2022
Examining 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 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 ResearchConceptsE-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 ResearchThe 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 evaluationNovel 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
Psychometric 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 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 schoolsTwo‐part models for repeatedly measured ordinal data with “don't know” category
Gueorguieva R, Buta E, Morean M, Krishnan‐Sarin S. Two‐part models for repeatedly measured ordinal data with “don't know” category. Statistics In Medicine 2020, 39: 4574-4592. PMID: 32909252, PMCID: PMC8025667, DOI: 10.1002/sim.8739.Peer-Reviewed Original ResearchConceptsAdaptive Gaussian quadratureCorrelated random effectsSAS PROC NLMIXEDOrdinal dataMaximum likelihood estimationTerms of biasStatistical dependenceNominal modelGaussian quadraturePROC NLMIXEDLikelihood estimationPartial orderingEstimation algorithmTwo-part modelModel formulationSimulation studyRandom effectsPredictor effectsSubmodelsOrdinal natureFormulationNLMIXEDQuadratureModelOrderingE-cigarette devices used on school grounds
Jackson A, Kong G, Wu R, Morean ME, Davis DR, Camenga DR, Cavallo DA, Bold KW, Simon P, Krishnan-Sarin S. E-cigarette devices used on school grounds. Addictive Behaviors 2020, 110: 106516. PMID: 32622027, PMCID: PMC7415711, DOI: 10.1016/j.addbeh.2020.106516.Peer-Reviewed Original ResearchDripping and vape tricks: Alternative e-cigarette use behaviors among adolescents
Kong G, Morean ME, Bold KW, Wu R, Bhatti H, Simon P, Krishnan-Sarin S. Dripping and vape tricks: Alternative e-cigarette use behaviors among adolescents. Addictive Behaviors 2020, 107: 106394. PMID: 32222561, PMCID: PMC7308079, DOI: 10.1016/j.addbeh.2020.106394.Peer-Reviewed Original ResearchAssociation 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 dataSmokingControl