Featured Publications
Using the Past to Understand the Future of U.S. and Global Smoking Disparities: A Birth Cohort Perspective
Tam J, Levy D, Feuer E, Jeon J, Holford T, Meza R. Using the Past to Understand the Future of U.S. and Global Smoking Disparities: A Birth Cohort Perspective. American Journal Of Preventive Medicine 2023, 64: s1-s10. PMID: 36781373, PMCID: PMC10033336, DOI: 10.1016/j.amepre.2022.12.003.Peer-Reviewed Original Research
2023
Summary and Concluding Remarks: Patterns of Birth Cohort‒Specific Smoking Histories
Levy D, Tam J, Jeon J, Holford T, Fleischer N, Meza R. Summary and Concluding Remarks: Patterns of Birth Cohort‒Specific Smoking Histories. American Journal Of Preventive Medicine 2023, 64: s72-s79. PMID: 36935130, PMCID: PMC11193149, DOI: 10.1016/j.amepre.2022.12.007.Peer-Reviewed Original ResearchConceptsRace/ethnicitySmoking patternsCohort methodologyTobacco control strategiesMortality RRSmoking historyMiddle-income countriesWorking GroupSmoking trendsHealth disparitiesCancer interventionTobacco controlCohort approachPublic healthEducation groupFamily incomeGroupEthnicitySociodemographic analysisSmokingEducational attainmentMortality Relative Risks by Smoking, Race/Ethnicity, and Education
Jeon J, Inoue-Choi M, Mok Y, McNeel T, Tam J, Freedman N, Meza R. Mortality Relative Risks by Smoking, Race/Ethnicity, and Education. American Journal Of Preventive Medicine 2023, 64: s53-s62. PMID: 36775754, PMCID: PMC11186465, DOI: 10.1016/j.amepre.2022.12.006.Peer-Reviewed Original ResearchMeSH KeywordsEducational StatusEthnicityHumansProportional Hazards ModelsRisk FactorsSmokingUnited StatesConceptsLong-term quittersMortality relative riskRelative riskRace/ethnicityCurrent smokersRecent quittersMortality rateHigh education groupCox proportional hazards regression modelProportional hazards regression modelsNon-Hispanic Black individualsNational Health Interview SurveyHighest RR estimateCause mortality ratesRelative mortality riskSociodemographic groupsDifferent sociodemographic groupsNon-Hispanic white individualsHazards regression modelsSmoking-related health disparitiesHealth Interview SurveyGreater relative riskEducation groupCurrent smokingCigarette smokingPatterns 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 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 ResearchMeSH KeywordsCigarette SmokingHumansKentuckyPrevalenceSmoking CessationSurveys and QuestionnairesTobacco UseUnited StatesConceptsPack 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 Smoking Trends Among Young Adults with Serious Psychological Distress: 1997–2018
Friedman AS, Tam J, Busch SH. US Smoking Trends Among Young Adults with Serious Psychological Distress: 1997–2018. Journal Of General Internal Medicine 2021, 37: 2110-2112. PMID: 34378116, PMCID: PMC9198120, DOI: 10.1007/s11606-021-07013-y.Peer-Reviewed Original ResearchAn Expert Elicitation on the Effects of a Ban on Menthol Cigarettes and Cigars in the United States
Levy DT, Cadham CJ, Sanchez-Romero LM, Knoll M, Travis N, Yuan Z, Li Y, Mistry R, Douglas CE, Tam J, Sertkaya A, Warner KE, Meza R. An Expert Elicitation on the Effects of a Ban on Menthol Cigarettes and Cigars in the United States. Nicotine & Tobacco Research 2021, 23: 1911-1920. PMID: 34097061, PMCID: PMC8496475, DOI: 10.1093/ntr/ntab121.Peer-Reviewed Original ResearchConceptsMenthol smokersTobacco useMenthol cigarettesCombustible tobacco useUS FoodDrug AdministrationCigarette useE-cigarettesProduct useCurrent menthol smokersMenthol cigarette useRegular tobacco useNicotine product useGreater reductionCombustible tobacco productsTobacco use transitionsAfrican AmericansTobacco product useCombustible useCurrent smokersNonmenthol smokersCombustible tobacco product useMenthol banSmokeless tobaccoAge 35Biomarkers of Potential Harm among Adult Cigarette and Smokeless Tobacco Users in the PATH Study Wave 1 (2013–2014): A Cross-sectional Analysis
Chang JT, Vivar JC, Tam J, Hammad HT, Christensen CH, van Bemmel DM, Das B, Danilenko U, Chang CM. Biomarkers of Potential Harm among Adult Cigarette and Smokeless Tobacco Users in the PATH Study Wave 1 (2013–2014): A Cross-sectional Analysis. Cancer Epidemiology Biomarkers & Prevention 2021, 30: 1320-1327. PMID: 33947655, PMCID: PMC8254764, DOI: 10.1158/1055-9965.epi-20-1544.Peer-Reviewed Original ResearchConceptsFormer smokersTobacco usersSmokeless tobaccoST usersDual usersCigarette smokersPATH Study Waves 1Exclusive cigarette smokersShort-term health effectsHigher sICAM-1Geometric mean ratiosSmokeless tobacco usersPotential harmOxidative stress levelsOxidative stress biomarkersCross-sectional analysisWave 1Current smokersSICAM-1Oral cancerBiomarker levelsTobacco use groupsCardiovascular diseaseAdult cigaretteTobacco usePublic health implications of vaping in the USA: the smoking and vaping simulation model
Levy DT, Tam J, Sanchez-Romero LM, Li Y, Yuan Z, Jeon J, Meza R. Public health implications of vaping in the USA: the smoking and vaping simulation model. Population Health Metrics 2021, 19: 19. PMID: 33865410, PMCID: PMC8052705, DOI: 10.1186/s12963-021-00250-7.Peer-Reviewed Original ResearchConceptsPublic health implicationsCessation ratesNVP useRelative riskMortality rateHealth implicationsPotential public health impactRespective mortality ratesPublic health impactPublic health benefitsPublic health stakeholdersPublic health gainsSmoking cessationAverted deathsPublic health harmsSmokingExtensive sensitivity analysisHealth gainsHealth harmsHealth stakeholdersHealth benefitsInitiation rateCohort approachDeathHealth impactsComparison of e‐cigarette use prevalence and frequency by smoking status among youth in the United States, 2014–19
Tam J, Brouwer AF. Comparison of e‐cigarette use prevalence and frequency by smoking status among youth in the United States, 2014–19. Addiction 2021, 116: 2486-2497. PMID: 33565662, PMCID: PMC8328922, DOI: 10.1111/add.15439.Peer-Reviewed Original Research
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
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 historyMortalityCancerProjecting 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 lawsDeath
2016
Modeling the Effects of E-cigarettes on Smoking Behavior
Cherng ST, Tam J, Christine PJ, Meza R. Modeling the Effects of E-cigarettes on Smoking Behavior. Epidemiology 2016, 27: 819-826. PMID: 27093020, PMCID: PMC5039081, DOI: 10.1097/ede.0000000000000497.Peer-Reviewed Original ResearchConceptsE-cigarette useSmoking behaviorE-cigarettesSmoking statusSmoking cessationCigarette smoking behaviorElectronic cigarette useE-cigarette use prevalenceCurrent smokersE-cigarette regulationsLong-term effectsSmoking outcomesSmoking initiationCigarette useUse prevalencePrevalenceSmokersCessationCurrent knowledgeOutcomesConsiderable controversyInitiationPossible effectsStatusUnknown effectsHas 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 StatesFindingsSmoking and the Reduced Life Expectancy of Individuals With Serious Mental Illness
Tam J, Warner KE, Meza R. Smoking and the Reduced Life Expectancy of Individuals With Serious Mental Illness. American Journal Of Preventive Medicine 2016, 51: 958-966. PMID: 27522471, DOI: 10.1016/j.amepre.2016.06.007.Peer-Reviewed Original ResearchConceptsSerious psychological distressSerious mental illnessReduced life expectancyCurrent smokersMental illnessSPD statusLife expectancySerious mental illness experienceNational Health Interview SurveyMortality hazard ratioNational Death IndexRisk of deathThird of deathsHigh smoking ratesHealth Interview SurveySmoking-attributable fractionsMental illness experienceYears of lifeFormer smokingCurrent smokingHazard ratioDeath IndexSmoking ratesCox modelGeneral population
2015
A systematic review of transitions between cigarette and smokeless tobacco product use in the United States
Tam J, Day HR, Rostron BL, Apelberg BJ. A systematic review of transitions between cigarette and smokeless tobacco product use in the United States. BMC Public Health 2015, 15: 258. PMID: 25849604, PMCID: PMC4377056, DOI: 10.1186/s12889-015-1594-8.Peer-Reviewed Original ResearchConceptsExclusive smokeless tobacco useSmokeless tobacco useExclusive cigarette smokingTobacco useSmokeless tobaccoCigarette smokingCigarette useCessation programsSystematic reviewSmokeless tobacco cessation programExclusive smokingImportant public health issueTobacco use categoriesTobacco cessation programAdult study populationNon-English language studiesSmokeless tobacco product useCigarette smoking behaviorPublic health issueTobacco product useTobacco use behaviorsProportion of adultsWeb of ScienceClinical trialsClinical studies
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