2021
Associations of Age, Sex, Race/Ethnicity, and Education With 13 Epigenetic Clocks in a Nationally Representative U.S. Sample: The Health and Retirement Study
Crimmins EM, Thyagarajan B, Levine ME, Weir DR, Faul J. Associations of Age, Sex, Race/Ethnicity, and Education With 13 Epigenetic Clocks in a Nationally Representative U.S. Sample: The Health and Retirement Study. The Journals Of Gerontology Series A 2021, 76: 1117-1123. PMID: 33453106, PMCID: PMC8140049, DOI: 10.1093/gerona/glab016.Peer-Reviewed Original Research
2018
Time and the Metrics of Aging
Ferrucci L, Levine ME, Kuo PL, Simonsick EM. Time and the Metrics of Aging. Circulation Research 2018, 123: 740-744. PMID: 30355074, PMCID: PMC6205734, DOI: 10.1161/circresaha.118.312816.Peer-Reviewed Original ResearchIs 60 the New 50? Examining Changes in Biological Age Over the Past Two Decades
Levine ME, Crimmins EM. Is 60 the New 50? Examining Changes in Biological Age Over the Past Two Decades. Demography 2018, 55: 387-402. PMID: 29511995, PMCID: PMC5897168, DOI: 10.1007/s13524-017-0644-5.Peer-Reviewed Original ResearchConceptsBiological ageModifiable health behaviorsModifiable risk factorsLife expectancySex-specific changesNHANES IVMedication useNHANES IIIRisk factorsDegree of improvementHealth behaviorsOlder groupOlder adultsPace of agingAgeSex groupsGreater declineGreater improvementChronological ageContribution of changesHealthExpectancy
2017
Biological Age, Not Chronological Age, Is Associated with Late-Life Depression
Brown PJ, Wall MM, Chen C, Levine ME, Yaffe K, Roose SP, Rutherford BR. Biological Age, Not Chronological Age, Is Associated with Late-Life Depression. The Journals Of Gerontology Series A 2017, 73: 1370-1376. PMID: 28958059, PMCID: PMC6132120, DOI: 10.1093/gerona/glx162.Peer-Reviewed Original ResearchConceptsLate-life depressionCES-D scoresDepressive symptomsBaseline CES-D scoreBiological ageChronological ageCovariate-adjusted regression modelsOlder biological ageEpidemiologic Studies Depression ScaleSignificant depressive symptomsBody Composition StudyMean chronological ageAge-associated changesNumerous physiological systemsAge-related processesKidney functioningLife depressionDepression ScaleDepression groupBrain disordersHealth AgingLongitudinal associationsSymptomsAgeRegression models
2016
Epigenetic Aging and Immune Senescence in Women With Insomnia Symptoms: Findings From the Women’s Health Initiative Study
Carroll JE, Irwin MR, Levine M, Seeman TE, Absher D, Assimes T, Horvath S. Epigenetic Aging and Immune Senescence in Women With Insomnia Symptoms: Findings From the Women’s Health Initiative Study. Biological Psychiatry 2016, 81: 136-144. PMID: 27702440, PMCID: PMC5536960, DOI: 10.1016/j.biopsych.2016.07.008.Peer-Reviewed Original ResearchConceptsNaive T cellsWomen's Health Initiative studyDifferentiated T cellsT cellsInsomnia symptomsAge-related morbidityShort sleepSleep durationInitiative studyLarge population-based studyEpigenetic agePopulation-based studyLong sleep durationSymptoms of insomniaImmune senescenceImmune cellsLong sleepAdvanced epigenetic ageCell countSymptomsInfluence riskSleepCross-sectional dataAgeAge acceleration
2015
Childhood and later life stressors and increased inflammatory gene expression at older ages
Levine ME, Cole SW, Weir DR, Crimmins EM. Childhood and later life stressors and increased inflammatory gene expression at older ages. Social Science & Medicine 2015, 130: 16-22. PMID: 25658624, PMCID: PMC4394113, DOI: 10.1016/j.socscimed.2015.01.030.Peer-Reviewed Original ResearchConceptsChildhood traumaLow SESPro-inflammatory gene expressionProinflammatory gene expression levelsEarly lifeLater lifeLife health outcomesInflammatory gene expressionLater-life health outcomesHigh riskInflammatory genesAdulthood adversityChildhood healthHealth outcomesAdverse experiencesAdult traumaOlder ageTraumaLate-life stressorsGene expressionElevated levelsFuture healthComposite scoreLife stressorsChildhood
2014
Not All Smokers Die Young: A Model for Hidden Heterogeneity within the Human Population
Levine M, Crimmins E. Not All Smokers Die Young: A Model for Hidden Heterogeneity within the Human Population. PLOS ONE 2014, 9: e87403. PMID: 24520332, PMCID: PMC3919713, DOI: 10.1371/journal.pone.0087403.Peer-Reviewed Original ResearchConceptsLung function levelsProportional hazards modelMost age groupsCurrent smokersSimilar inflammationNHANES IIIMortality riskSmokersAge 50Age 80Hazards modelExtreme old ageAge groupsMeans of biomarkersOlder ageResilient phenotypeHigh exposureFunction levelUnderstanding of heterogeneityDamaging factorsLongevity extensionAging processBiological advantagesSmokingInflammation
2012
The role of physiological markers of health in the association between demographic factors and periodontal disease
Levine ME, Kim JK, Crimmins EM. The role of physiological markers of health in the association between demographic factors and periodontal disease. Journal Of Periodontal Research 2012, 48: 367-372. PMID: 23231345, PMCID: PMC3609891, DOI: 10.1111/jre.12016.Peer-Reviewed Original ResearchConceptsC-reactive proteinPeriodontal diseaseRace/ethnicitySocio-economic statusDemographic factorsOral health statusMultiple physiological systemsSystemic healthOral diseasesMeasures of SESHigh prevalencePhysiological measuresHealth statusSocio-demographic variablesLogistic regressionDiseaseCytomegalovirusElevated levelsAssociationEarly agingLow-income individualsPhysiological markersBiomarkersDemographic variablesHealth