2022
The Modified Cigarette Evaluation Questionnaire: Psychometric properties of the originally-proposed five-factor structure and a novel four-factor structure for use with adults who currently smoke cigarettes
Morean M, Bold K. The Modified Cigarette Evaluation Questionnaire: Psychometric properties of the originally-proposed five-factor structure and a novel four-factor structure for use with adults who currently smoke cigarettes. Drug And Alcohol Dependence 2022, 241: 109684. PMID: 36371995, PMCID: PMC9772171, DOI: 10.1016/j.drugalcdep.2022.109684.Peer-Reviewed Original ResearchConceptsModified Cigarette Evaluation QuestionnaireCigarette Evaluation QuestionnaireGroup differencesPsychometric propertiesSmoking-related characteristicsEvaluation questionnaireSmoking characteristicsAversive effectsFour-factor structurePrior trialsParticipant subgroupsKey psychometric propertiesLatent factor structureStrong psychometric propertiesFive-factor structureAdultsInternal consistencyCigarettesTest-criterion validitySecondary testFactor structureReplication sampleAdditional researchMeasurement invarianceFour-factor solution
2018
Trajectories of E-Cigarette and Conventional Cigarette Use Among Youth
Bold KW, Kong G, Camenga DR, Simon P, Cavallo DA, Morean ME, Krishnan-Sarin S. Trajectories of E-Cigarette and Conventional Cigarette Use Among Youth. Pediatrics 2018, 141: e20171832. PMID: 29203523, PMCID: PMC5744268, DOI: 10.1542/peds.2017-1832.Peer-Reviewed Original Research
2017
Early age of e-cigarette use onset mediates the association between impulsivity and e-cigarette use frequency in youth
Bold KW, Morean ME, Kong G, Simon P, Camenga DR, Cavallo DA, Krishnan-Sarin S. Early age of e-cigarette use onset mediates the association between impulsivity and e-cigarette use frequency in youth. Drug And Alcohol Dependence 2017, 181: 146-151. PMID: 29055268, PMCID: PMC5683935, DOI: 10.1016/j.drugalcdep.2017.09.025.Peer-Reviewed Original ResearchConceptsE-cigarette useMore frequent e-cigarette useEarly ageFrequent e-cigarette useE-cigarette use onsetLong-term useE-cigarette initiationE-cigarette usersE-cigarette use frequencyE-cigarette interventionsBehavioral impulsivityRisk factorsEarly initiationUnknown health effectsDomains of impulsivityImpulsive youthE-cigarettesGreater riskPast month
2016
E-Cigarette Susceptibility as a Predictor of Youth Initiation of E-Cigarettes
Bold KW, Kong G, Cavallo DA, Camenga DR, Krishnan-Sarin S. E-Cigarette Susceptibility as a Predictor of Youth Initiation of E-Cigarettes. Nicotine & Tobacco Research 2016, 20: 140-144. PMID: 28035000, PMCID: PMC5868212, DOI: 10.1093/ntr/ntw393.Peer-Reviewed Original Research
2015
Independent and interactive effects of real-time risk factors on later temptations and lapses among smokers trying to quit
Bold KW, McCarthy DE, Minami H, Yeh VM, Chapman GB, Waters AJ. Independent and interactive effects of real-time risk factors on later temptations and lapses among smokers trying to quit. Drug And Alcohol Dependence 2015, 158: 30-37. PMID: 26585613, PMCID: PMC4698113, DOI: 10.1016/j.drugalcdep.2015.10.024.Peer-Reviewed Original ResearchConceptsRisk factorsQuit attemptsAlcohol useSmoking cessation counselingNicotine replacement therapyRecent alcohol useCessation counselingTreatment-seeking daily smokersCigarette exposureReplacement therapyDaily smokersRelapse mechanismsSmokersSecondary analysisSmoking lapseHigh distressSmokingEcological momentary assessment dataCurrent studyDaysFactorsTherapyCombination of factors
2014
Rates and Predictors of Renewed Quitting After Relapse During a One-Year Follow-Up Among Primary Care Patients
Bold KW, Rasheed AS, McCarthy DE, Jackson TC, Fiore MC, Baker TB. Rates and Predictors of Renewed Quitting After Relapse During a One-Year Follow-Up Among Primary Care Patients. Annals Of Behavioral Medicine 2014, 49: 128-140. PMID: 24796541, PMCID: PMC4223110, DOI: 10.1007/s12160-014-9627-6.Peer-Reviewed Original ResearchConceptsPrimary care patientsCare patientsComparative effectiveness trialCessation pharmacotherapyAbstinence ratesDependent smokersDaily smokingEffectiveness trialQuit attemptsSmoking relapseDepressive symptomsRelapseLate abstinenceOne-yearQuittingAbstinenceLong latencyPatientsPredictorsMeaningful levelsRelapsersPharmacotherapySmokersSmokingSymptoms
2013
Factors Predicting Smoking in a Laboratory-Based Smoking-Choice Task
Bold KW, Yoon H, Chapman GB, McCarthy DE. Factors Predicting Smoking in a Laboratory-Based Smoking-Choice Task. Experimental And Clinical Psychopharmacology 2013, 21: 133-143. PMID: 23421357, PMCID: PMC3624971, DOI: 10.1037/a0031559.Peer-Reviewed Original ResearchConceptsGreater nicotine dependenceNicotine dependenceFirst puffRelapse risk factorsLow distress toleranceMedian timeMore cigarettesSmoking choicesRisk factorsSmoking cuesCessation attemptsIntensive smokingDistress toleranceMore puffsSurvival analysisNicotine deprivationSmoking lapseCigarettesBehavioral disinhibitionSmokingHigh impulsivityMinCurrent understandingParticipantsSmokers