2019
Tobacco‐21 laws and young adult smoking: quasi‐experimental evidence
Friedman AS, Buckell J, Sindelar JL. Tobacco‐21 laws and young adult smoking: quasi‐experimental evidence. Addiction 2019, 114: 1816-1823. PMID: 31342591, PMCID: PMC7233410, DOI: 10.1111/add.14653.Peer-Reviewed Original ResearchThe impact of flavors, health risks, secondhand smoke and prices on young adults’ cigarette and e‐cigarette choices: a discrete choice experiment
Buckell J, Sindelar JL. The impact of flavors, health risks, secondhand smoke and prices on young adults’ cigarette and e‐cigarette choices: a discrete choice experiment. Addiction 2019, 114: 1427-1435. PMID: 30866132, PMCID: PMC6639008, DOI: 10.1111/add.14610.Peer-Reviewed Original ResearchConceptsE-cigarettesHealth harmsYoung adultsSmoking groupNational Health Interview SurveySecondhand smoke risksHealth Interview SurveyShort-term health risksHealth risksSecondhand smokeSmoking typesYoung adults' preferencesDiscrete choice experimentCigarettesInterview SurveySmoke risksAdultsOnline discrete choice experimentCensus regionRiskCigarette pricesImpact of flavourCandy flavorsGroupHealthPatterns of Youth Cigarette Experimentation and Onset of Habitual Smoking
Friedman AS, Buckell J, Sindelar JL. Patterns of Youth Cigarette Experimentation and Onset of Habitual Smoking. American Journal Of Preventive Medicine 2019, 56: 803-810. PMID: 31005466, PMCID: PMC6594175, DOI: 10.1016/j.amepre.2019.02.009.Peer-Reviewed Original Research
2018
What factors predict the passage of state‐level e‐cigarette regulations?
Maclean JC, Oney M, Marti J, Sindelar J. What factors predict the passage of state‐level e‐cigarette regulations? Health Economics 2018, 27: 897-907. PMID: 29468781, PMCID: PMC5882548, DOI: 10.1002/hec.3642.Peer-Reviewed Original Research
2016
Exploring Explanations for the Female-Male Earnings Difference Among Registered Nurses in the United States.
Muench U, Busch SH, Sindelar J, Buerhaus PI. Exploring Explanations for the Female-Male Earnings Difference Among Registered Nurses in the United States. Nursing Economics 2016, 34: 214-23. PMID: 29975036.Peer-Reviewed Original Research
2015
Salary Differences Between Male and Female Registered Nurses in the United States
Muench U, Sindelar J, Busch SH, Buerhaus PI. Salary Differences Between Male and Female Registered Nurses in the United States. JAMA 2015, 313: 1265-1267. PMID: 25803350, DOI: 10.1001/jama.2015.1487.Peer-Reviewed Original Research
2014
An evaluation of the FDA's analysis of the costs and benefits of the graphic warning label regulation
Chaloupka FJ, Warner KE, Acemoğlu D, Gruber J, Laux F, Max W, Newhouse J, Schelling T, Sindelar J. An evaluation of the FDA's analysis of the costs and benefits of the graphic warning label regulation. Tobacco Control 2014, 24: 112. PMID: 25550419, PMCID: PMC4345832, DOI: 10.1136/tobaccocontrol-2014-052022.Peer-Reviewed Original ResearchConceptsEconomic impact analysisSound economic analysisNet economic benefitsImpact analysisProminent economistsSignificant regulatory actionsEconomic analysisDrug Administration's regulatory authorityNet benefitEconomic benefitsTobacco productsGraphic warning labelsRegulatory authoritiesLabel regulationsCostTobacco product regulationRegulatory actionProduct regulationEconomistsAuthoritiesBenefitsFuture analysesRulesControl ActJurisdictions
2012
Smoke-free policies in drinking venues predict transitions in alcohol use disorders in a longitudinal U.S. sample
Young-Wolff KC, Hyland AJ, Desai R, Sindelar J, Pilver CE, McKee SA. Smoke-free policies in drinking venues predict transitions in alcohol use disorders in a longitudinal U.S. sample. Drug And Alcohol Dependence 2012, 128: 214-221. PMID: 22999418, PMCID: PMC4052952, DOI: 10.1016/j.drugalcdep.2012.08.028.Peer-Reviewed Original ResearchConceptsAlcohol use disorderSmoke-free legislationSmoke-free policiesAUD remissionUse disordersLikelihood of AUDWave IIndoor public venuesLongitudinal U.S. sampleTobacco-related diseasesYounger age groupsNational Epidemiological SurveySmoke-free barsPublic health benefitsAUD onsetHigh comorbidityProtective effectCurrent drinkersTobacco useEpidemiological surveyAge groupsLogistic regressionRelated conditionsHeavy drinkingLower likelihood
2011
UNDERSTANDING HETEROGENEITY IN PRICE ELASTICITIES IN THE DEMAND FOR ALCOHOL FOR OLDER INDIVIDUALS
Ayyagari P, Deb P, Fletcher J, Gallo W, Sindelar JL. UNDERSTANDING HETEROGENEITY IN PRICE ELASTICITIES IN THE DEMAND FOR ALCOHOL FOR OLDER INDIVIDUALS. Health Economics 2011, 22: 89-105. PMID: 22162113, PMCID: PMC3641566, DOI: 10.1002/hec.1817.Peer-Reviewed Original ResearchConceptsPrice elasticityRetirement Study dataDeadweight lossHigher taxPrice responsivenessNegative externalitiesUnobserved heterogeneityPolicy implicationsFinancial resourcesExternalitiesPricesFinite mixture modelDisadvantaged groupsElasticityLatent groupsDemandTaxGreater responsivenessOlder IndividualsStudy dataHeterogeneityImplicationsResourcesThe effect of job loss on overweight and drinking
Deb P, Gallo WT, Ayyagari P, Fletcher JM, Sindelar JL. The effect of job loss on overweight and drinking. Journal Of Health Economics 2011, 30: 317-327. PMID: 21288586, PMCID: PMC3086369, DOI: 10.1016/j.jhealeco.2010.12.009.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingBody Mass IndexFemaleHumansLongitudinal StudiesMaleMiddle AgedOverweightUnemploymentUnited States
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 characteristics
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
2007
Treatment programs in the National Drug Abuse Treatment Clinical Trials Network
McCarty D, Fuller B, Kaskutas LA, Wendt WW, Nunes EV, Miller M, Forman R, Magruder KM, Arfken C, Copersino M, Floyd A, Sindelar J, Edmundson E. Treatment programs in the National Drug Abuse Treatment Clinical Trials Network. Drug And Alcohol Dependence 2007, 92: 200-207. PMID: 17875368, PMCID: PMC2223274, DOI: 10.1016/j.drugalcdep.2007.08.004.Peer-Reviewed Original ResearchMeSH KeywordsAccreditationAlcoholismAnalysis of VarianceConfidentialityData Interpretation, StatisticalHealth Care SurveysHeroin DependenceHumansMethadoneModels, OrganizationalNarcoticsPhilosophy, MedicalQuality Assurance, Health CareResidential TreatmentSubstance Abuse Treatment CentersSubstance-Related DisordersUnited StatesWorkforceConceptsClinical Trials NetworkNational Drug Abuse Treatment Clinical Trials NetworkDrug disordersCommunity-based treatment organizationsTreatment programTrials NetworkSubstance abuse treatment servicesPatient drug useInpatient treatment unitMental health clinicsLevel of careDrug abuse treatment programsCo-occurring conditionsSelf-help meetingsPatient demographicsHealth clinicsTreatment centersTreatment servicesDrug useTreatment philosophyMedical settingsTreatment organizationsVocational servicesNational surveyUniversity-based research centerSpousal Concordance in Health Behavior Change
Falba TA, Sindelar JL. Spousal Concordance in Health Behavior Change. Health Services Research 2007, 43: 96-116. PMID: 18211520, PMCID: PMC2323137, DOI: 10.1111/j.1475-6773.2007.00754.x.Peer-Reviewed Original ResearchConceptsHealth habitsHealth behaviorsPreventive medical careHealth behavior changeCholesterol screeningFlu shotPreventive servicesMedical careSpousal concordanceAnalytic sampleRetirement StudyHRS surveyBehavior changeRepresentative sampleSpousesHabitsSpouse behaviorDisease diagnosisIndividualsLongitudinal dataSmokingDiagnosisPersonsCareDirect Care Workers in the National Drug Abuse Treatment Clinical Trials Network: Characteristics, Opinions, and Beliefs
McCarty D, Fuller BE, Arfken C, Miller M, Nunes EV, Edmundson E, Copersino M, Floyd A, Forman R, Laws R, Magruder KM, Oyama M, Prather K, Sindelar J, Wendt WW. Direct Care Workers in the National Drug Abuse Treatment Clinical Trials Network: Characteristics, Opinions, and Beliefs. Psychiatric Services 2007, 58: 181-190. PMID: 17287373, PMCID: PMC2861362, DOI: 10.1176/ps.2007.58.2.181.Peer-Reviewed Original ResearchAdultAge FactorsAlcoholismAttitude of Health PersonnelBehavior TherapyClinical Trials as TopicCognitive Behavioral TherapyCultureData CollectionDiffusion of InnovationEducational StatusEthnicityEvidence-Based MedicineFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPatient Care TeamProfessional CompetenceProfessional-Patient RelationsPsychotropic DrugsSex FactorsSocioeconomic FactorsSubstance Abuse Treatment CentersSubstance-Related DisordersUnited StatesEquity In Private Insurance Coverage For Substance Abuse: A Perspective On Parity
Barry CL, Sindelar JL. Equity In Private Insurance Coverage For Substance Abuse: A Perspective On Parity. Health Affairs 2007, 26: w706-w716. PMID: 17956926, PMCID: PMC3072843, DOI: 10.1377/hlthaff.26.6.w706.Peer-Reviewed Original Research
2006
Effects Of A Cost-Sharing Exemption On Use Of Preventive Services At One Large Employer
Busch SH, Barry CL, Vegso SJ, Sindelar JL, Cullen MR. Effects Of A Cost-Sharing Exemption On Use Of Preventive Services At One Large Employer. Health Affairs 2006, 25: 1529-1536. PMID: 17102176, DOI: 10.1377/hlthaff.25.6.1529.Peer-Reviewed Original Research
2005
Poor mental health and smoking: interactive impact on wages.
Jofre-Bonet M, Busch SH, Falba TA, Sindelar JL. Poor mental health and smoking: interactive impact on wages. The Journal Of Mental Health Policy And Economics 2005, 8: 193-203. PMID: 16385145.Peer-Reviewed Original ResearchMeSH KeywordsAdultData CollectionFemaleHumansMaleMental HealthRegression AnalysisSalaries and Fringe BenefitsSmokingUnited StatesConceptsPoor mental healthMental health problemsMental healthSmoking statusHealth problemsMental health disordersMental health statusGreater productivity lossCommunity Tracking SurveyMental health variesCurrent smokingFormer smokersSmokingHealth disordersHealth statusHealth variesDetermination of causalityWomenPositive associationPrimary aimHealthMalesProductivity lossStatusOutcomesWhat are the correlates of substance abuse treatment counselor salaries?
Olmstead TA, Johnson JA, Roman PM, Sindelar JL. What are the correlates of substance abuse treatment counselor salaries? Journal Of Substance Use And Addiction Treatment 2005, 29: 181-189. PMID: 16183467, DOI: 10.1016/j.jsat.2005.06.001.Peer-Reviewed Original ResearchThe effect of involuntary job loss on smoking intensity and relapse
Falba T, Teng H, Sindelar JL, Gallo WT. The effect of involuntary job loss on smoking intensity and relapse. Addiction 2005, 100: 1330-1339. PMID: 16128722, PMCID: PMC1351253, DOI: 10.1111/j.1360-0443.2005.01150.x.Peer-Reviewed Original ResearchConceptsCurrent smokersBaseline current smokersHistory of smokingWave 2Important health risk factorHealth risk factorsTimes greater oddsFormer smokersOlder smokersPrimary outcomeMore cigarettesSmoking intensityRisk factorsCigarette consumptionGreater oddsRelapseSmokersSmoking quantityOlder AmericansSmokingRetirement StudyWave 1Significant changesInvoluntary job lossFinancial hardship