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 ResearchConceptsClinical high riskHealthy comparisonsSocial functioningHigh riskPoor social functioningNorth American Prodrome Longitudinal StudyImportant risk factorRisk factorsPsychotic disordersEffective interventionsHealthy youthChildhoodLongitudinal studyAdulthoodPsychosisAssociationAdultsMaladaptationRiskSocial deficitsFurther researchFunctioningCommunity level
2021
Early Interventions for Clinical High-Risk State for Psychosis
ERZİN G, GÜLÖKSÜZ S. Early Interventions for Clinical High-Risk State for Psychosis. Nöro Psikiyatri Arşivi 2021, 58: s7-s11. PMID: 34658629, PMCID: PMC8498818, DOI: 10.29399/npa.27404.Peer-Reviewed Original ResearchClinical high-risk stateHigh-risk stateHigh riskPopulation-based approachCommunity-based youth mental health servicePotential side effect profileYouth mental health servicesSide effect profileTreatment of choiceHigh-risk groupMental health centersPrevention approachesMental health servicesClinical high riskEarly intervention optionsHigh-risk conceptOutcome of psychosisIntervention optionsCognitive behavioral therapyPsychosis incidenceAggressive interventionHealth centersGeneral populationSide effectsEarly interventionWhat makes the psychosis ‘clinical high risk’ state risky: psychosis itself or the co-presence of a non-psychotic disorder?
Hasmi L, Pries L, Have M, de Graaf R, van Dorsselaer S, Bak M, Kenis G, Richards A, Lin B, O'Donovan M, Luykx J, Rutten B, Guloksuz S, van Os J. What makes the psychosis ‘clinical high risk’ state risky: psychosis itself or the co-presence of a non-psychotic disorder? Epidemiology And Psychiatric Sciences 2021, 30: e53. PMID: 34225831, PMCID: PMC8264801, DOI: 10.1017/s204579602100041x.Peer-Reviewed Original ResearchConceptsNon-psychotic disordersClinical high-risk stateClinical high riskHigh-risk stateHigh riskPsychotic symptomsPsychotic experiencesProspective general population cohortEarly psychotic experiencesIncident psychotic experiencesGeneral population cohortHealth service usePsychosis risk statesDrug use disordersPositive family historySchizophrenia polygenic risk scoresPsychosis incidenceAntipsychotic medicationYearly incidenceFamily historyPolygenic risk scoresRisk scoreAPS researchPRS-SZService use
2020
Association of preceding psychosis risk states and non‐psychotic mental disorders with incidence of clinical psychosis in the general population: a prospective study in the NEMESIS‐2 cohort
Guloksuz S, Pries L, Ten Have M, de Graaf R, van Dorsselaer S, Klingenberg B, Bak M, Lin B, van Eijk K, Delespaul P, van Amelsvoort T, Luykx J, Rutten B, van Os J. Association of preceding psychosis risk states and non‐psychotic mental disorders with incidence of clinical psychosis in the general population: a prospective study in the NEMESIS‐2 cohort. World Psychiatry 2020, 19: 199-205. PMID: 32394548, PMCID: PMC7215054, DOI: 10.1002/wps.20755.Peer-Reviewed Original ResearchPsychosis high-risk statePopulation attributable fractionHigh-risk stateNon-psychotic mental disordersPsychosis risk statesDrug use disordersClinical high riskPsychosis incidenceProspective studyClinical psychosisIncidence rateMood disordersUse disordersMental disordersPopulation-based prospective studyCox proportional hazards modelProportional hazards modelHigher relative riskDSM-IV diagnosisPopulation-based improvementsRisk stateComprehensive prevention strategyAttributable fractionRelative riskPsychosis outcomes
2018
Need for evidence-based early intervention programmes: a public health perspective
Guloksuz S, van Os J. Need for evidence-based early intervention programmes: a public health perspective. BMJ Mental Health 2018, 21: 128. PMID: 30282627, PMCID: PMC10270415, DOI: 10.1136/ebmental-2018-300030.Peer-Reviewed Original ResearchConceptsClinical high riskUltra-high riskPsychotic symptomsEarly intervention programsSpecific effective treatmentBroader prevention strategiesIntervention programsPositive psychotic symptomsPublic health impactPublic health perspectivePrognostic accuracyHelp-seeking populationEffective treatmentHigh riskPsychosis benefitPrevention strategiesRisk enrichmentPredictive valueTherapeutic interventionsMeta-analytical evidenceSymptomsHealth perspectiveEarly psychopathologyHealth impactsAssessment tool
2017
A critique of the “ultra‐high risk” and “transition” paradigm
van Os J, Guloksuz S. A critique of the “ultra‐high risk” and “transition” paradigm. World Psychiatry 2017, 16: 200-206. PMID: 28498576, PMCID: PMC5428198, DOI: 10.1002/wps.20423.Peer-Reviewed Original ResearchClinical high riskUltra-high riskCommon mental disordersMental disordersPsychotic experiencesCHR researchHigh-risk approachMental health problemsPublic health perspectiveFalse-positive findingsTransdiagnostic expressionClinical picturePoor outcomePoor prognosisFunctional outcomeBaseline differencesHigh riskOmega-3Health problemsPositive findingsEpidemiological researchDiagnostic shiftUHR sampleYoung individualsHealth perspective