2024
Heat and Cardiovascular Mortality: An Epidemiological Perspective
Singh N, Areal A, Breitner S, Zhang S, Agewall S, Schikowski T, Schneider A. Heat and Cardiovascular Mortality: An Epidemiological Perspective. Circulation Research 2024, 134: 1098-1112. PMID: 38662866, PMCID: PMC11042530, DOI: 10.1161/circresaha.123.323615.Peer-Reviewed Original ResearchConceptsCardiovascular disease mortalityCardiovascular disease deathsCVD deathHealth professionalsCardiovascular diseaseEpidemiological studiesAssociated with CVD mortalityMeta-analyses of epidemiological studiesEpidemiological evidenceCause-specific deathMiddle-income countriesAll-Cause MortalityCVD mortalityLack of evidenceEnvironmental epidemiologyInteractive effects of heatOlder peoplePotential biological pathwaysVulnerable subgroupsSystematic reviewMeta-analysesRobust evidenceHealth effectsPreexisting conditionsHealthGeospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era
VoPham T, White A, Jones R. Geospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era. Cancer Epidemiology Biomarkers & Prevention 2024, 33: 451-460. PMID: 38566558, PMCID: PMC10996842, DOI: 10.1158/1055-9965.epi-23-1237.Peer-Reviewed Original ResearchConceptsEnvironmental epidemiologyExternal exposomeCancer epidemiology researchCancer screening policyEpidemiology of cancerEpidemiological studiesCancer epidemiology studiesClinical decision makingPatient addressesExposome dataEpidemiological researchScreening policyLife courseEnvironmental exposuresEnvironmental exposure assessmentOptimal practiceExposomeGeographic information systemExposure assessmentEnvironmental diseaseGeospatial scienceDecision makingGeospatial dataGeospatial methodologyCancer
2023
Residential mobility in pregnancy and potential exposure misclassification of air pollution, temperature, and greenness
Heo S, Afanasyeva Y, Trasande L, Bell M, Ghassabian A. Residential mobility in pregnancy and potential exposure misclassification of air pollution, temperature, and greenness. Environmental Epidemiology 2023, 7: e273. PMID: 38912392, PMCID: PMC11189681, DOI: 10.1097/ee9.0000000000000273.Peer-Reviewed Original ResearchPotential exposure misclassificationHigher socioeconomic statusExposure misclassificationEpidemiological studiesSocioeconomic statusPercent of participantsProspective cohortThird trimesterPregnant womenPrenatal exposureMaternal characteristicsLow parityMother's residencePregnancyResidential addressesGood healthResidential historyExposure assessmentDifferential exposure misclassificationEnvironmental epidemiologyExposureBirthResidenceStatusParticipants
2020
Integrative statistical methods for exposure mixtures and health
Reich BJ, Guan Y, Fourches D, Warren JL, Sarnat SE, Chang HH. Integrative statistical methods for exposure mixtures and health. The Annals Of Applied Statistics 2020, 14: 1945-1963. PMID: 35284031, PMCID: PMC8914338, DOI: 10.1214/20-aoas1364.Peer-Reviewed Original ResearchIntegrative statistical methodsStatistical methodsAuxiliary informationFlexible Bayesian modelInnovative statistical toolsPrior distributionVolatile organic compoundsStatistical toolsBayesian modelOrganic compoundsInterpretable modelsSpectrum of analysisRole of mixturesEmergency room visitsChemical mixturesDiverse chemicalsMixture constituentsNew methodRoom visitsMixtureEnvironmental epidemiologyMeasured exposureChemicalsAdverse health outcomesToxicological data
2018
Distributed Lag Interaction Models with Two Pollutants
Chen Y, Mukherjee B, Berrocal V. Distributed Lag Interaction Models with Two Pollutants. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2018, 68: 79-97. PMID: 30636815, PMCID: PMC6328049, DOI: 10.1111/rssc.12297.Peer-Reviewed Original ResearchMean square errorEffects of air pollutionDistributed lag modelsAir pollution studiesHealth outcomesNational MorbidityBias-variance tradeoffEnvironmental epidemiologyAir pollutionPollution studiesPollutionLag effectMortality countsMain effectTensor productShrinkage methodShrinkage versionAverage performanceNatural waySimulation studyJoint effectsInteraction structureMortalityNMMAPSMorbidity
2011
A Latent Variable Approach to Study Gene–Environment Interactions in the Presence of Multiple Correlated Exposures
Sánchez B, Kang S, Mukherjee B. A Latent Variable Approach to Study Gene–Environment Interactions in the Presence of Multiple Correlated Exposures. Biometrics 2011, 68: 466-476. PMID: 21955029, PMCID: PMC4405908, DOI: 10.1111/j.1541-0420.2011.01677.x.Peer-Reviewed Original ResearchMeSH KeywordsAnalysis of VarianceBiasBiometryBirth WeightCase-Control StudiesComputer SimulationEnvironmental ExposureEpidemiologic FactorsFemaleGene-Environment InteractionHumansInfant, NewbornIronLead PoisoningModels, StatisticalPregnancyPrenatal Exposure Delayed EffectsPrincipal Component AnalysisConceptsGene-environment interactionsGene-environmentEnvironmental epidemiologyCohort studyGene-environment dependenceBurden of multiple testingStudy gene-environment interactionsEnvironmental exposuresExposure dataEarly life exposuresLV frameworkG x E effectsHealth StudyCorrelated exposuresG x EDisease riskLife exposureMultiple testingFunction of environmental exposureE studyGenotype categoriesStudy of lead exposureBirth weightIron metabolism genesAdaptive trade-off
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply