Featured Publications
Socioecological factors associated with multiple nicotine product use among U.S. youth: Findings from the population assessment of tobacco and health (PATH) study 2013–2018
Simon P, Stefanovics E, Ying S, Gueorguieva R, Krishnan-Sarin S, Buta E. Socioecological factors associated with multiple nicotine product use among U.S. youth: Findings from the population assessment of tobacco and health (PATH) study 2013–2018. Preventive Medicine 2024, 183: 107956. PMID: 38615947, DOI: 10.1016/j.ypmed.2024.107956.Peer-Reviewed Original ResearchPopulation Assessment of Tobacco and HealthNicotine product useU.S. youthAssociated with tobacco useEstimate adjusted associationsPopulation AssessmentPromote harm reductionTobacco product useMultinomial logistic regressionTobacco useAdjusted associationsSocioecological approachStudy Wave 1Harm reductionProduct useIntrapersonal factorsLogistic regressionWave 1Family factorsLifetime historyNicotine productsOlder ageLifetime usersYouthPrevent escalationThe 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 modelsLongitudinal Trajectories of Multiple Nicotine Product Use Among Youths in the Population Assessment of Tobacco and Health Study
Simon P, Jiang Y, Buta E, Sartor CE, Krishnan-Sarin S, Gueorguieva R. Longitudinal Trajectories of Multiple Nicotine Product Use Among Youths in the Population Assessment of Tobacco and Health Study. JAMA Network Open 2022, 5: e223549. PMID: 35319763, PMCID: PMC8943628, DOI: 10.1001/jamanetworkopen.2022.3549.Peer-Reviewed Original ResearchConceptsNicotine product useCigar useTobacco usersTobacco useHealth StudyCigarette useProduct useWave 1Significant public health concernLongitudinal trajectoriesPublic health concernNon-Hispanic whitesTobacco product useLogistic regression modelsTobacco use behaviorsComplex survey designMultinomial logistic regression modelsDays of useSocioecological factorsMAIN OUTCOMESmokeless tobaccoLower oddsNicotine productsLatent class growth analysisSociodemographic factorsTransitions 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
2020
Data Visualization Tools of Tobacco Product Use Patterns, Transitions and Sex Differences in the PATH Youth Data
Gueorguieva R, Buta E, Simon P, Krishnan-Sarin S, O’Malley S. Data Visualization Tools of Tobacco Product Use Patterns, Transitions and Sex Differences in the PATH Youth Data. Nicotine & Tobacco Research 2020, 22: 1901-1908. PMID: 32219313, PMCID: PMC7542650, DOI: 10.1093/ntr/ntaa056.Peer-Reviewed Original ResearchConceptsTobacco product use patternsMultiple tobacco product useProduct use patternsTobacco product useE-cigarettesProduct useTobacco productsHookah useWave 1Wave 2Common tobacco productsTobacco use patternsE-cigarette useSex differencesInitiation of usePatterns of useHealth StudyAdolescent girlsYear old youthRelative frequencyUnweighted frequenciesCigarettesOlder youthUse patternsPopulation Assessment
2019
Harm Perceptions of Alternative Tobacco Products among US Adolescents
Kong G, Simon P, Mayer ME, Barrington-Trimis JL, Pacek LR, Cooper M, Guy MC, Stanton CA. Harm Perceptions of Alternative Tobacco Products among US Adolescents. Tobacco Regulatory Science 2019, 5: 242-252. PMID: 31840041, PMCID: PMC6910255, DOI: 10.18001/trs.5.3.3.Peer-Reviewed Original ResearchAlternative tobacco productsTobacco productsLow parental educationSmokeless tobaccoLatent class analysisE-cigarettesLogistic regression analysisMultinomial logistic regression analysisParental educationTobacco usePerceptions of harmTobacco preventionHarm perceptionsUS adolescentsGroup of adolescentsDemographic characteristicsRegression analysisAdolescentsParent surveyWave 1HookahClass analysisHarmSimilar awarenessTobacco
2018
E-cigarette advertising exposure in e-cigarette naïve adolescents and subsequent e-cigarette use: A longitudinal cohort study
Camenga D, Gutierrez KM, Kong G, Cavallo D, Simon P, Krishnan-Sarin S. E-cigarette advertising exposure in e-cigarette naïve adolescents and subsequent e-cigarette use: A longitudinal cohort study. Addictive Behaviors 2018, 81: 78-83. PMID: 29432916, PMCID: PMC5845830, DOI: 10.1016/j.addbeh.2018.02.008.Peer-Reviewed Original ResearchConceptsSubsequent e-cigarette useE-cigarette useE-cigarette advertisingE-cigarettesLogistic regressionE-cigarette advertising exposureWave 2Wave 1School-based cohortCigarette smoking statusLongitudinal cohort studyMultivariate logistic regressionPopular tobacco productAdvertising exposureTobacco use behaviorsCohort studySmoking statusCigarette smokingLongitudinal cohortWhite raceElectronic cigarettesTobacco productsNaïve adolescentsCohortExposure