2024
Tobacco control policies discussed on social media: a scoping review.
Dobbs P, Kong G, Lovett K, Henriksen L. Tobacco control policies discussed on social media: a scoping review. Tobacco Control 2024, tc-2024-058824. PMID: 39461851, DOI: 10.1136/tc-2024-058824.Peer-Reviewed Original ResearchTobacco control policiesE-cigarettesTobacco control lawsWHO Framework ConventionRegulate e-cigarettesE-cigarette regulationsWeb of ScienceSmoke-freeStandardised packagingTobacco taxesStudy characteristicsRemoving duplicatesCampus policiesVaping productsControl policiesTobaccoFlavor restrictionsStudy descriptionImplementation practicesFramework ConventionPublished literatureIdentified methodsCINAHLTime pointsSocial mediaUse of cannabis among youth who vape nicotine
Davis D, Bold K, Wu R, Morean M, Kong G, Krishnan-Sarin S. Use of cannabis among youth who vape nicotine. Addictive Behaviors 2024, 160: 108173. PMID: 39326231, DOI: 10.1016/j.addbeh.2024.108173.Peer-Reviewed Original ResearchCannabis useNicotine vapingSmoking cannabisRoute of administrationAssociation of cannabis useNicotine co-useCannabis use frequencyInvestigated cannabis useUse of cannabisVaping nicotineNicotine useCannabis smokingCannabisCessation studyCo-useYouth e-cigarette useE-cigarette useCannabis productsNicotineCessation effortsTargeted treatmentPublic health concernModerate desireYouthE-cigarettesUnintended 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 schools