2020
Marijuana use among cancer survivors: Quantifying prevalence and identifying predictors
Poghosyan H, Poghosyan A. Marijuana use among cancer survivors: Quantifying prevalence and identifying predictors. Addictive Behaviors 2020, 112: 106634. PMID: 32920457, DOI: 10.1016/j.addbeh.2020.106634.Peer-Reviewed Original ResearchConceptsBehavioral Risk Factor Surveillance System surveyPrevalence of current marijuana useCancer survivorsCurrent marijuana useAdult cancer survivorsNon-Hispanic blacksComplex survey designWeighted prevalence estimatesMarijuana useMultivariate logistic regressionFair/poor healthCross-sectional dataIndividual-level predictorsNon-HispanicPrevalence of marijuana useSystem surveyRacial/ethnic groupsQuantify prevalencePrevalence estimatesIndividual-levelLogistic regressionTobacco smokersSurvey designU.S. statesHighest prevalence
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