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 ResearchPsychometric 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
Electronic cigarette use among individuals with a self‐reported eating disorder diagnosis
Morean M, L'Insalata A. Electronic cigarette use among individuals with a self‐reported eating disorder diagnosis. International Journal Of Eating Disorders 2017, 51: 77-81. PMID: 29076176, DOI: 10.1002/eat.22793.Peer-Reviewed Original ResearchMeSH KeywordsAdultElectronic Nicotine Delivery SystemsFeeding and Eating DisordersFemaleHumansMaleSelf ReportConceptsEating disordersSelf-reportED historyNicotine concentrationsNegative affectTreatment providersE-cigarettesLose/control weightPrimary study aimE-cigarette useAmerican adultsED treatmentElectronic cigarette useCigarette useNicotineParticipantsAdult vapersIndividualsStudy aimAnonymous surveyAffectHealth concernDisordersTreatmentClientsEarly 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 month
2014
Psychometrically Improved, Abbreviated Versions of Three Classic Measures of Impulsivity and Self-Control
Morean ME, DeMartini KS, Leeman RF, Pearlson GD, Anticevic A, Krishnan-Sarin S, Krystal JH, O’Malley S. Psychometrically Improved, Abbreviated Versions of Three Classic Measures of Impulsivity and Self-Control. Psychological Assessment 2014, 26: 1003-1020. PMID: 24885848, PMCID: PMC4152397, DOI: 10.1037/pas0000003.Peer-Reviewed Original ResearchConceptsBrief Self-Control ScaleSelf-reported impulsivityBIS/BASTest-criterion relationshipsFactor structureImpulsivity measuresMeasurement invarianceSelf-report impulsivity measuresBarratt Impulsiveness Scale-11Self-Control ScaleScalar measurement invarianceLatent factor structureGood scale propertiesComprehensive psychometric evaluationReplicable factor structureDrinking/smokingConfirmatory factor analysisAbbreviated versionAlternative factor structuresBehavioral inhibitionActivation ScalesSelf-ControlBIS-11Substance use researchSmoking outcomes
2012
Age of First Use and Delay to First Intoxication in Relation to Trajectories of Heavy Drinking and Alcohol‐Related Problems During Emerging Adulthood
Morean M, Corbin W, Fromme K. Age of First Use and Delay to First Intoxication in Relation to Trajectories of Heavy Drinking and Alcohol‐Related Problems During Emerging Adulthood. Alcohol Clinical And Experimental Research 2012, 36: 1991-1999. PMID: 22897715, PMCID: PMC5777131, DOI: 10.1111/j.1530-0277.2012.01812.x.Peer-Reviewed Original ResearchConceptsFrequency of heavy drinkingSenior year of collegeAlcohol-related problemsHeavy drinkingYear of collegeEarly drinkingLatent growth curve modelingExperience of alcohol-related problemsPredictors of heavy drinkingTrajectories of heavy drinkingSenior year of high schoolAlcohol-related outcomesGrowth curve modelsSenior yearCross-cultural differencesYear of high schoolUnique varianceDrinking outcomesEmerging adulthoodCollege freshmenCurve modelBiannual assessmentsHigh schoolShort delayAssociated with increased frequency