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 studiesSmoking Disparities by Level of Educational Attainment and Birth Cohort in the U.S.
Cao P, Jeon J, Tam J, Fleischer N, Levy D, Holford T, Meza R. Smoking Disparities by Level of Educational Attainment and Birth Cohort in the U.S. American Journal Of Preventive Medicine 2023, 64: s22-s31. PMID: 36935129, PMCID: PMC10177656, DOI: 10.1016/j.amepre.2022.06.021.Peer-Reviewed Original ResearchConceptsBirth cohortSmoking patternsRecent cohortsEducation groupCurrent smoking prevalenceEducation levelGrade educationCessation probabilitiesSmoking prevalenceTobacco useLow prevalenceCohortSmoking disparitiesDemographic characteristicsPrevalenceCohort modelCollege degreeCalendar yearDemographic factorsCessationGroupSpecial considerationDisparitiesIndividualsImportant differences
2020
Modeling factors affecting age, period and cohort trends
Holford T. Modeling factors affecting age, period and cohort trends. 2020, 117-141. DOI: 10.4324/9780429056819-7.Peer-Reviewed Original ResearchAnalytical epidemiological studiesUnderstanding of etiologyCigarette smokingLung cancerEtiology of diseaseEpidemiological studiesCarcinogenesis modelDisease trendsCohort scaleCohort frameworkHealth careDiseaseExposure dataPopulation ratesCohort modelCohort trendsSmokingAgeEtiologyU.S. malesTemporal trendsEarly stepsCancerPeriodCare
2014
Patterns 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 decline
2012
Chapter 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 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 numberIncidenceControl
1996
The Continuing Increase in Adenocarcinoma of the Uterine Cervix: A Birth Cohort Phenomenon
ZHENG T, HOLFORD T, MA Z, CHEN Y, LIU W, WARD B, BOYLE P. The Continuing Increase in Adenocarcinoma of the Uterine Cervix: A Birth Cohort Phenomenon. International Journal Of Epidemiology 1996, 25: 252-258. PMID: 9119549, DOI: 10.1093/ije/25.2.252.Peer-Reviewed Original ResearchConceptsUterine cervixInvasive adenocarcinomaBirth cohortStrong birth cohort effectTime trendsBirth-cohort patternEnd Results (SEER) dataBirth-cohort phenomenonAnalytical epidemiological studiesBirth cohort effectsRecent birth cohortsObserved time trendsYoung white womenRisk factorsEpidemiological studiesCervixAdenocarcinomaCohort patternsCohort phenomenonCohortWhite womenCohort modelCohort effectsObserved increaseResult data
1994
Estimating age, period and cohort effects using the multistage model for cancer
Holford T, Zhang Z, McKay L. Estimating age, period and cohort effects using the multistage model for cancer. Statistics In Medicine 1994, 13: 23-41. PMID: 9061838, DOI: 10.1002/sim.4780130105.Peer-Reviewed Original Research
1993
Age‐period‐cohort modelling of large‐bowel‐cancer incidence by anatomic sub‐site and sex in connecticut
Dubrow R, Bernstein J, Holford T. Age‐period‐cohort modelling of large‐bowel‐cancer incidence by anatomic sub‐site and sex in connecticut. International Journal Of Cancer 1993, 53: 907-913. PMID: 8473049, DOI: 10.1002/ijc.2910530607.Peer-Reviewed Original ResearchConceptsLeft colonCohort patternsTransverse colonLarge bowelCancer incidenceEtiologic distinctionsConnecticut Tumor RegistryTumor RegistrySigmoid colonCancer casesCohort modellingBirth cohortConnecticut residentsColonRectumCohort modelSexBowelIncidenceDiagnosisMalesFemalesCommon patternRegistryCohort
1989
Age, period and cohort effects on the risk of major depression: results from five United States communities
Wickramaratne P, Weissman M, Leaf P, Holford T. Age, period and cohort effects on the risk of major depression: results from five United States communities. Journal Of Clinical Epidemiology 1989, 42: 333-343. PMID: 2723694, DOI: 10.1016/0895-4356(89)90038-3.Peer-Reviewed Original ResearchConceptsMajor depressionBirth cohortEpidemiologic Catchment Area studyYears of ageCatchment Area StudySuccessive birth cohortsLinear cohort effectCohort effectsPeriod of onsetPeriod effectsUnited States communitiesCohortDepressionAffected individualsCohort modelAgeWomenProbability sampleU.S. communitiesAPC modelMenOnset