2023
Birth Cohort‒Specific Smoking Patterns by Family Income in the U.S.
Jeon J, Cao P, Fleischer N, Levy D, Holford T, Meza R, Tam J. Birth Cohort‒Specific Smoking Patterns by Family Income in the U.S. American Journal Of Preventive Medicine 2023, 64: s32-s41. PMID: 36653231, PMCID: PMC11186479, DOI: 10.1016/j.amepre.2022.07.019.Peer-Reviewed Original ResearchConceptsFederal poverty levelBirth cohortSmoking patternsSmoking prevalenceFamily incomeRecent cohortsRecent birth cohortsHigh-income groupsCessation probabilitiesLower cessationPoverty levelCohortMore recent cohortsSmoking disparitiesPrevalenceIncome groupsIntervention strategiesCohort modelOlder cohortGreater declineLevel groupLow-income individualsCessationCohort differencesFuture studies
2019
CP*Trends: An Online Tool for Comparing Cohort and Period Trends Across Cancer Sites
Holford TR, Chen HS, Annett D, Krapcho M, Dorogaeva A, Feuer EJ. CP*Trends: An Online Tool for Comparing Cohort and Period Trends Across Cancer Sites. American Journal Of Epidemiology 2019, 188: 1361-1370. PMID: 30989187, PMCID: PMC6601534, DOI: 10.1093/aje/kwz089.Peer-Reviewed Original ResearchConceptsColorectal cancer incidenceCancer incidenceCancer sitesContribution of periodMale prostate cancerEnd Results (SEER) dataStudy of etiologyFemale lungCancer mortalityBronchial cancerProstate cancerCohortDisease controlRelevant exposuresIncidenceAge shiftLungCancerMortalityP scoreAgeResult dataPeriod trendsPeriodPercentage of deviance
2018
Smoking and Lung Cancer Mortality in the United States From 2015 to 2065: A Comparative Modeling Approach.
Jeon J, Holford TR, Levy DT, Feuer EJ, Cao P, Tam J, Clarke L, Clarke J, Kong CY, Meza R. Smoking and Lung Cancer Mortality in the United States From 2015 to 2065: A Comparative Modeling Approach. Annals Of Internal Medicine 2018, 169: 684-693. PMID: 30304504, PMCID: PMC6242740, DOI: 10.7326/m18-1250.Peer-Reviewed Original ResearchConceptsLung cancer mortalityTobacco control effortsCancer mortalityLung cancer ratesLung cancerCancer ratesLung cancer burdenLung cancer deathsLung cancer screeningSmoking-related diseasesU.S. populationNational Cancer InstituteLonger life expectancyCancer burdenSmoking patternsCancer deathCessation effortsCancer screeningTobacco useCancer InstituteSmokingAdditional preventionNatural historyMortalityCancerA spatiotemporal back‐calculation approach to estimate cancer incidence measures
Nautiyal N, Holford TR. A spatiotemporal back‐calculation approach to estimate cancer incidence measures. Statistics In Medicine 2018, 37: 4472-4489. PMID: 30155939, DOI: 10.1002/sim.7934.Peer-Reviewed Original Research
2016
Comparison of Smoking History Patterns Among African American and White Cohorts in the United States Born 1890 to 1990.
Holford TR, Levy DT, Meza R. Comparison of Smoking History Patterns Among African American and White Cohorts in the United States Born 1890 to 1990. Nicotine & Tobacco Research 2016, 18 Suppl 1: s16-29. PMID: 26980861, PMCID: PMC5009449, DOI: 10.1093/ntr/ntv274.Peer-Reviewed Original ResearchConceptsNational Health Interview SurveySmoking-related diseasesSmoking historyHealth Interview SurveySurgeon General's ReportBirth cohortCessation probabilitiesSmoking intensityAfrican AmericansUS National Health Interview SurveyInterview SurveyNumber of cigarettesHigh smoking prevalenceLower cessation ratesCurrent smoking behaviorLife course exposuresAdverse health effectsLower cessationSmoking exposureCessation ratesSmoking prevalenceHigh prevalenceGeneral's ReportSmoking behaviorYounger age
2015
Age‐Period‐Cohort approaches to back‐calculation of cancer incidence rate
Oh C, Holford TR. Age‐Period‐Cohort approaches to back‐calculation of cancer incidence rate. Statistics In Medicine 2015, 34: 1953-1964. PMID: 25715831, PMCID: PMC4980760, DOI: 10.1002/sim.6464.Peer-Reviewed Original ResearchConceptsCancer incidence ratesEstimates of incidenceHealth care planningCancer deathLung cancerCancer prevalenceCancer incidenceIncidence rateHealthy subjectsCare planningSurvival informationMortality statisticsCancerIncidence casesIncidenceAge periodDeathSubjectsCompartment modelCohortMortalityPrevalence
2014
Tobacco Control and the Reduction in Smoking-Related Premature Deaths in the United States, 1964-2012
Holford TR, Meza R, Warner KE, Meernik C, Jeon J, Moolgavkar SH, Levy DT. Tobacco Control and the Reduction in Smoking-Related Premature Deaths in the United States, 1964-2012. JAMA 2014, 311: 164-171. PMID: 24399555, PMCID: PMC4056770, DOI: 10.1001/jama.2013.285112.Peer-Reviewed Original ResearchConceptsEffect of smokingAge 40 yearsSmoking-related mortalityYears of lifeTobacco controlPremature deathSmoking historySmoking-related premature deathsNational Health Interview SurveyCigarette smoking exposureSmoking-related deathsCigarette smoking historyFirst Surgeon General's reportLife expectancyMortality rate ratiosNational mortality ratesUS adult populationHealth Interview SurveyOverall health outcomesSurgeon General's ReportPublic health achievementsSmoking exposurePrimary outcomeSmoking statusCigarette smoking
2012
Chapter 12: Yale Lung Cancer Model
Holford TR, Ebisu K, McKay L, Oh C, Zheng T. Chapter 12: Yale Lung Cancer Model. Risk Analysis 2012, 32: s151-s165. PMID: 22882886, PMCID: PMC3662537, DOI: 10.1111/j.1539-6924.2011.01754.x.Peer-Reviewed Original ResearchConceptsLung cancer deathsCarcinogenesis modelCancer deathLung cancer incidenceLung cancer modelTwo-stage clonal expansion modelCigarette smokingCancer incidenceCancer modelTobacco controlClonal expansion modelPopulation ratesCohort modelSmokingDeathHarmful effectsPopulation dataTemporal trendsMortalityObserved numberIncidenceControlChapter 4: Development of the Counterfactual Smoking Histories Used to Assess the Effects of Tobacco Control
Holford TR, Clark L. Chapter 4: Development of the Counterfactual Smoking Histories Used to Assess the Effects of Tobacco Control. Risk Analysis 2012, 32: s39-s50. PMID: 22882891, PMCID: PMC3490210, DOI: 10.1111/j.1539-6924.2011.01759.x.Peer-Reviewed Original ResearchConceptsTobacco controlNational Health Interview SurveyLung cancer mortalityNumber of cigarettesLung cancer modelHealth Interview SurveySurveillance Modeling NetworkSurgeon General's ReportSmoking historyCessation ratesCigarette smokingCancer mortalityCancer modelCancer interventionInterview SurveySmokingPublic healthCigarettesReportControl programsGeneral's ReportControlMortalityWomenChapter 14: Comparing the Adequacy of Carcinogenesis Models in Estimating U.S. Population Rates for Lung Cancer Mortality
Holford TR, Levy DT. Chapter 14: Comparing the Adequacy of Carcinogenesis Models in Estimating U.S. Population Rates for Lung Cancer Mortality. Risk Analysis 2012, 32: s179-s189. PMID: 22882888, PMCID: PMC3478769, DOI: 10.1111/j.1539-6924.2011.01734.x.Peer-Reviewed Original ResearchConceptsLung cancer mortalityCancer mortalityCarcinogenesis modelLung cancer mortality ratesU.S. population ratesEffect of smokingCancer Prevention StudyCancer mortality ratesPopulation ratesTwo-stage clonal expansion modelEffect of ageSmoking trendsLung cancerPrevention StudyEstimates of riskMortality rateClonal expansionClonal expansion modelCohort modelSmokingIndividual cohortsCohortMortalityU.S. malesTemporal trendsImpact of Reduced Tobacco Smoking on Lung Cancer Mortality in the United States During 1975–2000
Moolgavkar SH, Holford TR, Levy DT, Kong CY, Foy M, Clarke L, Jeon J, Hazelton WD, Meza R, Schultz F, McCarthy W, Boer R, Gorlova O, Gazelle GS, Kimmel M, McMahon PM, de Koning HJ, Feuer EJ. Impact of Reduced Tobacco Smoking on Lung Cancer Mortality in the United States During 1975–2000. Journal Of The National Cancer Institute 2012, 104: 541-548. PMID: 22423009, PMCID: PMC3317881, DOI: 10.1093/jnci/djs136.Peer-Reviewed Original ResearchConceptsLung cancer deathsLung cancer mortalityCancer deathSmoking behaviorCancer mortalityMajor public health problemTobacco controlPublic health problemTobacco control strategiesNumber of deathsSmoking historyTobacco smokingLung cancerGroups of investigatorsBirth cohortHealth problemsFirst reportSmokingMortalityDeathUnited StatesWomenMenCohortCancer
2007
Physiogenomic comparison of weight profiles of olanzapine- and risperidone-treated patients
Ruaño G, Goethe J, Caley C, Woolley S, Holford T, Kocherla M, Windemuth A, Leon J. Physiogenomic comparison of weight profiles of olanzapine- and risperidone-treated patients. Molecular Psychiatry 2007, 12: 474-482. PMID: 17199131, DOI: 10.1038/sj.mp.4001944.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAnalysis of VarianceAntipsychotic AgentsApolipoproteinsAppetite RegulationAryldialkylphosphataseBenzodiazepinesCross-Sectional StudiesFemaleGenomicsHumansLipid MetabolismMaleMental DisordersMiddle AgedOlanzapinePolymorphism, Single NucleotideReceptors, Cell SurfaceReceptors, LeptinReceptors, Neuropeptide YRisperidoneScavenger Receptors, Class BWeight GainConceptsSingle nucleotide polymorphismsPhysiogenomic analysisNeuropeptide Y receptor Y5Receptor single nucleotide polymorphismsScavenger receptor class BRisperidone-treated patientsSide effect profileReceptor class BDrug-specific mechanismsSimilar side effectsGenetic associationAtypical antipsychoticsEffect profileAppetite peptidesApolipoprotein ELeptin receptorParaoxonase 1Side effectsPatientsOlanzapineRisperidoneElevated weightApolipoprotein A4Lipid homeostasisMember 1
2003
Cigarette smoking and risk of non-Hodgkin lymphoma subtypes among women
Morton L, Holford T, Leaderer B, Boyle P, Zahm S, Zhang Y, Flynn S, Tallini G, Zhang B, Owens P, Zheng T. Cigarette smoking and risk of non-Hodgkin lymphoma subtypes among women. British Journal Of Cancer 2003, 89: 2087-2092. PMID: 14647142, PMCID: PMC2376853, DOI: 10.1038/sj.bjc.6601388.Peer-Reviewed Original ResearchConceptsNon-Hodgkin lymphomaCumulative lifetime exposureCurrent smoking statusCigarette smokingNHL subtypesFollicular lymphomaLifetime exposurePopulation-based case-control studyRisk of NHLEtiology of NHLNon-Hodgkin lymphoma subtypesDuration of smokingIntensity of smokingPrevious epidemiologic studiesCase-control studyPopulation-based controlsHistologic typeSmoking statusIncident casesTumor gradeLymphoma subtypesEpidemiologic studiesSmokingImmunologic typeLymphoma
2002
Use of hair colouring products and breast cancer risk a case–control study in Connecticut
Zheng T, Holford T, Mayne S, Owens P, Boyle P, Zhang B, Zhang Y, Zahm S. Use of hair colouring products and breast cancer risk a case–control study in Connecticut. European Journal Of Cancer 2002, 38: 1647-1652. PMID: 12142056, DOI: 10.1016/s0959-8049(02)00138-7.Peer-Reviewed Original ResearchA case-control study of occupation and breast-cancer risk in Connecticut.
Zheng T, Holford T, Taylor Mayne S, Luo J, Hansen Owens P, Hoar Zahm S, Zhang B, Zhang Y, Zhang W, Jiang Y, Boyle P. A case-control study of occupation and breast-cancer risk in Connecticut. Journal Of Cancer Epidemiology And Prevention 2002, 7: 3-11. PMID: 12369604, DOI: 10.1080/14766650252962621.Peer-Reviewed Original Research
2001
Restricted activity among community-living older persons: incidence, precipitants, and health care utilization.
Gill T, Desai M, Gahbauer E, Holford T, Williams C. Restricted activity among community-living older persons: incidence, precipitants, and health care utilization. Annals Of Internal Medicine 2001, 135: 313-21. PMID: 11529694, DOI: 10.7326/0003-4819-135-5-200109040-00007.Peer-Reviewed Original ResearchConceptsCommunity-living older personsHealth care utilizationCare utilizationRestricted activityOlder personsProspective cohort studyEmergency department visitsMonthly telephone interviewsPhysician office visitsLarge health planYears of ageHealth-related problemsCohort studyDepartment visitsHospital admissionOffice visitsFunctional statusMedical attentionHigh riskHealth plansTelephone interviewsMonthsConsecutive monthsEpisodesDisabilityLactation and breast cancer risk: a case–control study in Connecticut
Zheng T, Holford T, Mayne S, Owens P, Zhang Y, Zhang B, Boyle P, Zahm S. Lactation and breast cancer risk: a case–control study in Connecticut. British Journal Of Cancer 2001, 84: 1472-1476. PMID: 11384096, PMCID: PMC2363665, DOI: 10.1054/bjoc.2001.1793.Peer-Reviewed Original ResearchConceptsBreast cancer riskBreast cancerCancer riskIncident breast cancer casesMajor risk factorCase-control studyBreast cancer casesRisk reductionMenopausal statusParous womenPostmenopausal womenInverse associationRisk factorsCancer casesStudy interviewersFurther stratificationFirst childWomenStructured questionnaireLifetime durationCancerRiskLactationChildrenBreastfeeding
2000
Joint effects of nine polychlorinated biphenyl (PCB) congeners on breast cancer risk
Holford T, Zheng T, Mayne S, Zahm S, Tessari J, Boyle P. Joint effects of nine polychlorinated biphenyl (PCB) congeners on breast cancer risk. International Journal Of Epidemiology 2000, 29: 975-982. PMID: 11101537, DOI: 10.1093/ije/29.6.975.Peer-Reviewed Original ResearchConceptsBreast cancer riskCancer riskProtective effectBreast adipose tissue samplesYale-New Haven HospitalBreast-related surgeryAdipose tissue samplesStandardized questionnaireHealth concernCYP2B inducersAdverse effectsLogistic ridge regressionTissue samplesExposure levelsSignificant differencesMajor environmental health concernRiskEnvironmental health concernsPCB congenersDioxin-like congenersJoint effectsPatientsStatistical analysisSurgeryRegressionFood group intake and the risk of oral epithelial dysplasia in a United States population
Morse D, Pendrys D, Katz R, Holford T, Krutchkoff D, Eisenberg E, Kosis D, Kerpel S, Freedman P, Mayne S. Food group intake and the risk of oral epithelial dysplasia in a United States population. Cancer Causes & Control 2000, 11: 713-720. PMID: 11065008, DOI: 10.1023/a:1008943904085.Peer-Reviewed Original ResearchConceptsOral epithelial dysplasiaFood group intakesGroup intakesEpithelial dysplasiaOdds ratio point estimateDairy food intakeFood frequency questionnaireOral Pathology LaboratoryCase-control studyRole of dietBread/cerealsConsumption of fruitsAspects of dietUnited States populationIncident casesOral cancerOral carcinogenesisHistopathologic diagnosisLate effectsFood intakeAppointment datePotential covariatesLogistic regressionTelephone interviewsPathology laboratoryPulse pressure and risk for myocardial infarction and heart failure in the elderly
Vaccarino V, Holford T, Krumholz H. Pulse pressure and risk for myocardial infarction and heart failure in the elderly. Journal Of The American College Of Cardiology 2000, 36: 130-138. PMID: 10898424, DOI: 10.1016/s0735-1097(00)00687-2.Peer-Reviewed Original ResearchConceptsCongestive heart failureCoronary heart diseaseSystolic blood pressureCardiovascular end pointsDiastolic blood pressurePulse pressureBlood pressureEnd pointHeart failureIndependent predictorsOverall mortalityIncidence of CHFIncidence of CHDEffect of PPElevated systolic blood pressureCurrent hypertension guidelinesIncident CHF eventsCHD risk factorsCurrent medication useIncident CHD eventsPowerful independent predictorBlood pressure parametersBlood pressure variablesElevated pulse pressureDiastolic hypertension