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 ResearchAccurately classifying cannabis blunt use as tobacco-cannabis co-use versus exclusive cannabis use
Morean M, Kong G, Bold K, Davis D, Krishnan-Sarin S. Accurately classifying cannabis blunt use as tobacco-cannabis co-use versus exclusive cannabis use. Drug And Alcohol Dependence 2023, 249: 109941. PMID: 37270936, PMCID: PMC10330737, DOI: 10.1016/j.drugalcdep.2023.109941.Peer-Reviewed Original ResearchThe first nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths
Simon P, Buta E, Jackson A, Camenga D, Kong G, Morean M, Bold K, Davis D, Krishnan-Sarin S, Gueorguieva R. The first nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths. Preventive Medicine 2023, 169: 107437. PMID: 36731754, PMCID: PMC10507373, DOI: 10.1016/j.ypmed.2023.107437.Peer-Reviewed Original ResearchConceptsNicotine product useSymptoms of dependenceNicotine dependenceMultiple product useSmokeless tobaccoNicotine productsProduct useSeparate multinomial logistic regression modelsHealth Study Waves 1Wave 1Smokeless tobacco usersHigher nicotine dependence scoresNicotine dependence scoresDemographic factorsLogistic regression modelsMultinomial logistic regression modelsMultivariable modelTobacco usersHigh riskDependence scoresSymptomsGreater likelihoodUse statusWave 4Regression models
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 accessThe 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 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 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