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
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 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 schools
2019
High 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 dataSmokingControl
2018
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
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 onsetPROMISThe 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 proportionDaysPsychometric Evaluation of the E-cigarette Dependence Scale
Morean M, Krishnan-Sarin S, Sussman S, Foulds J, Fishbein H, Grana R, O’Malley S. Psychometric Evaluation of the E-cigarette Dependence Scale. Nicotine & Tobacco Research 2018, 21: 1556-1564. PMID: 29301008, PMCID: PMC6821314, DOI: 10.1093/ntr/ntx271.Peer-Reviewed Original ResearchConceptsE-cigarette useE-cigarette dependence scalesE-cigarettesE-cigarette usersE-cigarette dependenceNicotine dependenceCigarette smoking statusCurrent cigarette smoking statusDaily e-cigarette usersDependence ScaleExclusive e-cigarette usersConvergent validityLiquid nicotine contentSmoking statusCigarette smokersQuit attemptsLeast weeklyNicotine concentrationsUse outcomesPsychometric evaluationTest-criterion relationshipsCigarettesAnonymous surveyStrong psychometric propertiesSmokers
2017
Early age of e-cigarette use onset mediates the association between impulsivity and e-cigarette use frequency in youth
Bold KW, Morean ME, Kong G, Simon P, Camenga DR, Cavallo DA, Krishnan-Sarin S. Early age of e-cigarette use onset mediates the association between impulsivity and e-cigarette use frequency in youth. Drug And Alcohol Dependence 2017, 181: 146-151. PMID: 29055268, PMCID: PMC5683935, DOI: 10.1016/j.drugalcdep.2017.09.025.Peer-Reviewed Original ResearchConceptsE-cigarette useMore frequent e-cigarette useEarly ageFrequent e-cigarette useE-cigarette use onsetLong-term useE-cigarette initiationE-cigarette usersE-cigarette use frequencyE-cigarette interventionsBehavioral impulsivityRisk factorsEarly initiationUnknown health effectsDomains of impulsivityImpulsive youthE-cigarettesGreater riskPast monthPredictors 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
Vaping to lose weight: Predictors of adult e-cigarette use for weight loss or control
Morean M, Wedel A. Vaping to lose weight: Predictors of adult e-cigarette use for weight loss or control. Addictive Behaviors 2016, 66: 55-59. PMID: 27875790, DOI: 10.1016/j.addbeh.2016.10.022.Peer-Reviewed Original ResearchConceptsE-cigarette usersAdult e-cigarette usersE-cigarettesHistory of binge eatingTraditional cigarette smokersE-cigarette initiationWeight lossAssociated with anorexiaCurrent weight statusE-liquidsE-cigarette useCigarette smoking statusWeight loss motivationsBinary logistic regressionCigarette smokersWeight statusSmoking statusWeight managementE-liquid flavorsDiet strategiesVaping frequencyLogistic regressionBinge eatingNicotine contentPotential predictorsNicotine concentration of e-cigarettes used by adolescents
Morean ME, Kong G, Cavallo DA, Camenga DR, Krishnan-Sarin S. Nicotine concentration of e-cigarettes used by adolescents. Drug And Alcohol Dependence 2016, 167: 224-227. PMID: 27592270, PMCID: PMC5158305, DOI: 10.1016/j.drugalcdep.2016.06.031.Peer-Reviewed Original ResearchConceptsNicotine usersNicotine e-liquidE-cigarettesNicotine concentrationsE-cigarette usersNicotine-free e-liquidsHigher nicotine concentrationsE-liquidsOwn e-cigaretteCross-sectional surveyLiquid nicotine concentrationHigher nicotine levelsE-cigarette use frequencySmoking statusCigarette smokingMale sexMore smokersNicotine exposureTobacco shopsNicotine levelsSmokersAdolescentsMore malesSexMalesThe 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 consequences
2014
E-cigarette Use Among High School and Middle School Adolescents in Connecticut
Krishnan-Sarin S, Morean ME, Camenga DR, Cavallo DA, Kong G. E-cigarette Use Among High School and Middle School Adolescents in Connecticut. Nicotine & Tobacco Research 2014, 17: 810-818. PMID: 25385873, PMCID: PMC4674435, DOI: 10.1093/ntr/ntu243.Peer-Reviewed Original ResearchConceptsCurrent cigarette smokersCigarette smokersE-cigarette useE-cigarettesE-cigarette usersLifetime e-cigarette usersNicotine-containing e-cigarettesElectronic cigarette useE-cigarette advertisementsFirst tobacco productE-cigarette awarenessSmokersCigarette useTobacco productsLimited evidenceLongitudinal monitoringAnonymous survey