2024
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
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 smokingSources 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 ResearchMeSH KeywordsAdolescentAdultElectronic Nicotine Delivery SystemsFemaleHumansMaleNicotineSocial MediaSurveys and QuestionnairesUnited StatesYoung AdultConceptsElectronic nicotine delivery systemsAssociated with greater oddsNicotine delivery systemsGreater oddsYoung adultsTobacco product useTobacco-free nicotineDelivery systemLifetime useENDS usePast-monthExamined associationsNicotineSocial mediaPrevention effortsOddsAdultsSusceptibilityAnalyzed online survey dataStreaming platformsExposure
2023
Psychometric 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 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 Research
2022
The Modified Cigarette Evaluation Questionnaire: Psychometric properties of the originally-proposed five-factor structure and a novel four-factor structure for use with adults who currently smoke cigarettes
Morean M, Bold K. The Modified Cigarette Evaluation Questionnaire: Psychometric properties of the originally-proposed five-factor structure and a novel four-factor structure for use with adults who currently smoke cigarettes. Drug And Alcohol Dependence 2022, 241: 109684. PMID: 36371995, PMCID: PMC9772171, DOI: 10.1016/j.drugalcdep.2022.109684.Peer-Reviewed Original ResearchMeSH KeywordsAdultElectronic Nicotine Delivery SystemsHumansPsychometricsReproducibility of ResultsSmokingSurveys and QuestionnairesTobacco ProductsConceptsModified Cigarette Evaluation QuestionnaireCigarette Evaluation QuestionnaireGroup differencesPsychometric propertiesSmoking-related characteristicsEvaluation questionnaireSmoking characteristicsAversive effectsFour-factor structurePrior trialsParticipant subgroupsKey psychometric propertiesLatent factor structureStrong psychometric propertiesFive-factor structureAdultsInternal consistencyCigarettesTest-criterion validitySecondary testFactor structureReplication sampleAdditional researchMeasurement invarianceFour-factor solutionThe 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 ResearchMeSH KeywordsAdolescentAdultChildElectronic Nicotine Delivery SystemsFemaleHumansMalePsychometricsSurveys and QuestionnairesTobacco ProductsVapingConceptsModified 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
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 Research
2020
Association 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 ResearchMeSH KeywordsAdolescentAlcoholic BeveragesConnecticutElectronic Nicotine Delivery SystemsFemaleFlavoring AgentsHumansMaleSchoolsSurveys and QuestionnairesTasteUnderage DrinkingVapingConceptsAlcohol 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 schools
2019
Using Latent Class Analysis to Examine Susceptibility to Various Tobacco Products Among Adolescents
Bold KW, Buta E, Simon P, Kong G, Morean M, Camenga D, Krishnan-Sarin S. Using Latent Class Analysis to Examine Susceptibility to Various Tobacco Products Among Adolescents. Nicotine & Tobacco Research 2019, 22: 2059-2065. PMID: 31758190, PMCID: PMC7593365, DOI: 10.1093/ntr/ntz216.Peer-Reviewed Original ResearchAppeal of JUUL among adolescents
Kong G, Bold KW, Morean ME, Bhatti H, Camenga DR, Jackson A, Krishnan-Sarin S. Appeal of JUUL among adolescents. Drug And Alcohol Dependence 2019, 205: 107691. PMID: 31706249, PMCID: PMC7307218, DOI: 10.1016/j.drugalcdep.2019.107691.Peer-Reviewed Original ResearchAdolescents’ awareness of the nicotine strength and e-cigarette status of JUUL e-cigarettes
Morean ME, Bold KW, Kong G, Gueorguieva R, Camenga DR, Simon P, Jackson A, Cavallo DA, Krishnan-Sarin S. Adolescents’ awareness of the nicotine strength and e-cigarette status of JUUL e-cigarettes. Drug And Alcohol Dependence 2019, 204: 107512. PMID: 31487572, PMCID: PMC6878179, DOI: 10.1016/j.drugalcdep.2019.05.032.Peer-Reviewed Original Research
2018
E-cigarette devices used by high-school youth
Krishnan-Sarin S, Jackson A, Morean M, Kong G, Bold KW, Camenga DR, Cavallo DA, Simon P, Wu R. E-cigarette devices used by high-school youth. Drug And Alcohol Dependence 2018, 194: 395-400. PMID: 30497057, PMCID: PMC6312472, DOI: 10.1016/j.drugalcdep.2018.10.022.Peer-Reviewed Original ResearchAdolescentElectronic Nicotine Delivery SystemsFemaleHumansMaleSchoolsSmoking Water PipesStudentsSurveys and QuestionnairesVapingQuerying About the Use of Specific E-Cigarette Devices May Enhance Accurate Measurement of E-Cigarette Prevalence Rates Among High School Students
Morean ME, Camenga DR, Bold KW, Kong G, Jackson A, Simon P, Cavallo DA, Krishnan-Sarin S. Querying About the Use of Specific E-Cigarette Devices May Enhance Accurate Measurement of E-Cigarette Prevalence Rates Among High School Students. Nicotine & Tobacco Research 2018, 22: 833-837. PMID: 30395344, PMCID: PMC7171282, DOI: 10.1093/ntr/nty240.Peer-Reviewed Original ResearchDevelopment and psychometric validation of a novel measure of sensory expectancies associated with E-cigarette use
Morean ME, Krishnan-Sarin S, Sussman S, Foulds J, Fishbein H, Grana R, Halpern-Felsher B, Kim H, Weaver SR, O'Malley SS. Development and psychometric validation of a novel measure of sensory expectancies associated with E-cigarette use. Addictive Behaviors 2018, 91: 208-215. PMID: 30197032, PMCID: PMC6358482, DOI: 10.1016/j.addbeh.2018.08.031.Peer-Reviewed Original ResearchAssessing 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 ResearchMeSH KeywordsAdolescentAdvertisingConnecticutElectronic Nicotine Delivery SystemsFemaleHumansMaleSchoolsSocioeconomic FactorsSurveys and QuestionnairesTobacco UseVapingConceptsE-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 exposure
2017
Predictors of Adult E-Cigarette Users Vaporizing Cannabis Using E-Cigarettes and Vape-Pens
Morean ME, Lipshie N, Josephson M, Foster D. Predictors of Adult E-Cigarette Users Vaporizing Cannabis Using E-Cigarettes and Vape-Pens. Substance Use & Misuse 2017, 52: 974-981. PMID: 28323498, PMCID: PMC5409866, DOI: 10.1080/10826084.2016.1268162.Peer-Reviewed Original ResearchE-Cigarettes and “Dripping” Among High-School Youth
Krishnan-Sarin S, Morean M, Kong G, Bold KW, Camenga DR, Cavallo DA, Simon P, Wu R. E-Cigarettes and “Dripping” Among High-School Youth. Pediatrics 2017, 139: e20163224. PMID: 28167512, PMCID: PMC5330405, DOI: 10.1542/peds.2016-3224.Peer-Reviewed Original Research
2016
The Short Form Vaping Consequences Questionnaire: Psychometric Properties of a Measure of Vaping Expectancies for Use With Adult E-cigarette Users
Morean M, L’Insalata A. The Short Form Vaping Consequences Questionnaire: Psychometric Properties of a Measure of Vaping Expectancies for Use With Adult E-cigarette Users. Nicotine & Tobacco Research 2016, 19: 215-221. PMID: 27613904, DOI: 10.1093/ntr/ntw205.Peer-Reviewed Original ResearchConceptsE-cigarette usersTest-criterion relationshipsAdult e-cigarette usersNegative reinforcementInternal consistencyConsequences QuestionnaireSmoking expectanciesDual usersPositive reinforcementAppetite/weight controlMeasurement invarianceAssociated with positive reinforcementPast-month e-cigarette usersSmoking Consequences QuestionnairePsychometrically sound measureScalar measurement invarianceVaping outcomesConfirmatory factor analysisUnivariate general linear modelSmoking statusAnonymous surveyPsychometric analysisPsychometric propertiesE-cigarettesNegative consequencesPreference for gain- or loss-framed electronic cigarette prevention messages
Kong G, Cavallo DA, Camenga DR, Morean ME, Krishnan-Sarin S. Preference for gain- or loss-framed electronic cigarette prevention messages. Addictive Behaviors 2016, 62: 108-113. PMID: 27344117, PMCID: PMC5512445, DOI: 10.1016/j.addbeh.2016.06.015.Peer-Reviewed Original Research