2023
Psychometric properties of the Alcohol Use Disorders Identification Test (AUDIT) across cross-cultural subgroups, genders, and sexual orientations: Findings from the International Sex Survey (ISS)
Horváth Z, Nagy L, Koós M, Kraus S, Demetrovics Z, Potenza M, Ballester-Arnal R, Batthyány D, Bergeron S, Billieux J, Briken P, Burkauskas J, Cárdenas-López G, Carvalho J, Castro-Calvo J, Chen L, Ciocca G, Corazza O, Csako R, Fernandez D, Fujiwara H, Fernandez E, Fuss J, Gabrhelík R, Gewirtz-Meydan A, Gjoneska B, Gola M, Grubbs J, Hashim H, Islam M, Ismail M, Jiménez-Martínez M, Jurin T, Kalina O, Klein V, Költő A, Lee S, Lewczuk K, Lin C, Lochner C, López-Alvarado S, Lukavská K, Mayta-Tristán P, Miller D, Orosová O, Orosz G, Ponce F, Quintana G, Quintero Garzola G, Ramos-Diaz J, Rigaud K, Rousseau A, Scanavino M, Schulmeyer M, Sharan P, Shibata M, Shoib S, Sigre-Leirós V, Sniewski L, Spasovski O, Steibliene V, Stein D, Strizek J, Tsai M, Ünsal B, Vaillancourt-Morel M, Van Hout M, Bőthe B. Psychometric properties of the Alcohol Use Disorders Identification Test (AUDIT) across cross-cultural subgroups, genders, and sexual orientations: Findings from the International Sex Survey (ISS). Comprehensive Psychiatry 2023, 127: 152427. PMID: 37782987, DOI: 10.1016/j.comppsych.2023.152427.Peer-Reviewed Original ResearchProblematic smartphone use and two types of problematic use of the internet and self-stigma among people with substance use disorders
Chang C, Chen J, Huang S, Potenza M, Su J, Chang K, Pakpour A, Lin C. Problematic smartphone use and two types of problematic use of the internet and self-stigma among people with substance use disorders. Addictive Behaviors 2023, 147: 107807. PMID: 37542974, DOI: 10.1016/j.addbeh.2023.107807.Peer-Reviewed Original ResearchMeSH KeywordsBehavior, AddictiveCross-Sectional StudiesHumansInternetSmartphoneSubstance-Related DisordersConceptsProblematic smartphone useSubstance use disordersCognition-Execution (I-PACE) modelI-PACE modelSmartphone useProblematic useUse disordersPROCESS macro Model 4Person-AffectMediation modelCross-sectional designMediation analysisLongitudinal studyPeopleDisordersRelationshipPsychiatric centerFindingsParticipantsHayesModel 4ContextPotential risk and protective factors related to problematic social media use among adolescents in Iran: A latent profile analysis
Akbari M, Hossein Bahadori M, Khanbabaei S, Boruki Milan B, Jamshidi S, Potenza M. Potential risk and protective factors related to problematic social media use among adolescents in Iran: A latent profile analysis. Addictive Behaviors 2023, 146: 107802. PMID: 37442018, DOI: 10.1016/j.addbeh.2023.107802.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentBehavior, AddictiveCross-Sectional StudiesHumansInternetIranProtective FactorsSocial MediaConceptsAttention-deficit/hyperactivity disorderIranian adolescentsProtective factorsPresent cross-sectional studyHyperactivity disorderCross-sectional studySocial supportInternalizing symptomsPotential riskIntervention developmentProblematic social media useLatent profile analysisSymptomsAdolescentsStandardized factor scoresCurrent findingsDisordersMultiple factorsRiskAddictionAnxietyGroupFactorsFactor scoresGambling participation among Connecticut adolescents from 2007 to 2019: Potential risk and protective factors
Stefanovics E, Gueorguieva R, Zhai Z, Potenza M. Gambling participation among Connecticut adolescents from 2007 to 2019: Potential risk and protective factors. Journal Of Behavioral Addictions 2023, 12: 490-499. PMID: 37335777, PMCID: PMC10316163, DOI: 10.1556/2006.2023.00027.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdolescent BehaviorConnecticutCross-Sectional StudiesFemaleGamblingHumansMaleProtective FactorsRisk FactorsSubstance-Related DisordersConceptsPrevalence of gamblingGambling participationPatterns of gamblingSocial supportSocial support programsGambling advertisementsTraumatic experiencesMedia coverageState of ConnecticutSocio-demographic characteristicsAffective concernsSubstance useConnecticut high school studentsGamblingAdolescent gamblingAnonymous self-completed questionnairePotential risk factorsParticipationSupport programsPublic health concernSelf-completed questionnaireCurrent substance useSocio-demographic dataCross-sectional surveyWarrants further studyPsychosocial health of school-going adolescents during the COVID-19 pandemic: Findings from a nationwide survey in Bangladesh
Koly K, Islam S, Potenza M, Mahumud R, Islam S, Uddin S, Sarwar A, Begum F, Reidpath D. Psychosocial health of school-going adolescents during the COVID-19 pandemic: Findings from a nationwide survey in Bangladesh. PLOS ONE 2023, 18: e0283374. PMID: 36972260, PMCID: PMC10042372, DOI: 10.1371/journal.pone.0283374.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAnxietyBangladeshChildCOVID-19Cross-Sectional StudiesDepressionFemaleHumansMalePandemicsSurveys and QuestionnairesYoung AdultConceptsPsychosocial health problemsSchool-going adolescentsPsychosocial healthHealth problemsPsychosocial problemsCOVID-19 pandemicNationwide cross-sectional surveyPublic health problemCross-sectional surveyPsychosocial support programsSylhet divisionPhysical inactivitySevere depressionHigher oddsSchool-based preventionRajshahi DivisionLifestyle practicesOlder ageWeight gainInformed consentAdolescent psychosocial problemsActive livingDepressionParental comparisonsBehavioral factors
2022
Temporal associations between depressive features and self-stigma in people with substance use disorders related to heroin, amphetamine, and alcohol use: a cross-lagged analysis
Saffari M, Chang K, Chen J, Chang C, Chen I, Huang S, Liu C, Lin C, Potenza M. Temporal associations between depressive features and self-stigma in people with substance use disorders related to heroin, amphetamine, and alcohol use: a cross-lagged analysis. BMC Psychiatry 2022, 22: 815. PMID: 36544132, PMCID: PMC9768939, DOI: 10.1186/s12888-022-04468-z.Peer-Reviewed Original ResearchMeSH KeywordsAdultAmphetamineCross-Sectional StudiesDepressionHeroinHumansMaleMiddle AgedSocial StigmaSubstance-Related DisordersConceptsSubstance use disordersFeatures of depressionUse disordersDepression Anxiety Stress ScaleCross-lagged analysisCross-lagged associationsCross-lagged modelsAnxiety Stress ScaleGood fit indicesSubstance use concernsStructural equation modelingSelf-Stigma ScaleDepressive featuresMental health problemsLongitudinal relationshipStress ScaleEquation modelingSubstance useDirection of associationAlcohol useFit indicesUse concernsSocial relationshipsTemporal associationUnacceptable behavior
2021
Prevalence of food addiction in children and adolescents: A systematic review and meta‐analysis
Yekaninejad M, Badrooj N, Vosoughi F, Lin C, Potenza M, Pakpour A. Prevalence of food addiction in children and adolescents: A systematic review and meta‐analysis. Obesity Reviews 2021, 22: e13183. PMID: 33403795, PMCID: PMC8244111, DOI: 10.1111/obr.13183.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentChildCross-Sectional StudiesFood AddictionHumansPediatric ObesityPrevalenceSurveys and QuestionnairesConceptsFA prevalenceFood addictionPediatric populationWeight statusSystematic reviewFreeman-Tukey double arcsine transformationPrevalence of FADouble arcsine transformationCross-sectional studyYale Food Addiction ScalePresent systematic reviewWeb of ScienceChildhood obesityEligible studiesHealthcare providersObese samplePrevalenceFA severityArcsine transformationLongitudinal studyChildrenCommunity sampleAdolescentsAddictionStatus
2019
Reciprocal relationship between depression and Internet gaming disorder in children: A 12-month follow-up of the iCURE study using cross-lagged path analysis
Jeong H, Yim HW, Lee SY, Lee HK, Potenza M, Jo SJ, Son HJ. Reciprocal relationship between depression and Internet gaming disorder in children: A 12-month follow-up of the iCURE study using cross-lagged path analysis. Journal Of Behavioral Addictions 2019, 8: 725-732. PMID: 32359239, PMCID: PMC7044588, DOI: 10.1556/2006.8.2019.74.Peer-Reviewed Original ResearchMeSH KeywordsChildCross-Sectional StudiesDepressionFemaleHumansInternetLongitudinal StudiesMaleRepublic of KoreaRisk FactorsVideo GamesConceptsLevel of depressionDepressive symptomsDepression InventoryInternet gaming disorderSelf-reported severityChildren's Depression InventorySymptom screenRisk populationsSymptomsSeverityTime pointsCross-lagged path analysisDepressionGaming disorderLongitudinal studyReciprocal relationshipChildrenResearch panelBaselineDisordersAssociationCross-lagged structural equation modelsPrevious studiesLevelsStudy
2018
Correlates of frequent gambling and gambling-related chasing behaviors in individuals with schizophrenia-spectrum disorders
Yakovenko I, Fortgang R, Prentice J, Hoff RA, Potenza MN. Correlates of frequent gambling and gambling-related chasing behaviors in individuals with schizophrenia-spectrum disorders. Journal Of Behavioral Addictions 2018, 7: 375-383. PMID: 29788756, PMCID: PMC6174591, DOI: 10.1556/2006.7.2018.31.Peer-Reviewed Original ResearchMeSH KeywordsAge of OnsetAmbulatory CareCross-Sectional StudiesFemaleGamblingGenetic Predisposition to DiseaseHumansMaleMiddle AgedMotivationPsychiatric Status Rating ScalesPsychotic DisordersRisk FactorsSchizophreniaSchizophrenic PsychologySelf ReportSeverity of Illness IndexSubstance-Related DisordersConceptsSchizophrenia/schizoaffective disorderSchizoaffective disorderCo-occurring disordersDSM-IV criteriaSymptoms of schizophreniaSchizophrenia spectrum disordersPsychotic spectrum disordersHigh prevalenceFamily historyGreater gambling involvementSchizophreniaDisordersLower functioningContinuum of severityHallmark featureMethods DataSample of individualsGambling disorderIndividualsCorrelatesThe validation of Implicit Association Test measures for smartphone and Internet addiction in at-risk children and adolescents
Roh D, Bhang SY, Choi JS, Kweon YS, Lee SK, Potenza MN. The validation of Implicit Association Test measures for smartphone and Internet addiction in at-risk children and adolescents. Journal Of Behavioral Addictions 2018, 7: 79-87. PMID: 29383939, PMCID: PMC6035023, DOI: 10.1556/2006.7.2018.02.Peer-Reviewed Original ResearchConceptsImplicit Association TestSmartphone addictionImplicit associationsInternet addictionImplicit Association Test (IAT) measuresRisk childrenMental healthFeatures of addictionResults Significant correlationsMeasures of InternetDaily stress levelsImpulsive tendenciesExplicit processesProblem behaviorDaily stressAssociation TestTest measuresGood convergentDiscriminant validityMultiple regression analysisInternet gamesStandardized scalesAdolescentsQuality of lifeAddiction