2023
Gambling participation among Connecticut adolescents from 2007 to 2019: Potential risk and protective factors
Stefanovics E, Gueorguieva R, Zhai Z, Potenza M. Gambling participation among Connecticut adolescents from 2007 to 2019: Potential risk and protective factors. Journal Of Behavioral Addictions 2023, 12: 490-499. PMID: 37335777, PMCID: PMC10316163, DOI: 10.1556/2006.2023.00027.Peer-Reviewed Original ResearchConceptsPrevalence of gamblingGambling participationPatterns of gamblingSocial supportSocial support programsGambling advertisementsTraumatic experiencesMedia coverageState of ConnecticutSocio-demographic characteristicsAffective concernsSubstance useConnecticut high school studentsGamblingAdolescent gamblingAnonymous self-completed questionnairePotential risk factorsParticipationSupport programsPublic health concernSelf-completed questionnaireCurrent substance useSocio-demographic dataCross-sectional surveyWarrants further studyThe 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
2020
Two‐part models for repeatedly measured ordinal data with “don't know” category
Gueorguieva R, Buta E, Morean M, Krishnan‐Sarin S. Two‐part models for repeatedly measured ordinal data with “don't know” category. Statistics In Medicine 2020, 39: 4574-4592. PMID: 32909252, PMCID: PMC8025667, DOI: 10.1002/sim.8739.Peer-Reviewed Original ResearchConceptsAdaptive Gaussian quadratureCorrelated random effectsSAS PROC NLMIXEDOrdinal dataMaximum likelihood estimationTerms of biasStatistical dependenceNominal modelGaussian quadraturePROC NLMIXEDLikelihood estimationPartial orderingEstimation algorithmTwo-part modelModel formulationSimulation studyRandom effectsPredictor effectsSubmodelsOrdinal natureFormulationNLMIXEDQuadratureModelOrderingData Visualization Tools of Tobacco Product Use Patterns, Transitions and Sex Differences in the PATH Youth Data
Gueorguieva R, Buta E, Simon P, Krishnan-Sarin S, O’Malley S. Data Visualization Tools of Tobacco Product Use Patterns, Transitions and Sex Differences in the PATH Youth Data. Nicotine & Tobacco Research 2020, 22: 1901-1908. PMID: 32219313, PMCID: PMC7542650, DOI: 10.1093/ntr/ntaa056.Peer-Reviewed Original ResearchConceptsTobacco product use patternsMultiple tobacco product useProduct use patternsTobacco product useE-cigarettesProduct useTobacco productsHookah useWave 1Wave 2Common tobacco productsTobacco use patternsE-cigarette useSex differencesInitiation of usePatterns of useHealth StudyAdolescent girlsYear old youthRelative frequencyUnweighted frequenciesCigarettesOlder youthUse patternsPopulation Assessment
2018
Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional study
Chekroud SR, Gueorguieva R, Zheutlin AB, Paulus M, Krumholz HM, Krystal JH, Chekroud AM. Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional study. The Lancet Psychiatry 2018, 5: 739-746. PMID: 30099000, DOI: 10.1016/s2215-0366(18)30227-x.Peer-Reviewed Original ResearchConceptsMental health burdenCross-sectional studyHealth burdenExercise typeMental healthPhysical exerciseBehavioral Risk Factor Surveillance System surveyPast monthBody mass index categoriesEffective clinical targetsPrevention's Behavioral Risk Factor Surveillance System (BRFSS) surveysSelf-reported mental healthFrequency of exerciseSelf-reported physical healthFunction of exerciseMultiple sensitivity analysesPoor mental healthTerms of ageCause mortalityPrevious diagnosisPotential confoundersInterventional studyCardiovascular diseaseReduced riskIndex categories
2003
A Risk Assessment Screening Test for Very Low Birth Weight
Gueorguieva RV, Sarkar NP, Carter RL, Ariet M, Roth J, Resnick MB. A Risk Assessment Screening Test for Very Low Birth Weight. Maternal And Child Health Journal 2003, 7: 127-136. PMID: 12870628, DOI: 10.1023/a:1023821127953.Peer-Reviewed Original ResearchConceptsLow birth weightStatistical methodsScreening toolBirth weightRisk factorsScreening testIdentification of womenImportant risk factorPublic health policy makersRisk assessment screening toolsFlorida State DepartmentHealth policy makersModeling techniquesLinear modeling techniquesEffective intervention programsPrenatal recordsHigh riskHealthy StartBirth recordsScreening instrumentActual valuesComparable specificityIntervention programsVLBWVital statistics
2001
Effect of Teenage Pregnancy on Educational Disabilities in Kindergarten
Gueorguieva R, Carter R, Ariet M, Roth J, Mahan C, Resnick M. Effect of Teenage Pregnancy on Educational Disabilities in Kindergarten. American Journal Of Epidemiology 2001, 154: 212-220. PMID: 11479185, DOI: 10.1093/aje/154.3.212.Peer-Reviewed Original ResearchConceptsLong-term morbidityTeenage pregnancyMaternal ageTeenage mothersOlder maternal ageYoung maternal ageAssociated sociodemographic factorsMarital statusSingle marital statusPublic health issuePerinatal outcomesPoor outcomeHigh prevalenceProtective effectHigher oddsSociodemographic factorsPregnancyMaternal educationYounger ageHealth issuesAdverse effectsTeen ageIndependent effectsEducational disabilitiesMorbidity