2022
Clinical and Financial Outcomes Associated With a Workplace Mental Health Program Before and During the COVID-19 Pandemic
Bondar J, Morrow C, Gueorguieva R, Brown M, Hawrilenko M, Krystal JH, Corlett PR, Chekroud AM. Clinical and Financial Outcomes Associated With a Workplace Mental Health Program Before and During the COVID-19 Pandemic. JAMA Network Open 2022, 5: e2216349. PMID: 35679044, PMCID: PMC9185188, DOI: 10.1001/jamanetworkopen.2022.16349.Peer-Reviewed Original ResearchConceptsMental health programsHealth programsCohort studyLarge clinical effect sizesPatient Health Questionnaire-9Common mental health conditionsSheehan Disability ScaleClinical effect sizeMental health conditionsMental health symptomsCost of treatmentGeneralized anxiety disorderMental health difficultiesMental health benefitsWorkplace wellness programsCare navigationClinical improvementPrimary outcomeClinical benefitQuestionnaire-9Disability ScaleMedication managementLeast moderate anxietyMixed-effects regressionPerson psychotherapy
2020
Prospective association of e‐cigarette and cigarette use with alcohol use in two waves of the Population Assessment of Tobacco and Health
Roberts W, Verplaetse T, Peltier MKR, Moore KE, Gueorguieva R, McKee SA. Prospective association of e‐cigarette and cigarette use with alcohol use in two waves of the Population Assessment of Tobacco and Health. Addiction 2020, 115: 1571-1579. PMID: 31977106, PMCID: PMC7340560, DOI: 10.1111/add.14980.Peer-Reviewed Original ResearchConceptsAlcohol use outcomesHazardous alcohol useE-cigarette useE-cigarettesCigarette useAlcohol useUse outcomesExposure groupCigarette usersTotal drinksSocio-demographic risk factorsUnited States adult populationWave 1Non-institutionalized adultsStates adult populationHarmful alcohol consumptionNon-daily useE-cigarette usersPoorer alcohol use outcomesSocio-demographic characteristicsRisk factorsHealth SurveyHigher oddsTobacco cigarettesAlcohol abuse
2018
Posttraumatic stress disorder diagnosis and gender are associated with accelerated weight gain trajectories in veterans during the post-deployment period
Buta E, Masheb R, Gueorguieva R, Bathulapalli H, Brandt CA, Goulet JL. Posttraumatic stress disorder diagnosis and gender are associated with accelerated weight gain trajectories in veterans during the post-deployment period. Eating Behaviors 2018, 29: 8-13. PMID: 29413821, PMCID: PMC5935565, DOI: 10.1016/j.eatbeh.2018.01.002.Peer-Reviewed Original ResearchConceptsStress disorder diagnosisPosttraumatic stress disorder (PTSD) diagnosisMedian ageBMI measurementsPost-deployment periodVeterans Affairs (VA) electronic health record dataWeight gainDisorder diagnosisOverweight/obeseOverweight/obesityWeight management servicesElectronic health record dataAccelerated weight gainHealth record dataWeight gain trajectoriesBMI growth ratePost-deployment veteransRelevant psychiatric diagnosisMedical visitsPotential confoundersNew Dawn veteransPsychiatric diagnosisWomen veteransWeight trajectoriesTreatment interventions
2016
Statistical Models for the Analysis of Zero-Inflated Pain Intensity Numeric Rating Scale Data
Goulet JL, Buta E, Bathulapalli H, Gueorguieva R, Brandt CA. Statistical Models for the Analysis of Zero-Inflated Pain Intensity Numeric Rating Scale Data. Journal Of Pain 2016, 18: 340-348. PMID: 27919777, DOI: 10.1016/j.jpain.2016.11.008.Peer-Reviewed Original ResearchConceptsStatistical modelStatistical methodsExcess of zerosAlternative statistical methodsFollowing statistical modelsNumeric rating scaleNRS scoresDiscrete valuesOrdinal dataLarge cohortLinear modelCumulative logit modelMusculoskeletal disordersRight-skewed distributionZerosObservational cross-sectional studyInterpretability of resultsMean NRS painPainful musculoskeletal disordersPredictor effectsVeterans Affairs (VA) carePain intensity dataCross-sectional studyNRS dataDiagnosis date
2010
Differential changes in body mass index after retirement by occupation: hierarchical models
Gueorguieva R, Sindelar JL, Wu R, Gallo WT. Differential changes in body mass index after retirement by occupation: hierarchical models. International Journal Of Public Health 2010, 56: 111-116. PMID: 20625792, PMCID: PMC3154720, DOI: 10.1007/s00038-010-0166-z.Peer-Reviewed Original ResearchConceptsBMI trajectoriesBody mass indexBody mass index (BMI) patternsMass indexHealth habitsBlue-collar occupationsOlder individualsJob physical demandsOccupational classBlue-collar workersNational dataSignificant increaseDifferential changesWhite-collar occupationsPhysical demandsCollar workersSocioeconomic characteristicsIncidence of tardive dyskinesia with atypical versus conventional antipsychotic medications: a prospective cohort study.
Woods SW, Morgenstern H, Saksa JR, Walsh BC, Sullivan MC, Money R, Hawkins KA, Gueorguieva RV, Glazer WM. Incidence of tardive dyskinesia with atypical versus conventional antipsychotic medications: a prospective cohort study. The Journal Of Clinical Psychiatry 2010, 71: 463-74. PMID: 20156410, PMCID: PMC3109728, DOI: 10.4088/jcp.07m03890yel.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAmbulatory CareAntipsychotic AgentsCohort StudiesCommunity Mental Health CentersConnecticutDiagnostic and Statistical Manual of Mental DisordersDyskinesia, Drug-InducedFemaleHumansIncidenceLongitudinal StudiesMaleMental DisordersMiddle AgedPrevalenceProspective StudiesPsychiatric Status Rating ScalesRisk FactorsSeverity of Illness IndexConceptsProspective cohort studyConventional antipsychoticsTardive dyskinesiaAtypical antipsychoticsCohort studyPrevious prospective cohort studyCommunity mental health centerConventional antipsychotic medicationsMental health centersAntipsychotic medicationHealth centersBaseline evaluationAntipsychoticsNew diagnosisDyskinesiaClinical practicePsychiatric outpatientsRecent exposureIncidencePrevious visitPrevious studiesPrevalenceSubjectsCurrent studyMost previous studies
2009
The Impact of Occupation on Self-Rated Health: Cross-Sectional and Longitudinal Evidence from the Health and Retirement Survey
Gueorguieva R, Sindelar JL, Falba TA, Fletcher JM, Keenan P, Wu R, Gallo WT. The Impact of Occupation on Self-Rated Health: Cross-Sectional and Longitudinal Evidence from the Health and Retirement Survey. The Journals Of Gerontology Series B 2009, 64B: 118-124. PMID: 19196689, PMCID: PMC2654983, DOI: 10.1093/geronb/gbn006.Peer-Reviewed Original ResearchConceptsSelf-reported healthOlder individualsSelf-reported health statusSignificant baseline differencesSelf-rated healthHealth habitsBaseline differencesOccupation-related differencesHealth statusHealth trajectoriesImpact of occupationKey covariatesStudy sampleSignificant differencesRetirement StudyHealthOccupational categoriesRetirement SurveyLongitudinal evidenceIndividual ageOccupational differencesIndividualsDifferences