2019
Trends in Performance and Opportunities for Improvement on a Composite Measure of Acute Myocardial Infarction Care
Desai NR, Udell JA, Wang Y, Spatz ES, Dharmarajan K, Ahmad T, Julien HM, Annapureddy A, Goyal A, de Lemos JA, Masoudi FA, Bhatt DL, Minges KE, Krumholz HM, Curtis JP. Trends in Performance and Opportunities for Improvement on a Composite Measure of Acute Myocardial Infarction Care. Circulation Cardiovascular Quality And Outcomes 2019, 12: e004983. PMID: 30871375, DOI: 10.1161/circoutcomes.118.004983.Peer-Reviewed Original ResearchMeSH KeywordsAgedCardiology Service, HospitalFemaleGuideline AdherenceHealthcare DisparitiesHumansMaleMiddle AgedMyocardial InfarctionOutcome and Process Assessment, Health CarePractice Guidelines as TopicQuality ImprovementQuality Indicators, Health CareRacial GroupsRegistriesSex FactorsSocioeconomic FactorsTreatment OutcomeUnited StatesConceptsProportion of patientsAcute myocardial infarctionDefect-free careHispanic patientsAMI careOlder patientsCare measuresNational Cardiovascular Data Registry Acute Coronary TreatmentIntervention Outcomes Network RegistryAcute myocardial infarction careGuideline-recommended pharmacotherapyMedicaid insurance coverageSociodemographic groupsMyocardial infarction careSafety-net statusGreatest absolute improvementComposite measureQuality of careHospital-level performanceCessation counselingEvidence-based processReperfusion therapyCardiac rehabilitationCoronary TreatmentVentricular function
2016
Gender differences in physical activity following acute myocardial infarction in adults: A prospective, observational study
Minges KE, Strait KM, Owen N, Dunstan DW, Camhi SM, Lichtman J, Geda M, Dreyer RP, Bueno H, Beltrame JF, Curtis JP, Krumholz HM. Gender differences in physical activity following acute myocardial infarction in adults: A prospective, observational study. European Journal Of Preventive Cardiology 2016, 24: 192-203. PMID: 27885060, DOI: 10.1177/2047487316679905.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAustraliaCardiac RehabilitationChi-Square DistributionExerciseExercise TherapyFemaleHealth BehaviorHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedMyocardial InfarctionOdds RatioPatient ComplianceProspective StudiesRisk FactorsSex FactorsSpainTime FactorsTreatment OutcomeUnited StatesYoung AdultConceptsAcute myocardial infarctionPost-acute myocardial infarctionMyocardial infarctionPhysical activityRegular physical activity participationYoung AMI Patients (VIRGO) studyPhysical activity recommendationsAmerican Heart AssociationPhysical activity trajectoriesNon-white raceMyocardial infarction recoveryPhysical activity participationGender differencesHospital dischargeHeart AssociationLifestyle behaviorsActivity recommendationsObservational studyInfarctionAustralian hospitalsTargeted interventionsOne monthPatientsTime pointsLonger durationClinical, Psychosocial, and Demographic Factors Are Associated With Overweight and Obesity in Early Adolescent Girls With Type 1 Diabetes
Minges KE, Whittemore R, Chao AM, Jefferson V, Murphy KM, Grey M. Clinical, Psychosocial, and Demographic Factors Are Associated With Overweight and Obesity in Early Adolescent Girls With Type 1 Diabetes. The Science Of Diabetes Self-Management And Care 2016, 42: 538-548. PMID: 27302183, PMCID: PMC5957073, DOI: 10.1177/0145721716654006.Peer-Reviewed Original ResearchConceptsOverweight/obesityOverweight/obese boysNormal-weight girlsNormal weightWeight statusObese boysWeight girlsOverweight/obese girlsDemographic factorsMultiple logistic regression analysisType 1 diabetesLogistic regression analysisMultisite clinical trialAspects of healthRace/ethnicityOverweight/Clinical trialsObese girlsTherapy typeLow educational attainmentPsychosocial healthObesityMultivariate analysisBivariate analysisType 1
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 adolescentsGuidelinesNational Trends in US Hospital Admissions for Hyperglycemia and Hypoglycemia Among Medicare Beneficiaries, 1999 to 2011
Lipska KJ, Ross JS, Wang Y, Inzucchi SE, Minges K, Karter AJ, Huang ES, Desai MM, Gill TM, Krumholz HM. National Trends in US Hospital Admissions for Hyperglycemia and Hypoglycemia Among Medicare Beneficiaries, 1999 to 2011. JAMA Internal Medicine 2014, 174: 1116-1124. PMID: 24838229, PMCID: PMC4152370, DOI: 10.1001/jamainternmed.2014.1824.Peer-Reviewed Original Research