2022
Associations between average step counts, variability in step counts and nonhomeostatic eating
Kerrigan SG, Carr MM, Lawson JL, Lydecker JA, Grilo CM. Associations between average step counts, variability in step counts and nonhomeostatic eating. Eating And Weight Disorders - Studies On Anorexia, Bulimia And Obesity 2022, 27: 2165-2171. PMID: 35107825, PMCID: PMC9288421, DOI: 10.1007/s40519-022-01362-1.Peer-Reviewed Original ResearchMeSH KeywordsAdultCross-Sectional StudiesEmotionsFeeding BehaviorFitness TrackersHumansRewardSelf ReportWalkingWeight GainConceptsReward-driven eatingNonhomeostatic eatingEmotional eatingIntraindividual variabilitySelf-report measuresGreater average levelsEatingCross-sectional correlation studyAverage levelLow intraindividual variabilityMethodsAdult participantsWeight outcomesComplex associationRelevant covariatesPA monitorParticipantsStep countAverage daily step countAssociationDaily stepsPhysical activity levelsOutcomesMeasuresActivity levelsHypothesis
2020
Examining the construct validity of food addiction severity specifiers
Wiedemann AA, Carr MM, Ivezaj V, Barnes RD. Examining the construct validity of food addiction severity specifiers. Eating And Weight Disorders - Studies On Anorexia, Bulimia And Obesity 2020, 26: 1503-1509. PMID: 32725535, PMCID: PMC7855002, DOI: 10.1007/s40519-020-00957-w.Peer-Reviewed Original Research
2017
Measurement Invariance of the Yale Food Addiction Scale 2.0 Across Gender and Racial Groups
Carr M, Catak P, Pejsa-Reitz M, Saules K, Gearhardt A. Measurement Invariance of the Yale Food Addiction Scale 2.0 Across Gender and Racial Groups. Psychological Assessment 2017, 29: 1044-1052. PMID: 27893229, DOI: 10.1037/pas0000403.Peer-Reviewed Original ResearchConceptsFood addictionPalatable foodDiverse sampleGood psychometric supportMeasurement invariance testingSingle latent constructConfirmatory factor analysisHypothesized factor structureCross-sectional survey designSample of menInvariance testingPhenomenological experienceMeasurement invariancePsychometric supportDrugs of abuseFactor structureLatent constructsHeterogeneous sampleFactor analysisAddictionBlack participantsSurvey designMeasuresExperienceRelative impact