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 ResearchMeSH KeywordsAdultAgedBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMaleObesityPrevalenceRisk FactorsWaist CircumferenceConceptsAbdominal 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
Heterogeneity in Trajectories of Systolic Blood Pressure among Young Adults in Qingdao Port Cardiovascular Health Study
Lin H, Cui M, Spatz ES, Wang Y, Lu J, Li J, Li S, Huang C, Liu X, Jiang L, Krumholz HM, Xu X. Heterogeneity in Trajectories of Systolic Blood Pressure among Young Adults in Qingdao Port Cardiovascular Health Study. Global Heart 2020, 15: 20. PMID: 32489793, PMCID: PMC7218791, DOI: 10.5334/gh.764.Peer-Reviewed Original ResearchConceptsSystolic blood pressureHigher systolic blood pressureCardiovascular Health StudyBlood pressureYoung adultsHealth StudyEffective blood pressure controlBaseline systolic blood pressureInitial systolic blood pressureGreater body mass indexBlood pressure controlBody mass indexGreater waist circumferenceBaseline health characteristicsSBP trendsWaist circumferenceMass indexSBP trajectoriesAdvanced ageOrdinal logistic regressionRisk factorsCardiovascular diseaseFamily historyHealth characteristicsHigh school education
2018
Association of Body Mass Index With Blood Pressure Among 1.7 Million Chinese Adults
Linderman GC, Lu J, Lu Y, Sun X, Xu W, Nasir K, Schulz W, Jiang L, Krumholz HM. Association of Body Mass Index With Blood Pressure Among 1.7 Million Chinese Adults. JAMA Network Open 2018, 1: e181271-e181271. PMID: 30646115, PMCID: PMC6324286, DOI: 10.1001/jamanetworkopen.2018.1271.Peer-Reviewed Original ResearchConceptsBody mass indexSystolic blood pressureBlood pressureAntihypertensive medicationsMass indexMean (SD) BMIMean (SD) systolic BPIncrease of BPUnit body mass indexPrimary health care sitesComprehensive subgroup analysisMillion Persons ProjectDiastolic blood pressureSubgroup of patientsCross-sectional studyElectronic BP monitorsHealth care sitesSubgroup of individualsUntreated subgroupSubgroup analysisCare sitesBP monitorMAIN OUTCOMEChinese adultsChinese populationComparison 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
2016
Underweight, Markers of Cachexia, and Mortality in Acute Myocardial Infarction: A Prospective Cohort Study of Elderly Medicare Beneficiaries
Bucholz EM, Krumholz HA, Krumholz HM. Underweight, Markers of Cachexia, and Mortality in Acute Myocardial Infarction: A Prospective Cohort Study of Elderly Medicare Beneficiaries. PLOS Medicine 2016, 13: e1001998. PMID: 27093615, PMCID: PMC4836735, DOI: 10.1371/journal.pmed.1001998.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overBody Mass IndexCachexiaComorbidityFemaleFrail ElderlyGeriatric AssessmentHospital MortalityHumansInsurance BenefitsKaplan-Meier EstimateMaleMedicareMyocardial InfarctionNutrition AssessmentNutritional StatusPrevalencePrognosisProportional Hazards ModelsProspective StudiesRisk AssessmentRisk FactorsThinnessTime FactorsUnited StatesConceptsLower body mass indexNormal weight patientsBody mass indexAcute myocardial infarctionUnderweight patientsWeight patientsSubset of patientsHigh riskFrailty measuresLaboratory markersMyocardial infarctionMedicare beneficiariesNutritional statusCox proportional hazards regressionUnderweight body mass indexMarkers of cachexiaLong-term mortalityProspective cohort studyCohort-based studyMeasures of frailtyProportional hazards regressionCooperative Cardiovascular ProjectElderly Medicare beneficiariesImportant risk factorSignificant chronic illness
2015
Qingdao Port Cardiovascular Health Study: a prospective cohort study
Spatz ES, Jiang X, Lu J, Masoudi FA, Spertus JA, Wang Y, Li X, Downing NS, Nasir K, Du X, Li J, Krumholz HM, Liu X, Jiang L. Qingdao Port Cardiovascular Health Study: a prospective cohort study. BMJ Open 2015, 5: e008403. PMID: 26656011, PMCID: PMC4679897, DOI: 10.1136/bmjopen-2015-008403.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAsian PeopleBody Mass IndexCardiovascular DiseasesChinaCohort StudiesCost of IllnessDiabetes Mellitus, Type 2Early DiagnosisEnvironmental ExposureFemaleHealth BehaviorHealth SurveysHumansHyperlipidemiasHypertensionIncidenceMaleMiddle AgedOccupational ExposurePhysical ExaminationPreventive Health ServicesProspective StudiesRisk FactorsSelf ReportSocioeconomic FactorsWorkplaceConceptsAnnual health assessmentCardiovascular diseaseRisk factorsUnique risk factor profileCardiovascular risk factorsClinical risk factorsProspective cohort studyRisk factor profileHospital medical recordsCardiovascular Health StudyPopulation-based studyPopulation-based strategiesHealth assessmentCardiovascular outcomesCohort studyCarotid ultrasoundMean agePhysical examinationCardiovascular healthHeart diseaseMedical recordsDisease onsetMedical insurance claimsHealth StudyUrine analysisExcess weight and life expectancy after acute myocardial infarction: The obesity paradox reexamined
Bucholz EM, Beckman AL, Krumholz HA, Krumholz HM, conducted. B. Excess weight and life expectancy after acute myocardial infarction: The obesity paradox reexamined. American Heart Journal 2015, 172: 173-181. PMID: 26856230, PMCID: PMC5097250, DOI: 10.1016/j.ahj.2015.10.024.Peer-Reviewed Original ResearchConceptsNormal weight patientsAcute myocardial infarctionBody mass indexHigher body mass indexLong-term survivalObese patientsOverweight patientsObesity paradoxExcess weightMyocardial infarctionLife expectancyTime of AMIHigher crude mortalityTime pointsShort-term mortalityCooperative Cardiovascular ProjectMedical record studyProportional hazards modelYears of ageMorbid obesityOlder patientsSurvival benefitYounger patientsCrude mortalityBMI groupsMedication Initiation Burden Required to Comply With Heart Failure Guideline Recommendations and Hospital Quality Measures
Allen LA, Fonarow GC, Liang L, Schulte PJ, Masoudi FA, Rumsfeld JS, Ho PM, Eapen ZJ, Hernandez AF, Heidenreich PA, Bhatt DL, Peterson ED, Krumholz HM. Medication Initiation Burden Required to Comply With Heart Failure Guideline Recommendations and Hospital Quality Measures. Circulation 2015, 132: 1347-1353. PMID: 26316616, PMCID: PMC4941099, DOI: 10.1161/circulationaha.115.014281.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBody Mass IndexCardiovascular AgentsComorbidityContraindicationsCross-Sectional StudiesDrug HypersensitivityDrug PrescriptionsDrug SubstitutionDrug Therapy, CombinationDrug UtilizationEvidence-Based MedicineFemaleGuideline AdherenceHeart FailureHospitalsHumansMaleMedication AdherenceMiddle AgedPatient AdmissionPatient DischargePolypharmacyPractice Guidelines as TopicQuality Assurance, Health CareConceptsHF quality measuresHydralazine/isosorbide dinitrateAngiotensin receptor blockersMedication groupHeart failureAldosterone antagonistsReceptor blockersMedication regimenIsosorbide dinitrateNew medicationsΒ-blockersEnzyme inhibitorsGuideline-directed medical therapyInitiation of angiotensinPrimary discharge diagnosisQuarter of patientsPatient's medication regimenHospital quality measuresAdequate prescribingMedication initiationHospital dischargeHospital admissionMedical therapyGuideline recommendationsDischarge diagnosisFrequency and Effects of Excess Dosing of Anticoagulants in Patients ≤55 Years With Acute Myocardial Infarction Who Underwent Percutaneous Coronary Intervention (from the VIRGO Study)
Gupta A, Chui P, Zhou S, Spertus JA, Geda M, Lorenze N, Lee I, Onofrio G, Lichtman JH, Alexander KP, Krumholz HM, Curtis JP. Frequency and Effects of Excess Dosing of Anticoagulants in Patients ≤55 Years With Acute Myocardial Infarction Who Underwent Percutaneous Coronary Intervention (from the VIRGO Study). The American Journal Of Cardiology 2015, 116: 1-7. PMID: 25937348, PMCID: PMC4466069, DOI: 10.1016/j.amjcard.2015.03.032.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge DistributionAngioplasty, Balloon, CoronaryAnticoagulantsAntithrombinsBody Mass IndexCohort StudiesFemaleHemorrhageHeparinHirudinsHumansMaleMiddle AgedMyocardial InfarctionPeptide FragmentsPercutaneous Coronary InterventionPlatelet Glycoprotein GPIIb-IIIa ComplexPrevalenceRecombinant ProteinsRisk AssessmentRisk FactorsSex DistributionTreatment OutcomeUnited StatesConceptsPercutaneous coronary interventionGlycoprotein IIb/IIIa inhibitorsIIb/IIIa inhibitorsExcess dosingAcute myocardial infarctionCoronary interventionMultivariable analysisMyocardial infarctionUnderwent Percutaneous Coronary InterventionLower body weightOlder patientsYounger patientsUnfractionated heparinMedical recordsUnivariate analysisAnticoagulant agentsAnticoagulant drugsBody weightPatientsDosingYounger ageLogistic regressionYoung womenAnticoagulantsGender-based differences
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
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 householdsRiskDiscovering the Full Spectrum of Cardiovascular Disease
Benjamin EJ, Jessup M, Flack JM, Krumholz HM, Liu K, Nadkarni VM, Rhoades DA, Rodriguez BL, Scott RP, Taylor MP, Velazquez EJ, Winkleby MA. Discovering the Full Spectrum of Cardiovascular Disease. Circulation 2005, 111: e124-33. PMID: 15769754, DOI: 10.1161/01.cir.0000157742.95689.65.Peer-Reviewed Original ResearchAdolescentAdultAge FactorsAgedArteriosclerosisAsianBlack or African AmericanBody Mass IndexCardiovascular DiseasesChildCohort StudiesComorbidityFemaleGlucose IntoleranceHawaiiHealth SurveysHumansIncidenceIndians, North AmericanJapanMaleMexican AmericansMiddle AgedMinority GroupsRisk FactorsSex FactorsUnited StatesWhite PeopleThe 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