2023
Patterns of Birth Cohort‒Specific Smoking Histories in Brazil
Tam J, Jaffri M, Mok Y, Jeon J, Szklo A, Souza M, Holford T, Levy D, Cao P, Sánchez-Romero L, Meza R. Patterns of Birth Cohort‒Specific Smoking Histories in Brazil. American Journal Of Preventive Medicine 2023, 64: s63-s71. PMID: 36775755, PMCID: PMC10240503, DOI: 10.1016/j.amepre.2022.12.002.Peer-Reviewed Original ResearchConceptsMean cigarettesBirth cohortSmoker prevalenceSmoking patternsLong-term health outcomesGlobal Adult Tobacco SurveyAdult Tobacco SurveyNational Health SurveyStronger tobacco control policiesTobacco control policiesSmoking historySmoking cessationPublic health decisionsSmoking prevalenceRisk factorsChronic diseasesHealth SurveyTobacco useSmoking initiationHealth outcomesFemale cohortCohortTobacco SurveyTelephone interviewsSmoking parametersBirth 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
2014
Proximity to Natural Gas Wells and Reported Health Status: Results of a Household Survey in Washington County, Pennsylvania
Rabinowitz PM, Slizovskiy IB, Lamers V, Trufan SJ, Holford TR, Dziura JD, Peduzzi PN, Kane MJ, Reif JS, Weiss TR, Stowe MH. Proximity to Natural Gas Wells and Reported Health Status: Results of a Household Survey in Washington County, Pennsylvania. Environmental Health Perspectives 2014, 123: 21-26. PMID: 25204871, PMCID: PMC4286272, DOI: 10.1289/ehp.1307732.Peer-Reviewed Original ResearchConceptsHealth symptomsUpper respiratory symptomsPublic health impactRespiratory symptomsNeurological symptomsSymptom SurveyRespiratory conditionsSkin conditionsHypothesis generatingHealth statusSymptomsFurther studiesGastrointestinal conditionsHealth impactsHousehold educationPrevalenceWashington CountyHousehold proximityPersonsSmokingWater exposureHousehold surveyWork typePatterns of Birth Cohort–Specific Smoking Histories, 1965–2009
Holford TR, Levy DT, McKay LA, Clarke L, Racine B, Meza R, Land S, Jeon J, Feuer EJ. Patterns of Birth Cohort–Specific Smoking Histories, 1965–2009. American Journal Of Preventive Medicine 2014, 46: e31-e37. PMID: 24439359, PMCID: PMC3951759, DOI: 10.1016/j.amepre.2013.10.022.Peer-Reviewed Original ResearchConceptsSmoking historyBirth cohortU.S. National Health Interview SurveyNational Health Interview SurveySmoking-related mortalityHealth Interview SurveyTobacco control interventionsCurrent smoking behaviorAge-specific distributionSmoking statusSmoking patternsSmoking intensitySurvival differencesSmoking behaviorCohortControl interventionsDifferent birth cohortsDate of surveyInterview SurveyIntervention strategiesCohort modelSmokersAgePrevalenceSlow declineTobacco 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 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 trendsChapter 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 ReportControlMortalityWomenImpact 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
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 monthsEpisodesDisabilityThe Natural History of Periodontal Disease in Man. Risk Factors for Progression of Attachment Loss in Individuals Receiving No Oral Health Care
Neely A, Holford T, Löe H, Ånerud Å, Boysen H. The Natural History of Periodontal Disease in Man. Risk Factors for Progression of Attachment Loss in Individuals Receiving No Oral Health Care. Journal Of Periodontology 2001, 72: 1006-1015. PMID: 11525431, DOI: 10.1902/jop.2001.72.8.1006.Peer-Reviewed Original ResearchConceptsHistory of smokingAttachment lossPeriodontal attachment lossGingival indexCalculus indexPlaque indexRisk factorsPeriodontal diseaseNatural historyMean attachment lossOral health assessmentProfessional dental careOral health careFinal adjusted modelPotential risk factorsMesio-buccal surfaceThird molar teethBetel nut useAbsence of teethCaries indexDental careAttachment levelAdjusted modelNut useMolar teeth
2000
Food 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 laboratoryA Randomized Controlled Trial of Auricular Acupuncture for Cocaine Dependence
Avants S, Margolin A, Holford T, Kosten T. A Randomized Controlled Trial of Auricular Acupuncture for Cocaine Dependence. JAMA Internal Medicine 2000, 160: 2305-2312. PMID: 10927727, DOI: 10.1001/archinte.160.15.2305.Peer-Reviewed Original ResearchConceptsAuricular acupunctureCocaine dependenceCocaine addictionOpiate dependent populationUrine toxicology screenMethadone-maintained patientsCocaine-negative urine samplesDrug treatment facilitiesPrimary outcomeControlled TrialsToxicology screenTreatment modalitiesTreat sampleEffective treatmentUrine dataAcupunctureTreatment sessionsCocaine useRelaxation controlUrine samplesPatientsLongitudinal analysisTreatmentFurther investigationControl conditionPulse 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
1999
A Multicomponent Intervention to Prevent Delirium in Hospitalized Older Patients
Inouye S, Bogardus S, Charpentier P, Leo-Summers L, Acampora D, Holford T, Cooney L. A Multicomponent Intervention to Prevent Delirium in Hospitalized Older Patients. New England Journal Of Medicine 1999, 340: 669-676. PMID: 10053175, DOI: 10.1056/nejm199903043400901.Peer-Reviewed Original ResearchConceptsSeverity of deliriumRisk factorsCognitive impairmentRecurrence rateIntervention groupRisk factor intervention strategyHearing impairmentVisual impairmentHospitalized Older PatientsPatients 70 yearsPrevention of deliriumUsual care unitsUsual care groupGeneral medicine serviceEffective treatment strategiesDuration of episodesPrevent DeliriumOlder patientsRate of usePrimary outcomeSleep medicationPoor outcomePrimary preventionPatient's deliriumTeaching hospital