2021
Context v. algorithm: evidence that a transdiagnostic framework of contextual clinical characterization is of more clinical value than categorical diagnosis
van Os J, Pries L, Have M, de Graaf R, van Dorsselaer S, Bak M, Kenis G, Lin B, Gunther N, Luykx J, Rutten B, Guloksuz S. Context v. algorithm: evidence that a transdiagnostic framework of contextual clinical characterization is of more clinical value than categorical diagnosis. Psychological Medicine 2021, 53: 1825-1833. PMID: 37310330, PMCID: PMC10106290, DOI: 10.1017/s0033291721003445.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAnxietyAnxiety DisordersDiagnostic and Statistical Manual of Mental DisordersHumansProspective StudiesConceptsClinical characterizationPolygenic risk scoresClinical valueProspective general population cohortGeneral population cohortUse of medicationsPopulation attributable fractionPrediction of needDSM-IV diagnosisHealth care outcomesSymptom dimensionsTransdiagnostic frameworkClinical factorsAttributable fractionEtiological factorsRisk scoreCare outcomesCategorical algorithmService usePopulation cohortSociodemographic factorsTransdiagnostic symptom dimensionsPhysical healthDiagnosisDSM diagnosesLongitudinal 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 scoringWhat 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 ResearchMeSH KeywordsAnxiety DisordersHumansMood DisordersProspective StudiesPsychotic DisordersSchizophreniaConceptsNon-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 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 SurveyEvidence for an interrelated cluster of Hallucinatory experiences in the general population: an incidence study
Moriyama T, Drukker M, Guloksuz S, Have M, de Graaf R, van Dorsselaer S, Gunther N, Bak M, van Os J. Evidence for an interrelated cluster of Hallucinatory experiences in the general population: an incidence study. Psychological Medicine 2020, 51: 2034-2043. PMID: 32317030, DOI: 10.1017/s0033291720000793.Peer-Reviewed Original ResearchConceptsRisk factorsProspective general population cohortGeneral population cohortIncidence of hallucinationsNon-psychotic disordersEnvironmental risk factorsTerms of prevalenceSelf-reported ratesYearly incidenceOlfactory hallucinationsVisual hallucinationsFunctional impairmentNEMESIS-2General populationPsychotic disordersHallucinatory experiencesPopulation cohortIncidence studyAuditory hallucinationsDelusional ideationCommon underlying mechanismMental disordersIncidenceNEMESIS-1Subsequent courseThe jumping to conclusions reasoning bias as a cognitive factor contributing to psychosis progression and persistence: findings from NEMESIS-2
Rauschenberg C, Reininghaus U, Have M, de Graaf R, van Dorsselaer S, Simons C, Gunther N, Henquet C, Pries L, Guloksuz S, Bak M, van Os J. The jumping to conclusions reasoning bias as a cognitive factor contributing to psychosis progression and persistence: findings from NEMESIS-2. Psychological Medicine 2020, 51: 1696-1703. PMID: 32174291, PMCID: PMC8327623, DOI: 10.1017/s0033291720000446.Peer-Reviewed Original Research
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 interactionsMemoryFunctioning