2023
T15. THE ADDITIVE VALUE OF BRAIN LIFESTYLE IN THE EXPLANATORY ABILITY OF POLYGENIC RISK PROFILES ON COGNITIVE PERFORMANCE IN AGING INDIVIDUALS
Zhang Y, Gülöksüz S, Stehouwer C, Greevenbroek M, Köhler S, Eussen S, Bosma H, Boxtel M, Schram M, Linden D, Rutten B, Blokland G. T15. THE ADDITIVE VALUE OF BRAIN LIFESTYLE IN THE EXPLANATORY ABILITY OF POLYGENIC RISK PROFILES ON COGNITIVE PERFORMANCE IN AGING INDIVIDUALS. European Neuropsychopharmacology 2023, 75: s169-s170. DOI: 10.1016/j.euroneuro.2023.08.303.Peer-Reviewed Original ResearchPolygenic risk scoresCognitive domainsCognitive functionHeritability of cognitive functionsEffect of polygenic risk scoresEnvironmental influencesThe Maastricht StudyPotential cognitive deficitsOverall cognitive functionBrain health indexImpact cognitive healthRisk factorsGenetic predispositionGene-environment interactionsCardio-metabolic diseasesLIBRA scoresNon-adjusted modelCognitive phenotypesCognitive deficitsCognitive performanceCognitive healthLifestyle factorsOverall cognitionBrain structuresMental healthCoping and sleep quality in youth: An Experience Sampling study
Hagemann N, Kirtley O, Lafit G, Vancampfort D, Wampers M, Decoster J, Derom C, Gülöksüz S, De Hert M, Jacobs N, Menne‐Lothmann C, Rutten B, Thiery E, van Os J, van Winkel R, Wichers M, Myin‐Germeys I. Coping and sleep quality in youth: An Experience Sampling study. Journal Of Adolescence 2023, 95: 566-583. PMID: 36647754, DOI: 10.1002/jad.12137.Peer-Reviewed Original ResearchConceptsEmotion-focused copingExperience Sampling StudySleep qualityDaily sleep qualitySample of youthLocus of controlSampling studyUtrecht Coping ListPassive reactionNegative eventsDaily lifeFuture insomniaCopingSleep problemsQuality of sleepMental wellMental healthDisengagementYouthState locusIndividual presentStyleDecreased sleep qualitySleepPsychopathology
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 scoreHealthAssociationExposome and Trans-syndromal Developmental Trajectories Toward Psychosis
Barzilay R, Pries L, Moore T, Gur R, van Os J, Rutten B, Guloksuz S. Exposome and Trans-syndromal Developmental Trajectories Toward Psychosis. Biological Psychiatry Global Open Science 2022, 2: 197-205. PMID: 36325037, PMCID: PMC9616341, DOI: 10.1016/j.bpsgos.2022.05.001.Peer-Reviewed Original ResearchEnvironmental exposuresEarly life environmental exposuresNonspecific clinical presentationClinical presentationTrajectories of riskClinical settingPrenatal periodMental healthDevelopmental cohortGenetic factorsEarly childhoodYounger cohortsCategorical outcomesSensitive periodCohortDevelopmental disordersAdolescent psychopathologyEarly intervention service systems for youth mental health: integrating pluripotentiality, clinical staging, and transdiagnostic lessons from early psychosis
Shah J, Jones N, van Os J, McGorry P, Gülöksüz S. Early intervention service systems for youth mental health: integrating pluripotentiality, clinical staging, and transdiagnostic lessons from early psychosis. The Lancet Psychiatry 2022, 9: 413-422. PMID: 35430004, DOI: 10.1016/s2215-0366(21)00467-3.Peer-Reviewed Original ResearchConceptsRisk mental stateBroader mental health systemNon-psychotic disordersPerson-centred careMental health systemYouth mental healthClinical stagingEarly intervention service systemFirst episodeRelevance of outcomesEarly psychosisCenters of expertiseFrequent developmentDifferential riskClinical researchHealth systemPsychosisSpecific interventionsMental healthSyndromeMental statesDisordersTraditional diagnosisOutcomesClinic
2021
Genetic Risk for Smoking: Disentangling Interplay Between Genes and Socioeconomic Status
Pasman J, Demange P, Guloksuz S, Willemsen A, Abdellaoui A, ten Have M, Hottenga J, Boomsma D, de Geus E, Bartels M, de Graaf R, Verweij K, Smit D, Nivard M, Vink J. Genetic Risk for Smoking: Disentangling Interplay Between Genes and Socioeconomic Status. Behavior Genetics 2021, 52: 92-107. PMID: 34855049, PMCID: PMC8860781, DOI: 10.1007/s10519-021-10094-4.Peer-Reviewed Original ResearchConceptsLifetime smokingSocioeconomic statusNetherlands Mental Health SurveyMental healthIncidence Study-2Mental Health SurveyNeighborhood socioeconomic statusGenome-wide association studiesGenetic liabilityHealth SurveySmokingGene-environment interactionsEducational attainmentEA effectNetherlands Twin RegisterSmoking traitsGenetic riskPolygenic scoresEtiology of smokingPredictive profilesTwin RegisterSES characteristicsUK BiobankReliable predictorHealth
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 SurveyDo 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 variationPainM126. 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 statusSchizophrenia
2018
F215. Gene- and Pathway-Based Analysis of the Ischemia-Hypoxia Response to Developmental Adversities: Testing the Developmental Origins of Health and Disease (DOHaD) Model in Mental Health
Guloksuz S, Schmidt-Kastner R, Richards A, Drukker M, Kenis G, Viechtbauer W, Pishva E, Wichers M, Jacobs N, Thiery E, Derom C, van Winkel R, Holmans P, O’Donovan M, van Os J, Rutten B, Investigators E. F215. Gene- and Pathway-Based Analysis of the Ischemia-Hypoxia Response to Developmental Adversities: Testing the Developmental Origins of Health and Disease (DOHaD) Model in Mental Health. Biological Psychiatry 2018, 83: s322-s323. DOI: 10.1016/j.biopsych.2018.02.829.Peer-Reviewed Original ResearchT115. 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 pointsPsychosis
2017
The experience sampling method as an mHealth tool to support self‐monitoring, self‐insight, and personalized health care in clinical practice
van Os J, Verhagen S, Marsman A, Peeters F, Bak M, Marcelis M, Drukker M, Reininghaus U, Jacobs N, Lataster T, Simons C, Investigators E, Lousberg R, Gülöksüz S, Leue C, Groot P, Viechtbauer W, Delespaul P. The experience sampling method as an mHealth tool to support self‐monitoring, self‐insight, and personalized health care in clinical practice. Depression And Anxiety 2017, 34: 481-493. PMID: 28544391, DOI: 10.1002/da.22647.Peer-Reviewed Original ResearchConceptsExperience sampling methodClinical practiceTrial of MindfulnessESM data collectionPersonalized trajectoriesEmotion dynamicsCognitive abilitiesRoutine clinical practiceDifferent patient groupsNatural rewardsRoutine outcome measurementDaily lifeBlended careMix of faceImplicit patternsMental healthSmartphone usePatient groupOffice treatmentTwin studiesOutcome measurementsProcess of diagnosisMHealth toolsTreatment evaluationDecision making