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 exposureSources of exposure to non-tobacco nicotine electronic nicotine delivery systems and associations with susceptibility to use and use behaviors among young adults in the United States
Li W, Kong G, Davis D, Bold K, Krishnan-Sarin S, Camenga D, Morean M. Sources of exposure to non-tobacco nicotine electronic nicotine delivery systems and associations with susceptibility to use and use behaviors among young adults in the United States. PLOS ONE 2024, 19: e0299533. PMID: 38718067, PMCID: PMC11078344, DOI: 10.1371/journal.pone.0299533.Peer-Reviewed Original ResearchConceptsElectronic nicotine delivery systemsAssociated with greater oddsNicotine delivery systemsGreater oddsYoung adultsTobacco product useTobacco-free nicotineDelivery systemLifetime useENDS usePast-monthExamined associationsNicotineSocial mediaPrevention effortsOddsAdultsSusceptibilityAnalyzed online survey dataStreaming platformsExposureUsing Computer Vision to Detect E-cigarette Content in TikTok Videos
Murthy D, Ouellette R, Anand T, Radhakrishnan S, Mohan N, Lee J, Kong G. Using Computer Vision to Detect E-cigarette Content in TikTok Videos. Nicotine & Tobacco Research 2024, 26: s36-s42. PMID: 38366342, PMCID: PMC10873490, DOI: 10.1093/ntr/ntad184.Peer-Reviewed Original ResearchConceptsE-cigarette-related contentSocial media platformsVideo-based social media platformsMedia platformsComputer vision modelsAverage F1 scoreComputer vision methodsComputer vision techniquesMachine learning modelsText-based approachComputer visionObject detectionAnnotated imagesVisual contentSocial mediaF1 scoreVision techniquesRecall valuesVision methodsVision modelsSocial media platformLearning modelsVideoComputerTikTok posts
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 stepResponseElectronic Nicotine Delivery Systems and E-Liquid Modifications to Vape Cannabis Depicted in Online Videos
Ouellette R, Selino S, Kong G. Electronic Nicotine Delivery Systems and E-Liquid Modifications to Vape Cannabis Depicted in Online Videos. JAMA Network Open 2023, 6: e2341075. PMID: 37917060, PMCID: PMC10623192, DOI: 10.1001/jamanetworkopen.2023.41075.Peer-Reviewed Original ResearchContent Analysis of YouTube Videos Related to E-Cigarettes and COVID-19
Lee J, Ouellette R, Murthy D, Kong G. Content Analysis of YouTube Videos Related to E-Cigarettes and COVID-19. Substance Use & Misuse 2023, 59: 143-149. PMID: 37798867, PMCID: PMC10841344, DOI: 10.1080/10826084.2023.2262027.Peer-Reviewed Original ResearchPsychometric evaluation of the sensory e-cigarette expectancies scale for use with adolescents
Morean M, Davis D, Kong G, Bold K, Krishnan-Sarin S. Psychometric evaluation of the sensory e-cigarette expectancies scale for use with adolescents. Addictive Behaviors 2023, 148: 107869. PMID: 37778234, PMCID: PMC10623380, DOI: 10.1016/j.addbeh.2023.107869.Peer-Reviewed Original ResearchSocial Media Use and Subsequent E-Cigarette Susceptibility, Initiation, and Continued Use Among US Adolescents
Lee J, Krishnan-Sarin S, Kong G. Social Media Use and Subsequent E-Cigarette Susceptibility, Initiation, and Continued Use Among US Adolescents. Preventing Chronic Disease 2023, 20: e78. PMID: 37676857, PMCID: PMC10487785, DOI: 10.5888/pcd20.220415.Peer-Reviewed Original ResearchThe Promotion of Premium Cigars on Social Media
Kong G, Lee J, Celentano M, Tang C, Geller A, Mead A, Sterling K. The Promotion of Premium Cigars on Social Media. Nicotine & Tobacco Research 2023, 25: 59-64. PMID: 37506234, PMCID: PMC10380185, DOI: 10.1093/ntr/ntad007.Peer-Reviewed Original ResearchConceptsMarketing themesSocial mediaMarketing restrictionsBrand promotionMarketing messagesBrandsCigar brandsPromotional contentProduct featuresMedia promotionSocial media platformsTobacco industryMarketingSocial media accountsSocial media postsMedia platformsIndustryRecent postsPromotionMedia accountsMedia postsDiverse themesNovel themesDiscountInnovationA review of social media platform policies that address cannabis promotion, marketing and sales
Berg C, LoParco C, Cui Y, Pannell A, Kong G, Griffith L, Romm K, Yang Y, Wang Y, Cavazos-Rehg P. A review of social media platform policies that address cannabis promotion, marketing and sales. Substance Abuse Treatment, Prevention, And Policy 2023, 18: 35. PMID: 37337216, PMCID: PMC10278361, DOI: 10.1186/s13011-023-00546-x.Peer-Reviewed Original ResearchConceptsSocial mediaYoung adultsCannabis/marijuanaCannabis-derived productsSocial media sitesCannabis marketingMedia policyGeneral communityMarketing exposureInductive thematic analysisMedia sitesCannabis-related policiesResearch team membersDrug-related contentUnderage accessLack policiesPlatform policiesProminent platformAdultsSpecific contentGreater specificityThematic analysisExposureDescriptive analysisAdvertisingSocial media use and cannabis vaping initiation among US youth
Lee J, Krishnan-Sarin S, Kong G. Social media use and cannabis vaping initiation among US youth. Drug And Alcohol Dependence 2023, 249: 109949. PMID: 37290171, PMCID: PMC10330929, DOI: 10.1016/j.drugalcdep.2023.109949.Peer-Reviewed Original ResearchConceptsSocial media useMedia useDaily social media useSocial mediaSocial media accountsInitiation of cannabisMedia accountsMultivariable logistic regression analysisMultivariable logistic regression modelWave 4Evidence of cannabisYouth respondentsUS youthYouthLogistic regression analysisWave 5Logistic regression modelsMediumRisk factorsCannabis vapingConsistent surveillancePrevention effortsAnalytic sampleCannabisRegression analysisAccurately classifying cannabis blunt use as tobacco-cannabis co-use versus exclusive cannabis use
Morean M, Kong G, Bold K, Davis D, Krishnan-Sarin S. Accurately classifying cannabis blunt use as tobacco-cannabis co-use versus exclusive cannabis use. Drug And Alcohol Dependence 2023, 249: 109941. PMID: 37270936, PMCID: PMC10330737, DOI: 10.1016/j.drugalcdep.2023.109941.Peer-Reviewed Original ResearchThe first nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths
Simon P, Buta E, Jackson A, Camenga D, Kong G, Morean M, Bold K, Davis D, Krishnan-Sarin S, Gueorguieva R. The first nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths. Preventive Medicine 2023, 169: 107437. PMID: 36731754, PMCID: PMC10507373, DOI: 10.1016/j.ypmed.2023.107437.Peer-Reviewed Original ResearchConceptsNicotine product useSymptoms of dependenceNicotine dependenceMultiple product useSmokeless tobaccoNicotine productsProduct useSeparate multinomial logistic regression modelsHealth Study Waves 1Wave 1Smokeless tobacco usersHigher nicotine dependence scoresNicotine dependence scoresDemographic factorsLogistic regression modelsMultinomial logistic regression modelsMultivariable modelTobacco usersHigh riskDependence scoresSymptomsGreater likelihoodUse statusWave 4Regression models
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 accessUnderstanding e-cigarette content and promotion on YouTube through machine learning
Kong G, Schott AS, Lee J, Dashtian H, Murthy D. Understanding e-cigarette content and promotion on YouTube through machine learning. Tobacco Control 2022, 32: 739-746. PMID: 35504690, PMCID: PMC9630169, DOI: 10.1136/tobaccocontrol-2021-057243.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 useAn Exploration of e-Cigarette–Related Search Items on YouTube: Network Analysis
Dashtian H, Murthy D, Kong G. An Exploration of e-Cigarette–Related Search Items on YouTube: Network Analysis. Journal Of Medical Internet Research 2022, 24: e30679. PMID: 35084353, PMCID: PMC8832267, DOI: 10.2196/30679.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentElectronic Nicotine Delivery SystemsHumansSmokersSocial MediaTobacco ProductsVapingConceptsRule-based classificationInformation networksRule-based classification approachE-cigarette-related contentBetweenness centralityDistinct videosLeast connectionsSearch resultsClassification approachUser perceptionVideoSearch itemsNetwork modelingNetworkYouTubeSocial mediaSimilar wordsUnderlying structureNodesSimilar meaningNovel methodClassificationNetwork analysisGatewayLevel of importanceE-cigarette device type and combustible tobacco use: Results from a pooled analysis of 10,482 youth
Kong G, Chaffee BW, Wu R, Krishnan-Sarin S, Liu F, Leventhal AM, McConnell R, Barrington-Trimis J. E-cigarette device type and combustible tobacco use: Results from a pooled analysis of 10,482 youth. Drug And Alcohol Dependence 2022, 232: 109279. PMID: 35063841, PMCID: PMC8885961, DOI: 10.1016/j.drugalcdep.2022.109279.Peer-Reviewed Original Research
2021
Psychometric Evaluation of the Short-Form Vaping Consequences Questionnaire for Use With High School Adolescents Who Use and Do Not Use E-cigarettes
Morean ME, Davis DR, Bold KW, Kong G, Jackson A, Lee J, Kumar L, Krishnan-Sarin S. Psychometric Evaluation of the Short-Form Vaping Consequences Questionnaire for Use With High School Adolescents Who Use and Do Not Use E-cigarettes. Nicotine & Tobacco Research 2021, 24: 699-709. PMID: 34791432, PMCID: PMC8962724, DOI: 10.1093/ntr/ntab237.Peer-Reviewed Original ResearchSchool-based E-cigarette cessation programs: What do youth want?
Bold K, Kong G, Cavallo D, Davis D, Jackson A, Krishnan-Sarin S. School-based E-cigarette cessation programs: What do youth want? Addictive Behaviors 2021, 125: 107167. PMID: 34753093, PMCID: PMC8629945, DOI: 10.1016/j.addbeh.2021.107167.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentElectronic Nicotine Delivery SystemsFemaleHumansMaleSchoolsSmokersTobacco ProductsVapingConceptsConcentration/attentionCessation programsQualitative themesHigh school youthSchool youthIntervention developmentYouthE-cigarette usePersonal anecdotesFocus groupsCurrent e-cigarette usersRewardPerceptionDeductive approachSkillsFall 2019AbstinenceApathyInaccurate reportingThemesProgramEmbarrassmentE-cigarette usersAttention