2024
Evaluating differences in receipt of survivorship care plan among cancer survivors with and without disabilities
Sarkar S, Zaidi M, Raziani Y, Poghosyan H. Evaluating differences in receipt of survivorship care plan among cancer survivors with and without disabilities. Supportive Care In Cancer 2024, 32: 637. PMID: 39235704, DOI: 10.1007/s00520-024-08796-6.Peer-Reviewed Original ResearchConceptsSurvivorship care plan receiptSurvivorship care plansDisability countCancer survivorsCare planningReceipt of survivorship care plansMethodsWe analyzed cross-sectional dataBehavioral Risk Factor Surveillance SystemFollow-up care instructionsRisk Factor Surveillance SystemSelf-reported cancer historyTreatment adherenceSelf-care difficultiesMultinomial multivariable logistic regressionIndependent living difficultiesPromote treatment adherenceMultivariate logistic regressionCancer survivorshipCross-sectional dataTreatment summarySelf-careCancer historyNo disabilityLiving difficultiesResultsThe sampleA Brief Report of Lung Cancer Screening Utilization Before, During, and in the Later Stages of the COVID-19 Pandemic in the United States
Poghosyan H, Sarkar S, Richman I, Pietrzak R, Carter-Bawa L, Cooley M. A Brief Report of Lung Cancer Screening Utilization Before, During, and in the Later Stages of the COVID-19 Pandemic in the United States. JTO Clinical And Research Reports 2024, 5: 100705. PMID: 39282662, PMCID: PMC11402037, DOI: 10.1016/j.jtocrr.2024.100705.Peer-Reviewed Original ResearchLung cancer screeningLung cancer screening utilizationScreening utilizationBehavioral Risk Factor Surveillance SystemRates of lung cancer screeningRisk Factor Surveillance SystemScreening-eligible individualsCancer screening utilizationLung cancer burdenPopulation-based dataMultivariate logistic regressionCancer screeningCancer burdenImpact healthcareNational ratesIncreased oddsLogistic regressionNationwide effortSurveillance systemCOVID-19COVID-19 pandemicLung diseaseBrief reportNo sex differencesUnited StatesAssociation between adverse childhood experiences and self-reported health-risk behaviors among cancer survivors: A population-based study
Sarkar S, Jackson B, Manzo L, Jeon S, Poghosyan H. Association between adverse childhood experiences and self-reported health-risk behaviors among cancer survivors: A population-based study. PLOS ONE 2024, 19: e0299918. PMID: 38512934, PMCID: PMC10956880, DOI: 10.1371/journal.pone.0299918.Peer-Reviewed Original ResearchConceptsHealth risk behaviorsSelf-reported health risk behaviorsAdverse childhood experiencesHistory of adverse childhood experiencesOdds of reportingCancer survivorsE-cigarette useIncreased odds of reportingReport adverse childhood experiencesPrevalence of adverse childhood experiencesSelf-reportAlcohol drinkingHigher odds of reportingAdult cancer survivorsE-cigarettesSurvivor self-reportPrevent health risk behaviorsAdverse childhood experience historyChildhood experiencesAssociated with health risk behaviorsCigarette smokingHistory of cancerPopulation-based studyPrimary independent variableMultivariate logistic regression
2023
Investigating Racial and Ethnic Differences in Diabetes Self-Management Education Among Adults With Diabetes
Akyirem S, Choa E, Poghosyan H. Investigating Racial and Ethnic Differences in Diabetes Self-Management Education Among Adults With Diabetes. The Science Of Diabetes Self-Management And Care 2023, 49: 206-216. PMID: 37129292, DOI: 10.1177/26350106231169693.Peer-Reviewed Original ResearchConceptsDiabetes self-management educationDiabetes self-management education participantsSelf-management educationNon-Hispanic blacksNon-Hispanic whitesSocial determinants of health factorsEthnic differencesReduce health disparitiesImprove diabetes outcomesSelf-reported diabetesWeighted descriptive statisticsLower-level educationMultivariate logistic regressionCross-sectional dataHealth disparitiesDiabetes careDiabetes outcomesDiabetes ModuleHealth factorsPopulation-basedHispanic participantsReport participationDescriptive statisticsHispanic populationLogistic regression
2022
Evaluation of social connectedness, loneliness, and anxiety among cancer survivors during the 2020-2021 winter surge of COVID-19 pandemic.
Poghosyan H, Yu J. Evaluation of social connectedness, loneliness, and anxiety among cancer survivors during the 2020-2021 winter surge of COVID-19 pandemic. Journal Of Clinical Oncology 2022, 40: 12061-12061. DOI: 10.1200/jco.2022.40.16_suppl.12061.Peer-Reviewed Original ResearchDecreased social connectednessCancer survivorsSocial connectednessIncreased feelingsSelf-reported socio-demographicSelf-reported cancer historySelf-reportWinter surgeComplex survey designSelf-reported raceCross-sectional studyMultivariate logistic regressionSurge of COVID-19Levels of stressCancer historyHealth careMental healthMedicare beneficiariesHigher oddsSocio-demographicMetropolitan residentsLogistic regressionPhone surveyLimited researchSurvey design
2021
Association between daily and non-daily cannabis use and depression among United States adult cancer survivors
Poghosyan H, Noonan E, Badri P, Braun I, Young G. Association between daily and non-daily cannabis use and depression among United States adult cancer survivors. Nursing Outlook 2021, 69: 672-685. PMID: 33581859, DOI: 10.1016/j.outlook.2021.01.012.Peer-Reviewed Original ResearchConceptsCancer survivorsBehavioral Risk Factor Surveillance System surveyIncreased odds of depressionAdult cancer survivorsOdds of depressionCannabis useWeighted descriptive statisticsEvidence-informed discussionsSelf-reported depressionNationally representative sampleMultivariate logistic regressionPopulation-basedSystem surveyIncreased oddsDescriptive statisticsRepresentative sampleOpen communicationLogistic regressionIncreased riskNone-usersSurvivorsDepressionPrevalenceCancerAssociationDifferences in Uptake of Low-Dose CT Scan for Lung Cancer among White and Black Adult Smokers in the United States-2017.
Poghosyan H, Fortin D, Moen E, Quigley K, Young G. Differences in Uptake of Low-Dose CT Scan for Lung Cancer among White and Black Adult Smokers in the United States-2017. Journal Of Health Care For The Poor And Underserved 2021, 32: 165-178. PMID: 33678689, DOI: 10.1353/hpu.2021.0016.Peer-Reviewed Original ResearchConceptsLow-dose computerized tomographyLDCT scansLung Cancer Screening ModuleBehavioral Risk Factor Surveillance SystemAdult smokersRisk Factor Surveillance SystemStudy racial/ethnic differencesPack-year smoking historyMultivariate logistic regressionCross-sectional dataHigh blood pressureLung cancerCancer historyRacial/ethnic differencesLow-dose CT scansPack-yearsHealth insuranceLogistic regressionRacial differencesSurveillance systemScreening moduleSmoking historyCT scanOddsLung disease
2020
Worry About the Future Health Issues of Smoking and Intention to Screen for Lung Cancer With Low-Dose Computed Tomography
Poghosyan H, Mello S, Robinson K, Tan A. Worry About the Future Health Issues of Smoking and Intention to Screen for Lung Cancer With Low-Dose Computed Tomography. Cancer Nursing 2020, 45: e146-e152. PMID: 34870941, PMCID: PMC8649175, DOI: 10.1097/ncc.0000000000000897.Peer-Reviewed Original ResearchConceptsIssue of smokingLung cancer screeningLow-dose computed tomographyRecommending lung cancer screeningHealth issuesBenefits of lung cancer screeningRates of lung cancer screeningCross-sectional online surveyFuture health issuesLung cancerMultivariate logistic regressionCancer screeningHealthcare providersSocioeconomic differencesEligible adultsComputed tomographyAdult smokersLogistic regressionExpressed worriesSmokingHealthLong-term prognosisSmoking historyDiagnosis of lung cancerModerately/veryMarijuana 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