2015
Effects of Recent Stress and Variation in the Serotonin Transporter Polymorphism (5-HTTLPR) on Depressive Symptoms: A Repeated-Measures Study of Adults Age 50 and Older
Arpawong TE, Lee J, Phillips DF, Crimmins EM, Levine ME, Prescott CA. Effects of Recent Stress and Variation in the Serotonin Transporter Polymorphism (5-HTTLPR) on Depressive Symptoms: A Repeated-Measures Study of Adults Age 50 and Older. Behavior Genetics 2015, 46: 72-88. PMID: 26330209, PMCID: PMC4720538, DOI: 10.1007/s10519-015-9740-8.Peer-Reviewed Original ResearchMeSH KeywordsAgedAllelesDepressionDepressive DisorderEthnicityFemaleGene-Environment InteractionGenetic Association StudiesGenetic Predisposition to DiseaseHaplotypesHumansLife Change EventsMaleMiddle AgedPolymorphism, Single NucleotidePromoter Regions, GeneticSerotonin Plasma Membrane Transport ProteinsStress, PsychologicalConceptsDepressive symptomsU.S. population-based studyRecent stressOlder adultsStress-diathesis hypothesisPopulation-based studySerotonin transporter gene promoter regionSingle nucleotide polymorphismsDepressive symptom levelsPopulation-based sampleAdults age 50Race/ethnicityAge 50Repeated-measures designSerotonin transporter polymorphismDepressive symptomatologySymptomsOlder individualsSymptom levelsReverse causationTransporter polymorphismMeasures studyDifferential effectsShort alleleStressful events
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 IIINot 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