2023
Associations Between Childhood Area-Level Social Fragmentation, Maladaptation to School, and Social Functioning Among Healthy Youth and Those at Clinical High Risk for Psychosis
Ku B, Addington J, Bearden C, Cadenhead K, Cannon T, Compton M, Cornblatt B, Druss B, Gülöksüz S, Mathalon D, Perkins D, Tsuang M, Walker E, Woods S, Carrión R. Associations Between Childhood Area-Level Social Fragmentation, Maladaptation to School, and Social Functioning Among Healthy Youth and Those at Clinical High Risk for Psychosis. Schizophrenia Bulletin 2023, 49: 1437-1446. PMID: 37358832, PMCID: PMC10686327, DOI: 10.1093/schbul/sbad093.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultHumansLongitudinal StudiesPsychotic DisordersRetrospective StudiesSchoolsSocial InteractionConceptsClinical high riskHealthy comparisonsSocial functioningHigh riskPoor social functioningNorth American Prodrome Longitudinal StudyImportant risk factorRisk factorsPsychotic disordersEffective interventionsHealthy youthChildhoodLongitudinal studyAdulthoodPsychosisAssociationAdultsMaladaptationRiskSocial deficitsFurther researchFunctioningCommunity level
2022
Bidirectional relationships between cannabis use, anxiety and depressive symptoms in the mediation of the association with psychotic experience: further support for an affective pathway to psychosis
Radhakrishnan R, Pries LK, Erzin G, Have M, de Graaf R, van Dorsselaer S, Gunther N, Bak M, Rutten BPF, van Os J, Guloksuz S. Bidirectional relationships between cannabis use, anxiety and depressive symptoms in the mediation of the association with psychotic experience: further support for an affective pathway to psychosis. Psychological Medicine 2022, 53: 5551-5557. PMID: 36093677, PMCID: PMC10482707, DOI: 10.1017/s0033291722002756.Peer-Reviewed Original ResearchMeSH KeywordsAnxietyCannabinoid Receptor AgonistsCannabisDepressionHumansLongitudinal StudiesPsychotic DisordersConceptsAnxiety/depressive symptomsDepressive symptomsCannabis usePE incidencePsychotic experiencesFirst longitudinal cohort studyNetherlands Mental Health SurveyLongitudinal cohort studyMental Health SurveyRole of cannabisBidirectional relationshipCohort studyHealth SurveyIncidence studyAffective symptomsSymptomsCannabisEducation statusLongitudinal studyPsychosisIncidenceAnxietyTemporal relationshipMediation analysisFurther support
2021
Longitudinal associations between alcohol use, smoking, genetic risk scoring and symptoms of depression in the general population: a prospective 6-year cohort study
de Boer N, Vermeulen J, Lin B, van Os J, Have M, de Graaf R, van Dorsselaer S, Bak M, Rutten B, Batalla A, Guloksuz S, Luykx J. Longitudinal associations between alcohol use, smoking, genetic risk scoring and symptoms of depression in the general population: a prospective 6-year cohort study. Psychological Medicine 2021, 53: 1409-1417. PMID: 35023464, PMCID: PMC10009403, DOI: 10.1017/s0033291721002968.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcohol DrinkingCohort StudiesCross-Sectional StudiesDepressionHumansLongitudinal StudiesProspective StudiesRisk FactorsSmokingConceptsNumber of cigarettesDepressive symptomsAlcohol useLongitudinal associationsGeneral populationSmoking behaviorAlcohol consumptionGenetic risk scoringSymptoms of depressionGenetic risk score analysisGenetic risk scoreAlcohol cessationCohort studySmoking statusGlobal burdenMood disordersRisk scoreSmokingModerate drinkingRisk score analysisLess symptomsLinear mixed effects modelsSymptomsScore analysisRisk scoringSchizophrenia and the Environment: Within-Person Analyses May be Required to Yield Evidence of Unconfounded and Causal Association—The Example of Cannabis and Psychosis
van Os J, Pries L, Have M, de Graaf R, van Dorsselaer S, Bak M, Wittchen H, Rutten B, Guloksuz S. Schizophrenia and the Environment: Within-Person Analyses May be Required to Yield Evidence of Unconfounded and Causal Association—The Example of Cannabis and Psychosis. Schizophrenia Bulletin 2021, 47: 594-603. PMID: 33693921, PMCID: PMC8084443, DOI: 10.1093/schbul/sbab019.Peer-Reviewed Original ResearchConceptsFixed-effects modelCannabis usePsychotic experiencesGeneral population cohortRandom-effects modelMental health outcomesRisk factorsTime-varying confoundersProspective associationsPopulation cohortHealth outcomesOwn controlCausal associationPsychosisCannabisLongitudinal studyAssociationBetween-person levelConfoundersCohortIncidenceSchizophrenia
2020
Association of Recent Stressful Life Events With Mental and Physical Health in the Context of Genomic and Exposomic Liability for Schizophrenia
Pries L, van Os J, Have M, de Graaf R, van Dorsselaer S, Bak M, Lin B, van Eijk K, Kenis G, Richards A, O’Donovan M, Luykx J, Rutten B, Guloksuz S. Association of Recent Stressful Life Events With Mental and Physical Health in the Context of Genomic and Exposomic Liability for Schizophrenia. JAMA Psychiatry 2020, 77: 1296-1304. PMID: 32805017, PMCID: PMC7711318, DOI: 10.1001/jamapsychiatry.2020.2304.Peer-Reviewed Original ResearchConceptsRecent stressful life eventsStressful life eventsAssociations of SLEsPoor physical healthMental health outcomesHealth outcomesPhysical healthGeneral populationPopulation-based prospective cohort studyPRS-SCZNetherlands Mental Health SurveyES-SCZMental healthProspective cohort studyIncidence Study-2Modifiable environmental factorsAdulthood stressful life eventsMental Health SurveyDutch general populationPoor mental healthPopulation-based health outcomesLife eventsCohort studyMean ageHealth SurveyPredictive Performance of Exposome Score for Schizophrenia in the General Population
Pries L, Erzin G, van Os J, Have M, de Graaf R, van Dorsselaer S, Bak M, Rutten B, Guloksuz S. Predictive Performance of Exposome Score for Schizophrenia in the General Population. Schizophrenia Bulletin 2020, 47: 277-283. PMID: 33215211, PMCID: PMC7965069, DOI: 10.1093/schbul/sbaa170.Peer-Reviewed Original ResearchConceptsES-SCZOptimal cut pointGeneral populationPopulation cohortGeneral population cohortCut pointsExposome scoreSchizophrenia spectrum disordersMeta-analytical estimatesClinical outcomesRisk strataRisk stratificationMulticausal etiologyMedical outcomesPsychiatric diagnosisBipolar disorderSchizophrenia diagnosisExposure scoreSuicide planSum scoreGene-environment interaction studiesSchizophreniaRisk predictionCharacteristic curveScoresDo Current Measures of Polygenic Risk for Mental Disorders Contribute to Population Variance in Mental Health?
Marsman A, Pries L, Have M, de Graaf R, van Dorsselaer S, Bak M, Kenis G, Lin B, Luykx J, Rutten B, Guloksuz S, van Os J. Do Current Measures of Polygenic Risk for Mental Disorders Contribute to Population Variance in Mental Health? Schizophrenia Bulletin 2020, 46: 1353-1362. PMID: 33259628, PMCID: PMC7707067, DOI: 10.1093/schbul/sbaa086.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAdverse Childhood ExperiencesAgedFamilyFemaleGenetic Predisposition to DiseaseHealth SurveysHumansLife Change EventsLongitudinal StudiesMaleMarijuana UseMiddle AgedMultifactorial InheritanceNetherlandsPsychotic DisordersSchizophreniaSocioeconomic FactorsUrban PopulationYoung AdultConceptsPolygenic risk scoresSchizophrenia polygenic risk scoresMental healthFamily historyNetherlands Mental Health SurveyPopulation-based studyPolygenic riskChildhood traumaMental Health SurveyMental health changesEnvironmental risk factorsGeneral mental healthPopulation mental healthGeneral population sampleSomatic painRisk factorsHealth SurveyRisk scorePRS-SZBipolar disorderEpidemiological settingsMental disordersHealth changesAttributable variationPain
2019
TwinssCan — Gene-Environment Interaction in Psychotic and Depressive Intermediate Phenotypes: Risk and Protective Factors in a General Population Twin Sample
Pries L, Snijders C, Menne-Lothmann C, Decoster J, van Winkel R, Collip D, Delespaul P, De Hert M, Derom C, Thiery E, Jacobs N, Wichers M, Guloksuz S, van Os J, Rutten B. TwinssCan — Gene-Environment Interaction in Psychotic and Depressive Intermediate Phenotypes: Risk and Protective Factors in a General Population Twin Sample. Twin Research And Human Genetics 2019, 22: 460-466. PMID: 31708010, DOI: 10.1017/thg.2019.96.Peer-Reviewed Original ResearchConceptsNeurocognitive processesSalience attributionSocial defeatGeneral population twin sampleExecutive functioningCognitive phenotypesExperimental paradigmSeverity of psychopathologyAffective dysregulationSubclinical expressionDimensional phenotypesMental ill healthClinical psychopathologyTwin sampleOnset of disorderPsychotic experiencesPsychopathologyProtective factorsSchizophrenia ProjectAttributionIll healthIntermediate phenotypesGene-environment interactionsMemoryFunctioningOrganization framework and preliminary findings from the Athens First‐Episode Psychosis Research Study
Xenaki L, Kollias C, Stefanatou P, Ralli I, Soldatos R, Dimitrakopoulos S, Hatzimanolis A, Triantafyllou T, Kosteletos I, Vlachos I, Selakovic M, Foteli S, Mantonakis L, Ermiliou V, Voulgaraki M, Psarra E, Gülöksüz S, van Os J, Stefanis N. Organization framework and preliminary findings from the Athens First‐Episode Psychosis Research Study. Early Intervention In Psychiatry 2019, 14: 343-355. PMID: 31402581, DOI: 10.1111/eip.12865.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAntipsychotic AgentsCohort StudiesFemaleGreeceHumansLongitudinal StudiesMaleMiddle AgedPsychotic DisordersYoung AdultConceptsRisk factorsMild functional improvementLongitudinal cohort studySymptom severity criteriaPoor cognitive performanceOutcome of psychosisPreliminary findingsPatients 16Cohort studyAntipsychotic treatmentClinical pictureFEP patientsClinical managementFunctional improvementFamily historyEmergency unitBaseline presentationSeverity criteriaPsychiatric hospitalPsychotic disordersClinical InterviewDrug usePotential associationGene-environment interaction studiesBiochemical parametersToward incorporating genetic risk scores into symptom networks of psychosis
Isvoranu A, Guloksuz S, Epskamp S, van Os J, Borsboom D, Investigators. Toward incorporating genetic risk scores into symptom networks of psychosis. Psychological Medicine 2019, 50: 636-643. PMID: 30867074, PMCID: PMC7093319, DOI: 10.1017/s003329171900045x.Peer-Reviewed Original Research