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
Smaller Cigarette Pack as a Commitment to Smoke Less? Insights from Behavioral Economics
Marti J, Sindelar J. Smaller Cigarette Pack as a Commitment to Smoke Less? Insights from Behavioral Economics. PLOS ONE 2015, 10: e0137520. PMID: 26356844, PMCID: PMC4565702, DOI: 10.1371/journal.pone.0137520.Peer-Reviewed Original ResearchSalary 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
2013
Financial versus health motivation to quit smoking: A randomized field study
Sindelar JL, O'Malley SS. Financial versus health motivation to quit smoking: A randomized field study. Preventive Medicine 2013, 59: 1-4. PMID: 24139975, PMCID: PMC4869074, DOI: 10.1016/j.ypmed.2013.10.008.Peer-Reviewed Original ResearchIs research in substance abuse undervalued?
Sindelar JL, Strombotne KL. Is research in substance abuse undervalued? Addiction 2013, 109: 3-4. PMID: 24118168, DOI: 10.1111/add.12334.Peer-Reviewed Original ResearchRewarding Healthy Food Choices in SNAP: Behavioral Economic Applications
RICHARDS MR, SINDELAR JL. Rewarding Healthy Food Choices in SNAP: Behavioral Economic Applications. Milbank Quarterly 2013, 91: 395-412. PMID: 23758515, PMCID: PMC3696202, DOI: 10.1111/milq.12017.Peer-Reviewed Original ResearchConceptsSupplemental Nutrition Assistance ProgramBehavioural economics applicationsSNAP benefitsBehavioral economic insightsLow-income individualsEffective policy responsesNutrition Assistance ProgramSNAP fundsBehavioral economicsEconomic insightsAlternative policiesPolicy responsesEconomic applicationsLow-income populationsAdditional incentivesBehavioral impedimentsHealthy food purchasesAdministrative capacitySNAP recipientsAssistance programsFood purchasesHealthy purchasesShopping patternsNew delivery optionsPurchase
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 likelihoodOptimizing financial incentives to improve health among military personnel: Differences by pay grade and across branches
Sindelar JL, Torsiello N. Optimizing financial incentives to improve health among military personnel: Differences by pay grade and across branches. Preventive Medicine 2012, 55: s116-s117. PMID: 22673693, PMCID: PMC3641555, DOI: 10.1016/j.ypmed.2012.03.017.Peer-Reviewed Original Research
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 dataHeterogeneityImplicationsResourcesCumulative effects of job characteristics on health
Fletcher JM, Sindelar JL, Yamaguchi S. Cumulative effects of job characteristics on health. Health Economics 2011, 20: 553-570. PMID: 21433217, PMCID: PMC3066461, DOI: 10.1002/hec.1616.Peer-Reviewed Original ResearchThe 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 Research
2010
Cost evaluation of evidence-based treatments.
Sindelar JL, Ball SA. Cost evaluation of evidence-based treatments. Addiction Science & Clinical Practice 2010, 5: 44-51. PMID: 22002453, PMCID: PMC3120119.Peer-Reviewed Original ResearchDifferential 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
Work expectations, realizations, and depression in older workers.
Falba TA, Sindelar JL, Gallo WT. Work expectations, realizations, and depression in older workers. The Journal Of Mental Health Policy And Economics 2009, 12: 175-86. PMID: 20195005, PMCID: PMC3434685.Peer-Reviewed Original ResearchThe 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