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 postsAdvances in Social Media Research to Reduce Tobacco Use
Kong G, Blake K, Romer D. Advances in Social Media Research to Reduce Tobacco Use. Nicotine & Tobacco Research 2024, 26: s1-s2. PMID: 38366335, PMCID: PMC10873487, DOI: 10.1093/ntr/ntad250.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 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 ResearchA non-randomized pilot study protocol of a novel social support intervention for individuals in early recovery from hazardous alcohol use
McCurdy L, Kong G, Krishnan-Sarin S, Kiluk B, Potenza M. A non-randomized pilot study protocol of a novel social support intervention for individuals in early recovery from hazardous alcohol use. PLOS ONE 2023, 18: e0292293. PMID: 37796784, PMCID: PMC10553253, DOI: 10.1371/journal.pone.0292293.Peer-Reviewed Original ResearchConceptsRecovery support servicesHazardous alcohol useSocial support interventionsAlcohol usePilot studyEarly recoverySupport interventionsPilot study protocolMixed methods pilot studyOnline social support interventionQuality of lifeSupport servicesSelf-reported changesPrimary outcomeSecondary outcomesStudy protocolHazardous alcoholPsychometric 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 Portrayal of Premium Cigar Selling Propositions in Lifestyle Magazines: A Content Analysis
Sterling K, Franco N, Lee E, Tang C, Geller A, Mead A, Anderson M, Kong G. The Portrayal of Premium Cigar Selling Propositions in Lifestyle Magazines: A Content Analysis. Nicotine & Tobacco Research 2023, 25: s69-s75. PMID: 37506232, PMCID: PMC10380182, DOI: 10.1093/ntr/ntad005.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 ResearchAwareness, susceptibility, and use of oral nicotine pouches and comparative risk perceptions with smokeless tobacco among young adults in the United States
Morean M, Bold K, Davis D, Kong G, Krishnan-Sarin S, Camenga D. Awareness, susceptibility, and use of oral nicotine pouches and comparative risk perceptions with smokeless tobacco among young adults in the United States. PLOS ONE 2023, 18: e0281235. PMID: 36716297, PMCID: PMC9886243, DOI: 10.1371/journal.pone.0281235.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 access“Tobacco-free” Nicotine Pouches: Risk Perceptions, Awareness, Susceptibility, and Use Among Young Adults in the United States
Morean ME, Bold KW, Davis DR, Kong G, Krishnan-Sarin S, Camenga DR. “Tobacco-free” Nicotine Pouches: Risk Perceptions, Awareness, Susceptibility, and Use Among Young Adults in the United States. Nicotine & Tobacco Research 2022, 25: 143-150. PMID: 36000776, PMCID: PMC9717372, DOI: 10.1093/ntr/ntac204.Peer-Reviewed Original ResearchUse 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 use