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 Research
2022
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
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
2020
Trends in various e-cigarette devices used by high school adolescents from 2017-2019
Bold KW, Kong G, Morean M, Gueorguieva R, Camenga DR, Simon P, Davis DR, Jackson A, Krishnan-Sarin S. Trends in various e-cigarette devices used by high school adolescents from 2017-2019. Drug And Alcohol Dependence 2020, 219: 108497. PMID: 33421797, PMCID: PMC7861878, DOI: 10.1016/j.drugalcdep.2020.108497.Peer-Reviewed Original ResearchHigh school students’ use of JUUL pod flavors before and after JUUL implemented voluntary sales restrictions on certain flavors in 2018
Morean ME, Bold KW, Kong G, Camenga DR, Jackson A, Simon P, Davis DR, Krishnan-Sarin S. High school students’ use of JUUL pod flavors before and after JUUL implemented voluntary sales restrictions on certain flavors in 2018. PLOS ONE 2020, 15: e0243368. PMID: 33320885, PMCID: PMC7737969, DOI: 10.1371/journal.pone.0243368.Peer-Reviewed Original ResearchFirst 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 schoolsAssociation 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
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 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 ResearchHigh school students’ use of flavored e-cigarette e-liquids for appetite control and weight loss
Morean ME, Bold KW, Kong G, Camenga D, Simon P, Jackson A, Cavallo DA, Krishnan-Sarin S. High school students’ use of flavored e-cigarette e-liquids for appetite control and weight loss. Addictive Behaviors 2019, 102: 106139. PMID: 31704428, PMCID: PMC6948184, DOI: 10.1016/j.addbeh.2019.106139.Peer-Reviewed Original ResearchConceptsE-liquid useAppetite controlWeight-related reasonsWeight lossE-liquidsAdolescent e-cigarette usersE-cigarette initiationE-cigarette usersSubset of adolescentsSchool-based surveyNicotine exposureFlavored e-liquidsSmoking frequencyInclusion criteriaAnalytic sampleVapingNaïve individualsFrequent vapingCurrent usersAdolescentsSchool adolescentsHigh school adolescentsNon-missing dataSmokingControlAdolescents’ 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 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 themesPrevalence 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