2025
The Impact of Body Mass Index on Breast Reduction Outcomes: A Multi-Institutional Data Analysis of 45,000 Cases over 15 Years
Knoedler S, Matar D, Kosyk M, Perozzo F, Sofo G, Manente M, Vafa A, Boroumand S, Alfertshofer M, Orgill D, Kim B, Panayi A. The Impact of Body Mass Index on Breast Reduction Outcomes: A Multi-Institutional Data Analysis of 45,000 Cases over 15 Years. Aesthetic Plastic Surgery 2025, 1-15. PMID: 40000470, DOI: 10.1007/s00266-025-04743-w.Peer-Reviewed Original ResearchBody mass indexNational Surgical Quality Improvement ProgramAmerican College of SurgeonsSurgical complicationsMedical complicationsBreast reductionHealthy weightObese IMass indexImpact of body mass indexBody mass index subgroupsLevel of Evidence IIIThis journalSurgical Quality Improvement ProgramElevated body mass indexMultivariate logistic regression analysisCases of surgical complicationsEvidence-Based Medicine ratingsHealthy BMI rangeBreast reduction surgeryHigher BMI classesMulti-institutional databaseEvidence IIIThis journalFemale adult patientsLevel of evidenceQuality Improvement Program
2024
Accelerometer-Based Estimates of Physical Activity and Sedentary Time Among Samoan Adults.
Hawley N, Zarei P, Crouter S, Desai M, Pomer A, Rivara A, Naseri T, Reupena M, Viali S, Duckham R, McGarvey S. Accelerometer-Based Estimates of Physical Activity and Sedentary Time Among Samoan Adults. Journal Of Physical Activity And Health 2024, 21: 636-644. PMID: 38621669, DOI: 10.1123/jpah.2023-0590.Peer-Reviewed Original ResearchModerate to vigorous physical activityVigorous physical activityEstimates of physical activityPhysical activitySamoan adultsSedentary timeLight physical activityPhysical activity levelsAccelerometer-based devicesModifiable risk factorsClass II/III obesitySedentary activitiesWeight statusHealthy weightAdult SamoansParticipant characteristicsObesity-related diseasesCardiometabolic diseasesCensus regionActivity levelsGeneralized linear modelRural areasObesity-related cardiometabolic diseasesRisk factorsAdultsPre‐pregnancy BMI, rate of gestational weight gain, and preterm birth among US Pacific Islander individuals
Wu B, Shabanova V, Taylor S, Hawley N. Pre‐pregnancy BMI, rate of gestational weight gain, and preterm birth among US Pacific Islander individuals. Obesity 2024, 32: 798-809. PMID: 38304993, PMCID: PMC10965383, DOI: 10.1002/oby.23979.Peer-Reviewed Original ResearchRate of gestational weight gainGestational weight gainPacific Islander individualsPre-pregnancy BMIIncreased risk of PTBRisk of preterm birthPreterm birthPre-pregnancyIslander individualsObesity classNational Center for Health StatisticsCenter for Health StatisticsIncreased riskObesity class ICox proportional hazards modelsPacific Islander mothersHealthy weightWeight gainProportional hazards modelHealth StatisticsSingleton infantsCongenital anomaliesBMIClass IHazards model
2022
Identification of a novel link between adiposity and visuospatial perception
Chen H, Hovens I, Davis X, Hutelin Z, Wall K, Small D. Identification of a novel link between adiposity and visuospatial perception. Obesity 2022, 31: 423-433. PMID: 36546337, PMCID: PMC9877146, DOI: 10.1002/oby.23603.Peer-Reviewed Original ResearchConceptsHealthy weightLine orientation taskOW/OBOverweight/obesityCase-control study participantsBody fat percentagePrimary visual cortexFunctional magnetic resonance imagingMagnetic resonance imagingHeart rate variabilityLateral occipital cortexFunctional magnetic resonanceHemoglobin A1cNegative associationVisual acuityVisual functionPhysical activityOccipital cortexLine orientation judgmentVisual cortexResonance imagingStudy participantsVisuospatial functionBMIAdiposityKeys to Achieving Clinically Important Weight Loss: Perceptions of Responders and Nonresponders in the Clinic and Community Approaches to Healthy Weight Trial
Fay C, Castro I, Velez D, Ruggiero C, O'Connor G, Perkins M, Luo M, Sharifi M, Mini F, Taveras E, Kuhlthau K, Fiechtner L. Keys to Achieving Clinically Important Weight Loss: Perceptions of Responders and Nonresponders in the Clinic and Community Approaches to Healthy Weight Trial. Childhood Obesity 2022, 19: 507-514. PMID: 36315223, PMCID: PMC10698771, DOI: 10.1089/chi.2022.0112.Peer-Reviewed Original ResearchConceptsPediatric weight management interventionsBody mass index improvementWeight management interventionsImportant weight lossUnmet social needsPerspectives of caregiversHealthy weightHealth behaviorsNonrespondersSemistructured guideThematic saturationWeight lossWeight stigmaRespondersMindful eatingMaternal responsiveness and toddler body mass index z-score: Prospective analysis of maternal and child mealtime interactions
Hart C, Phelan S, Coffman D, Jelalian E, Ventura A, Hodges E, Hawley N, Fisher J, Wing R. Maternal responsiveness and toddler body mass index z-score: Prospective analysis of maternal and child mealtime interactions. Appetite 2022, 180: 106348. PMID: 36272545, DOI: 10.1016/j.appet.2022.106348.Peer-Reviewed Original ResearchConceptsBody mass index z-scoreOverweight/overweightIndex z-scoreChild weight statusSatiation cuesWeight statusMaternal promptsToddler growthZ-scoreMaternal responsivenessOverweight/obesityHealthy weight statusHigher childHigher child weight statusLifestyle interventionMealtime interactionsHealthy weightResponsive feedingProspective analysisProspective associationsOverweightMonthsChild hungerSubset of familiesRiskMulti-sector stakeholder's perceptions of determinants of successful implementation of a pediatric weight management intervention
Persaud A, Castro I, Simione M, Smith J, O'Connor G, Sharifi M, Perkins M, Torres S, Taveras E, Kuhlthau K, Fiechtner L. Multi-sector stakeholder's perceptions of determinants of successful implementation of a pediatric weight management intervention. Frontiers In Public Health 2022, 10: 954063. PMID: 36091513, PMCID: PMC9454190, DOI: 10.3389/fpubh.2022.954063.Peer-Reviewed Original ResearchConceptsPediatric weight management interventionsWeight management interventionsCommunity settingsPre-implementation periodCommunity resource guideLow-income settingsUnmet social needsNational clinicPatient barriersHealthy weightFramework analysis approachPrimary careTwo-armFamily-centered programsHealth centersCFIR domainsGroup visitsConsolidated FrameworkInsurance reimbursementLocal YMCAManagement interventionsMultidisciplinary personnelClinicInterventionClinical organizations
2021
Cluster-randomised trial of the impact of an obesity prevention intervention on childcare centre nutrition and physical activity environment over 2 years
Natale R, Atem F, Lebron C, Mathew M, Weerakoon S, Martinez C, Shelnutt K, Spector R, Messiah S. Cluster-randomised trial of the impact of an obesity prevention intervention on childcare centre nutrition and physical activity environment over 2 years. Public Health Nutrition 2021, 25: 3172-3181. PMID: 34593076, PMCID: PMC9991736, DOI: 10.1017/s1368980021004109.Peer-Reviewed Original ResearchConceptsPhysical activity environmentsObesity prevention interventionsCluster randomised trialPhysical activityPreventive interventionsActive environmentNutritional scorePromote healthy weightObesity prevention programmesScreen time policiesRandom effects mixed modelPrevalence of obesityPre-school-aged childrenEthnically diverse familiesHealthy weightIntervention armEnvironment scoresPrevention programmesEPAOLow-incomeMiami-Dade CountyControl armSchool yearPrimary outcomeScore changesComparative Effectiveness of Clinical and Community-Based Approaches to Healthy Weight
Fiechtner L, Perkins M, Biggs V, Langhans N, Sharifi M, Price S, Luo M, Locascio JJ, Hohman KH, Hodge H, Gortmaker S, Torres S, Taveras EM. Comparative Effectiveness of Clinical and Community-Based Approaches to Healthy Weight. 2021, 148: e2021050405. PMID: 34470816, PMCID: PMC8573851, DOI: 10.1542/peds.2021-050405.Peer-Reviewed Original ResearchConceptsHealthy weightHealth centersPediatric weight management interventionsConfidence intervalsWeight management interventionsIntervention participantsEffective treatmentLow-income childrenBMIBMI effectsComparative effectivenessMean differencePercentile changeComparison groupComparison sitesNoninferiority testLinear mixed modelsNoninferiorityChild interventionChildrenInterventionMixed modelsManagement interventionsPrevious dataImportant differencesFat and Carbohydrate Interact to Potentiate Food Reward in Healthy Weight but Not in Overweight or Obesity
Perszyk EE, Hutelin Z, Trinh J, Kanyamibwa A, Fromm S, Davis XS, Wall KM, Flack KD, DiFeliceantonio AG, Small DM. Fat and Carbohydrate Interact to Potentiate Food Reward in Healthy Weight but Not in Overweight or Obesity. Nutrients 2021, 13: 1203. PMID: 33917347, PMCID: PMC8067354, DOI: 10.3390/nu13041203.Peer-Reviewed Original ResearchObesity and Corticosteroid Dosing Guideline Adherence in Children Hospitalized With Asthma
Kyler KE, Bettenhausen JL, Hall M, Glynn EF, Hoffman MA, Shakhnovich V, Smolderen K, Davis AM. Obesity and Corticosteroid Dosing Guideline Adherence in Children Hospitalized With Asthma. Hospital Pediatrics 2021, 11: 380-388. PMID: 33664119, DOI: 10.1542/hpeds.2020-001420.Peer-Reviewed Original ResearchConceptsWeight categoriesSystemic corticosteroidsGuideline adherenceRetrospective cross-sectional studyMultivariable logistic regression modelCerner Health FactsClass III obesityCross-sectional studyDrug dosing recommendationsLogistic regression modelsAsthma increasesGuideline adherentSevere obesityDosing recommendationsBlood InstituteCDC guidelinesHealthy weightNational HeartBMI percentileAsthma hospitalizationsClinical covariatesTotal bodyDrug dosesObesityRisk of harm
2020
Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial
Damschroder LJ, Buis LR, McCant FA, Kim HM, Evans R, Oddone EZ, Bastian LA, Hooks G, Kadri R, White-Clark C, Richardson CR, Gierisch JM. Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial. Journal Of Medical Internet Research 2020, 22: e19216. PMID: 32687474, PMCID: PMC7435619, DOI: 10.2196/19216.Peer-Reviewed Original ResearchConceptsINTERNATIONAL REGISTERED REPORT IDENTIFIERPhysical activityUS veteransActive minutesPatient activationHealth coachingMonths postbaselineWrist-worn physical activity trackerLong-term adherenceFitbit Charge 2 deviceTelephone-based coachingBetween-group differencesMobile health interventionsPersonalized health coachingPhysical activity trackersAverage baseline weightActive military dutyStrong AppBaseline weightSecondary outcomesControlled TrialsPrimary outcomeHealthy weightActive duty serviceCoaching callsDeterminants of accurate visual perception of child anthropometric phenotype among ethnically diverse preschool parents in the United States
Messiah S, Weerakoon S, Atem F, Schulte M, Lebron C, Kambali S, Mathew M, Chang C, Natale R. Determinants of accurate visual perception of child anthropometric phenotype among ethnically diverse preschool parents in the United States. Health & Social Care In The Community 2020, 28: 2095-2104. PMID: 32510693, DOI: 10.1111/hsc.13020.Peer-Reviewed Original ResearchConceptsChild weight statusWeight statusBMI percentileParental perceptions of child weight statusPerceptions of child weight statusAnthropometric phenotypesHigher obesity prevalenceChild BMI percentileChildhood obesity epidemicAssociated with parental perceptionsCountry of birthNon-Hispanic parentsMexican caregiversMultivariate linear regressionCaregiver perceptionsObesity prevalenceHeight/weight measurementsUnhealthy weightHealthy weightUnhealthy BMIChi-square analysisObesity epidemicCaregiversChild sociodemographicsParents' perceptions
2019
Understanding the Effect of Adding Automated and Human Coaching to a Mobile Health Physical Activity App for Afghanistan and Iraq Veterans: Protocol for a Randomized Controlled Trial of the Stay Strong Intervention
Buis LR, McCant FA, Gierisch JM, Bastian LA, Oddone EZ, Richardson CR, Kim HM, Evans R, Hooks G, Kadri R, White-Clark C, Damschroder LJ. Understanding the Effect of Adding Automated and Human Coaching to a Mobile Health Physical Activity App for Afghanistan and Iraq Veterans: Protocol for a Randomized Controlled Trial of the Stay Strong Intervention. JMIR Research Protocols 2019, 8: e12526. PMID: 30694208, PMCID: PMC6371069, DOI: 10.2196/12526.Peer-Reviewed Original ResearchINTERNATIONAL REGISTERED REPORT IDENTIFIERPhysical activityStrong AppHealth coachingWearable physical activity trackersMHealth lifestyle interventionSecondary outcome measuresFitbit Charge 2 deviceMobile health interventionsPersonalized health coachingAccountability Act authorizationPhysical activity trackersActive military dutyLifestyle interventionControlled TrialsPrimary outcomeEnrolled participantsHealthy weightPatient activationActive duty serviceHealth coachesUS veteransPhysical activity appsHuman coachingOutcome measuresExamining physical activity and correlates in adults with healthy weight, overweight/obesity, or binge‐eating disorder
Carr MM, Lydecker JA, White MA, Grilo CM. Examining physical activity and correlates in adults with healthy weight, overweight/obesity, or binge‐eating disorder. International Journal Of Eating Disorders 2019, 52: 159-165. PMID: 30690763, PMCID: PMC6396689, DOI: 10.1002/eat.23003.Peer-Reviewed Original ResearchConceptsOW/OBBinge-eating disorderSelf-reported physical activityOverweight/obesityPhysical activityHealthy weightOW/OB groupBED groupPhysical healthStrong associationSelf-reported physical healthSubgroup of adultsImportant treatment targetWeekly boutsPhysical inactivityOB groupStudy groupTreatment targetsWhite womenActive individualsMost participantsObesityHigh rateHealthBinge
2018
Household food insecurity is associated with binge‐eating disorder and obesity
Rasmusson G, Lydecker JA, Coffino JA, White MA, Grilo CM. Household food insecurity is associated with binge‐eating disorder and obesity. International Journal Of Eating Disorders 2018, 52: 28-35. PMID: 30565270, PMCID: PMC6584603, DOI: 10.1002/eat.22990.Peer-Reviewed Original ResearchBinge-eating disorderLow food securityHealthy weightPhysical health problemsHierarchical logistic regressionExcess weightFood insecurityStudy groupHousehold food insecurityObesityPsychiatric treatmentHealth problemsOverall associationBinge eatingPreventative interventionsLogistic regressionReference groupLow-income AmericansOvereatingDisordersAssociationSurvey respondentsGroupBingeRationale and design of the Clinic and Community Approaches to Healthy Weight Randomized Trial
Fiechtner L, Perkins M, Biggs V, Langhans N, Sharifi M, O'Connor G, Price S, Locascio J, Kuhlthau K, Kwass JA, Nelson C, Land T, Longjohn M, Lawson V, Hohman K, Taveras EM. Rationale and design of the Clinic and Community Approaches to Healthy Weight Randomized Trial. Contemporary Clinical Trials 2018, 67: 16-22. PMID: 29330083, PMCID: PMC5871582, DOI: 10.1016/j.cct.2018.01.002.Peer-Reviewed Original ResearchConceptsPediatric weight management programBody mass indexWeight management programLow-income childrenHealth Insurance ProgramChildhood obesityQualified health centersTwo-arm trialChildren's Health Insurance ProgramMass indexRandomized trialsHealthy weightPrimary careEligible childrenHealth centersMAIN OUTCOMEComparative effectivenessObesityPercent changeCommunity settingsClinicOne-yearTrialsManagement programCommunity approach
2016
School breakfast and body mass index: a longitudinal observational study of middle school students
Wang S, Schwartz MB, Shebl FM, Read M, Henderson KE, Ickovics JR. School breakfast and body mass index: a longitudinal observational study of middle school students. Pediatric Obesity 2016, 12: 213-220. PMID: 26989876, PMCID: PMC7075461, DOI: 10.1111/ijpo.12127.Peer-Reviewed Original ResearchConceptsBreakfast eatersRace/ethnicityExcessive weight gainOverweight/obesityBody mass indexLongitudinal observational studyOverall dietLongitudinal analysisSchool breakfastIncreased oddsHealthy weightMass indexBreakfast patternsWeight statusObservational studyIncrease riskWeight gainBreakfastWeight changeSecond breakfastAdditional researchEatersLatent transition analysisYears
2015
Helpful or harmful? Prospective association between weight misperception and weight gain among overweight and obese adolescents and young adults
Sonneville K, Thurston I, Milliren C, Kamody R, Gooding H, Richmond T. Helpful or harmful? Prospective association between weight misperception and weight gain among overweight and obese adolescents and young adults. International Journal Of Obesity 2015, 40: 328-332. PMID: 26303350, DOI: 10.1038/ijo.2015.166.Peer-Reviewed Original ResearchConceptsWeight misperceptionFuture weight gainProspective associationsWeight gainBMI gainLess BMI gainLower BMI gainSubsequent BMI changeWeight perceptionWave IIAccurate weight perceptionPercent of malesBMI changeLinear regression modelingHealthy weightObese adolescentsObese youthWave IVObeseOverweightYoung adultsWeight changeNational Longitudinal StudyLongitudinal studyRegression modelingEngaging children in the development of obesity interventions: Exploring outcomes that matter most among obesity positive outliers
Sharifi M, Marshall G, Goldman RE, Cunningham C, Marshall R, Taveras EM. Engaging children in the development of obesity interventions: Exploring outcomes that matter most among obesity positive outliers. Patient Education And Counseling 2015, 98: 1393-1401. PMID: 26166630, PMCID: PMC4609258, DOI: 10.1016/j.pec.2015.06.007.Peer-Reviewed Original ResearchConceptsBody mass indexObesity interventionsHistory of obesityHeight/weight dataImmersion/crystallization approachChildren ages 6Electronic health recordsMass indexHealthy weightObesity managementFocus groupsLinear mixed effects modelsResidential addressesThematic saturationHealth recordsAge 6Mixed effects modelsBehaviour change initiationZip codesObesityChildrenGroup transcriptsEffects modelIterative meetingsFamily engagement
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