2024
Social isolation and firearm secure storage in the USA: results from the 2022 BRFSS.
Testa A, Semenza D, Jackson D, Fu K, McKay S, Ganson K, Nagata J, Tsai J. Social isolation and firearm secure storage in the USA: results from the 2022 BRFSS. Injury Prevention 2024, ip-2024-045468. PMID: 39578054, DOI: 10.1136/ip-2024-045468.Peer-Reviewed Original ResearchSocial isolationBehavioral Risk Factor Surveillance SystemFirearm storageRisk Factor Surveillance SystemStored firearmsFirearm safety educationPublic health strategiesFeelings of social isolationMultinomial logistic regression analysisIssues of social isolationMultinomial logistic regressionUnintentional injuriesLogistic regression analysisHealth strategiesLogistic regressionSurveillance systemSafety educationPsychological stateRegression analysisRespondentsFirearmBRFSSStorage practicesGeographic and psychosocial correlates of homelessness or unstable housing among US veterans in the Midwest
Umucu E, Lee B, Chang C, Szymkowiak D, Tsai J. Geographic and psychosocial correlates of homelessness or unstable housing among US veterans in the Midwest. American Journal Of Community Psychology 2024, 74: 142-151. PMID: 38747475, DOI: 10.1002/ajcp.12751.Peer-Reviewed Original ResearchVeterans Integrated Service NetworkUnstable housingMental health conditionsStably housed veteransAssociated with increased riskMultivariate logistic regression analysisLogistic regression analysisIntegrated services networksPsychosocial correlatesUS veteransHealth conditionsCorrelates of homelessnessRural locationsVeteransLocation scoreStudy cohortIncarceration experienceMidwestern stateRegression analysisRisky behaviorsHomelessnessService networkGeographical characteristicsCareHousing
2023
Firearm Ownership Among a Nationally Representative Sample of U.S. Veterans
Fischer I, Aunon F, Nichter B, Hill M, Panza K, Kline A, Na P, Tsai J, Harpaz-Rotem I, Pietrzak R. Firearm Ownership Among a Nationally Representative Sample of U.S. Veterans. American Journal Of Preventive Medicine 2023, 65: 1129-1133. PMID: 37354925, DOI: 10.1016/j.amepre.2023.06.013.Peer-Reviewed Original ResearchConceptsU.S. veteransMultivariable logistic regression analysisLogistic regression analysisAlcohol use disorderSuicide prevention effortsU.S. military veteransNationally Representative SampleMale sexTrauma burdenNational HealthRepresentative sampleFirearm ownershipChi-square analysisUse disordersFirearm safetyIndependent sample t-testLifetime historyVeterans StudyPrevention effortsPsychiatric variablesMilitary veteransVeteransRegression analysisT-testSignificant main effect
2022
Prevalence and characteristics associated with firearm ownership among low-income U.S. veterans
Tsai J, Testa A, Pietrzak R, Elbogen E. Prevalence and characteristics associated with firearm ownership among low-income U.S. veterans. Military Psychology 2022, 35: 132-141. PMID: 37133491, PMCID: PMC10013543, DOI: 10.1080/08995605.2022.2086415.Peer-Reviewed Original ResearchConceptsU.S. veteransMental health characteristicsLogistic regression analysisU.S. veteran populationMental health correlatesHierarchical logistic regression analysisU.S. military veteransClinical characteristicsAssociated sociodemographicFirearm ownershipHealth characteristicsVeteran populationSignificant associationTrauma exposureHealth correlatesPrevalenceMilitary veteransVeteransRegression analysisFirearm misuseRepresentative studyFirearm ownersSociodemographicsTraumaDemographic and socioeconomic correlates of suicide deaths and nonfatal self-injury related hospital visits: An analysis of counties in New York State
Edwards ER, Gromatsky M, Dichiara A, Goodman M, Tsai J, Geraci A, Geraci J. Demographic and socioeconomic correlates of suicide deaths and nonfatal self-injury related hospital visits: An analysis of counties in New York State. Psychiatry Research 2022, 309: 114407. PMID: 35091159, DOI: 10.1016/j.psychres.2022.114407.Peer-Reviewed Original ResearchConceptsSuicide deathsSocioeconomic disadvantageVeteran suicide ratesLower household incomeGeneral population suicidesCommunity risk factorsHigher disabilityHospital visitsRisk factorsSocial disintegrationOutpatient servicesVeteran populationBivariate analysisCommunity correlatesHospitalizationNew York StateSocioeconomic correlatesRegression analysisSuicideAnalysis of countiesSuicide ratesDeathCorrelatesHousehold income
2016
Linking Typologies of Childhood Adversity to Adult Incarceration: Findings From a Nationally Representative Sample
Roos LE, Afifi TO, Martin CG, Pietrzak RH, Tsai J, Sareen J. Linking Typologies of Childhood Adversity to Adult Incarceration: Findings From a Nationally Representative Sample. American Journal Of Orthopsychiatry 2016, 86: 584-593. PMID: 27078049, DOI: 10.1037/ort0000144.Peer-Reviewed Original ResearchConceptsAdverse child experiencesLatent class analysisChildhood maltreatmentLogistic regression analysisSubstance use problemsNationally Representative SampleRisk factorsRepresentative sampleChildhood adversityPreventative effortsIncarceration riskLow adversityUse problemsRegression analysisRiskMaltreatment experiencesClass analysisMaltreatmentIncarceration
2014
Predictors of Attendance in a Group-Based Model of Case Management for Supported Housing
Tsai J, Stefanovics E, Rosenheck RA. Predictors of Attendance in a Group-Based Model of Case Management for Supported Housing. Psychiatric Rehabilitation Journal 2014, 37: 324-328. PMID: 24684180, DOI: 10.1037/prj0000059.Peer-Reviewed Original ResearchConceptsGroup attendersCase managementMore mental health symptomsMental health symptomsPredictors of attendanceMental health problemsPeer support modelClinical characteristicsGroup attendanceHealth problemsHealth symptomsVeterans AffairsPast monthAttendersMore daysSignificant differencesRegression analysisAdministrative dataMonthsGroupPredictorsGroup-based modelsAttendanceAttendance recordsSymptoms
2013
Obesity among Chronically Homeless Adults: Is it a Problem?
Tsai J, Rosenheck RA. Obesity among Chronically Homeless Adults: Is it a Problem? Public Health Reports 2013, 128: 29-36. PMID: 23277657, PMCID: PMC3514718, DOI: 10.1177/003335491312800105.Peer-Reviewed Original ResearchConceptsHomeless adultsFood insecurity-obesity paradoxMental healthPrevalence of obesityHealth service useRates of obesityHealth care providersMultivariate regression analysisNormal weightLess exerciseService useObesityWeight groupParticular riskAdultsObeseOverweightRegression analysisCommunity sampleHomeless populationExerciseHealthPrevalenceSociodemographicsRange of factors
2011
Social Integration of People with Severe Mental Illness: Relationships Between Symptom Severity, Professional Assistance, and Natural Support
Tsai J, Desai RA, Rosenheck RA. Social Integration of People with Severe Mental Illness: Relationships Between Symptom Severity, Professional Assistance, and Natural Support. The Journal Of Behavioral Health Services & Research 2011, 39: 144-157. PMID: 22161471, DOI: 10.1007/s11414-011-9266-7.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrief Psychiatric Rating ScaleCommunity Mental Health ServicesConnecticutCross-Sectional StudiesHumansInterviews as TopicMaleMental DisordersMiddle AgedOutcome Assessment, Health CareProfessional-Patient RelationsRegression AnalysisSeverity of Illness IndexSocial SupportSocioeconomic FactorsConceptsMental health servicesSevere clinical problemSevere mental illnessHealth servicesClinical problemMental illnessRecovery-oriented mental health servicesPublic mental health centersProfessional supportCross-sectional studyMental health centersMental health providersMale outpatientsNatural social supportHealth centersHealth providersSymptom severityMultiple regression analysisRegression analysisMale clientsIllnessSocial supportProfessional assistanceHierarchical multiple regression analysisNatural supports