2024
Unintended exposure to e-liquids and subsequent health outcomes among US youth and adults
Lee J, Kong G, Krishnan-Sarin S, Camenga D. Unintended exposure to e-liquids and subsequent health outcomes among US youth and adults. PLOS ONE 2024, 19: e0308006. PMID: 39078829, PMCID: PMC11288430, DOI: 10.1371/journal.pone.0308006.Peer-Reviewed Original ResearchConceptsOlder adultsE-liquid exposureYoung adultsUS youthAssociated with higher oddsE-cigarette useHealth outcomesHigher oddsAnalytic sampleWarning labelsWave 5E-cigarettesPopulation AssessmentPackaging regulationsAdultsHospitalYouthPrevalenceOutcomesSurvey dataE-liquidsDevice typeOddsHealthUnintended exposureIdentifying e-cigarette content on TikTok: Using a BERTopic Modeling approach
Lee J, Ouellette R, Murthy D, Pretzer B, Anand T, Kong G. Identifying e-cigarette content on TikTok: Using a BERTopic Modeling approach. Nicotine & Tobacco Research 2024, ntae171. PMID: 39001654, DOI: 10.1093/ntr/ntae171.Peer-Reviewed Original ResearchSocial media researchSocial mediaMedia researchTobacco regulatory policiesE-cigarettesAnalysis of hashtagsTopic clustersE-cigarette marketingNon-English languageAmount of social media dataTobacco productsSocial media dataUse of e-cigarettesE-cigarette promotionsTikTokTikTok postsUnique hashtagsHashtagsE-cigarette contentMedia dataCluster textsAnalytic sampleVaping flavorsVaping identityQualitative approachPsychometric evaluation of the Self-Report Habit Index for assessing habitual e-cigarette use behavior in high school adolescents
Morean M, Davis D, Kong G, Bold K, Talley A, Krishnan-Sarin S. Psychometric evaluation of the Self-Report Habit Index for assessing habitual e-cigarette use behavior in high school adolescents. Drug And Alcohol Dependence Reports 2024, 12: 100251. PMID: 39050698, PMCID: PMC11267024, DOI: 10.1016/j.dadr.2024.100251.Peer-Reviewed Original ResearchSelf-Report Habit IndexE-cigarette dependencePsychometric propertiesInternal reliabilityUse behaviorsE-cigarette use behaviorsE-cigarette useHabit IndexLatent factor structureSolid psychometric propertiesHigh school adolescentsE-cigarette flavorsFactor structureConnecticut high schoolsMeasurement invarianceBetween-group differencesHigh school studentsE-cigarettesHabitual behaviorPsychometric evaluationSelf-reportHabitual usePast-month e-cigarette useNicotine-freeVaping frequencyAdolescents 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 useE-cigarette dependence and cooling flavor use are linked among youth
Li W, Davis D, Kong G, Bold K, Morean M, Camenga D, Sharma A, Lee J, Krishnan-Sarin S. E-cigarette dependence and cooling flavor use are linked among youth. Drug And Alcohol Dependence 2024, 260: 111325. PMID: 38744108, DOI: 10.1016/j.drugalcdep.2024.111325.Peer-Reviewed Original ResearchNon-tobacco nicotine E-cigarette use and flavored E-cigarette use among young adults in the United States
Li W, Krishnan-Sarin S, Morean M, Bold K, Davis D, Camenga D, Kong G. Non-tobacco nicotine E-cigarette use and flavored E-cigarette use among young adults in the United States. Preventive Medicine 2024, 184: 108001. PMID: 38735588, DOI: 10.1016/j.ypmed.2024.108001.Peer-Reviewed Original Research
2023
Why young adults use tobacco-free nicotine E-cigarettes: An analysis of qualitative data
Davis D, Rajesh Kumar L, Morean M, Kong G, Bold K, Krishnan-Sarin S, Camenga D. Why young adults use tobacco-free nicotine E-cigarettes: An analysis of qualitative data. Addictive Behaviors 2023, 150: 107925. PMID: 38056193, PMCID: PMC10842804, DOI: 10.1016/j.addbeh.2023.107925.Peer-Reviewed Original ResearchConceptsTobacco-derived nicotineE-cigarettesE-cigarette useYoung adultsNicotine e-cigarettesHuman experimental studiesU.S. young adultsAversive effectsPrevention communicationHealth benefitsHealth reasonsAdultsIndependent ratersNicotineResults ReasonsQualitative studyQualitative dataOnline Qualtrics surveyQualtrics surveyDifferencesPrimary reasonNecessary next stepResponse
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 accessUse and Product Characteristics of “Tobacco Free Nicotine” E-Cigarettes Among Young Adults
Davis DR, Bold KW, Camenga D, Kong G, Jackson A, Lee J, Rajesh-Kumar L, Krishnan-Sarin S, Morean ME. Use and Product Characteristics of “Tobacco Free Nicotine” E-Cigarettes Among Young Adults. Nicotine & Tobacco Research 2022, 25: 379-385. PMID: 35913677, PMCID: PMC9910142, DOI: 10.1093/ntr/ntac188.Peer-Reviewed Original ResearchConceptsE-cigarette useFrequent e-cigarette useE-cigarettesYoung adultsAdjusted modelMore frequent e-cigarette useNicotine pouchesMultivariable adjusted modelsE-cigarette use statusNicotine e-cigarettesLogistic regression modelsBinary logistic regression modelRace/ethnicityU.S. young adultsOnset ageYounger ageBivariate comparisonsNicotine concentrationsTobacco productsAlcohol useAdultsFree nicotineUse statusLifetime frequencyLifetime e-cigarette useDoes it come from tobacco? Young adults’ interpretations of the term “tobacco-free nicotine” in a cross-sectional national survey sample
Morean ME, Bold KW, Davis DR, Kong G, Krishnan-Sarin S, Camenga DR. Does it come from tobacco? Young adults’ interpretations of the term “tobacco-free nicotine” in a cross-sectional national survey sample. PLOS ONE 2022, 17: e0268464. PMID: 35559988, PMCID: PMC9106148, DOI: 10.1371/journal.pone.0268464.Peer-Reviewed Original ResearchCannabis use among youth who vape nicotine E-cigarettes: A qualitative analysis
Davis DR, Bold KW, Kong G, Cavallo DA, Jackson A, Krishnan-Sarin S. Cannabis use among youth who vape nicotine E-cigarettes: A qualitative analysis. Drug And Alcohol Dependence 2022, 234: 109413. PMID: 35339972, PMCID: PMC9018562, DOI: 10.1016/j.drugalcdep.2022.109413.Peer-Reviewed Original ResearchConceptsE-cigarette useE-cigarettesCannabis useHealth concernPsychoactive effectsStrong psychoactive effectsNicotine e-cigarettesFocus groupsPast-month e-cigarette usePatterns of cannabisCessation programmingSecondary data analysisNicotine productsStudy aimCannabisNicotineNicotine vapingGroupReportDual use
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 characteristicsDifferencesInforming the development of adolescent e-cigarette cessation interventions: A qualitative study
Kong G, Bold KW, Cavallo DA, Davis DR, Jackson A, Krishnan-Sarin S. Informing the development of adolescent e-cigarette cessation interventions: A qualitative study. Addictive Behaviors 2020, 114: 106720. PMID: 33162230, PMCID: PMC7785614, DOI: 10.1016/j.addbeh.2020.106720.Peer-Reviewed Original ResearchConceptsNegative moodSocial influenceCessation interventionsLack of motivationQuit experienceCommon withdrawal symptomsSocial normsFocus groupsWithdrawal symptomsAdolescentsMoodFocus group guideSocial reasonsInterventionQualitative studyQuittingNegative health effectsGroup guideCold turkeyE-cigarettesCuesExperienceSchoolsE-cigarette use perceptions that differentiate e-cigarette susceptibility and use among high school students
Burnley A, Bold KW, Kong G, Wu R, Krishnan-Sarin S. E-cigarette use perceptions that differentiate e-cigarette susceptibility and use among high school students. The American Journal Of Drug And Alcohol Abuse 2020, 47: 238-246. PMID: 33058696, PMCID: PMC8184221, DOI: 10.1080/00952990.2020.1826501.Peer-Reviewed Original ResearchFirst tobacco product tried among adolescents based on race/ethnicity and socioeconomic status
Grobman B, Wu R, Jackson A, Bold KW, Morean ME, Camenga DR, Davis DR, Simon P, Krishnan-Sarin S, Kong G. First tobacco product tried among adolescents based on race/ethnicity and socioeconomic status. Addictive Behaviors 2020, 113: 106666. PMID: 33130462, PMCID: PMC8194003, DOI: 10.1016/j.addbeh.2020.106666.Peer-Reviewed Original ResearchConceptsFirst tobacco productRace/ethnicityTobacco productsSocioeconomic statusE-cigarettesLow socioeconomic statusTobacco product useLogistic regression modelsDifferent tobacco productsTobacco product usersMiddle socioeconomic statusMultinomial logistic regression modelsTobacco useGreater oddsPrevention strategiesReference groupAnalytic sampleCross-sectional survey dataProduct useCigarettesRegression modelsBluntEthnicityNon-Hispanic white studentsConnecticut high schoolsTrajectories of E-Cigarette and Conventional Cigarette Use Among Youth
Bold K, Kong G, Camenga D, Simon P, Cavallo D, Morean M, Krishnan-Sarin S. Trajectories of E-Cigarette and Conventional Cigarette Use Among Youth. 2020, 46-52. DOI: 10.1542/9781610024693-part01-ch08.Peer-Reviewed Original ResearchAssociation 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 schoolsTransitions across tobacco use profiles among adolescents: results from the Population Assessment of Tobacco and Health (PATH) study waves 1 and 2
Simon P, Buta E, Gueorguieva R, Kong G, Morean ME, Camenga D, Bold KW, Krishnan‐Sarin S. Transitions across tobacco use profiles among adolescents: results from the Population Assessment of Tobacco and Health (PATH) study waves 1 and 2. Addiction 2020, 115: 740-747. PMID: 31618491, PMCID: PMC7361287, DOI: 10.1111/add.14828.Peer-Reviewed Original ResearchConceptsUse of cigarettesE-cigarettesHealth Study Waves 1Wave 1US youthProbability of progressionUsers of cigarettesNon-institutionalized populationTobacco use statusTobacco use profilesSocio-demographic predictorsRate of useCurrent useProspective surveyMore tobacco productsLatent transition analysisSmokeless tobaccoNicotine productsHealth StudyUS civilianParental education levelTobacco productsCigarettesPopulation AssessmentUse statusAdapting Research Protocols in Response to E-Cigarette, or Vaping, Product Use Associated Lung Injury: A Response to CDC Recommendations for E-Cigarette Trials
Davis DR, Fucito LM, Kong G, Jackson A, Bold KW, Baldassarri SR, Krishnan-Sarin S, O’Malley S. Adapting Research Protocols in Response to E-Cigarette, or Vaping, Product Use Associated Lung Injury: A Response to CDC Recommendations for E-Cigarette Trials. Nicotine & Tobacco Research 2020, 23: 619-620. PMID: 31903483, PMCID: PMC7885772, DOI: 10.1093/ntr/ntaa002.Commentaries, Editorials and Letters