Featured Publications
Estimated Prevalence of Smoking and Smoking-Attributable Mortality Associated With Graphic Health Warnings on Cigarette Packages in the US From 2022 to 2100
Tam J, Jeon J, Thrasher JF, Hammond D, Holford TR, Levy DT, Meza R. Estimated Prevalence of Smoking and Smoking-Attributable Mortality Associated With Graphic Health Warnings on Cigarette Packages in the US From 2022 to 2100. JAMA Health Forum 2021, 2: e212852. PMID: 35977179, PMCID: PMC8796938, DOI: 10.1001/jamahealthforum.2021.2852.Peer-Reviewed Original ResearchConceptsSmoking-attributable deathsGraphic health warningsSmoking-attributable mortalityDecision analytical modelHealth warningsCigarette packagesPrevalence of smokingAdult smoking prevalenceSurveillance Modeling NetworkPopulation health outcomesPublic health benefitsPrimary outcomeSmoking prevalenceMAIN OUTCOMEUS FoodDrug AdministrationHealth outcomesMore deathsCancer interventionSmokingHealth harmsHealth benefitsPrevalenceDeathOutcomes
2024
Smoking patterns by birth cohort in Argentina: an age-period-cohort population-based modeling study
Salgado M, Mok Y, Jeon J, Jaffri M, Tam J, Holford T, Sánchez-Romero L, Meza R, Mejia R. Smoking patterns by birth cohort in Argentina: an age-period-cohort population-based modeling study. The Lancet Regional Health - Americas 2024, 36: 100823. PMID: 39006127, PMCID: PMC11246057, DOI: 10.1016/j.lana.2024.100823.Peer-Reviewed Original ResearchCurrent smoking prevalenceSmoking prevalenceBirth cohortSmoking initiationCessation probabilitiesPopulation-based modelling studyTobacco control measuresRecent birth cohortsRate of quittingNationally representative surveySmoking ratesSmoking patternsYears of ageRepresentative surveySurveillance modelCancer interventionSmokingSmoking historyPrevalenceCohortGroup ageBirthInterventionCessationAge
2023
The smoking and vaping model, A user-friendly model for examining the country-specific impact of nicotine VAPING product use: application to Germany
Sánchez-Romero L, Liber A, Li Y, Yuan Z, Tam J, Travis N, Jeon J, Issabakhsh M, Meza R, Levy D. The smoking and vaping model, A user-friendly model for examining the country-specific impact of nicotine VAPING product use: application to Germany. BMC Public Health 2023, 23: 2299. PMID: 37990171, PMCID: PMC10662637, DOI: 10.1186/s12889-023-17152-y.Peer-Reviewed Original ResearchConceptsNicotine vaping productsMortality riskNVP usePopulation health effectsPublic health interventionsPublic health impactAdults ages 18Smoking prevalenceSmokingHealth interventionsAge 18Tobacco controlDeath rateHealth effectsVaping productsLife expectancyProduct useHealth impactsSVaDPrevalenceLYLSame periodRiskSmokersPopulationPatterns 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 studiesPatterns of Birth Cohort‒Specific Smoking Histories by Race and Ethnicity in the U.S.
Meza R, Cao P, Jeon J, Fleischer N, Holford T, Levy D, Tam J. Patterns of Birth Cohort‒Specific Smoking Histories by Race and Ethnicity in the U.S. American Journal Of Preventive Medicine 2023, 64: s11-s21. PMID: 36653232, PMCID: PMC10362802, DOI: 10.1016/j.amepre.2022.06.022.Peer-Reviewed Original ResearchConceptsAmerican IndiansBlack populationCessation probabilitiesNative populationsRace/ethnicityNon-Hispanic white populationNon-Hispanic black populationPacific IslandersBirth cohortNon-Hispanic whitesAlaskan Native populationsWhite populationSmoking prevalenceIndiansNational Health Interview SurveyU.S. smoking prevalenceAlaskan NativesPatterns of smokingHealth Interview SurveyNon-Hispanic blacksIslandersNative individualsNon-Hispanic AsiansNativesSmoking historySmoking 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 differencesSmoking Histories by State in the U.S.
Holford T, McKay L, Jeon J, Tam J, Cao P, Fleischer N, Levy D, Meza R. Smoking Histories by State in the U.S. American Journal Of Preventive Medicine 2023, 64: s42-s52. PMID: 36653233, PMCID: PMC11186469, DOI: 10.1016/j.amepre.2022.08.018.Peer-Reviewed Original ResearchConceptsPack yearsSmoking historySmoking prevalenceBirth cohortSmoking initiationNational Health Interview SurveyMean smoking durationHealth Interview SurveyTobacco Use SupplementRecent birth cohortsTobacco control policiesCessation probabilitiesCigarette smokingSmoking trendsSmoking durationSmoking ratesState-specific trendsPrevalenceTobacco controlInterview SurveyCohortCessationDurationInitiationYears
2022
Modeling cigarette smoking disparities between people with and without serious psychological distress in the US, 1997–2100
Xi Q, Meza R, Leventhal A, Tam J. Modeling cigarette smoking disparities between people with and without serious psychological distress in the US, 1997–2100. Preventive Medicine 2022, 166: 107385. PMID: 36495925, PMCID: PMC9994605, DOI: 10.1016/j.ypmed.2022.107385.Peer-Reviewed Original ResearchConceptsSerious psychological distressSPD statusSmoking disparitiesSmoking prevalenceSmoking initiationNational Health Interview Survey 1997Smoking-related disparitiesPsychological distressSmoking-attributable deathsCigarette smoking ratesSmoking cessationSmoking ratesGeneral populationPremature deathTobacco controlPrevalenceDeathCessationWomenDistressDisparitiesInitiationPopulationAbsolute differenceCompartmental model
2021
US Nicotine Vaping Product SimSmoke Simulation Model: The Effect of Vaping and Tobacco Control Policies on Smoking Prevalence and Smoking-Attributable Deaths
Levy DT, Sánchez-Romero LM, Travis N, Yuan Z, Li Y, Skolnick S, Jeon J, Tam J, Meza R. US Nicotine Vaping Product SimSmoke Simulation Model: The Effect of Vaping and Tobacco Control Policies on Smoking Prevalence and Smoking-Attributable Deaths. International Journal Of Environmental Research And Public Health 2021, 18: 4876. PMID: 34063672, PMCID: PMC8124578, DOI: 10.3390/ijerph18094876.Peer-Reviewed Original ResearchConceptsSmoking-attributable deathsSmoking prevalenceNicotine vaping productsNVP useCigarette-oriented policiesAdult smoking prevalencePublic health impactTobacco control policiesUS National SurveySmoking trendsCigarette useTUS-CPSPrevalenceAge 18Young adultsVaping productsHealth impactsNational surveyDeathMalesFemales
2020
Modeling smoking-attributable mortality among adults with major depression in the United States
Tam J, Taylor GMJ, Zivin K, Warner KE, Meza R. Modeling smoking-attributable mortality among adults with major depression in the United States. Preventive Medicine 2020, 140: 106241. PMID: 32860820, PMCID: PMC7680404, DOI: 10.1016/j.ypmed.2020.106241.Peer-Reviewed Original ResearchConceptsCurrent major depressionSmoking-attributable mortalityMajor depressionGeneral populationComorbid mental health conditionsSmoking-attributable deathsUS adult populationMental health statusTobacco-related health disparitiesPublic health effortsMental health conditionsTobacco control effortsPrevalence ratiosSmoking prevalenceAbsence of interventionMD onsetDifferent intervention strategiesHealth effortsMD increaseDrug useHealth statusLife yearsMD comorbidityAdult populationPremature death
2018
Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol
Tam J, Levy DT, Jeon J, Clarke J, Gilkeson S, Hall T, Feuer EJ, Holford TR, Meza R. Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol. BMJ Open 2018, 8: e019169. PMID: 29574440, PMCID: PMC5875683, DOI: 10.1136/bmjopen-2017-019169.Peer-Reviewed Original ResearchConceptsTobacco control policiesNational Health Interview SurveySmoke-free air lawsPublic health decision makingHealth Interview SurveyPopulation health outcomesHealth decision makingCessation ratesSmoking prevalenceStudy protocolPreventable deathsBirth cohortHealth outcomesAge groupsSmokingInterview SurveyPopulation deathsReduced exposureTobacco policiesCigarette taxesMortalityPrevalenceDirect individual benefitAir lawsDeathThe Impact of Implementing Tobacco Control Policies
Levy DT, Tam J, Kuo C, Fong GT, Chaloupka F. The Impact of Implementing Tobacco Control Policies. Journal Of Public Health Management And Practice 2018, 24: 448-457. PMID: 29346189, PMCID: PMC6050159, DOI: 10.1097/phh.0000000000000780.Peer-Reviewed Original ResearchConceptsTobacco control programsComprehensive tobacco control programSmoke-free air lawsCessation treatment policiesGraphic health warningsHealth warningsTreatment policyMarketing bansLarge evidence baseControl programsCigarette taxesTobacco control policiesEffect sizeAir lawsSmoking prevalenceSmoking ratesHigh-income countriesQuit attemptsQuit successSmoking behaviorNarrative reviewEvidence baseTobacco policiesMarketing restrictionsMedia campaigns
2016
Has Smoking Cessation Increased? An Examination of the US Adult Smoking Cessation Rate 1990–2014
Méndez D, Tam J, Giovino GA, Tsodikov A, Warner KE. Has Smoking Cessation Increased? An Examination of the US Adult Smoking Cessation Rate 1990–2014. Nicotine & Tobacco Research 2016, 19: 1418-1424. PMID: 27634956, DOI: 10.1093/ntr/ntw239.Peer-Reviewed Original ResearchConceptsSmoking cessation ratesNational Health Interview SurveyCessation ratesSmoking prevalenceSmoking epidemicIndependent population surveysAdult smoking prevalenceHealth Interview SurveyAnnual cessation rateMeta-regression modelsSmoking cessationNSDUH dataQuit ratesNHIS dataDrug useObserved prevalencePrevalenceInterview SurveySmokersNational surveyPopulation surveyEpidemicUnited StatesFindings
2014
Impact of Changing U.S. Demographics on the Decline in Smoking Prevalence, 1980–2010
Tam J, Warner KE, Gillespie BW, Gillespie JA. Impact of Changing U.S. Demographics on the Decline in Smoking Prevalence, 1980–2010. Nicotine & Tobacco Research 2014, 16: 864-866. PMID: 24401731, DOI: 10.1093/ntr/ntt223.Peer-Reviewed Original ResearchConceptsSmoking prevalenceNational Health Interview SurveyTotal smoking prevalenceU.S. smoking prevalenceDistribution of smokersHealth Interview SurveyRace/ethnicity groupsRace/ethnicity distributionRace/ethnicity categoriesSmoking ratesGeneral populationPrevalenceEthnicity distributionInterview SurveyU.S. populationEthnicity groupsAgeDemographicsSmokersSmokingEthnicity categoriesDemographic factorsShare of HispanicsPopulationImportant contributor