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 modelsExamining racial differences in smoking outcomes among smokers enrolled in an intravenous nicotine infusion study
Schwartz E, Palmisano A, Gueorguieva R, DeVito E, Sofuoglu M. Examining racial differences in smoking outcomes among smokers enrolled in an intravenous nicotine infusion study. Addictive Behaviors 2023, 140: 107615. PMID: 36640662, PMCID: PMC9911383, DOI: 10.1016/j.addbeh.2023.107615.Peer-Reviewed Original ResearchConceptsSmoking-related illnessesNegative drug effectsNicotine clearanceOvernight abstinenceNicotine infusionDrug effectsMentholated cigarettesWhite individualsBlack individualsAcute pharmacologic effectsSmoking-related morbiditySmoking-related diseasesAdministration of nicotineSmoking-related outcomesSubjective drug effectsShort-term abstinenceLower ratesTrend level differenceLarge racial disparitiesNicotine administrationNicotine dosesTrend-level significancePharmacologic effectsTreatment strategiesOutcome measures
2022
Models for Zero-Inflated and Overdispersed Correlated Count Data: An Application to Cigarette Use
Pittman B, Buta E, Garrison K, Gueorguieva R. Models for Zero-Inflated and Overdispersed Correlated Count Data: An Application to Cigarette Use. Nicotine & Tobacco Research 2022, 25: 996-1003. PMID: 36318799, PMCID: PMC10077942, DOI: 10.1093/ntr/ntac253.Peer-Reviewed Original ResearchConceptsCorrelated count dataCount outcomesCount dataSubject-specific interpretationZero-InflatedIncorrect statistical inferenceStatistical inferenceCorrelated countsPoisson distributionOverdispersionModel assumptionsPoisson modelRandom effectsHurdle Poisson modelProper modelNegative binomial modelBinomial modelSuch dataAppropriate modelBest fitLarge varianceTobacco researchSuch outcomesModel fitTraining app