2024
GLP1R Gene Expression and Kidney Disease Progression
Triozzi J, Yu Z, Giri A, Chen H, Wilson O, Ferolito B, Ikizler T, Akwo E, Robinson-Cohen C, Gaziano J, Cho K, Phillips L, Tao R, Pereira A, Hung A, Muralidhar S, Moser J, Deen J, Tsao P, Gaziano J, Hauser E, Kilbourne A, Matheny M, Oslin D, Churby L, Whitbourne S, Brewer J, Shayan S, Selva L, Pyarajan S, Cho K, DuVall S, Brophy M, Stephens B, Connor T, Argyres D, Assimes T, Hung A, Kranzler H, Aguayo S, Ahuja S, Alexander K, Androulakis X, Balasubramanian P, Ballas Z, Beckham J, Bhushan S, Boyko E, Cohen D, Dellitalia L, Faulk L, Fayad J, Fujii D, Gappy S, Gesek F, Greco J, Godschalk M, Gress T, Gupta S, Gutierrez S, Harley J, Hamner M, Hurley R, Iruvanti P, Jacono F, Jhala D, Kinlay S, Landry M, Liang P, Liangpunsakul S, Lichy J, Mahan C, Marrache R, Mastorides S, Mattocks K, Meyer P, Moorman J, Morgan T, Murdoch M, Norton J, Okusaga O, Oursler K, Poon S, Rauchman M, Servatius R, Sharma S, Smith R, Sriram P, Strollo P, Tandon N, Villareal G, Walsh J, Wells J, Whittle J, Whooley M, Wilson P, Xu J, Yeh S, Bast E, Dryden G, Hogan D, Joshi S, Lo T, Morales P, Naik E, Ong M, Petrakis I, Rai A, Yen A. GLP1R Gene Expression and Kidney Disease Progression. JAMA Network Open 2024, 7: e2440286. PMID: 39453656, PMCID: PMC11581634, DOI: 10.1001/jamanetworkopen.2024.40286.Peer-Reviewed Original ResearchConceptsGenetic association studiesKidney disease progressionRisk of kidney disease progressionVeterans Affairs Million Veteran ProgramAssociation studiesGenetic risk scoreMillion Veteran ProgramGLP-1RAsDisease progressionIncident end-stage kidney diseaseBody mass indexGlycemic controlGene expressionVeteran ProgramObesity statusMain OutcomesUnadjusted modelsGlucagon-like peptide 1 receptor agonistsStudy participantsPeptide 1 receptor agonistsAbsence of diabetesMass indexMedian Follow-UpRisk scoreGenotype-Tissue Expression project
2023
Naltrexone/bupropion for binge‐eating disorder: A randomized, double‐blind, placebo‐controlled trial
Grilo C, Lydecker J, Jastreboff A, Pittman B, McKee S. Naltrexone/bupropion for binge‐eating disorder: A randomized, double‐blind, placebo‐controlled trial. Obesity 2023, 31: 2762-2773. PMID: 37751990, PMCID: PMC10600891, DOI: 10.1002/oby.23898.Peer-Reviewed Original ResearchConceptsNaltrexone/bupropionBinge-eating disorderObesity statusLogistic regressionWeight lossPlacebo-controlled trialWeight loss outcomesPrevalent psychiatric disordersEvidence-based treatmentsPost-treatment assessmentBinge-eating frequencyGreater percentage weight lossMedication outcomesRemission ratePharmacological optionsPlaceboBupropionPsychiatric disordersPercentage weight lossMixed modelsDisordersObesityPatientsSignificant reductionWeight reductionCardiometabolic disease and obesity patterns differentially predict acute kidney injury after total joint replacement: a retrospective analysis
Leis A, Mathis M, Kheterpal S, Zawistowski M, Mukherjee B, Pace N, O'Reilly-Shah V, Smith J, Karvonen-Gutierrez C. Cardiometabolic disease and obesity patterns differentially predict acute kidney injury after total joint replacement: a retrospective analysis. British Journal Of Anaesthesia 2023, 131: 37-46. PMID: 37188560, PMCID: PMC10308436, DOI: 10.1016/j.bja.2023.04.001.Peer-Reviewed Original ResearchConceptsOdds of acute kidney injuryAcute kidney injuryCardiometabolic diseasesNon-Hispanic blacksGroup of hospitalsKidney injuryCardiometabolic patternTotal joint arthroplasty complicationsObesity statusObesity patternsIncreased oddsDisease co-occurrenceIncreased odds of AKIRetrospective analysisRisk of postoperative acute kidney injuryLatent class analysisLatent classesPostoperative acute kidney injuryRisk of acute kidney injuryRisk factorsDifferential riskTotal joint replacementMetabolic syndromeObesityPostoperative AKI riskObesity Risk Among West Point Graduates Later in Life
Szivak TK, Thomas MM, Pietrzak RH, Nguyen DR, Ryan DM, Mazure CM. Obesity Risk Among West Point Graduates Later in Life. The Journal Of Strength And Conditioning Research 2023, 37: 1284-1291. PMID: 33278268, DOI: 10.1519/jsc.0000000000003824.Peer-Reviewed Original ResearchConceptsBody mass indexPhysical activityObesity ratesMetabolic equivalentsObesity riskHigher self-reported physical activityInternational Physical Activity Questionnaire-Short FormSelf-reported physical activityWeekly metabolic equivalentLean body massU.S. adult populationQuestionnaire-Short FormLifetime obesityMass indexObesity statusBMI valuesJ Strength Cond ResHealth initiativesAdult populationGreater riskWomenMenObesityShort formResiliency factorsThe Association Between Body Mass Index And Functional Status In Minority Patients With Heart Failure With Preserved Ejection Fraction: The SCAN-MP Study
Driggin E, Rosenblum H, Teruya S, Rodriguez C, Kurian D, Raiszadeh F, Fine D, Sabogal N, Edmiston J, Massillon D, Winburn M, Miller E, Ruberg F, Maurer M. The Association Between Body Mass Index And Functional Status In Minority Patients With Heart Failure With Preserved Ejection Fraction: The SCAN-MP Study. Journal Of Cardiac Failure 2023, 29: 668-669. DOI: 10.1016/j.cardfail.2022.10.299.Peer-Reviewed Original ResearchBody mass indexKCCQ overall summary scoreExcess fat massFunctional statusOverall summary scoreObesity statusQuality of lifeMinority patientsFunctional capacityObese patientsEjection fractionHeart failureIndependent predictorsMass indexSPPB scoreFat massCardiac amyloidosisSummary scoresMuscle massShort Physical Performance Battery scoreFirst heart failure hospitalizationMedian body mass indexPhysical Performance Battery scoreHigher Body Mass IndexWorse SPPB score
2022
Phthalate exposure is associated with more rapid body fat gain in midlife women: The Study of Women's Health Across the Nation (SWAN) Multi-Pollutant Study
Peng M, Karvonen-Gutierrez C, Herman W, Mukherjee B, Park S. Phthalate exposure is associated with more rapid body fat gain in midlife women: The Study of Women's Health Across the Nation (SWAN) Multi-Pollutant Study. Environmental Research 2022, 216: 114685. PMID: 36341787, PMCID: PMC9870605, DOI: 10.1016/j.envres.2022.114685.Peer-Reviewed Original ResearchConceptsDual-energy X-ray absorptiometryBody fat gainStudy of Women's HealthBaseline obesity statusFat massFat gainObesity statusPhthalate metabolitesMidlife womenPhthalate exposureWomen's healthX-ray absorptiometryEtiology of obesityMono-carboxy-isononyl phthalateAttenuation of estimatesBody fat percentageBody weightMono-isobutyl phthalateMono(3-carboxypropyl) phthalateNormal/underweight womenAssociated with faster increasesMenopause-related factorsStudy obesityStratified analysisFM changesRates of Body Mass Index Increase in Children During the COVID-19 Pandemic
Loza AJ, Child I, Doolittle BR. Rates of Body Mass Index Increase in Children During the COVID-19 Pandemic. Childhood Obesity 2022, 19: 353-356. PMID: 35904946, DOI: 10.1089/chi.2022.0047.Peer-Reviewed Original ResearchConceptsClinic visitsWeight gainRetrospective longitudinal cohort studyBody mass index increaseRegular clinic visitsSignificant public health concernPrimary care clinicsHigh-risk subgroupsLongitudinal cohort studyYears of ageCOVID-19 pandemicPublic health concernPublic health officialsCohort studyCare clinicsPediatric obesityObesity statusRisk factorsPrepandemic periodHigher baselineAge groupsBMIHealth concernStudy periodHealth officials
2018
Restless legs syndrome and periodic limb movements during sleep in the Multi-Ethnic Study of Atherosclerosis
Doan TT, Koo BB, Ogilvie RP, Redline S, Lutsey PL. Restless legs syndrome and periodic limb movements during sleep in the Multi-Ethnic Study of Atherosclerosis. Sleep 2018, 41: zsy106. PMID: 29860522, PMCID: PMC6093310, DOI: 10.1093/sleep/zsy106.Peer-Reviewed Original ResearchConceptsRestless legs syndromePrevalence of RLSConcurrent restless legs syndromePeriodic limb movementsMulti-Ethnic StudyLegs syndromeObesity statusOdds of RLSLimb movementsPrevalence of PLMSCommunity-based sampleRace/ethnicityRLS symptomsClinical criteriaAdjusted modelPLMSStudy participantsPrevalenceOlder individualsCross-sectional dataAtherosclerosisSexSyndromeWhite participantsSleepThe physical and mental health burden of obesity in U.S. veterans: Results from the National Health and Resilience in Veterans Study
Stefanovics EA, Potenza MN, Pietrzak RH. The physical and mental health burden of obesity in U.S. veterans: Results from the National Health and Resilience in Veterans Study. Journal Of Psychiatric Research 2018, 103: 112-119. PMID: 29807318, DOI: 10.1016/j.jpsychires.2018.05.016.Peer-Reviewed Original ResearchConceptsPrevalence of obesityU.S. veteransU.S. military veteransNational HealthHealth burdenVeterans StudyMental healthSubstantial health burdenMental health burdenMultivariate logistic regressionMilitary veteransQuality of lifeNon-white veteransTrauma burdenObesity statusHeart diseaseObesity preventionLifestyle characteristicsNicotine dependenceObesityLifestyle variablesLinear regression analysisActive lifestyleTreatment programLogistic regression
2017
Association of Food insecurity and the nutritional status of Mexican mother‐child pairs
Shamah‐Levy T, Mundo‐Rosas V, Morales‐Ruan C, Cuevas‐Nasu L, Gómez–Humarán I, Pérez‐Escamilla R. Association of Food insecurity and the nutritional status of Mexican mother‐child pairs. The FASEB Journal 2017, 31 DOI: 10.1096/fasebj.31.1_supplement.791.6.Peer-Reviewed Original ResearchHousehold food insecurityStunting riskMaternal obesity statusObesity statusMexican National Health and Nutrition SurveyAssociation of household food insecurityModerate household food insecurityNational Health and Nutrition SurveyAssociation of food insecurityRisk of child stuntingHealth and Nutrition SurveyFood insecurityChild pairsNutritional status of mothersCaribbean Food Security ScaleFood Security ScalePrevalence of stuntingNutritional statusNon-obese mothersStatus of mothersMother-child pairsSchool age childrenNutrition transitionNutrition SurveyOverweight mothers
2016
Dynapenia and Metabolic Health in Obese and Nonobese Adults Aged 70 Years and Older: The LIFE Study
Aubertin-Leheudre M, Anton S, Beavers D, Manini T, Fielding R, Newman A, Church T, Kritchevsky S, Conroy D, McDermott M, Botoseneanu A, Hauser M, Pahor M, Gill T, Fragoso C, Fielding R, Hauser M, Pahor M, Guralnik J, Leeuwenburgh C, Caudle C, Crump L, Holmes L, Lee J, Lu C, Miller M, Espeland M, Ambrosius W, Applegate W, Beavers D, Byington R, Cook D, Furberg C, Harvin L, Henkin L, Hepler M, Hsu F, Lovato L, Roberson W, Rushing J, Rushing S, Stowe C, Walkup M, Hire D, Rejeski W, Katula J, Brubaker P, Mihalko S, Jennings J, Hadley E, Romashkan S, Patel K, Bonds D, McDermott M, Spring B, Hauser J, Kerwin D, Domanchuk K, Graff R, Rego A, Church T, Blair S, Myers V, Monce R, Britt N, Harris M, McGucken A, Rodarte R, Millet H, Tudor-Locke C, Butitta B, Donatto S, Cocreham S, King A, Castro C, Haskell W, Stafford R, Pruitt L, Berra K, Yank V, Fielding R, Nelson M, Folta S, Phillips E, Liu C, McDavitt E, Reid K, Kirn D, Pasha E, Kim W, Beard V, Tsiroyannis E, Hau C, Manini T, Pahor M, Anton S, Nayfield S, Buford T, Marsiske M, Sandesara B, Knaggs J, Lorow M, Marena W, Korytov I, Morris H, Fitch M, Singletary F, Causer J, Radcliff K, Newman A, Studenski S, Goodpaster B, Glynn N, Lopez O, Nadkarni N, Williams K, Newman M, Grove G, Bonk J, Rush J, Kost P, Ives D, Kritchevsky S, Marsh A, Brinkley T, Demons J, Sink K, Kennedy K, Shertzer-Skinner R, Wrights A, Fries R, Barr D, Gill T, Axtell R, Kashaf S, de Rekeneire N, McGloin J, Wu K, Shepard D, Fennelly B, Iannone L, Mautner R, Barnett T, Halpin S, Brennan M, Bugaj J, Zenoni M, Mignosa B, Williamson J, Sink K, Hendrie H, Rapp S, Verghese J, Woolard N, Espeland M, Jennings J, Wilson V, Pepine C, Ariet M, Handberg E, Deluca D, Hill J, Szady A, Chupp G, Flynn G, Gill T, Hankinson J, Fragoso C, Groessl E, Kaplan R. Dynapenia and Metabolic Health in Obese and Nonobese Adults Aged 70 Years and Older: The LIFE Study. Journal Of The American Medical Directors Association 2016, 18: 312-319. PMID: 27914851, PMCID: PMC5366275, DOI: 10.1016/j.jamda.2016.10.001.Peer-Reviewed Original ResearchConceptsDiastolic blood pressureBlood pressureOlder adultsWaist circumferenceRisk factorsMetabolic disease risk factorsHigher diastolic blood pressureAbdominal obesity criteriaObese older adultsMetabolic risk factorsMetabolic syndrome criteriaDisease risk factorsBody mass indexCardiometabolic disease riskPresence of dynapeniaAged 70Obesity criteriaSyndrome criteriaLifestyle interventionMetS criteriaBlood lipidsObese groupMass indexObesity statusMetabolic health
2015
A prevalent caveolin-1 gene variant is associated with the metabolic syndrome in Caucasians and Hispanics
Baudrand R, Goodarzi MO, Vaidya A, Underwood PC, Williams JS, Jeunemaitre X, Hopkins PN, Brown N, Raby BA, Lasky-Su J, Adler GK, Cui J, Guo X, Taylor KD, Chen YD, Xiang A, Raffel LJ, Buchanan TA, Rotter JI, Williams GH, Pojoga LH. A prevalent caveolin-1 gene variant is associated with the metabolic syndrome in Caucasians and Hispanics. Metabolism 2015, 64: 1674-1681. PMID: 26475177, PMCID: PMC4641791, DOI: 10.1016/j.metabol.2015.09.005.Peer-Reviewed Original ResearchConceptsMinor allele carriersAllele carriersMetabolic syndromeInsulin resistanceHigher oddsHigher Framingham risk scoreFramingham risk scoreGene variantsNon-obese subjectsMinor allele carrier statusAllele carrier statusHyperPATH cohortLow HDLMetS diagnosisMetS riskObese subjectsMulticenter studyObesity statusSimilar BMIRisk scoreHispanic cohortClinical implicationsHispanic participantsCohortCarrier status
2012
Does co-morbid depression alter the inverse relationship between obesity and substance use disorders?
Gearhardt AN, Harrison EL, McKee SA. Does co-morbid depression alter the inverse relationship between obesity and substance use disorders? Drug And Alcohol Dependence 2012, 124: 185-188. PMID: 22285319, PMCID: PMC3359394, DOI: 10.1016/j.drugalcdep.2012.01.002.Peer-Reviewed Original ResearchConceptsSubstance use disordersCo-morbid depressionDrug use disordersUse disordersRisk factorsMajor depressionOverweight/obesity statusCommon risk factorsInverse relationshipNormal weightObesity statusExcess food consumptionPsychiatric disordersDepression disorderObesityDrug useReward circuitryU.S. adultsSubstance useDisordersDepressionAdultsFood consumptionRepresentative sampleCurrent study
2003
Comparison of Patients With Bulimia Nervosa, Obese Patients With Binge Eating Disorder, and Nonobese Patients With Binge Eating Disorder
Barry DT, Grilo CM, Masheb RM. Comparison of Patients With Bulimia Nervosa, Obese Patients With Binge Eating Disorder, and Nonobese Patients With Binge Eating Disorder. The Journal Of Nervous And Mental Disease 2003, 191: 589-594. PMID: 14504568, DOI: 10.1097/01.nmd.0000087185.95446.65.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsBody ImageBody Mass IndexBulimiaComorbidityDepressive DisorderDiagnosis, DifferentialDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMiddle AgedObesityPatient Acceptance of Health CarePersonal SatisfactionPersonality InventoryReproducibility of ResultsConceptsObese BED groupBulimia nervosaBinge Eating DisorderBED groupNonobese patientsObese patientsEating Disorder InventoryDepression levelsBN groupComparison of patientsOutpatient clinical trialEating DisordersDSM-IV criteriaEffect of ageObesity statusTreatment-seeking womenClinical trialsPatientsAdult womenNonobeseWomenDisordersNervosaDisorder InventoryAge
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