2023
The association between autistic traits and quality of social interactions in the daily life of adolescents and young adults
Fusar-Poli L, Investigators T, van Os J, Rutten B, Guloksuz S. The association between autistic traits and quality of social interactions in the daily life of adolescents and young adults. European Psychiatry 2023, 66: s76-s76. PMCID: PMC10596031, DOI: 10.1192/j.eurpsy.2023.246.Peer-Reviewed Original ResearchHigh autistic traitsAutism Spectrum QuotientAutistic traitsAutism spectrum disorderSocial interactionLow senseExperience sampling periodEveryday social interactionsNon-autistic subjectsDisclosure of interestDaily lifePsychosocial interventionsSpectrum disorderRepetitive behaviorsSocial communicationSocial functioningNeurodevelopmental conditionsHigh senseYoung adultsYouthParticipantsTraitsGeneral populationSenseHigher preference
2022
Age- and sex-specific associations between risk scores for schizophrenia and self-reported health in the general population
Paquin V, Pries L, ten Have M, Bak M, Gunther N, de Graaf R, van Dorsselaer S, Lin B, van Eijk K, Kenis G, Richards A, O’Donovan M, Luykx J, Rutten B, van Os J, Shah J, Guloksuz S. Age- and sex-specific associations between risk scores for schizophrenia and self-reported health in the general population. Social Psychiatry And Psychiatric Epidemiology 2022, 58: 43-52. PMID: 35913550, PMCID: PMC9845157, DOI: 10.1007/s00127-022-02346-3.Peer-Reviewed Original ResearchConceptsSex-specific associationsSelf-reported healthPRS-SCZES-SCZPhysical healthGeneral populationNetherlands Mental Health SurveyIncidence Study-2Mental Health SurveyHealth SurveyRisk scoreAge 65Common genetic variantsHealth correlatesAge 18Poor healthOlder individualsMental healthPolygenic riskLinear mixed modelsAgeSexExposome scoreHealthAssociationPolygenic risk scores for predicting outcomes and treatment response in psychiatry: hope or hype?
Fusar-Poli L, Rutten B, van Os J, Aguglia E, Guloksuz S. Polygenic risk scores for predicting outcomes and treatment response in psychiatry: hope or hype? International Review Of Psychiatry 2022, 34: 663-675. PMID: 36786114, DOI: 10.1080/09540261.2022.2101352.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresTreatment responseRisk scoreMental disordersDetailed clinical characterizationPresent narrative reviewPotential clinical utilityMajor mental disordersIndividual genetic predispositionRisk stratificationPrognostic evaluationClinical characterizationWide association study datasetsClinical utilityGeneral populationGenetic predispositionNarrative reviewSingle nucleotide polymorphisms
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 interventionLongitudinal 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 ResearchConceptsNumber 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 scoring
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 curveScoresM126. THE MAIN AND INTERACTIVE EFFECTS OF ADULT STRESSFUL LIFE EVENTS WITH GENOMIC AND EXPOSOMIC LIABILITY FOR SCHIZOPHRENIA ON MENTAL AND PHYSICAL HEALTH: A PROSPECTIVE COHORT STUDY
Pries L, Have M, de Graaf R, van Dorsselaer S, Gunther N, Bak M, Li B, Luykx J, Rutten B, van Os J, Guloksuz S. M126. THE MAIN AND INTERACTIVE EFFECTS OF ADULT STRESSFUL LIFE EVENTS WITH GENOMIC AND EXPOSOMIC LIABILITY FOR SCHIZOPHRENIA ON MENTAL AND PHYSICAL HEALTH: A PROSPECTIVE COHORT STUDY. Schizophrenia Bulletin 2020, 46: s183-s183. PMCID: PMC7234581, DOI: 10.1093/schbul/sbaa030.438.Peer-Reviewed Original ResearchAdult stressful life eventsAssociations of SLEsStressful life eventsGeneral populationPhysical healthMental healthHealth SurveyHealth outcomesShort Form-36 Health SurveyNetherlands Mental Health SurveyImpact of SLEsRecent stressful life eventsProspective cohort studyPrevious health statusMental Health SurveyDutch general populationLife eventsCohort studyProspective surveyPolygenic risk scoresRisk scoreGene-environment interactionsGenetic predispositionHealth statusSchizophreniaEvidence 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 course
2019
O6.7. TESTING THE HIGH RISK AND TRANSITION FRAMEWORK IN THE GENERAL POPULATION: POPULATION-BASED MEASURES OF RISK AND TRANSITION FOR PSYCHOSIS 6-YEAR LONGITUDINAL FOLLOW-UP
Pries L, Guloksuz S, Have M, de Graaf R, van Dorsselaer S, Rutten B, Van Os J. O6.7. TESTING THE HIGH RISK AND TRANSITION FRAMEWORK IN THE GENERAL POPULATION: POPULATION-BASED MEASURES OF RISK AND TRANSITION FOR PSYCHOSIS 6-YEAR LONGITUDINAL FOLLOW-UP. Schizophrenia Bulletin 2019, 45: s178-s178. PMCID: PMC6455329, DOI: 10.1093/schbul/sbz021.223.Peer-Reviewed Original ResearchPsychometric liability to psychosis and childhood adversities are associated with shorter telomere length: A study on schizophrenia patients, unaffected siblings, and non-clinical controls
Çevik B, Mançe-Çalışır Ö, Atbaşoğlu E, Saka M, Alptekin K, Üçok A, Sırmatel B, Gülöksüz S, Tükün A, van Os J, Gümüş-Akay G. Psychometric liability to psychosis and childhood adversities are associated with shorter telomere length: A study on schizophrenia patients, unaffected siblings, and non-clinical controls. Journal Of Psychiatric Research 2019, 111: 169-185. PMID: 30776705, DOI: 10.1016/j.jpsychires.2019.01.022.Peer-Reviewed Original ResearchConceptsShorter telomere lengthLonger telomere lengthChildhood adversityTelomere lengthUnaffected siblingsSCZ patientsChronic medical disordersCourse of schizophreniaSimilar telomere lengthPsychotic-like symptomsHypothesis patientsClinical presentationNon-clinical controlsMedical disordersGeneral populationFunctioning scoresPatientsSchizophrenia patientsSocio-demographic featuresGlobal assessmentEarly onsetSchizophreniaLife expectancyAges 0Potential role
2018
Reasoning bias, working memory performance and a transdiagnostic phenotype of affective disturbances and psychotic experiences in the general population
Reininghaus U, Rauschenberg C, Have M, de Graaf R, van Dorsselaer S, Simons CJP, Gunther N, Pries LK, Guloksuz S, Radhakrishnan R, Bak M, van Os J. Reasoning bias, working memory performance and a transdiagnostic phenotype of affective disturbances and psychotic experiences in the general population. Psychological Medicine 2018, 49: 1799-1809. PMID: 30160228, DOI: 10.1017/s0033291718002209.Peer-Reviewed Original ResearchConceptsComposite International Diagnostic InterviewAffective disturbancesPsychotic experiencesNetherlands Mental Health SurveySecond Netherlands Mental Health SurveyTransdiagnostic phenotypeJTC biasMental Health SurveyDose-response relationshipGeneral population sampleHealth SurveyGeneral populationIncidence studyHelp-seeking behaviorDiagnostic InterviewTime pointsMemory performanceConclusions reasoning biasPopulation sampleRecent findingsPhenotypeDigit span taskIndividualsFindingsPsychosisT115. REASONING BIAS, WORKING MEMORY PERFORMANCE, AND A TRANSDIAGNOSTIC PHENOTYPE OF AFFECTIVE DISTURBANCES AND PSYCHOTIC EXPERIENCES IN THE GENERAL POPULATION
Rauschenberg C, Reininghaus U, Have M, de Graaf R, van Dorsselaer S, Gunther N, Pries L, Guloksuz S, Radhakrishnan R, Bak M, van Os J. T115. REASONING BIAS, WORKING MEMORY PERFORMANCE, AND A TRANSDIAGNOSTIC PHENOTYPE OF AFFECTIVE DISTURBANCES AND PSYCHOTIC EXPERIENCES IN THE GENERAL POPULATION. Schizophrenia Bulletin 2018, 44: s160-s161. PMCID: PMC5888643, DOI: 10.1093/schbul/sby016.391.Peer-Reviewed Original ResearchComposite International Diagnostic InterviewHelp-seeking behaviorAffective disturbancesGeneral populationPsychotic experiencesTransdiagnostic phenotypeNetherlands Mental Health SurveyJTC biasSecond Netherlands Mental Health SurveyMental Health SurveyRepresentative general population sampleDose-response relationshipGeneral population sampleMemory performanceSocio-demographic characteristicsRisk factorsHealth SurveyIncidence studySocio-environmental factorsDiagnostic InterviewCognitive deficitsMental healthSymptom domainsTime pointsPsychosisHigher schizotypy predicts better metabolic profile in unaffected siblings of patients with schizophrenia
Atbasoglu E, Gumus-Akay G, Guloksuz S, Saka M, Ucok A, Alptekin K, Gullu S, van Os J. Higher schizotypy predicts better metabolic profile in unaffected siblings of patients with schizophrenia. Psychopharmacology 2018, 235: 1029-1039. PMID: 29306964, DOI: 10.1007/s00213-017-4818-z.Peer-Reviewed Original ResearchConceptsInsulin resistanceDopaminergic activityMetabolic profileHomeostatic model assessmentHDL-C levelsBetter metabolic profilesFavorable metabolic profilePancreatic insulin secretionUnaffected siblingsBeads taskResultsInsulin resistanceTertile groupRegression modelsCentral actionInsulin secretionGeneral populationGenetic predispositionGlucose metabolismModel assessmentSZ patientsRegulatory roleDirect actionSignificant predictorsHigher likelihoodLongitudinal study