Featured Publications
Examining the potential role of e-cigarettes to reduce health disparities associated with menthol cigarette use: Characterizing e-cigarette use, flavors, and reasons for use among US adults smoking menthol cigarettes
Bold KW, Buta E, Simon P, Gueorguieva R, Jackson A, Suttiratana SC, Krishnan-Sarin S, O'Malley SS. Examining the potential role of e-cigarettes to reduce health disparities associated with menthol cigarette use: Characterizing e-cigarette use, flavors, and reasons for use among US adults smoking menthol cigarettes. Drug And Alcohol Dependence 2022, 236: 109475. PMID: 35594642, PMCID: PMC9248755, DOI: 10.1016/j.drugalcdep.2022.109475.Peer-Reviewed Original Research
2024
Non-tobacco nicotine E-cigarette use and flavored E-cigarette use among young adults in the United States
Li W, Krishnan-Sarin S, Morean M, Bold K, Davis D, Camenga D, Kong G. Non-tobacco nicotine E-cigarette use and flavored E-cigarette use among young adults in the United States. Preventive Medicine 2024, 184: 108001. PMID: 38735588, DOI: 10.1016/j.ypmed.2024.108001.Peer-Reviewed Original Research
2023
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
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