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 stepResponseAwareness, 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
Curiosity, 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 ResearchMeSH KeywordsElectronic Nicotine Delivery SystemsFlavoring AgentsHumansNicotineTobaccoTobacco ProductsVapingYoung AdultConceptsE-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 ResearchNovel 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
The 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 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 dataSmokingControlYouth 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
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 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
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 Research
2016
Preference 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