Featured Publications
E-cigarette Use Patterns, Flavors, and Device Characteristics Associated With Quitting Smoking Among a U.S. sample of Adults Using E-cigarettes in a Smoking Cessation Attempt
Bold K, O’Malley S, Krishnan-Sarin S, Morean M. E-cigarette Use Patterns, Flavors, and Device Characteristics Associated With Quitting Smoking Among a U.S. sample of Adults Using E-cigarettes in a Smoking Cessation Attempt. Nicotine & Tobacco Research 2022, 25: 954-961. PMID: 36462196, PMCID: PMC10077943, DOI: 10.1093/ntr/ntac276.Peer-Reviewed Original ResearchConceptsE-cigarette useE-cigarettesTobacco regulatory policyLonger durationNicotine concentrationsAbstinence durationNon-tobacco flavorsMultivariable linear regression modelsSmoking cessation attemptE-cigarette use patternsDuration of abstinenceLonger abstinence durationCessation successSmoking cessationCigarette cessationQuitting smokingMultivariable modelCessation attemptsQuit attemptsE-cigarette flavorsSmokingAverage durationAbstinenceAdultsPublic health
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