2024
Understanding use of e-cigarettes for smoking cessation among a sample of US adults
Sharma A, Morean M, Krishnan-Sarin S, O’Malley S, Bold K. Understanding use of e-cigarettes for smoking cessation among a sample of US adults. Nicotine & Tobacco Research 2024, ntae251. PMID: 39475073, DOI: 10.1093/ntr/ntae251.Peer-Reviewed Original ResearchQuit smokingNicotine replacement treatmentSmoking cessation aidE-cigarettesSmoking cessationCessation aidsSmoking cigarettesCessation attemptsSample of US adultsMajority of participantsSmoking cessation attemptsE-cigarette useComponents of e-cigarettesTime of surveyCessation supportUS adultsRegular cigarette smokingSmoking abstinenceRelapse rateNicotine patchSmokingReplacement treatmentNicotine-freeCigarette smokingOnline surveyUse 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-cigarettesWords matter: descriptors for nicotine that comes from tobacco and descriptors for synthetic nicotine that is created in a laboratory differentially impact understanding of nicotine source and risk perceptions
Morean M, O'Malley S, Krishnan-Sarin S. Words matter: descriptors for nicotine that comes from tobacco and descriptors for synthetic nicotine that is created in a laboratory differentially impact understanding of nicotine source and risk perceptions. Tobacco Control 2024, tc-2024-058649. PMID: 39168594, DOI: 10.1136/tc-2024-058649.Peer-Reviewed Original ResearchUse of ENDS devices and modifications to vape cannabis among adolescents and young adults who also vape nicotine
Ouellette R, Morean M, Lee J, Kong G. Use of ENDS devices and modifications to vape cannabis among adolescents and young adults who also vape nicotine. Addictive Behaviors 2024, 157: 108099. PMID: 39003977, DOI: 10.1016/j.addbeh.2024.108099.Peer-Reviewed Original ResearchElectronic nicotine delivery systemsVaping cannabisCo-use of cannabisVape pensElectronic nicotine delivery systems useVaping devicesMultivariate logistic regression modelNicotine delivery systemsYoung adultsElectronic nicotine delivery systems devicesCannabis useLogistic regression modelsNicotine liquidVaping nicotineNicotineCannabis concentratesCannabisCo-useAYAE-liquidsVaping productsSocio-economic statusDelivery systemTobacco productsDaysW36 Cooling Flavors Use and E-Cigarette Nicotine Dependence Among Youth
Li W, Davis D, Bold K, Camenga D, Jackson A, Kong G, Lee J, Morean M, Sharma A, Krishnan-Sarin S. W36 Cooling Flavors Use and E-Cigarette Nicotine Dependence Among Youth. Drug And Alcohol Dependence 2024, 260: 110654. DOI: 10.1016/j.drugalcdep.2023.110654.Peer-Reviewed Original ResearchW126 Understanding Cannabis Use Among Teens who Vape Nicotine
Davis D, Wu R, Bold K, Kong G, Morean M, Krishnan-Sarin S. W126 Understanding Cannabis Use Among Teens who Vape Nicotine. Drug And Alcohol Dependence 2024, 260: 110744. DOI: 10.1016/j.drugalcdep.2023.110744.Peer-Reviewed Original ResearchPsychometric 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 frequencyModification 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 harmAdolescentsHow healthcare providers and the right information may play a critical role in quitting success among smokers interested in using e-cigarettes for quitting: Results from a survey of U.S adults
Sharma A, King J, Krishnan-Sarin S, O’Malley S, Morean M, Bold K. How healthcare providers and the right information may play a critical role in quitting success among smokers interested in using e-cigarettes for quitting: Results from a survey of U.S adults. PLOS ONE 2024, 19: e0303245. PMID: 38753868, PMCID: PMC11098412, DOI: 10.1371/journal.pone.0303245.Peer-Reviewed Original ResearchConceptsHealthcare providersQuit smokingE-cigarettesBenefits of e-cigarettesPromote smoking cessationPotential public health benefitsGlobal public health priorityPublic health priorityReduce cigarette smokingIncrease quit ratesSmoking cessation attemptsCessation supportNicotine concentrationsHealth prioritySource of informationQuit ratesUS adultsU.S adultsSmoking cessationQuit successCessation attemptsHealthcareProvidersSmokingCigarette smokingAdolescents 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 ResearchSources 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 platformsExposureDevelopment and Psychometric Evaluation of a Novel Measure of Nicotine E-cigarette Withdrawal for Use With Adolescents and Young Adults
Morean M, Rajeshkumar L, Krishnan-Sarin S. Development and Psychometric Evaluation of a Novel Measure of Nicotine E-cigarette Withdrawal for Use With Adolescents and Young Adults. Nicotine & Tobacco Research 2024, ntae095. PMID: 38695371, DOI: 10.1093/ntr/ntae095.Peer-Reviewed Original ResearchNicotine withdrawalNegative affectWithdrawal ScaleE-cigarette dependenceCessation attemptsRetrospective measuresPsychometric evaluationYoung adultsIncremental validity analysesNicotine product usePreliminary psychometric evaluationPsychometrically-sound measureScalar measurement invarianceE-cigarette useE-cigarettesNicotine e-cigarettesWithdrawal itemsWithdrawal scoresMeasurement invariancePsychometric propertiesConcurrent validityInternal reliabilityPhysical symptomsNicotineNegative physical symptomsPsychometric Evaluation of the Modified E-cigarette Evaluation Questionnaire for Use With High School Adolescents and Young Adults
Morean M. Psychometric Evaluation of the Modified E-cigarette Evaluation Questionnaire for Use With High School Adolescents and Young Adults. Nicotine & Tobacco Research 2024, 26: 1420-1428. PMID: 38605432, DOI: 10.1093/ntr/ntae076.Peer-Reviewed Original ResearchModified Cigarette Evaluation QuestionnaireFour-factor structureBetween-group differencesMeasurement invarianceConcurrent relationshipsYoung adultsInternal consistencyEvidence of concurrent validitySubjective responsesFive-factor structureTest-criterion relationshipsPsychometrically-sound measureScalar measurement invarianceEffects of e-cigarette useNicotine e-cigarettesHigh school adolescentsCraving reductionFive-FactorEvaluation questionnaireSubjective effectsVaping frequencyE-cigarette useReduced aversionScalar invariancePsychometric propertiesAssociation Between Exposure to E-Cigarette Content Across 10 Social Media Sites and Youth E-Cigarette Use
Rajeshkumar L, Morean M, Kong G, Bold K, Krishnan-Sarin S. Association Between Exposure to E-Cigarette Content Across 10 Social Media Sites and Youth E-Cigarette Use. 2016 49th Hawaii International Conference On System Sciences (HICSS) 2024 DOI: 10.24251/hicss.2023.462.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 stepResponseIncluding the term ‘tobacco-free nicotine’ in the nicotine addiction warning label mandated by the US Food and Drug Administration alters risk perceptions and use intentions
Morean M, Gueorguieva R, O'Malley S, Krishnan-Sarin S. Including the term ‘tobacco-free nicotine’ in the nicotine addiction warning label mandated by the US Food and Drug Administration alters risk perceptions and use intentions. Tobacco Control 2023, tc-2023-058133. PMID: 37898544, PMCID: PMC11055938, DOI: 10.1136/tc-2023-058133.Peer-Reviewed Original ResearchWarning labelsParticipant characteristicsUS FoodMultivariable logistic regressionNicotine e-cigarettesPublic health impactAdministration altersMost harmAddictive chemicalNicotine productsNicotine addictionDrug AdministrationAnonymous online surveyE-cigarettesLogistic regressionNicotineYoung individualsVulnerable populationsHealth impactsFDAPublic healthRisk perceptionParticipantsSignificant interactionAddictivenessPrioritizing Common Terminology and Measures to Advance Research on Oral Nicotine Product Use
Hrywna M, Ozga J, Stanton C, Chaffee B, Delnevo C, Fucito L, Jabba S, Morean M, Tackett A. Prioritizing Common Terminology and Measures to Advance Research on Oral Nicotine Product Use. Nicotine & Tobacco Research 2023, 26: 645-648. PMID: 37846819, PMCID: PMC11033571, DOI: 10.1093/ntr/ntad206.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 Research