2024
Effects 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 employees
2020
An Implementation Approach Comparison of a Child Care Center-Based Obesity Prevention Program.
Natale R, Atem F, Weerakoon S, Lebron C, Mathew M, Sardinas K, Chang C, Shelnutt K, Spector R, Altare F, Messiah S. An Implementation Approach Comparison of a Child Care Center-Based Obesity Prevention Program. Journal Of Developmental And Behavioral Pediatrics 2020, 42: 135-145. PMID: 32947578, PMCID: PMC9336224, DOI: 10.1097/dbp.0000000000000861.Peer-Reviewed Original ResearchConceptsImprove dietary intake patternsCluster Randomized Controlled TrialTrain-the-trainer approachObesity prevention interventionsPhase 1Obesity prevention programsChild dietary practicesBody mass index percentileSnack food consumptionTrain-the-trainerDietary intake patternsUniversity-based research teamPhase 2Randomized Controlled TrialsVegetable intakeUnhealthy foodsEthnic minority familiesFruit consumptionPreventive interventionsDietary practicesTeam implementationPrevention programsIntake patternsControlled TrialsHealthy range
2018
Training in cognitive strategies reduces eating and improves food choice
Boswell RG, Sun W, Suzuki S, Kober H. Training in cognitive strategies reduces eating and improves food choice. Proceedings Of The National Academy Of Sciences Of The United States Of America 2018, 115: e11238-e11247. PMID: 30420496, PMCID: PMC6275472, DOI: 10.1073/pnas.1717092115.Peer-Reviewed Original ResearchConceptsCognitive strategiesFood valuationBrief trainingUnhealthy foodsCognitive regulation strategiesFood choicesEffects of framingRegulation strategiesStudy 5Study 1Study 3Unhealthy eatingStudy 6Training componentHealthy food choicesNegative consequencesPositive benefitsCravingHealthy foodsTrainingClinical implicationsPrior workIndividualsImplicationsEatingDigital Health and Obesity: How Technology Could Be the Culprit and Solution for Obesity
Cooper M, Morton J. Digital Health and Obesity: How Technology Could Be the Culprit and Solution for Obesity. Health Informatics 2018, 169-178. DOI: 10.1007/978-3-319-61446-5_12.Peer-Reviewed Original Research
2013
Sleep restriction increases the neuronal response to unhealthy food in normal-weight individuals
St-Onge M, Wolfe S, Sy M, Shechter A, Hirsch J. Sleep restriction increases the neuronal response to unhealthy food in normal-weight individuals. International Journal Of Obesity 2013, 38: 411-416. PMID: 23779051, PMCID: PMC3883872, DOI: 10.1038/ijo.2013.114.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingFood stimuliRight insulaUnhealthy foodsUnhealthy food stimuliNormal-weight individualsMiddle temporal gyrusLevel-dependent activityInferior parietal lobuleSuperior frontal gyrusInsula activityFrontal gyrusGreater activationNeural mechanismsTemporal gyrusParietal lobuleFood intakeOrbitofrontal cortexRestricted sleepSame stimuliNeuronal responsesSleep restrictionNeural systemsBrain rewardShort sleep duration
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