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-cigarettesPsychometric 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 frequencyHow 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 ResearchDevelopment 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 symptoms
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 interactionAddictivenessQualitative exploration of longer versus shorter quit attempts among adults using E-Cigarettes for combustible cigarette cessation
Suttiratana S, Morean M, Krishnan-Sarin S, Bold K. Qualitative exploration of longer versus shorter quit attempts among adults using E-Cigarettes for combustible cigarette cessation. Addictive Behaviors 2023, 143: 107710. PMID: 37015170, PMCID: PMC10165882, DOI: 10.1016/j.addbeh.2023.107710.Peer-Reviewed Original ResearchConceptsQuit attemptsE-cigarettesSmoking cigarettesHealth-related harmsShort durationCombustible cigarette useAttempt durationSmoking cessationCigarette cessationMajority of participantsCigarette useCombustible cigarettesE-cigarette devicesHealth concernLonger durationCigarettesMost participantsCessationDurationSocial stigmaAdditional researchAdult experienceAdultsQualitative explorationInterview transcripts
2022
E-cigarette Use Patterns, Flavors, and Device Characteristics Associated With Quitting Smoking Among a U.S. sample of Adults Using E-cigarettes in a Smoking Cessation Attempt
Bold K, O’Malley S, Krishnan-Sarin S, Morean M. E-cigarette Use Patterns, Flavors, and Device Characteristics Associated With Quitting Smoking Among a U.S. sample of Adults Using E-cigarettes in a Smoking Cessation Attempt. Nicotine & Tobacco Research 2022, 25: 954-961. PMID: 36462196, PMCID: PMC10077943, DOI: 10.1093/ntr/ntac276.Peer-Reviewed Original ResearchConceptsE-cigarette useE-cigarettesTobacco regulatory policyLonger durationNicotine concentrationsAbstinence durationNon-tobacco flavorsMultivariable linear regression modelsSmoking cessation attemptE-cigarette use patternsDuration of abstinenceLonger abstinence durationCessation successSmoking cessationCigarette cessationQuitting smokingMultivariable modelCessation attemptsQuit attemptsE-cigarette flavorsSmokingAverage durationAbstinenceAdultsPublic healthCuriosity, 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 ResearchThe Modified E-Cigarette Evaluation Questionnaire: Psychometric Evaluation of an Adapted Version of the Modified Cigarette Evaluation Questionnaire for Use With Adults Who Use Electronic Nicotine Delivery Systems
Morean ME, Bold KW. The Modified E-Cigarette Evaluation Questionnaire: Psychometric Evaluation of an Adapted Version of the Modified Cigarette Evaluation Questionnaire for Use With Adults Who Use Electronic Nicotine Delivery Systems. Nicotine & Tobacco Research 2022, 24: 1396-1404. PMID: 35271732, PMCID: PMC9356680, DOI: 10.1093/ntr/ntac062.Peer-Reviewed Original ResearchConceptsModified Cigarette Evaluation QuestionnaireCigarette Evaluation QuestionnaireAversive effectsEvaluation questionnaireE-cigarettesInternal consistencyGroup differencesSmoking cessation attemptElectronic nicotine delivery systemsExclusive e-cigarette usersConcurrent validityNicotine delivery systemsE-cigarette useMulti-item subscalesE-cigarette usersPsychometric propertiesCurrent smokersCigarette smokingExploratory/confirmatory factor analysisExcellent internal consistencyCessation attemptsFour-factor structureParticipant subgroupsSubjective effectsPsychometric evaluation
2020
First 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 status