E-cigarette dependence and cooling flavor use are linked among youth
Li W, Davis D, Kong G, Bold K, Morean M, Camenga D, Sharma A, Lee J, Krishnan-Sarin S. E-cigarette dependence and cooling flavor use are linked among youth. Drug And Alcohol Dependence 2024, 260: 111325. PMID: 38744108, DOI: 10.1016/j.drugalcdep.2024.111325.Peer-Reviewed Original ResearchSources 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 platformsExposureSocioecological 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 escalation