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 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 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 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 stepResponse
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 healthUse 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 useThe 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
2019
Corrigendum to “Comparing cigarette and e-cigarette dependence and predicting frequency of smoking and e-cigarette use in dual-users of cigarettes and e-cigarettes.” [Addict Behaviour. 87(2018), 92–96]
Morean ME, Krishnan-Sarin S, O'Malley SS. Corrigendum to “Comparing cigarette and e-cigarette dependence and predicting frequency of smoking and e-cigarette use in dual-users of cigarettes and e-cigarettes.” [Addict Behaviour. 87(2018), 92–96]. Addictive Behaviors 2019, 97: 132. PMID: 31155402, DOI: 10.1016/j.addbeh.2019.05.028.Peer-Reviewed Original ResearchYouth generated prevention messages about electronic cigarettes
Cavallo DA, Kong G, Ells DM, Camenga DR, Morean ME, Krishnan-Sarin S. Youth generated prevention messages about electronic cigarettes. Health Education Research 2019, 34: 247-256. PMID: 30753438, PMCID: PMC6424147, DOI: 10.1093/her/cyz001.Peer-Reviewed Original ResearchConceptsE-cigarettesE-cigarette useLong-term health effectsSmoking statusE-cigarette preventionTobacco usePrevention messagesAge groupsElectronic cigarettesMessage themesHealth effectsHealth benefitsCigarettesHealth risksSocial disadvantageFocus groupsPowerful determinantParticipantsSmokersGroupMain themes
2018
Assessing nicotine dependence in adolescent E-cigarette users: The 4-item Patient-Reported Outcomes Measurement Information System (PROMIS) Nicotine Dependence Item Bank for electronic cigarettes
Morean ME, Krishnan-Sarin S, S O'Malley S. Assessing nicotine dependence in adolescent E-cigarette users: The 4-item Patient-Reported Outcomes Measurement Information System (PROMIS) Nicotine Dependence Item Bank for electronic cigarettes. Drug And Alcohol Dependence 2018, 188: 60-63. PMID: 29753155, PMCID: PMC6983293, DOI: 10.1016/j.drugalcdep.2018.03.029.Peer-Reviewed Original ResearchConceptsE-cigarette usersNicotine dependenceRisk factorsAdolescent e-cigarette usersE-cigarette useE-cigarette use onsetPotential risk factorsDependence symptomsNicotine dependence symptomsE-liquid usePast-month cigarette smokingNicotine e-liquidPast-month e-cigarette usersInternal consistencySchool-based surveyCigarette smokingSmoking cigarettesGood internal consistencyIndependent sample t-testCigarette dependenceAdolescent e-cigarette useE-cigarettesElectronic cigarettesUse onsetPROMISSocioeconomic status and adolescent e-cigarette use: The mediating role of e-cigarette advertisement exposure
Simon P, Camenga D, Morean M, Kong G, Bold KW, Cavallo DA, Krishnan-Sarin S. Socioeconomic status and adolescent e-cigarette use: The mediating role of e-cigarette advertisement exposure. Preventive Medicine 2018, 112: 193-198. PMID: 29673887, PMCID: PMC6007030, DOI: 10.1016/j.ypmed.2018.04.019.Peer-Reviewed Original ResearchConceptsE-cigarette useE-cigarette advertisementsSocioeconomic statusAdolescent e-cigarette useE-cigarette advertising exposureAdvertising exposureLow socioeconomic statusE-cigarette advertisingTobacco product useDifferent SES groupsHigher socioeconomic statusRace/ethnicityE-cigarette advertisement exposureCigarette useS groupPast month frequencyAnonymous surveyCigarette advertisingProduct useAdvertisement exposureYouth exposureGreater frequencyExposureAssociationGreater exposureThe Self-Report Habit Index: Assessing habitual marijuana, alcohol, e-cigarette, and cigarette use
Morean ME, DeMartini KS, Foster D, Patock-Peckham J, Garrison KA, Corlett PR, Krystal JH, Krishan-Sarin S, O'Malley SS. The Self-Report Habit Index: Assessing habitual marijuana, alcohol, e-cigarette, and cigarette use. Drug And Alcohol Dependence 2018, 186: 207-214. PMID: 29609132, PMCID: PMC5912163, DOI: 10.1016/j.drugalcdep.2018.01.014.Peer-Reviewed Original ResearchPreferring more e-cigarette flavors is associated with e-cigarette use frequency among adolescents but not adults
Morean ME, Butler ER, Bold KW, Kong G, Camenga DR, Cavallo DA, Simon P, O’Malley S, Krishnan-Sarin S. Preferring more e-cigarette flavors is associated with e-cigarette use frequency among adolescents but not adults. PLOS ONE 2018, 13: e0189015. PMID: 29300749, PMCID: PMC5754053, DOI: 10.1371/journal.pone.0189015.Peer-Reviewed Original ResearchConceptsE-cigarette useE-cigarette usersPast-month e-cigarette usersE-cigarette use frequencyE-cigarette flavorsE-liquidsMore daysFrequent e-cigarette useSchool-based surveyTotal numberFlavor preferencesAdult e-cigarette usersAdolescent e-cigarette useE-cigarettesUse frequencyAnalytic sampleAdultsSample of adolescentsAdolescentsGreater total numberLiquid flavorsConnecticut high schoolsAdult samplesLarge proportionDaysPsychometric Evaluation of the E-cigarette Dependence Scale
Morean M, Krishnan-Sarin S, Sussman S, Foulds J, Fishbein H, Grana R, O’Malley S. Psychometric Evaluation of the E-cigarette Dependence Scale. Nicotine & Tobacco Research 2018, 21: 1556-1564. PMID: 29301008, PMCID: PMC6821314, DOI: 10.1093/ntr/ntx271.Peer-Reviewed Original ResearchConceptsE-cigarette useE-cigarette dependence scalesE-cigarettesE-cigarette usersE-cigarette dependenceNicotine dependenceCigarette smoking statusCurrent cigarette smoking statusDaily e-cigarette usersDependence ScaleExclusive e-cigarette usersConvergent validityLiquid nicotine contentSmoking statusCigarette smokersQuit attemptsLeast weeklyNicotine concentrationsUse outcomesPsychometric evaluationTest-criterion relationshipsCigarettesAnonymous surveyStrong psychometric propertiesSmokers