2022
Factors associated with sleep health in young women after breast cancer treatment
Hwang Y, Conley S, Jeon S, Redeker N, Sanft T, Knobf M. Factors associated with sleep health in young women after breast cancer treatment. Research In Nursing & Health 2022, 45: 680-692. PMID: 36102624, DOI: 10.1002/nur.22264.Peer-Reviewed Original ResearchConceptsPoor sleep healthSleep healthCognitive appraisalPittsburgh Sleep Quality IndexWorse family functioningBreast cancerPsychological symptom distressYoung womenContext of familyFamily functioningDiverse cancer survivorsRoutine survivorship carePsychosocial variablesCross-sectional designMediation effectSleep Quality IndexSleep health disparitiesBreast cancer treatmentSignificant clinical problemPsychosocial factorsNon-Hispanic whitesHalf of participantsSurvivorship careCancer survivorsMean ageImproving Breast Cancer Family Caregivers’ Palliative Care Literacy: A Pilot Randomized Trial
Schulman-Green D, Linsky S, Blatt L, Jeuland J, Kapo J, Jeon S. Improving Breast Cancer Family Caregivers’ Palliative Care Literacy: A Pilot Randomized Trial. Journal Of Family Nursing 2022, 29: 99-114. PMID: 35670155, DOI: 10.1177/10748407221099541.Peer-Reviewed Original ResearchConceptsCancer family caregiversCaregiver burdenFamily caregiversPilot Randomized TrialRandomized trialsMean agePreliminary efficacyCancer carePatient goalsIntervention participantsCare conversationsCare communicationCaregiver activitiesFurther studiesTrialsCaregiversBurdenTraining programParticipantsPatientsEthnic minoritiesIllnessFamily managementActivityLack of goals
2021
Determinants of elevated depressive symptoms in Chinese women with gestational diabetes mellitus
Huang S, Wischik DL, Whittemore R, Jeon S, Qing L, Guo J. Determinants of elevated depressive symptoms in Chinese women with gestational diabetes mellitus. Birth 2021, 49: 289-297. PMID: 34927281, DOI: 10.1111/birt.12605.Peer-Reviewed Original ResearchConceptsGestational diabetes mellitusElevated depressive symptomsDepressive symptomsChinese womenDiabetes mellitusPregnant womenMultiple logistic regression analysisMore emergency room visitsEpidemiological Survey Depression ScaleEmergency room visitsCross-sectional studyLogistic regression analysisRoom visitsActive coping skillsMean ageDepression ScaleSecondary data analysisHigher oddsHigh riskHealth outcomesHan ethnicitySymptomsWomenMellitusRegression analysis
2020
Pilot study of combined aerobic and resistance exercise on fatigue for patients with head and neck cancer: Inflammatory and epigenetic changes
Xiao C, Beitler JJ, Higgins KA, Chico CE, Withycombe JS, Zhu Y, Zhao H, Lin IH, Li F, Jeon S, Irwin M, Bruner DW, Miller AH, Gary R. Pilot study of combined aerobic and resistance exercise on fatigue for patients with head and neck cancer: Inflammatory and epigenetic changes. Brain Behavior And Immunity 2020, 88: 184-192. PMID: 32330594, PMCID: PMC7415514, DOI: 10.1016/j.bbi.2020.04.044.Peer-Reviewed Original ResearchConceptsExercise groupInflammatory markersChair standNeck cancerBiceps curlSoluble TNF receptor IIMultidimensional Fatigue Inventory-20Tumor necrosis factor αPilot studyResistance exercise interventionTNF receptor IIPlasma interleukin-6Anti-inflammatory effectsC-reactive proteinPhysical function measuresIL1 receptor antagonistHand grip strengthNecrosis factor αIntensity-modulated radiotherapyStandard careExercise interventionWalk distanceRadiotherapy regimenHNC patientsMean age
2018
The Association Between HIV Infection and the Use of Palliative Care in Patients Hospitalized With Heart Failure
Feder SL, Tate JP, Akgün KM, Womack JA, Jeon S, Funk M, Bedimo RJ, Budoff MJ, Butt AA, Crothers K, Redeker NS. The Association Between HIV Infection and the Use of Palliative Care in Patients Hospitalized With Heart Failure. American Journal Of Hospice And Palliative Medicine® 2018, 36: 228-234. PMID: 30304939, PMCID: PMC7457998, DOI: 10.1177/1049909118804465.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedCase-Control StudiesCD4 Lymphocyte CountComorbidityFemaleHeart FailureHIV InfectionsHospitalizationHumansLength of StayLogistic ModelsMaleMiddle AgedPalliative CarePatient DischargeRespiration, ArtificialRisk FactorsSex FactorsUnited StatesUnited States Department of Veterans AffairsConceptsHeart failureHIV infectionHIV-1 RNAPalliative careVeterans Health AdministrationHospitalized patientsHIV characteristicsPrimary diagnosisVeterans Aging Cohort StudyPalliative care useVentricular ejection fractionAging Cohort StudyCells/Case-control studyConditional logistic regressionDiseases NinthCohort studyEjection fractionPrimary outcomeVHA patientsDischarge dateMean ageCare useSevere diseaseAdjusted model
2016
Knowledge of Cancer Stage among Women with Nonmetastatic Breast Cancer
Hinchey J, Goldberg J, Linsky S, Linsky R, Jeon S, Schulman-Green D. Knowledge of Cancer Stage among Women with Nonmetastatic Breast Cancer. Journal Of Palliative Medicine 2016, 19: 314-317. PMID: 26855201, PMCID: PMC8109048, DOI: 10.1089/jpm.2015.0133.Peer-Reviewed Original ResearchConceptsChronic Disease Self-Efficacy ScaleElectronic medical recordsMedical Communication Competence ScaleControl Preferences ScaleCancer stageBreast cancerCare optionsStage I breast cancerI breast cancerNonmetastatic breast cancerStage of diseaseSelf-management interventionsStage of cancerEarly cancer stagesNonmetastatic diseaseClinical variablesMean ageHospital AnxietyMedical recordsIllness ScaleDepression ScalePatient understandingPatient's abilityStage IIIYounger age
2014
Relationships among patients’ ability to identify their cancer stage, knowledge of care options, and management of transitions.
Hinchey J, Goldberg J, Linsky S, Linsky R, Jeon S, Schulman-Green D. Relationships among patients’ ability to identify their cancer stage, knowledge of care options, and management of transitions. Journal Of Clinical Oncology 2014, 32: 224-224. DOI: 10.1200/jco.2014.32.31_suppl.224.Peer-Reviewed Original ResearchElectronic medical recordsCancer stageBreast cancerCare optionsStage IV breast cancerNon-metastatic breast cancerStage I breast cancerI breast cancerStage of diseaseStage of cancerEarly cancer stagesSelf-management studiesSample of womenNonmetastatic diseaseClinical variablesMean ageMedical recordsStage IIIYounger ageStage IICancerLogistic regressionPatientsWomenDisease
2012
An Internet Obesity Prevention Program for Adolescents
Whittemore R, Jeon S, Grey M. An Internet Obesity Prevention Program for Adolescents. Journal Of Adolescent Health 2012, 52: 439-447. PMID: 23299003, PMCID: PMC3608746, DOI: 10.1016/j.jadohealth.2012.07.014.Peer-Reviewed Original ResearchConceptsBody mass indexObesity prevention programsHealth behaviorsPrevention programsHealth outcomesMean body mass indexSelect health outcomesRandomized clinical trialsDiverse race/ethnicityBehavioural support programmeRace/ethnicityMass indexMean ageClinical trialsPhysical activitySedentary behaviorMixed model analysisNutrition behaviorsTreat proceduresHealth educationCluster randomizationExcellent participationSignificant differencesDifferential effectsHigh satisfaction