2020
Association Between Industry Payments to Physicians and Device Selection in ICD Implantation
Annapureddy AR, Henien S, Wang Y, Minges KE, Ross JS, Spatz ES, Desai NR, Peterson PN, Masoudi FA, Curtis JP. Association Between Industry Payments to Physicians and Device Selection in ICD Implantation. JAMA 2020, 324: 1755-1764. PMID: 33141208, PMCID: PMC7610190, DOI: 10.1001/jama.2020.17436.Peer-Reviewed Original ResearchMeSH KeywordsAgedCardiac Resynchronization Therapy DevicesCross-Sectional StudiesDefibrillators, ImplantableFemaleHumansIncomeMaleManufacturing IndustryPhysiciansRegistriesConceptsCRT-D implantationCRT-D devicesCross-sectional studyNational Cardiovascular Data Registry ICD RegistryFirst-time ICDFirst-time implantationProportion of patientsEntire study cohortDevice selectionProportion of devicesICD implantationICD RegistryPrimary outcomeCardiac resynchronizationStudy cohortPatient groupMAIN OUTCOMEPatientsPhysiciansICDAbsolute differenceImplantationManufacturer CHigher total paymentsAssociation
2018
Industry Payments to Cardiologists
Annapureddy A, Murugiah K, Minges KE, Chui PW, Desai N, Curtis JP. Industry Payments to Cardiologists. Circulation Cardiovascular Quality And Outcomes 2018, 11: e005016. PMID: 30562077, DOI: 10.1161/circoutcomes.118.005016.Peer-Reviewed Original ResearchAssociation of the US Department of Justice Investigation of Implantable Cardioverter-Defibrillators and Devices Not Meeting the Medicare National Coverage Determination, 2007-2015
Desai NR, Bourdillon PM, Parzynski CS, Brindis RG, Spatz ES, Masters C, Minges KE, Peterson P, Masoudi FA, Oetgen WJ, Buxton A, Zipes DP, Curtis JP. Association of the US Department of Justice Investigation of Implantable Cardioverter-Defibrillators and Devices Not Meeting the Medicare National Coverage Determination, 2007-2015. JAMA 2018, 320: 63-71. PMID: 29971398, PMCID: PMC6583049, DOI: 10.1001/jama.2018.8151.Peer-Reviewed Original ResearchConceptsPrimary prevention ICDsNon-Medicare beneficiariesAbsolute decreaseNational Cardiovascular Data Registry ICD RegistrySerial cross-sectional analysisStudy periodImplantable cardioverter defibrillatorRelative decreaseCross-sectional analysisProportion of devicesInitial ICDICD RegistryPrimary preventionCardioverter defibrillatorMAIN OUTCOMEMedicare beneficiariesUS hospitalsHospital groupHospitalICDMore rapid decreasesModest decreaseDepartmentMedicareUS Department
2017
Correlates of overweight and obesity in 5529 adolescents with type 1 diabetes: The T1D Exchange Clinic Registry
Minges KE, Whittemore R, Weinzimer SA, Irwin ML, Redeker NS, Grey M. Correlates of overweight and obesity in 5529 adolescents with type 1 diabetes: The T1D Exchange Clinic Registry. Diabetes Research And Clinical Practice 2017, 126: 68-78. PMID: 28214669, PMCID: PMC5401652, DOI: 10.1016/j.diabres.2017.01.012.Peer-Reviewed Original ResearchConceptsT1D Exchange Clinic RegistryType 1 diabetesRace/ethnicityClinic registryWeight statusHigher oddsHispanic/Latino race/ethnicityLatino race/ethnicityOverweight/obesityPrevalence of overweightCorrelates of overweightAllied healthcare providersLogistic regression analysisDiverse race/ethnicityMultinomial logistic regression analysisSelf-management factorsAnnual household incomeObesity preventionFemale genderObesityOverweightHealthcare providersOlder ageT1DLonger duration
2015
General Life and Diabetes-Related Stressors in Early Adolescents With Type 1 Diabetes
Chao AM, Minges KE, Park C, Dumser S, Murphy KM, Grey M, Whittemore R. General Life and Diabetes-Related Stressors in Early Adolescents With Type 1 Diabetes. Journal Of Pediatric Health Care 2015, 30: 133-142. PMID: 26234658, PMCID: PMC4733440, DOI: 10.1016/j.pedhc.2015.06.005.Peer-Reviewed Original Research
2014
Weight Status, Gender, and Race/Ethnicity
Minges KE, Chao A, Nam S, Grey M, Whittemore R. Weight Status, Gender, and Race/Ethnicity. The Journal Of School Nursing 2014, 31: 135-145. PMID: 25312400, PMCID: PMC4363285, DOI: 10.1177/1059840514554089.Peer-Reviewed Original ResearchConceptsRace/ethnicityPhysical activityScreen timeWeight statusHealthy behaviorsOverweight/obese adolescentsHigh physical activityLess screen timeLimited screen timeLogistic regression analysisPublic health guidelinesNormal weightObese adolescentsPA guidelinesAdequate fruitHealth guidelinesMost adolescentsSignificant differencesRegression analysisOverall sampleAdolescentsDiverse urban adolescentsDescriptive statisticsUrban adolescentsGuidelinesSelf-Management in Early Adolescence and Differences by Age at Diagnosis and Duration of Type 1 Diabetes
Chao A, Whittemore R, Minges KE, Murphy KM, Grey M. Self-Management in Early Adolescence and Differences by Age at Diagnosis and Duration of Type 1 Diabetes. The Science Of Diabetes Self-Management And Care 2014, 40: 167-177. PMID: 24470042, PMCID: PMC4160727, DOI: 10.1177/0145721713520567.Peer-Reviewed Original ResearchMeSH KeywordsAdaptation, PsychologicalAdolescentAdolescent BehaviorBlood Glucose Self-MonitoringChildCross-Sectional StudiesDiabetes Mellitus, Type 1Diet, DiabeticDirective CounselingExerciseFemaleHealth Knowledge, Attitudes, PracticeHumansMaleParentsPatient Education as TopicSelf CareSurveys and QuestionnairesUnited StatesConceptsDiabetes care activitiesShorter diabetes durationDiabetes durationCare activitiesLonger durationDiabetes self-management activitiesDuration of diabetesSelf-management supportSelf-management activitiesMultisite clinical trialClinical characteristicsCross-sectional designSchool-aged childrenClinical trialsDiabetes goalsTherapy typeTargeted educationType 1Self-ManagementDiagnosisBaseline dataDiabetesAge childrenAgeDuration
2011
Evaluation of a resistance training program for adults with or at risk of developing diabetes: an effectiveness study in a community setting
Minges KE, Cormick G, Unglik E, Dunstan DW. Evaluation of a resistance training program for adults with or at risk of developing diabetes: an effectiveness study in a community setting. International Journal Of Behavioral Nutrition And Physical Activity 2011, 8: 50. PMID: 21612648, PMCID: PMC3127967, DOI: 10.1186/1479-5868-8-50.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAustraliaBody CompositionCross-Sectional StudiesData CollectionDiabetes Mellitus, Type 2Evidence-Based PracticeFemaleFollow-Up StudiesHealth PromotionHumansLongitudinal StudiesMaleMiddle AgedMotor ActivityObesityRegression AnalysisResistance TrainingRetrospective StudiesTime FactorsWaist CircumferenceConceptsResistance training programType 2 diabetesWaist circumferenceUpper body strengthFunctional measuresBody strengthLower bodyMean waist circumferenceSignificant time effectTraining programCentral obesityPhysical functionWeek assessmentFavorable health benefitsDiabetesEffectiveness studiesStudy designConclusionsThese findingsRetrospective assessmentBaselineHealth benefitsCircumferenceSignificant decreaseLongitudinal studyFitness facilities