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 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 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 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 accessThe 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
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
2019
The Association of Impulsivity and Family History of Alcohol Use Disorder on Alcohol Use and Consequences
Haeny AM, Gueorguieva R, Morean ME, Krishnan‐Sarin S, DeMartini KS, Pearlson GD, Anticevic A, Krystal JH, O'Malley SS. The Association of Impulsivity and Family History of Alcohol Use Disorder on Alcohol Use and Consequences. Alcohol Clinical And Experimental Research 2019, 44: 159-167. PMID: 31693193, PMCID: PMC6981005, DOI: 10.1111/acer.14230.Peer-Reviewed Original ResearchConceptsFacets of impulsivityBarratt Impulsiveness ScaleAlcohol-related problemsAlcohol use disorderProblem drinkingAssociation of impulsivityImpulsivity-related traitsAlcohol-related consequencesUse disordersFHP individualsAlcohol outcomesImpulsiveness ScaleImpulsivityProblematic drinkingFHN individualsDrinking quantityAlcohol quantityTranslational neuroscienceAlcohol misuseAlcohol useTransdisciplinary Tobacco Use Research CenterMain effectAnalysis of covariancePhenotypic riskStrong positive associationUsing 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 ResearchPrevalence and correlates of medical cannabis patients' use of cannabis for recreational purposes
Morean M, Lederman I. Prevalence and correlates of medical cannabis patients' use of cannabis for recreational purposes. Addictive Behaviors 2019, 93: 233-239. PMID: 30772776, DOI: 10.1016/j.addbeh.2019.02.003.Peer-Reviewed Original ResearchConceptsMedical cannabisRecreational cannabisMental health conditionsLegal statusLegalized medical cannabisMC usersFeatures of MCHigh-risk populationState of residenceParticipating statesRegulatory effortsPrimary medical conditionPrevention/intervention effortsRates of misuseParticipant's state of residencePrescription medicationsTHC concentrationsHealth conditionsPatient useAnonymous surveyMedical authoritiesMedication usersPositive expectationsMedical conditionsCannabis
2018
Development 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 ResearchComparing cigarette and e-cigarette dependence and predicting frequency of smoking and e-cigarette use in dual-users of cigarettes and e-cigarettes
Morean M, Krishnan-Sarin S, O'Malley SS. Comparing cigarette and e-cigarette dependence and predicting frequency of smoking and e-cigarette use in dual-users of cigarettes and e-cigarettes. Addictive Behaviors 2018, 87: 92-96. PMID: 29975879, PMCID: PMC9245548, DOI: 10.1016/j.addbeh.2018.06.027.Peer-Reviewed Original ResearchThe 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 proportionDays