2023
Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020
Dhingra L, Aminorroaya A, Oikonomou E, Nargesi A, Wilson F, Krumholz H, Khera R. Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020. JAMA Network Open 2023, 6: e2316634. PMID: 37285157, PMCID: PMC10248745, DOI: 10.1001/jamanetworkopen.2023.16634.Peer-Reviewed Original ResearchConceptsHealth Information National Trends SurveyUS adultsExacerbate disparitiesWearable device usersCardiovascular diseaseCardiovascular healthPopulation-based cross-sectional studySelf-reported cardiovascular diseaseCardiovascular disease risk factorsNational Trends SurveyOverall US adult populationCardiovascular risk factor profileSelf-reported accessAssociated with lower useUse of wearable devicesImprove cardiovascular healthLower household incomeLower educational attainmentUS adult populationRisk factor profileNationally representative sampleCross-sectional studyProportion of adultsTrends SurveyWearable device data
2022
Racial and Ethnic Disparities in Financial Barriers Among Overweight and Obese Adults Eligible for Semaglutide in the United States
Lu Y, Liu Y, Krumholz HM. Racial and Ethnic Disparities in Financial Barriers Among Overweight and Obese Adults Eligible for Semaglutide in the United States. Journal Of The American Heart Association 2022, 11: e025545. PMID: 36172953, PMCID: PMC9673703, DOI: 10.1161/jaha.121.025545.Peer-Reviewed Original ResearchConceptsLow family incomeEligible populationUsual sourceHispanic adultsFinancial barriersEthnic disparitiesNutrition Examination Survey 2015Drug Administration labelingCross-sectional analysisFamily incomePercentage of adultsObese adultsNational HealthUS adultsSemaglutideEligibility criteriaSocial determinantsBlack adultsLarge proportionFinal analysisWeight lossHispanic individualsWhite individualsAdultsRisk reduction
2021
Obesity Prevalence and Risks Among Chinese Adults
Mu L, Liu J, Zhou G, Wu C, Chen B, Lu Y, Lu J, Yan X, Zhu Z, Nasir K, Spatz ES, Krumholz HM, Zheng X. Obesity Prevalence and Risks Among Chinese Adults. Circulation Cardiovascular Quality And Outcomes 2021, 14: e007292. PMID: 34107739, PMCID: PMC8204767, DOI: 10.1161/circoutcomes.120.007292.Peer-Reviewed Original ResearchConceptsAbdominal obesitySocio-demographic subgroupsSocio-demographic associationsOverall obesityHigh riskMillion Persons ProjectEpidemic of obesityAge-standardized ratesCommunity-dwelling adultsAssociation of ageMultivariable mixed modelsObesity prevalenceOlder womenLower riskObesityOlder menChinese adultsPrevalenceWomenRiskMenPersons ProjectSubgroupsAssociationAdults
2020
Assessment of Prevalence, Awareness, and Characteristics of Isolated Systolic Hypertension Among Younger and Middle-Aged Adults in China
Mahajan S, Feng F, Hu S, Lu Y, Gupta A, Murugiah K, Gao Y, Lu J, Liu J, Zheng X, Spatz ES, Zhang H, Krumholz HM, Li J. Assessment of Prevalence, Awareness, and Characteristics of Isolated Systolic Hypertension Among Younger and Middle-Aged Adults in China. JAMA Network Open 2020, 3: e209743. PMID: 33289843, PMCID: PMC7724558, DOI: 10.1001/jamanetworkopen.2020.9743.Peer-Reviewed Original ResearchConceptsMiddle-aged adultsSystolic hypertensionCardiac Events Million Persons ProjectOlder individualsIsolated systolic hypertensionManagement of ISHMillion Persons ProjectPrevalence of ISHPrevious cardiovascular eventsSystolic blood pressureTypes of hypertensionAssessment of prevalenceCross-sectional studyHypertension subtypesCardiovascular eventsBlood pressureChina PatientMean ageHypertensionMAIN OUTCOMEAwareness ratePrevalenceAged adultsYoung adultsAdults
2018
Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease
Emdin CA, Khera AV, Chaffin M, Klarin D, Natarajan P, Aragam K, Haas M, Bick A, Zekavat SM, Nomura A, Ardissino D, Wilson JG, Schunkert H, McPherson R, Watkins H, Elosua R, Bown MJ, Samani NJ, Baber U, Erdmann J, Gupta N, Danesh J, Chasman D, Ridker P, Denny J, Bastarache L, Lichtman JH, D’Onofrio G, Mattera J, Spertus JA, Sheu W, Taylor KD, Psaty BM, Rich SS, Post W, Rotter JI, Chen YI, Krumholz H, Saleheen D, Gabriel S, Kathiresan S. Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease. Nature Communications 2018, 9: 1613. PMID: 29691411, PMCID: PMC5915445, DOI: 10.1038/s41467-018-03911-8.Peer-Reviewed Original ResearchConceptsPLOF variantsProtein-coding genetic variantsFunction variantsCoronary artery diseaseBody fat distributionType 2 diabetesEssential splice siteProtein functionEffector transcriptsUK Biobank participantsIdentifies variantsStop codonMetabolic traitsArtery diseaseSplice siteAllergic diseasesAssociation analysisCardiometabolic diseasesAdditional diseaseFat distributionGenetic variantsBiobank participantsDiseaseBiological effectsVariantsComparison of Prevalence, Awareness, Treatment, and Control of Cardiovascular Risk Factors in China and the United States
Lu Y, Wang P, Zhou T, Lu J, Spatz ES, Nasir K, Jiang L, Krumholz HM. Comparison of Prevalence, Awareness, Treatment, and Control of Cardiovascular Risk Factors in China and the United States. Journal Of The American Heart Association 2018, 7: e007462. PMID: 29374046, PMCID: PMC5850247, DOI: 10.1161/jaha.117.007462.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsAttitude of Health PersonnelBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesChinaDiabetes MellitusDyslipidemiasFemaleHealth Knowledge, Attitudes, PracticeHealth Status DisparitiesHumansHypertensionHypolipidemic AgentsLipidsLongitudinal StudiesMaleMiddle AgedNutrition SurveysObesityPractice Patterns, Physicians'PrevalencePrognosisRisk AssessmentRisk FactorsTime FactorsUnited StatesWaist CircumferenceConceptsHigher stroke prevalenceCardiovascular risk factorsHigh-sensitivity C-reactive proteinBody mass indexC-reactive proteinRisk factorsBlood pressureWaist circumferenceMass indexStroke prevalenceCardiovascular risk factor profileHigher mean blood pressureControl of hypertensionMean blood pressureBlood pressure levelsRisk factor profileComparison of prevalenceRepresentative population sampleLower ratesDyslipidemia awarenessSevere hypertensionHemoglobin A1cHypertension treatmentControl ratePlasma glucose
2013
Prevalence of Traditional Cardiac Risk Factors and Secondary Prevention Among Patients Hospitalized for Acute Myocardial Infarction (AMI): Variation by Age, Sex, and Race
Leifheit-Limson EC, Spertus JA, Reid KJ, Jones SB, Vaccarino V, Krumholz HM, Lichtman JH. Prevalence of Traditional Cardiac Risk Factors and Secondary Prevention Among Patients Hospitalized for Acute Myocardial Infarction (AMI): Variation by Age, Sex, and Race. Journal Of Women's Health 2013, 22: 659-666. PMID: 23841468, DOI: 10.1089/jwh.2012.3962.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAged, 80 and overBlack or African AmericanBody Mass IndexCounselingDiabetes Mellitus, Type 2FemaleHospitalizationHumansHypercholesterolemiaHypertensionLife StyleMaleMiddle AgedMyocardial InfarctionObesityPrevalenceProspective StudiesRisk FactorsSecondary PreventionSex FactorsSmokingSmoking CessationSocioeconomic FactorsWhite PeopleConceptsCardiac risk factorsAcute myocardial infarctionSecondary prevention effortsTraditional cardiac risk factorsLipid-lowering medicationsRisk factorsWhite patientsAMI patientsMyocardial infarctionPrevention effortsGreater risk factor burdenMultiple cardiac risk factorsRisk factor burdenYoung black patientsYoung white patientsSecondary prevention strategiesRisk factor prevalenceHigh-risk subgroupsMultiple risk factorsBlack womenAge-sex groupsOlder patientsSecondary preventionYounger patientsFactor prevalence
2012
Body Mass Index and Mortality in Acute Myocardial Infarction Patients
Bucholz EM, Rathore SS, Reid KJ, Jones PG, Chan PS, Rich MW, Spertus JA, Krumholz HM. Body Mass Index and Mortality in Acute Myocardial Infarction Patients. The American Journal Of Medicine 2012, 125: 796-803. PMID: 22483510, PMCID: PMC3408565, DOI: 10.1016/j.amjmed.2012.01.018.Peer-Reviewed Original ResearchConceptsBody mass indexHigher body mass indexAcute myocardial infarctionMyocardial infarctionLower mortalityObesity paradoxMass indexAssociation of BMIMedian body mass indexCox proportional hazards regressionAcute myocardial infarction patientsImpact of obesityRegistry of patientsProportional hazards regressionMyocardial infarction patientsContinuous variablesDomains of patientsDiabetes subgroupsClinical characteristicsMultivariable adjustmentHeart failurePatient characteristicsBMI groupsDiabetes mellitusHazards regression
2010
Patterns of moderate and vigorous physical activity in obese and overweight compared with non‐overweight children
DORSEY KB, HERRIN J, KRUMHOLZ HM. Patterns of moderate and vigorous physical activity in obese and overweight compared with non‐overweight children. Pediatric Obesity 2010, 6: e547-e555. PMID: 20883127, PMCID: PMC3815589, DOI: 10.3109/17477166.2010.490586.Peer-Reviewed Original ResearchConceptsVigorous physical activityOW/OBNon-overweight childrenMVPA boutsPhysical activityGreater body mass index z-scoreVPA boutsOW/OB groupBody mass index z-scoreMean daily MVPANon-overweight groupLess physical activityIndex z-scoreMinutes of MVPANon-overweight peersObese childrenObese participantsOverweight childrenOB groupDaily MVPASustained MVPADistinct patternsOB participantsMVPAConsecutive boutsDo Self- or Parent-Reported Dietary, Physical Activity, and Sedentary Behaviors Predict Worsening Obesity in Children?
Dorsey KB, Mauldon M, Magraw R, Yu S, Krumholz HM. Do Self- or Parent-Reported Dietary, Physical Activity, and Sedentary Behaviors Predict Worsening Obesity in Children? The Journal Of Pediatrics 2010, 157: 566-571. PMID: 20542293, PMCID: PMC2936814, DOI: 10.1016/j.jpeds.2010.04.062.Peer-Reviewed Original ResearchConceptsBMI z-scoreRisk factorsZ-scoreFamily historySedentary behaviorPhysical activityRisk behaviorsRoutine healthcare visitsPhysical activity behaviorHealthcare visitsObese patientsDiabetes mellitusObese childrenAcanthosis nigricansMedical recordsPediatric cliniciansBMI valuesObesityRandom effects regression analysisGreater riskActivity behaviorOverweightPatientsRegression analysisVisitsApplying Practice Recommendations for the Prevention and Treatment of Obesity in Children and Adolescents
Dorsey KB, Mauldon M, Magraw R, Valka J, Yu S, Krumholz HM. Applying Practice Recommendations for the Prevention and Treatment of Obesity in Children and Adolescents. Clinical Pediatrics 2010, 49: 137-145. PMID: 20080520, DOI: 10.1177/0009922809346567.Peer-Reviewed Original ResearchConceptsCross-sectional analysisObese patientsFifth visitDocumentation of BMIFirst clinic visitTreatment of obesityLongitudinal analysisIndividual risk behaviorsClinic visitsClinician adherenceMedical recordsWeight managementObesity preventionFirst visitClinicians' attentionRisk behaviorsPatientsPractice recommendationsVisitsOverweightBMIPreventionAdherenceTreatmentObesity
2007
Predictors of weight change in overweight patients with myocardial infarction
Fadl YY, Krumholz HM, Kosiborod M, Masoudi FA, Peterson PN, Reid KJ, Weintraub WS, Buchanan DM, Spertus JA. Predictors of weight change in overweight patients with myocardial infarction. American Heart Journal 2007, 154: 711-717. PMID: 17892997, DOI: 10.1016/j.ahj.2007.06.006.Peer-Reviewed Original ResearchConceptsPost-MI patientsMyocardial infarctionOverweight patientsWeight changeWeight lossDepression 1 monthMean weight changePercent weight changeMultivariable linear regressionBaseline obesityOverweight survivorsMorbid obesityObese patientsProspective cohortMultivariable analysisIndependent correlatesWeight managementLifestyle characteristicsPatientsMean increasePREMIER studyHealth insuranceMonthsOverweightInfarction
2006
AHA/ACC Guidelines for Secondary Prevention for Patients With Coronary and Other Atherosclerotic Vascular Disease: 2006 Update Endorsed by the National Heart, Lung, and Blood Institute
Smith S, Allen J, Blair S, Bonow R, Brass L, Fonarow G, Grundy S, Hiratzka L, Jones D, Krumholz H, Mosca L, Pasternak R, Pearson T, Pfeffer M, Taubert K. AHA/ACC Guidelines for Secondary Prevention for Patients With Coronary and Other Atherosclerotic Vascular Disease: 2006 Update Endorsed by the National Heart, Lung, and Blood Institute. Journal Of The American College Of Cardiology 2006, 47: 2130-2139. PMID: 16697342, DOI: 10.1016/j.jacc.2006.04.026.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAngiotensin II Type 1 Receptor BlockersAngiotensin-Converting Enzyme InhibitorsAtherosclerosisCardiovascular AgentsCoronary Artery DiseaseDiabetes MellitusDyslipidemiasHealth BehaviorHematologic AgentsHumansHypertensionHypolipidemic AgentsInfluenza VaccinesMineralocorticoid Receptor AntagonistsMotor ActivityObesitySmoking Cessation
2005
Diagnosis, Evaluation, and Treatment of Childhood Obesity in Pediatric Practice
Dorsey KB, Wells C, Krumholz HM, Concato J. Diagnosis, Evaluation, and Treatment of Childhood Obesity in Pediatric Practice. JAMA Pediatrics 2005, 159: 632-638. PMID: 15996996, DOI: 10.1001/archpedi.159.7.632.Peer-Reviewed Original ResearchConceptsBody mass indexRisk of overweightHospital-based clinicsHealth maintenance visitsRate of diagnosisType of treatmentComorbid diseasesMass indexOverweight childrenChildhood obesityMedical recordsTreatment recommendationsHigh burdenPediatric practiceRoutine screeningOverweightClinical practiceMaintenance visitsDiagnosisEncounter notesFormal diagnosisTreatmentChildrenSingle-parent householdsRiskThe Obesity Paradox: Body Mass Index and Outcomes in Patients With Heart Failure
Curtis JP, Selter JG, Wang Y, Rathore SS, Jovin IS, Jadbabaie F, Kosiborod M, Portnay EL, Sokol SI, Bader F, Krumholz HM. The Obesity Paradox: Body Mass Index and Outcomes in Patients With Heart Failure. JAMA Internal Medicine 2005, 165: 55-61. PMID: 15642875, DOI: 10.1001/archinte.165.1.55.Peer-Reviewed Original ResearchConceptsBody mass indexHeart failureDigitalis Investigation Group trialBaseline body mass indexStable heart failureStudy of patientsLean patientsObese patientsMass indexHealthy weightAdverse outcomesChronic diseasesGroup trialsGeneral populationStable outpatientsBetter outcomesPatientsOutcomesOverweightObesityOutpatientsDiseaseTrials
2003
Efficacy and Safety of Low-Carbohydrate Diets: A Systematic Review
Bravata DM, Sanders L, Huang J, Krumholz HM, Olkin I, Gardner CD, Bravata DM. Efficacy and Safety of Low-Carbohydrate Diets: A Systematic Review. JAMA 2003, 289: 1837-1850. PMID: 12684364, DOI: 10.1001/jama.289.14.1837.Peer-Reviewed Original ResearchConceptsLow-carbohydrate dietSerum insulin levelsDiet durationSerum lipidsBlood pressureInsulin levelsSerum glucoseWeight lossAge 50 yearsParticipant weight lossLonger diet durationEnglish-language studiesSignificant adverse effectsObese patientsDietary interventionMean ageOutpatient settingCaloric intakeInclusion criteriaTotal caloriesAbstraction formCalorie intakeInsufficient evidenceSystematic reviewOutpatient recipients
2001
An Evidence-Based Assessment of Federal Guidelines for Overweight and Obesity as They Apply to Elderly Persons
Heiat A, Vaccarino V, Krumholz HM. An Evidence-Based Assessment of Federal Guidelines for Overweight and Obesity as They Apply to Elderly Persons. JAMA Internal Medicine 2001, 161: 1194-1203. PMID: 11343442, DOI: 10.1001/archinte.161.9.1194.Peer-Reviewed Original ResearchConceptsCardiovascular mortalityElderly personsCause mortalityMortality riskCoronary heart disease eventsIdeal weightUS clinical guidelinesHeart disease eventsSignificant prognostic factorsTreatment of overweightBaseline health statusExcess mortality riskRelative mortality riskBody mass indexMiddle-aged populationHigher BMI valuesAdditional pertinent articlesEnglish-language studiesSpecific age groupsPrognostic factorsMass indexSignificant positive associationHealthy weightPrognostic importanceClinical guidelines