2018
PET imaging reveals lower kappa opioid receptor availability in alcoholics but no effect of age
Vijay A, Cavallo D, Goldberg A, de Laat B, Nabulsi N, Huang Y, Krishnan-Sarin S, Morris ED. PET imaging reveals lower kappa opioid receptor availability in alcoholics but no effect of age. Neuropsychopharmacology 2018, 43: 2539-2547. PMID: 30188515, PMCID: PMC6224533, DOI: 10.1038/s41386-018-0199-1.Peer-Reviewed Original ResearchConceptsHealthy control cohortVolume of distributionOpioid receptor systemKappa-opioid receptorsOpioid receptorsDelta opioid receptor systemReceptor systemMu-opioid receptor systemOpioid receptor availabilityPotential pharmacological targetEffect of ageAge-related declineControl cohortPET scansAntagonist tracersReceptor availabilityMultivariate analysisPharmacological targetsPET imagingReceptorsAgePartial volume correctionCohortVT valuesPresent studyE-cigarette advertising exposure in e-cigarette naïve adolescents and subsequent e-cigarette use: A longitudinal cohort study
Camenga D, Gutierrez KM, Kong G, Cavallo D, Simon P, Krishnan-Sarin S. E-cigarette advertising exposure in e-cigarette naïve adolescents and subsequent e-cigarette use: A longitudinal cohort study. Addictive Behaviors 2018, 81: 78-83. PMID: 29432916, PMCID: PMC5845830, DOI: 10.1016/j.addbeh.2018.02.008.Peer-Reviewed Original ResearchConceptsSubsequent e-cigarette useE-cigarette useE-cigarette advertisingE-cigarettesLogistic regressionE-cigarette advertising exposureWave 2Wave 1School-based cohortCigarette smoking statusLongitudinal cohort studyMultivariate logistic regressionPopular tobacco productAdvertising exposureTobacco use behaviorsCohort studySmoking statusCigarette smokingLongitudinal cohortWhite raceElectronic cigarettesTobacco productsNaïve adolescentsCohortExposure
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
2015
Adolescents’ and Young Adults’ Perceptions of Electronic Cigarettes for Smoking Cessation: A Focus Group Study
Camenga DR, Cavallo DA, Kong G, Morean ME, Connell CM, Simon P, Bulmer SM, Krishnan-Sarin S. Adolescents’ and Young Adults’ Perceptions of Electronic Cigarettes for Smoking Cessation: A Focus Group Study. Nicotine & Tobacco Research 2015, 17: 1235-1241. PMID: 25646346, PMCID: PMC4607731, DOI: 10.1093/ntr/ntv020.Peer-Reviewed Original ResearchConceptsCigarette smoking cessationSmoking cessationE-cigarette useE-cigarettesElectronic cigarettesFemale cigarette smokersYoung adult smokersYoung adults' perceptionsExclusive e-cigarette useCigarette smokingSmoking statusCigarette smokersAdult smokersNicotine reductionFocus group studyAdults' perceptionsCessationGroup studyNonsmokersSmokersCigarettesVerbatim transcriptsParticipantsFocus groupsAdolescents
2014
First Drink to First Drunk: Age of Onset and Delay to Intoxication Are Associated with Adolescent Alcohol Use and Binge Drinking
Morean ME, Kong G, Camenga DR, Cavallo DA, Connell C, Krishnan‐Sarin S. First Drink to First Drunk: Age of Onset and Delay to Intoxication Are Associated with Adolescent Alcohol Use and Binge Drinking. Alcohol Clinical And Experimental Research 2014, 38: 2615-2621. PMID: 25257574, PMCID: PMC4211959, DOI: 10.1111/acer.12526.Peer-Reviewed Original Research
2011
Health/Functioning Characteristics, Gambling Behaviors, and Gambling‐Related Motivations in Adolescents Stratified by Gambling Problem Severity: Findings from a High School Survey
Yip SW, Desai RA, Steinberg MA, Rugle L, Cavallo DA, Krishnan‐Sarin S, Potenza MN. Health/Functioning Characteristics, Gambling Behaviors, and Gambling‐Related Motivations in Adolescents Stratified by Gambling Problem Severity: Findings from a High School Survey. American Journal On Addictions 2011, 20: 495-508. PMID: 21999494, PMCID: PMC3683237, DOI: 10.1111/j.1521-0391.2011.00180.x.Peer-Reviewed Original ResearchConceptsProblem severityDSM-IV criteriaPathological gamblingDysphoria/depressionMeasures of healthGambling problem severityProblem/pathological gamblingSubstance useGeneral functioningImproved interventionsSeverityPoor academic performanceProtective behaviorsHigh school surveySchool surveyAdditional researchGambling behaviorFindings
2006
Gender and weight concerns in adolescent smokers
Cavallo DA, Duhig AM, McKee S, Krishnan-Sarin S. Gender and weight concerns in adolescent smokers. Addictive Behaviors 2006, 31: 2140-2146. PMID: 16567058, DOI: 10.1016/j.addbeh.2006.02.021.Peer-Reviewed Original ResearchConceptsBody mass indexAdolescent smokersWeight concernsSmoking-specific weight concernsYears of smokingDaily cigarette useSmoking controls weightAdolescent daily smokersMass indexMore cigarettesDaily smokersSmokingCigarette useImportant gender differencesSmokersInfluence of genderCigarettesMalesGender differencesSignificant relationshipFemalesGenderControl weightWeight
2005
Daily patterns of alcohol, cigarette, and marijuana use in adolescent smokers and nonsmokers
Duhig AM, Cavallo DA, McKee SA, George TP, Krishnan-Sarin S. Daily patterns of alcohol, cigarette, and marijuana use in adolescent smokers and nonsmokers. Addictive Behaviors 2005, 30: 271-283. PMID: 15621398, DOI: 10.1016/j.addbeh.2004.05.016.Peer-Reviewed Original ResearchConceptsFrequent daily useAdolescent smokersMarijuana useAdolescent cigarette smokersDaily usePatterns of alcoholMale smokersCigarette smokersSmokersClinical interventionsNonsmokersFuture researchPast monthMarijuanaMore daysSame dayCigarettesSignificant differencesOne-fifthDaily use patternsDaysMonths