2022
Childhood Adversity, Addiction Severity, and Comorbidity Among Patients Receiving Opioid Use Disorder Treatment
Carr M, Ellis J, Saules K, Ledgerwood D. Childhood Adversity, Addiction Severity, and Comorbidity Among Patients Receiving Opioid Use Disorder Treatment. The Journal Of Nervous And Mental Disease 2022, 211: 150-156. PMID: 36112518, DOI: 10.1097/nmd.0000000000001581.Peer-Reviewed Original ResearchConceptsOpioid use disorder treatmentUse disorder treatmentClinical severityChildhood adversityDisorder treatmentOpioid agonist treatmentChildhood adversity exposureGreater childhood adversityOUD treatmentAgonist treatmentTreatment strategiesEmotion dysregulationEmotion regulationCurrent psychopathologyAddiction severityPatientsAdversity exposureSymptom typeSeverityWomenStrongest predictorTreatmentHigh rateDysregulationGreater exposureCo-occurring alcohol use disorder and obesity in U.S. military veterans: Prevalence, risk factors, and clinical features
Carr MM, Serowik KL, Na PJ, Potenza MN, Martino S, Masheb RM, Pietrzak RH. Co-occurring alcohol use disorder and obesity in U.S. military veterans: Prevalence, risk factors, and clinical features. Journal Of Psychiatric Research 2022, 150: 64-70. PMID: 35358833, DOI: 10.1016/j.jpsychires.2022.03.039.Peer-Reviewed Original ResearchConceptsAlcohol use disorderCo-occurring alcohol use disorderCo-occurring obesityU.S. military veteransRisk factorsUse disordersProbable alcohol use disorderAlcohol Use Disorders Identification TestMore adverse childhood experiencesBody mass indexMilitary veteransSelf-reported heightDisorders Identification TestAdverse childhood experiencesClinical featuresClinical presentationMass indexNeeds of veteransClinical correlatesClinical conditionsMultinomial logistic regressionObesityChildhood adversityLogistic regressionEffective interventions
2021
Examining impairment and distress from food addiction across demographic and weight groups
Carr MM, Lawson JL, Wiedemann AA, Barnes RD. Examining impairment and distress from food addiction across demographic and weight groups. Eating Behaviors 2021, 43: 101574. PMID: 34678631, PMCID: PMC8629934, DOI: 10.1016/j.eatbeh.2021.101574.Peer-Reviewed Original ResearchConceptsDistress/impairmentFood addictionNormal weightYale Food Addiction Scale 2.0Prevalence ratesWeight groupFA symptomsEducational groupsDiagnostic significanceHeterogenous groupDemographic groupsLogistic regressionSignificant distressImpairmentSymptom countsFA severitySymptom indicatorsOverweightImpairment indicatorsMenGroupDistressAddictionPrior studiesObesitySubstance Use, Gambling, Binge‐Eating, and Hypersexuality Symptoms Among Patients Receiving Opioid Agonist Therapies
Carr MM, Ellis JD, Saules KK, Page JL, Staples A, Ledgerwood DM. Substance Use, Gambling, Binge‐Eating, and Hypersexuality Symptoms Among Patients Receiving Opioid Agonist Therapies. American Journal On Addictions 2021, 30: 343-350. PMID: 33783065, PMCID: PMC8243775, DOI: 10.1111/ajad.13149.Peer-Reviewed Original ResearchConceptsOpioid agonist therapyAgonist therapySeverity of symptomsDrug useTobacco useAlcohol useOpioid use disorderPoor treatment outcomesAdverse childhood eventsBinge-eating symptomsMost patientsOutpatient clinicPsychiatric comorbiditySignificant symptomsTreatment outcomesAddictive behaviorsUse disordersPatientsNegative binomial regressionSymptomsTherapyBinge eatingHigher depressionSubstance useSeverity
2020
Examining heterogeneity of binge-eating disorder using latent class analysis
Carr MM, Grilo CM. Examining heterogeneity of binge-eating disorder using latent class analysis. Journal Of Psychiatric Research 2020, 130: 194-200. PMID: 32828025, PMCID: PMC7554082, DOI: 10.1016/j.jpsychires.2020.07.032.Peer-Reviewed Original ResearchConceptsBinge-eating disorderLatent class analysisEating Disorder Examination interviewTreatment-seeking adultsBody image disturbanceSelf-report measuresBody image concernsEating-disorder psychopathologyImage disturbanceImage concernsExamination interviewStructured Clinical InterviewBinge episodesBody imageClass analysisBest overall fitDSM-IV disordersDepressive symptomologyClinical InterviewResearch cliniciansFuture researchDiagnostic classification systemsCurrent studyOverall fitParticipantsRace, Ethnicity, and Clinical Features of Alcohol Use Disorder Among US Military Veterans: Results From the National Health and Resilience in Veterans Study
Carr MM, Potenza MN, Serowik KL, Pietrzak RH. Race, Ethnicity, and Clinical Features of Alcohol Use Disorder Among US Military Veterans: Results From the National Health and Resilience in Veterans Study. American Journal On Addictions 2020, 30: 26-33. PMID: 32573050, PMCID: PMC7752825, DOI: 10.1111/ajad.13067.Peer-Reviewed Original ResearchConceptsLifetime alcohol use disorderAlcohol use disorderClinical featuresHigh disease burdenHispanic veteransUS military veteransRace/ethnicityWhite veteransDisease burdenNational HealthUse disordersBlack veteransVeterans StudyTreatment of AUDAnxiety disordersEthnic minority veteransMilitary veteransRepresentative National HealthQuality of lifeSample of veteransRace/ethnic groupsFunctional outcomePsychiatric comorbidityAnalysis of covarianceEthnic groups
2019
Psychometric properties of the eating loss of control scale among postbariatric patients
Carr MM, Lawson JL, Ivezaj V, Blomquist KK, Grilo CM. Psychometric properties of the eating loss of control scale among postbariatric patients. Surgery For Obesity And Related Diseases 2019, 15: 1829-1835. PMID: 31494065, PMCID: PMC6834893, DOI: 10.1016/j.soard.2019.06.039.Peer-Reviewed Original ResearchConceptsBariatric surgery patientsPostbariatric patientsSurgery patientsPostoperative bariatric surgery patientsAcademic medical centerGood construct validityConstruct validityExploratory factor analysisBariatric surgeryBariatric patientsAlternative factor solutionsMedical CenterTreatment-seeking adultsPatientsControl eatingAlternative factor structuresFactor 1Confirmatory factor analysisFactor 2Nonclinical groupPsychometric propertiesFactor structureControl ScalePsychometric examinationExamining 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
Suicidality among gambling helpline callers: A consideration of the role of financial stress and conflict
Carr MM, Ellis JD, Ledgerwood DM. Suicidality among gambling helpline callers: A consideration of the role of financial stress and conflict. American Journal On Addictions 2018, 27: 531-537. PMID: 30113105, DOI: 10.1111/ajad.12787.Peer-Reviewed Original ResearchMeasurement Invariance of the Modified Yale Food Addiction Scale 2.0 Across Gender and Racial Groups
Carr MM, Schulte EM, Saules KK, Gearhardt AN. Measurement Invariance of the Modified Yale Food Addiction Scale 2.0 Across Gender and Racial Groups. Assessment 2018, 27: 356-364. PMID: 29973060, DOI: 10.1177/1073191118786576.Peer-Reviewed Original ResearchConceptsFood addictionYale Food Addiction Scale 2.0Yale food addictionRace/ethnicityLarge epidemiological samplePrevalence ratesBrief screenerGender groupsCertain foodsEpidemiological sampleHispanic individualsGeneralizability of findingsMYFAS 2.0Reference populationHigh rateVulnerable individualsAddictionDemographic quotasRacial groupsTrue differencesGroupClient and clinician-rated characteristics of problem gamblers with and without history of gambling-related illegal behaviors
Ellis JD, Lister JJ, Struble CA, Cairncross M, Carr MM, Ledgerwood DM. Client and clinician-rated characteristics of problem gamblers with and without history of gambling-related illegal behaviors. Addictive Behaviors 2018, 84: 1-6. PMID: 29587172, DOI: 10.1016/j.addbeh.2018.03.017.Peer-Reviewed Original ResearchConceptsGambling-related illegal behaviorsLifetime alcohol problemsAlcohol problemsClient characteristicsTreatment failureDaily livingMood symptomsElevated riskRole difficultiesClinician reportsYounger ageHistory of arrestComorbid problemsClinical interventionsClinician ratingsHigh rateCliniciansArrest
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 impactA qualitative analysis of men's experiences of binge eating
Carey JB, Saules KK, Carr MM. A qualitative analysis of men's experiences of binge eating. Appetite 2017, 116: 184-195. PMID: 28465183, DOI: 10.1016/j.appet.2017.04.030.Peer-Reviewed Original Research