic ageCell compositionBiological ageEpigenetic age accelerationStudy ACell countEthnic groupsSignificant associationHuman cohortsRobust biomarkersMortalityTotal sample sizeMethylation-based measuresDNA methylation-based measuresEpigenetic age estimatesAgeAge accelerationDifferent cohorts
2014
A comparison of methods for assessing mortality risk
Levine ME, Crimmins EM. A comparison of methods for assessing mortality risk. American Journal Of Human Biology 2014, 26: 768-776. PMID: 25088793, PMCID: PMC4286244, DOI: 10.1002/ajhb.22595.Peer-Reviewed Original ResearchConceptsFramingham risk scoreDisease-specific mortalityRisk scoreAllostatic loadBiological ageNutrition Examination Survey IIICox proportional hazards modelStratified age groupsStrong associationExamination Survey IIIProportional hazards modelParticipants ages 50CVD mortalityPerson yearsCancer mortalityNational HealthStudy populationMortality riskAge 50Hazards modelAge 30Age groupsMortalityAge rangeSurvey IIIEvidence of accelerated aging among African Americans and its implications for mortality
Levine ME, Crimmins EM. Evidence of accelerated aging among African Americans and its implications for mortality. Social Science & Medicine 2014, 118: 27-32. PMID: 25086423, PMCID: PMC4197001, DOI: 10.1016/j.socscimed.2014.07.022.Peer-Reviewed Original ResearchConceptsBiological ageNutrition Examination SurveyThird National HealthHigher biological ageMajor age-related diseasesChronological ageCancer mortalityExamination SurveyAge-related diseasesNational HealthEarly deathAge 60Age 30MortalityAge accountRacial disparitiesAgePremature declineWhite participantsAfrican AmericansCurrent studyMortality selectionHealthWhitesAging process
2012
Modeling the Rate of Senescence: Can Estimated Biological Age Predict Mortality More Accurately Than Chronological Age?
Levine ME. Modeling the Rate of Senescence: Can Estimated Biological Age Predict Mortality More Accurately Than Chronological Age? The Journals Of Gerontology Series A 2012, 68: 667-674. PMID: 23213031, PMCID: PMC3660119, DOI: 10.1093/gerona/gls233.Peer-Reviewed Original Research