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 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 platformsExposure
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 stepResponsePsychometric 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 ResearchAccurately 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 ResearchQualitative 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 transcriptsThe 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 modelsAwareness, 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
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 healthThe 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 ResearchConceptsModified 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 solutionExamining associations of e-cigarette flavour restrictions with e-cigarette use and success quitting smoking among US adults
Bold KW, Krishnan-Sarin S, O'Malley S, Morean ME. Examining associations of e-cigarette flavour restrictions with e-cigarette use and success quitting smoking among US adults. Tobacco Control 2022, 31: s184-s186. PMID: 36328465, PMCID: PMC9664117, DOI: 10.1136/tobaccocontrol-2022-057458.Peer-Reviewed Original ResearchCuriosity, 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 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 evaluationNovel Nicotine Concentration Labels Improve Adolescents’ and Young Adults’ Understanding of the Nicotine Strength of Electronic Nicotine Delivery System Products
Morean ME, Wackowski OA, Eissenberg T, Delnevo CD, Krishnan-Sarin S, Gueorguieva R. Novel Nicotine Concentration Labels Improve Adolescents’ and Young Adults’ Understanding of the Nicotine Strength of Electronic Nicotine Delivery System Products. Nicotine & Tobacco Research 2022, 24: 1110-1119. PMID: 35137219, PMCID: PMC9199936, DOI: 10.1093/ntr/ntac024.Peer-Reviewed Original Research
2021
Reporting of pneumothorax in association with vaping devices and electronic cigarettes
Borchert D, Kelm H, Morean M, Tannapfel A. Reporting of pneumothorax in association with vaping devices and electronic cigarettes. BMJ Case Reports 2021, 14: e247844. PMID: 34920999, PMCID: PMC8685946, DOI: 10.1136/bcr-2021-247844.Peer-Reviewed Original ResearchConceptsBack painRight-sided pneumothoraxReports of pneumothoraxChest X-rayEmergency departmentSmoking cigarettesElectronic cigarettesLung resectionSpontaneous pneumothoraxMild alveolitisCT scanLung injuryPneumothoraxVapingPotential associationCigarettePublished reportsAssociationStructured reportsSmokingReportsResectionPainPatientsDyspnoeaPsychometric 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 ResearchThe Anticipated Effects of Cannabis Scale (AECS): Initial Development and Validation of an Affect- and Valence-Based Expectancy Measure
Waddell J, Corbin W, Meier M, Morean M, Metrik J. The Anticipated Effects of Cannabis Scale (AECS): Initial Development and Validation of an Affect- and Valence-Based Expectancy Measure. Psychological Assessment 2021, 33: 180-194. PMID: 33151731, PMCID: PMC9973752, DOI: 10.1037/pas0000881.Peer-Reviewed Original ResearchConceptsCannabis expectanciesNegative expectationsEvidence of incremental validityAssociated with cannabis useCannabis use frequencyFactor analysisTwo-factor structureAssociated with more negative consequencesConfirmatory factor analysisExploratory factor analysisAlcohol expectanciesCannabis misuseIncremental validityCannabis effectsCannabis frequencyDependence symptomsCannabis usePsychometric limitationsExpectancy itemsValence-basedExpectancy measuresPredictive utilityCannabisPositive expectationsPrior research