2024
Modification of Electronic Nicotine Delivery Systems Among Adolescents and Young Adults.
Kong G, Lee J, Ouellette R, Morean M. Modification of Electronic Nicotine Delivery Systems Among Adolescents and Young Adults. Pediatrics 2024, 154 PMID: 38881359, PMCID: PMC11211691, DOI: 10.1542/peds.2023-063984.Peer-Reviewed Original ResearchElectronic nicotine delivery systemsNicotine e-liquidNicotine delivery systemsDisposable podsPerception of reduced harmE-liquidsDelivery systemYoung adultsNicotine vapingNicotineSocial mediaCannabisLogistic regressionAYAAssess awarenessWeb sitesSource of informationInformation sourcesPrevention effortsDisposable devicesVapingENDS usePotential harmAdolescentsAdolescents and Young Adults Use of Social Media and Following of e-Cigarette Influencers
Lee J, Ouellette R, Morean M, Kong G. Adolescents and Young Adults Use of Social Media and Following of e-Cigarette Influencers. Substance Use & Misuse 2024, 59: 1424-1430. PMID: 38755112, DOI: 10.1080/10826084.2024.2352620.Peer-Reviewed Original ResearchSocial media platformsE-cigarettesMedia platformsPast 30-day e-cigarette useE-cigarette use frequencyYoung adultsSocial media useSocial media influencersSocial media platformE-cigarette useFrequent useMedia useMedia influenceMedia platformSocial MediaAssociated with more frequent useTikTokTobacco regulatory policiesYoung adults' useBinomial logistic regressionPromote e-cigarettesUS National SurveyLogistic regressionAYAAdult use
2022
Curiosity, use, and perceptions of “tobacco-free nicotine” E-cigarettes among U.S. young adults
Camenga DR, Krishnan-Sarin S, Davis DR, Bold KW, Kong G, Morean ME. Curiosity, use, and perceptions of “tobacco-free nicotine” E-cigarettes among U.S. young adults. Preventive Medicine 2022, 164: 107296. PMID: 36216122, PMCID: PMC10010631, DOI: 10.1016/j.ypmed.2022.107296.Peer-Reviewed Original ResearchConceptsTobacco-derived nicotineE-cigarettesYoung adultsU.S. young adultsMultinomial logistic regressionAdjusted modelOngoing surveillanceSame health risksLogistic regressionTobacco productsNicotineAdultsFree nicotineHealth risksYoung adults' perceptionsAdults' perceptionsSurvey questionsOnline surveyEase of access
2021
Predictors of vaping marijuana initiation among US adolescents: Results from the Population Assessment of Tobacco and Health (PATH) study Wave 3 (2015–2016) and Wave 4 (2016–2018)
Lee J, Kong G, Kassas B, Salloum RG. Predictors of vaping marijuana initiation among US adolescents: Results from the Population Assessment of Tobacco and Health (PATH) study Wave 3 (2015–2016) and Wave 4 (2016–2018). Drug And Alcohol Dependence 2021, 226: 108905. PMID: 34304122, DOI: 10.1016/j.drugalcdep.2021.108905.Peer-Reviewed Original ResearchConceptsElectronic nicotine delivery systemsRisk factorsProduct use-associated lung injuryUse-associated lung injuryUS adolescentsMultivariable logistic regressionPublic health levelWave 3Public health concernNicotine delivery systemsKey risk factorsWave 4Lung injuryRisk individualsE-cigarettesLogistic regressionHealth concernSubstance usePopulation AssessmentYouth substance useMulti-level effortsHealth levelMarijuanaMarijuana initiationAdolescents
2020
Differences in JUUL Appeal Among Past and Current Youth JUUL Users
Davis DR, Krishnan-Sarin S, Bold KW, Morean ME, Jackson A, Camenga D, Kong G. Differences in JUUL Appeal Among Past and Current Youth JUUL Users. Nicotine & Tobacco Research 2020, 23: 807-814. PMID: 33247938, PMCID: PMC8095239, DOI: 10.1093/ntr/ntaa246.Peer-Reviewed Original ResearchConceptsPharmacological effectsPast usersPositive pharmacological effectsCurrent usersE-cigarettesAdverse pharmacological effectsCross-sectional surveyPeer useLogistic regressionJUUL usersPrevention effortsUse statusNicotine contentCurrent useCurrent studyConnecticut high schoolsJUUL useJUULProduct characteristicsDifferencesAssociation between preference for using alcohol beverage-named e-liquids and alcohol use among high school youth
Jackson A, Wu R, Kong G, Camenga D, Morean M, Simon P, Bold K, Haeny A, Krishnan-Sarin S. Association between preference for using alcohol beverage-named e-liquids and alcohol use among high school youth. Drug And Alcohol Dependence 2020, 209: 107903. PMID: 32078976, PMCID: PMC7265357, DOI: 10.1016/j.drugalcdep.2020.107903.Peer-Reviewed Original ResearchConceptsAlcohol useE-cigarette usersPast month alcohol useE-liquid flavorsE-liquidsE-cigarettesMonth alcohol usePast monthPast-month binge drinkingPreference of alcoholAlcohol drinking statusAlcohol beveragesPast-month bingeDrinking statusMultinomial logistic regressionBinge drinkingLogistic regressionBingeAssociationAdolescent alcohol useAdolescentsMonthsLiquid flavorsConnecticut high schools
2018
E-cigarette advertising exposure in e-cigarette naïve adolescents and subsequent e-cigarette use: A longitudinal cohort study
Camenga D, Gutierrez KM, Kong G, Cavallo D, Simon P, Krishnan-Sarin S. E-cigarette advertising exposure in e-cigarette naïve adolescents and subsequent e-cigarette use: A longitudinal cohort study. Addictive Behaviors 2018, 81: 78-83. PMID: 29432916, PMCID: PMC5845830, DOI: 10.1016/j.addbeh.2018.02.008.Peer-Reviewed Original ResearchConceptsSubsequent e-cigarette useE-cigarette useE-cigarette advertisingE-cigarettesLogistic regressionE-cigarette advertising exposureWave 2Wave 1School-based cohortCigarette smoking statusLongitudinal cohort studyMultivariate logistic regressionPopular tobacco productAdvertising exposureTobacco use behaviorsCohort studySmoking statusCigarette smokingLongitudinal cohortWhite raceElectronic cigarettesTobacco productsNaïve adolescentsCohortExposure