2024
Proposed Mechanisms and Associations of COVID-19 with Cardiometabolic Risk Factors.
Reddy K, Faridi K, Aggarwal M, Tirumalai A, Singh T, Tejtel K, Williams K, Litwin S, Dastmalchi L, White B, Barnard N, Ornish D, Batts T, Ajene G, Aspry K, Kris Etherton P, Hull S, Freeman A. Proposed Mechanisms and Associations of COVID-19 with Cardiometabolic Risk Factors. American Journal Of Lifestyle Medicine 2024, 15598276241269532. PMID: 39540176, PMCID: PMC11556543, DOI: 10.1177/15598276241269532.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCardiometabolic riskLifestyle choicesCardiovascular diseaseHealthy lifestyle choicesCardiometabolic risk factorsHealth promotionReduce disease burdenCode BlueCardiovascular healthDisease preventionCOVID-19 morbidityPoor nutritionDisease burdenCOVID-19Disease burden resultsPublic healthGlobal leading causeLeading causeRisk factorsAssociation of COVID-19HealthLifestyleBurden resultsNutritionCardiovascular medicineEffects of a dietary intervention on cardiometabolic risk and food consumption in a workplace
Shrestha A, Tamrakar D, Ghinanju B, Shrestha D, Khadka P, Adhikari B, Shrestha J, Waiwa S, Pyakurel P, Bhandari N, Karmacharya B, Shrestha A, Shrestha R, Bhatta R, Malik V, Mattei J, Spiegelman D. Effects of a dietary intervention on cardiometabolic risk and food consumption in a workplace. PLOS ONE 2024, 19: e0301826. PMID: 38656951, PMCID: PMC11042715, DOI: 10.1371/journal.pone.0301826.Peer-Reviewed Original ResearchConceptsConsumption of whole grainsHealthy foodPre-post intervention studyWhole grainsMedian consumptionCardiovascular risk factor profileRisk factor profileBlood pressureWorksite settingWorksite interventionsUnhealthy foodsHealth programsMeasured blood pressurePre-hypertensionCardiometabolic riskDiastolic blood pressureIntervention studiesFactors dietPaired-t testFactor profileFasting glucose levelsDhulikhel HospitalHospital premisesEmployee healthHospital employeesFemale adolescents’ early life stress and body mass index: Differential effects of anger and anxiety in response to rejection
Lee S, Jao N, Gaffey A, Reid B, Vergara‐Lopez C, Bublitz M, Stroud L. Female adolescents’ early life stress and body mass index: Differential effects of anger and anxiety in response to rejection. Journal Of Adolescence 2024, 96: 830-840. PMID: 38402417, DOI: 10.1002/jad.12302.Peer-Reviewed Original ResearchEarly life stressBMI-for-ageResponses to rejectionRejection sensitivityLife stressBody mass indexFemale adolescentsChildren's Rejection Sensitivity QuestionnaireHigher early life stressRejection Sensitivity QuestionnaireExperiencing early life stressEffects of angerMass indexHigher BMI-for-ageHigher body mass indexAssess angerDevelopmental perspectiveAngerAnxietyCardiometabolic riskSensitivity QuestionnaireAdolescentsChildhood obesityDifferential effectsSecondary data analysis
2023
The evil relationship between liver fibrosis and cardiovascular disease in metabolic dysfunction-associated fatty liver disease (MAFLD): Looking for the culprit
Fabris L, Campello E, Cadamuro M, Simioni P. The evil relationship between liver fibrosis and cardiovascular disease in metabolic dysfunction-associated fatty liver disease (MAFLD): Looking for the culprit. Biochimica Et Biophysica Acta (BBA) - Molecular Basis Of Disease 2023, 1870: 166763. PMID: 37951510, DOI: 10.1016/j.bbadis.2023.166763.Peer-Reviewed Original ResearchMetabolic dysfunction-associated fatty liver diseaseFatty liver diseaseCardiovascular diseaseLiver diseaseInsulin resistanceLiver fibrosisMajor public health problemPublic health problemMAFLD patientsMAFLD progressionCardiometabolic riskMetabolic syndromeOverall mortalityHepatic repairHepatic fibrogenesisHepatic componentGeneral populationTherapeutic targetingHealth problemsTranslational potentialFibrosisDiseaseGenetic factorsRisk profilingStrongest predictorUncovering heterogeneous cardiometabolic risk profiles in US adults: the role of social and behavioral determinants of health
Ding Q, Lu Y, Herrin J, Zhang T, Marrero D. Uncovering heterogeneous cardiometabolic risk profiles in US adults: the role of social and behavioral determinants of health. BMJ Open Diabetes Research & Care 2023, 11: e003558. PMID: 37699720, PMCID: PMC10503393, DOI: 10.1136/bmjdrc-2023-003558.Peer-Reviewed Original ResearchConceptsCardiometabolic risk profileMetabolic risk factorsRace/ethnicityUndiagnosed diabetesUS adultsRisk factorsHealthcare accessNutrition Examination Survey 1999Risk profilePre-diabetes riskPrior diabetes diagnosisExamination Survey 1999Insurance coverageShort sleep durationLower diet qualityEffective prevention strategiesLimited healthcare accessBehavioral determinantsNon-white adultsMiddle-aged adultsHealth insurance coverageLow health insurance coverageCardiometabolic riskDiabetes statusDiabetes riskAssociation between age at menarche and cardiometabolic risk among Samoan adults
Oyama S, Duckham R, Pomer A, Rivara A, Kershaw E, Wood A, Fidow U, Naseri T, Reupena M, Viali S, McGarvey S, Hawley N. Association between age at menarche and cardiometabolic risk among Samoan adults. American Journal Of Human Biology 2023, 36: e23982. PMID: 37668413, PMCID: PMC10845161, DOI: 10.1002/ajhb.23982.Peer-Reviewed Original ResearchConceptsCardiometabolic riskOne-year increaseSubsequent cardiometabolic riskOdds of hypertensionHigher total cholesterolOdds of diabetesOdds of obesityEarly life exposureFat-free massCardiometabolic morbiditySerum lipidsBlood pressureMedian ageMetabolic syndromeTotal cholesterolProspective studyChildhood adiposityInsulin resistanceObesity prevalenceLife exposureSamoan adultsLean massEarly menarcheLogistic regressionMenarche
2021
C‐reactive protein in adult Samoans: Population variation and physiological correlates
Rivara AC, Corley M, Choy CC, Duckham RL, Pomer A, Reupena MS, Viali S, Naseri T, Kershaw EE, Crouter SE, McGarvey ST, Bribiescas RG, Valeggia C, Hawley NL. C‐reactive protein in adult Samoans: Population variation and physiological correlates. American Journal Of Human Biology 2021, 34: e23646. PMID: 34260111, PMCID: PMC8758804, DOI: 10.1002/ajhb.23646.Peer-Reviewed Original ResearchConceptsC-reactive proteinBody mass indexCardiometabolic disease riskMeasures of adiposityAdult SamoansCRP correlateDisease riskSerum C-reactive proteinMeasures of BMICardiometabolic risk markersPercent body fatSex-dependent associationsCardiometabolic markersCardiometabolic riskCRP quartileMass indexUnadjusted analysesRisk markersBody fatKruskal-Wallis testAdiposityPacific Islander populationsSpearman rank correlationFirst examinationRank correlationNeonatal and Adolescent Adipocytokines as Predictors of Adiposity and Cardiometabolic Risk in Adolescence
Buck CO, Li N, Eaton CB, Kelsey KT, Cecil KM, Kalkwarf HJ, Yolton K, Lanphear BP, Chen A, Braun JM. Neonatal and Adolescent Adipocytokines as Predictors of Adiposity and Cardiometabolic Risk in Adolescence. Obesity 2021, 29: 1036-1045. PMID: 34029449, PMCID: PMC8567116, DOI: 10.1002/oby.23160.Peer-Reviewed Original ResearchConceptsCardiometabolic risk scoreAge 12 yearsAdiponectin/leptin ratioCardiometabolic risk factorsCardiometabolic riskRisk scoreAdipocytokine concentrationsLeptin ratioAdiponectin concentrationsLeptin concentrationsRisk factorsHigher cardiometabolic risk scoreIndividual cardiometabolic risk factorsDual-energy X-ray absorptiometryCardiometabolic risk outcomesPredictors of AdipositySerum adipocytokine concentrationsProspective birth cohortAssociation of changesX-ray absorptiometrySex-standardized z-scoresAdiposity outcomesExcess adiposityAdolescent adipositySerum biomarkers
2020
The Moderate Alcohol and Cardiovascular Health Trial (MACH15): Design and methods for a randomized trial of moderate alcohol consumption and cardiometabolic risk
Spiegelman D, Lovato LC, Khudyakov P, Wilkens TL, Adebamowo CA, Adebamowo SN, Appel LJ, Beulens JW, Coughlin JW, Dragsted LO, Edenberg HJ, Eriksen JN, Estruch R, Grobbee DE, Gulayin PE, Irazola V, Krystal JH, Lazo M, Murray MM, Rimm EB, Schrieks IC, Williamson JD, Mukamal KJ. The Moderate Alcohol and Cardiovascular Health Trial (MACH15): Design and methods for a randomized trial of moderate alcohol consumption and cardiometabolic risk. European Journal Of Preventive Cardiology 2020, 27: 1967-1982. PMID: 32250171, PMCID: PMC7541556, DOI: 10.1177/2047487320912376.Peer-Reviewed Original ResearchConceptsModerate alcohol consumptionCardiovascular Health TrialAlcohol consumptionHealth trialsCardiovascular diseaseModerate alcoholNon-fatal ischemic strokeNon-fatal myocardial infarctionPrimary composite endpointCongestive heart failureCoronary heart diseaseModerate alcohol consumersAdults 50 yearsPublic health guidelinesAlcohol use disorderPreferred alcoholic beverageCardiometabolic effectsCardiometabolic riskCarotid revascularizationIschemic strokeSecondary outcomesComposite endpointHeart failurePrimary outcomeMyocardial infarction
2019
Cardiometabolic Risk Factors and Benign Gynecologic Disorders.
AlAshqar A, Patzkowsky K, Afrin S, Wild R, Taylor HS, Borahay MA. Cardiometabolic Risk Factors and Benign Gynecologic Disorders. Obstetrical & Gynecological Survey 2019, 74: 661-673. PMID: 31755543, PMCID: PMC6986276, DOI: 10.1097/ogx.0000000000000718.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsCardiometabolic risk factorsBenign gynecologic disordersRisk factorsUterine leiomyomaGynecologic disordersUterine leiomyoma pathogenesisBenign gynecologic conditionsPolycystic ovarian syndromeExtracellular matrix depositionCardiometabolic riskOvarian syndromeSystemic inflammationAtherosclerotic changesChronic inflammationGynecologic conditionsHyperestrogenic stateVitamin DInsulin resistanceDietary factorsCardiovascular diseasePreventive strategiesTherapeutic interventionsLeiomyoma pathogenesisClinical implicationsEndometriosis
2018
Improved utilization of waist‐to‐height ratio in cardiometabolic risk counselling in children: Application of DMAIC strategy
Gupta N, Lteif A, Creo A, Iqbal A, Pittock S, Tebben P, Hansen J, Heyrman M, Spee R, Scanlan‐Hanson L, Kumar S. Improved utilization of waist‐to‐height ratio in cardiometabolic risk counselling in children: Application of DMAIC strategy. Journal Of Evaluation In Clinical Practice 2018, 25: 300-305. PMID: 30378218, DOI: 10.1111/jep.13055.Peer-Reviewed Original ResearchConceptsWaist-to-height ratioMeasurement of WCWaist circumferenceCentral obesityRisk counselingSurrogate markers of central obesityMarker of central obesityQuality improvement projectCardiometabolic risk reductionAmbulatory clinical practiceOutpatient clinic settingIncreased cardiometabolic riskBody mass indexElevated WHtRMulti-disciplinary teamWC measurementsAssessment of childrenCardiometabolic riskImprovement projectWHtRDefine-measure-analyse-improve-controlOutcome measuresPaediatric clinicsMass indexProspective cohort
2016
Design and rationale of the STRIVE trial to improve cardiometabolic health among children and families
Oreskovic NM, Fletcher R, Sharifi M, Knutsen JD, Chilingirian A, Taveras EM. Design and rationale of the STRIVE trial to improve cardiometabolic health among children and families. Contemporary Clinical Trials 2016, 49: 149-154. PMID: 27417980, PMCID: PMC4969164, DOI: 10.1016/j.cct.2016.07.012.Peer-Reviewed Original ResearchConceptsHealth behaviorsSTRIVE trialPhysical activityPopulation-wide burdenChildren's health behaviorsObjective physical activityIntervention group parentsUse of mHealthScreen time dataCardiometabolic healthCardiometabolic riskWireless scaleCare recommendationsClinical recommendationsBeverage consumptionScreen timeGroup parentsTrialsAge 6Risk familiesControl parentsChildrenSleepRiskBehavior change
2015
Abdominal fat radiodensity, quantity and cardiometabolic risk: The Multi-Ethnic Study of Atherosclerosis
Shah R, Allison M, Lima J, Abbasi S, Eisman A, Lai C, Jerosch-Herold M, Budoff M, Murthy V. Abdominal fat radiodensity, quantity and cardiometabolic risk: The Multi-Ethnic Study of Atherosclerosis. Nutrition Metabolism And Cardiovascular Diseases 2015, 26: 114-122. PMID: 26817938, PMCID: PMC4775418, DOI: 10.1016/j.numecd.2015.12.002.Peer-Reviewed Original ResearchMeSH KeywordsAbdominal FatAdiponectinAdiposityAgedAtherosclerosisBiomarkersC-Reactive ProteinFemaleHumansIncidenceInsulinIntra-Abdominal FatLeptinLinear ModelsLogistic ModelsMaleMetabolic SyndromeMiddle AgedMultivariate AnalysisOdds RatioPredictive Value of TestsPrevalenceProportional Hazards ModelsRisk FactorsSubcutaneous Fat, AbdominalTomography, X-Ray ComputedUnited StatesConceptsCardiometabolic riskAssociated with prevalent MetSCardiovascular disease risk factorsMulti-Ethnic Study of AtherosclerosisMeasures of regional fat distributionAssociated with incident MetSMarkers of cardiometabolic riskIncident metabolic syndromeDisease risk factorsFat radiodensityMetabolic syndromeMulti-Ethnic StudyStudy of AtherosclerosisVisceral fat quantityIncident MetSPrevalent MetSRegional fat distributionComputed tomographyMeasure associationsFat quantityFat distributionRisk factorsCardiometabolic dysfunctionAssociated with quantityIntermuscular fat depotsBlood pressure is associated with the presence and severity of nonalcoholic fatty liver disease across the spectrum of cardiometabolic risk
Aneni EC, Oni ET, Martin SS, Blaha MJ, Agatston AS, Feldman T, Veledar E, Conçeicao RD, Carvalho JA, Santos RD, Nasir K. Blood pressure is associated with the presence and severity of nonalcoholic fatty liver disease across the spectrum of cardiometabolic risk. Journal Of Hypertension 2015, 33: 1207-1214. PMID: 25693058, DOI: 10.1097/hjh.0000000000000532.Peer-Reviewed Original ResearchConceptsNonobese hypertensive patientsPrevalence of NAFLDMetabolic risk factorsHypertensive patientsNormal BPRisk factorsHigh Blood Pressure classificationNonalcoholic fatty liver diseaseHealthy middle-aged menBlood pressure groupJoint National CommitteeDevelopment of hypertensionFatty liver diseaseYearly physical examinationMiddle-aged menBlood pressure classificationBP controlPrehypertensive patientsCardiometabolic riskCross-sectional relationshipBlood pressureNAFLD severityLiver diseaseNormotensive individualsPhysical examination
2014
Physical Activity and Physical Fitness as Determinants of Cardiometabolic Risk Factors_a Comparison between African Americans and Caucasian College Students
Many G, Ash G, Hittel D, Devaney J, Barfield W, Houmard J, Dubis G, Pescatello L, Hoffman E. Physical Activity and Physical Fitness as Determinants of Cardiometabolic Risk Factors_a Comparison between African Americans and Caucasian College Students. Medicine & Science In Sports & Exercise 2014, 46: 166. DOI: 10.1249/01.mss.0000493674.55416.ef.Peer-Reviewed Original Research
2013
Prescription of Second-Generation Antipsychotics: Responding to Treatment Risk in Real-World Practice
Hermes ED, Sernyak MJ, Rosenheck RA. Prescription of Second-Generation Antipsychotics: Responding to Treatment Risk in Real-World Practice. Psychiatric Services 2013, 64: 238-244. PMID: 23241613, DOI: 10.1176/appi.ps.201200183.Peer-Reviewed Original ResearchConceptsSecond-generation antipsychoticsProportion of patientsCardiometabolic riskCardiometabolic disordersCardiovascular diseaseSociodemographic dataSingle Veterans Affairs medical centerVeterans Affairs Medical CenterChoice of antipsychoticHigh cardiometabolic riskPatients' sociodemographic dataQuality of careAntipsychotic prescribedReal-world practicePsychiatric providersTreatment decisionsMedical CenterTreatment risksComorbid diagnosesPatientsAntipsychoticsSignificant associationModerate riskNew prescriptionsProvider sensitivity
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