2021
Biomarkers 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
E-cigarette, combustible, and smokeless tobacco product use combinations among youth in the united states, 2014–2019
Tam J. E-cigarette, combustible, and smokeless tobacco product use combinations among youth in the united states, 2014–2019. Addictive Behaviors 2020, 112: 106636. PMID: 32932104, DOI: 10.1016/j.addbeh.2020.106636.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentCross-Sectional StudiesElectronic Nicotine Delivery SystemsHumansSmokingTobacco ProductsTobacco UseTobacco, SmokelessUnited StatesConceptsCombustible tobacco useAnnual percent changeNational Youth Tobacco SurveyTobacco useCombustible tobaccoE-cigarettesCombustible usersTobacco productsTobacco use prevalenceCombustible tobacco product useAnnual prevalence estimatesTobacco product useCategories of e-cigarettesYouth Tobacco SurveyYouth e-cigarette usersYouth e-cigarette useSmokeless tobacco productsHS studentsE-cigarette useE-cigarette usersJoinpoint regressionTobacco SurveySmokeless tobaccoPrevalence estimatesUS youthU.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
Students’ Cigarette Smoking and the Perceived Nicotine Content of Their E-cigarettes
Tam J, Warner KE. Students’ Cigarette Smoking and the Perceived Nicotine Content of Their E-cigarettes. American Journal Of Preventive Medicine 2018, 55: 376-383. PMID: 30033026, DOI: 10.1016/j.amepre.2018.04.034.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentCross-Sectional StudiesElectronic Nicotine Delivery SystemsFemaleFlavoring AgentsHumansMaleNicotineSelf ReportStudentsSurveys and QuestionnairesVapingConceptsE-cigarettesCigarette smokingNicotine exposureFrequent smokersNon-current smokersChi-square testE-cigarette useNicotine contentSmoking statusRegular smokersSmoking intensitySmoking frequencySmokersSmoking behaviorBrain developmentSmokingNicotineYouth e-cigarette usePercentage distributionHash oilExposureLarge proportionProportion of studentsSignificant relationshipStatus