2019
Food insecure cancer survivors continue to smoke after their diagnosis despite not having enough to eat: implications for policy and clinical interventions
Poghosyan H, Scarpino S. Food insecure cancer survivors continue to smoke after their diagnosis despite not having enough to eat: implications for policy and clinical interventions. Cancer Causes & Control 2019, 30: 241-248. PMID: 30729359, DOI: 10.1007/s10552-019-01137-7.Peer-Reviewed Original ResearchConceptsCancer survivorsAssociated with smoking statusSmoking statusFood insecurityBehavioral Risk Factor Surveillance SystemRisk Factor Surveillance SystemFood insecurity screeningAdult cancer survivorsWeighted multivariable logistic regression modelsSocial Context ModuleSmoking cessation interventionsConfidence intervalsMultivariate logistic regression modelCross-sectional studyProgression of careIndividual-level characteristicsLogistic regression modelsCessation interventionsConclusionsFood insecurityQuit smokingQuit attemptsOdds ratioSmoking behaviorIndividual-levelOutcome variables
2018
Social and Structural Determinants of Smoking Status and Quit Attempts Among Adults Living in 12 US States, 2015
Poghosyan H, Moen E, Kim D, Manjourides J, Cooley M. Social and Structural Determinants of Smoking Status and Quit Attempts Among Adults Living in 12 US States, 2015. American Journal Of Health Promotion 2018, 33: 498-506. PMID: 30071738, DOI: 10.1177/0890117118792827.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedBehavioral Risk Factor Surveillance SystemCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPsychologyRisk FactorsSex FactorsSmokingSmoking CessationSocial Determinants of HealthSocioeconomic FactorsUnited StatesYoung AdultConceptsBehavioral Risk Factor Surveillance SystemQuit attemptsSmoking statusIntermediary determinantsMental distressSecondary data analysis of cross-sectional dataHousing insecurityRisk Factor Surveillance SystemAnalysis of cross-sectional dataFrequent mental distressAdult smoking statusSmoking cessation interventionsSocial Context ModuleNon-Hispanic blacksRacially diverse adultsSmoking cessation ratesDetermination of smoking statusSecondary data analysisEnhance smoking cessation ratesHazardous alcohol useUS statesMultinomial logistic regressionCross-sectional dataCessation interventionsCurrent smokingTobacco treatment implementation within 28 commission on cancer accredited programs in the Northeast region of the USA: A pilot study
Cooley M, Poghosyan H, Sprunck-Harrild K, Winickoff J, Edge S, Emmons K. Tobacco treatment implementation within 28 commission on cancer accredited programs in the Northeast region of the USA: A pilot study. Translational Behavioral Medicine 2018, 8: 706-713. PMID: 29528457, PMCID: PMC6454513, DOI: 10.1093/tbm/ibx024.Peer-Reviewed Original ResearchConceptsTobacco treatmentCancer survivorsCancer programsAmerican College of Surgeons Commission on CancerSmoking statusImplementation of decision aidsDeliver tobacco treatmentTobacco treatment guidelinesTobacco treatment interventionsTobacco treatment servicesTobacco control programsSystem-wide programTobacco cessation programsElectronic health recordsCommission on CancerRisk of cancer recurrenceDiagnosis of cancerCare QuestionnaireCessation supportCare deliveryIdentified smokersHealth recordsCessation programsCommunity linkagesContinued smoking
2014
The association between having a first-degree family history of cancer and smoking status
Poghosyan H, Bell J, Joseph J, Cooley M. The association between having a first-degree family history of cancer and smoking status. Preventive Medicine 2014, 66: 12-16. PMID: 24875232, DOI: 10.1016/j.ypmed.2014.05.013.Peer-Reviewed Original ResearchConceptsFirst-degree family history of cancerFamily history of cancerFirst-degree family historyHistory of cancerCalifornia Health Interview SurveyHealth-promoting behaviorsHealth Interview SurveyPoor health outcomesSmoking cessation interventionsNon-institutionalized adultsPopulation-based dataDiagnosis of cancerCross-sectional dataCessation interventionsHealth outcomesInterview SurveyFormer smokersCurrent-smokersSmoking statusNever-smokersTarget populationSurvey designSmokingSample weightDiverse sample
2012
The Impact of Computed Tomography Screening for Lung Cancer on Smoking Behaviors
Poghosyan H, Sheldon L, Cooley M. The Impact of Computed Tomography Screening for Lung Cancer on Smoking Behaviors. Cancer Nursing 2012, 35: 466-475. PMID: 22209869, DOI: 10.1097/ncc.0b013e3182406297.Peer-Reviewed Original ResearchConceptsLung cancer screeningQuit smokingCancer screeningIntegrative reviewSmoking cessationImpact of lung cancer screeningIntegrative review of literatureLung cancer symptomsOlder ageComputed tomography screeningHigher self-efficacyLung cancerAssociated with older ageComputed tomographic screeningCancer symptomsCessation interventionsQuit ratesPotential screening testTeachable momentSmoking behaviorSelf-efficacySmoking abstinenceSmokingRelevant articlesAbnormal CT findings