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 useComparison 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
U.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
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 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 effects
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