Featured Publications
The Potential Impact of Widespread Cessation Treatment for Smokers With Depression
Tam J, Warner KE, Zivin K, Taylor GMJ, Meza R. The Potential Impact of Widespread Cessation Treatment for Smokers With Depression. American Journal Of Preventive Medicine 2021, 61: 674-682. PMID: 34244005, PMCID: PMC8541898, DOI: 10.1016/j.amepre.2021.04.024.Peer-Reviewed Original ResearchConceptsMental health service utilizationHealth service utilizationSmoking cessation treatmentService utilizationCessation treatmentPharmacological treatmentToll of tobaccoU.S. adult smokersPopulation health benefitsMental health settingsService utilization levelsCessation interventionsAdult smokersMajor depressionHealth settingsHealth professionalsPatientsHealth gainsHealth benefitsDepressionTreatmentSmokersDeathInterventionTreatment scenariosUsing 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
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 periodRiskSmokersPopulationSummary 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 ResearchConceptsLong-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 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 parametersSmoking 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 SurveyCohortCessationDurationInitiationYearsBirth 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 differences
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 useUS 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 surveyDeathMalesFemalesPublic 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
E-Cigarettes: Matching Risks With Regulations
Friedman AS, Tam J. E-Cigarettes: Matching Risks With Regulations. American Journal Of Preventive Medicine 2020, 60: 146-150. PMID: 33041096, DOI: 10.1016/j.amepre.2020.07.011.Peer-Reviewed Original ResearchModeling 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 deathU.S. Simulation of Lifetime Major Depressive Episode Prevalence and Recall Error
Tam J, Mezuk B, Zivin K, Meza R. U.S. Simulation of Lifetime Major Depressive Episode Prevalence and Recall Error. American Journal Of Preventive Medicine 2020, 59: e39-e47. PMID: 32446751, PMCID: PMC7375917, DOI: 10.1016/j.amepre.2020.03.021.Peer-Reviewed Original ResearchConceptsMajor depressive episodeDepressive episodeLifetime historyFirst major depressive episodePast major depressive episodeDepression prevention strategiesMental health conditionsSubstantial recall biasLeading causePrevention strategiesDrug useEpisode historyRecall biasHealth conditionsPopulation healthAdultsEpisodesDisease epidemiologyNational surveyPast episodesSurveillance effortsFull burdenHealth dataWomenSurvey assessment