0000000000200962

AUTHOR

José Luis Santos

showing 9 related works from this author

White Noise Speech Illusions: A Trait-Dependent Risk Marker for Psychotic Disorder?

2019

Supported by the European Community’s Seventh Framework Program under grant agreement No. HEALTH-F2-2009-241909 (Project EU-GEI)

SYMPTOMSCommunity Assessment of Psychic ExperiencesPsychotic disorder0302 clinical medicinecognitive abilitylcsh:PsychiatrySCHIZOPHRENIASalut mentalOriginal Researchmedia_commonPsychiatryCognitive abilityCognition16. Peace & justiceCHILDHOOD TRAUMAPsychiatry and Mental healthSchizophreniaRELIABILITYTraitHALLUCINATIONSClinical psychologyInfàncialcsh:RC435-571media_common.quotation_subjectIllusionQUESTIONNAIREPsicosiLife events03 medical and health scienceschildhood adversityTHREATENING EXPERIENCESmedicinePsiquiatriaSiblingVALIDITYAssociation (psychology)White noise speech illusionsENVIRONMENTwhite noise speech illusionsbusiness.industrySHORT-FORMPsychosesOdds ratiopsychotic disordermedicine.diseaseChildhoodConfidence interval030227 psychiatrylife eventsTrastorns de la parlaChildhood adversitybusiness030217 neurology & neurosurgery
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Pre-training inter-rater reliability of clinical instruments in an international psychosis research project.

2021

International audience

Research designPsychosisINFORMATIONIMPACTApplied psychologyMEDLINEAssessor selection Pre-training inter-rater reliability Psychosis instruments03 medical and health sciences0302 clinical medicineMedicineHumansBiological PsychiatryComputingMilieux_MISCELLANEOUSObserver VariationREPRODUTIBILIDADE DE RESULTADOSbusiness.industryPre-training inter-rater reliabilityReproducibility of Resultsmedicine.disease030227 psychiatryPsychiatry and Mental healthInter-rater reliabilityAssessor selectionTRIALSPsychotic DisordersResearch Design[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]MEASUREMENT ERRORbusinessObserver variation030217 neurology & neurosurgeryPsychosis instrumentsSchizophrenia research
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Jumping To Conclusions, General Intelligence, And Psychosis Liability: Findings From The Multi-Centre EU-GEI Case-Control Study

2019

AbstractBackgroundThe “jumping to conclusions” (JTC) bias is associated with both psychosis and general cognition but their relationship is unclear. In this study, we set out to clarify the relationship between the JTC bias, IQ, psychosis and polygenic liability to schizophrenia and IQ.Methods817 FEP patients and 1294 population-based controls completed assessments of general intelligence (IQ), and JTC (assessed by the number of beads drawn on the probabilistic reasoning “beads” task) and provided blood or saliva samples from which we extracted DNA and computed polygenic risk scores for IQ and schizophrenia.ResultsThe estimated proportion of the total effect of case/control differences on J…

education.field_of_studyMediation (statistics)PsychosisPopulationCognitionmedicine.diseaseCognitive bias030227 psychiatry03 medical and health sciences0302 clinical medicineSchizophreniaJumping to conclusionsmedicinemedicine.symptomeducationPsychology030217 neurology & neurosurgeryCognitive deficitClinical psychology
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Treated Incidence of Psychotic Disorders in the Multinational EU-GEI Study

2018

Importance: Psychotic disorders contribute significantly to the global disease burden, yet the latest international incidence study of psychotic disorders was conducted in the 1980s. Objectives: To estimate the incidence of psychotic disorders using comparable methods across 17 catchment areas in 6 countries and to examine the variance between catchment areas by putative environmental risk factors. Design, Setting, and Participants: An international multisite incidence study (the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions) was conducted from May 1, 2010, to April 1, 2015, among 2774 individuals from England (2 catchment areas), France (3 catch…

Male2.3 Psychological social and economic factorsSYMPTOMS[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiologyenvironmental risk factorsCatchment Area HealthRisk FactorsSCHIZOPHRENIADEPRIVATIONComputingMilieux_MISCELLANEOUShealth care economics and organizationsMinority Groups44 Human SocietyOriginal InvestigationNetherlands2 AetiologyOUTCOMES[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behaviorpsychotic disorders; international multisite incidence study; EU-GEI Study; environmental risk factorsIncidenceAge Factors[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive SciencesMental HealthEnglandItalyPsychiatry and Mental Health4206 Public Healthpopulation characteristicsFemaleFrancegeographic locationsBrazilAdultCross-Cultural ComparisonURBANICITYeducationAGESex Factorsparasitic diseasesHumans1ST-EPISODE PSYCHOSISRATESNOTTINGHAMinternational multisite incidence studyMETAANALYSISPublishingEU-GEI Study[SCCO.NEUR]Cognitive science/NeurosciencePrevention42 Health SciencesPsychotic DisordersSpainGene-Environment Interaction
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Glycolysis/gluconeogenesis- and tricarboxylic acid cycle–related metabolites, Mediterranean diet, and type 2 diabetes

2020

Background: Glycolysis/gluconeogenesis and tricarboxylic acid (TCA) cycle metabolites have been associated with type 2 diabetes (T2D). However, the associations of these metabolites with T2D incidence and the potential effect of dietary interventions remain unclear. Objectives: We aimed to evaluate the association of baseline and 1-y changes in glycolysis/gluconeogenesis and TCA cycle metabolites with insulin resistance and T2D incidence, and the potential modifying effect of Mediterranean diet (MedDiet) interventions. Methods: We included 251 incident T2D cases and 638 noncases in a nested case-cohort study within the PREDIMED Study during median follow-up of 3.8 y. Participants were alloc…

0301 basic medicineMalemedicine.medical_specialtyMediterranean dietPopulationCitric Acid CycleMedicine (miscellaneous)030209 endocrinology & metabolismType 2 diabetesDiet MediterraneanCohort Studies03 medical and health sciences0302 clinical medicineInsulin resistanceInternal medicineMetabolomicsMedicineHumansGlycolysiseducationAgedAged 80 and overeducation.field_of_studyNutrition and Dieteticsbusiness.industryGlycolysis metabolitesGluconeogenesisInsulin resistanceType 2 diabetesTricarboxylic acid cycle metabolitesMiddle Agedmedicine.diseaseCitric acid cycleOriginal Research Communications030104 developmental biologyEndocrinologyGluconeogenesisDiabetes Mellitus Type 2Relative riskCase-Control StudiesFemalebusinessGlycolysis
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Jumping to conclusions, general intelligence, and psychosis liability: Findings from the multi-centre EU-GEI case-control study

2021

This study was funded by the Medical Research Council, the European Community’s Seventh Framework Program grant [agreement HEALTH-F2-2009-241909 (Project EU-GEI)], São Paulo Research Foundation (grant 2012/0417-0), the National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust and King’s College London, the NIHR BRC at University College London and the Wellcome Trust (grant 101272/Z/12/Z).

MaleMISCOMPREHENSIONIntelligenceDELÍRIO0302 clinical medicineCognitionSCHIZOPHRENIApsychotic-like experiencejumping to conclusionsApplied PsychologyProblem SolvingRISKeducation.field_of_studyCognitionMiddle Aged16. Peace & justiceCognitive bias3. Good healthFirst episode psychosis; IQ; jumping to conclusions; polygenic risk score; psychotic-like experiences; symptom dimensionsPsychiatry and Mental healthBIASSchizophreniaRELIABILITYFemaleOriginal Articlejumping to conclusion[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]medicine.symptomClinical psychologyAdultPsychosisFirst episode psychosisAdolescentDISORDERSPopulationREEXAMINATIONDelusionssymptom dimensions03 medical and health sciencesYoung AdultPEOPLEmedicineHumansCognitive DysfunctioneducationDELUSIONAL IDEATIONCognitive deficitpsychotic-like experiencesbusiness.industryCase-control studymedicine.diseaseFirst episode psychosi030227 psychiatryPsychotic DisordersIQCase-Control StudiesJumping to conclusionspolygenic risk scorebusiness030217 neurology & neurosurgeryPsychological medicine
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40(th) EASD Annual Meeting of the European Association for the Study of Diabetes : Munich, Germany, 5-9 September 2004

2004

0303 health sciencesmedicine.medical_specialtybusiness.industryEASDEndocrinology Diabetes and MetabolismHuman physiologymedicine.disease03 medical and health sciences0302 clinical medicineDiabetes mellitusFamily medicineInternal MedicineMedicinebusiness030217 neurology & neurosurgery030304 developmental biology
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The EUropean Network of National Schizophrenia Networks Studying Gene-Environment Interactions (EU-GEI)

2020

Funder: FP7 Ideas: European Research Council; doi: http://dx.doi.org/10.13039/100011199; Grant(s): HEALTH-F2-2010-241909

MaleHealth (social science)EpidemiologyEthnic groupEthnic GroupGene-environment interactionsEnvironment–environment interactions0302 clinical medicineEpidemiologyEthnicity10. No inequalityFirst episodeRISKbiologyIncidence (epidemiology)IncidenceCANNABISMiddle AgedCase-controlFirst-episode psychosis3. Good healthEuropePsychiatry and Mental healthCase–control Environment–environment interactions EU-GEI First-episode psychosis Gene–environment interactions IncidenceCase–control; EU-GEI; Environment–environment interactions; First-episode psychosis; Gene–environment interactions; IncidenceSchizophreniaCohortFemalePsychologyCase-Control StudieCase–controlBrazilHumanAdultmedicine.medical_specialtySocial PsychologyAdolescentStudy Protocols and SamplesDISORDERSEnvironment–environment interactionRepresentativeness heuristicEU-GEIGene–environment interactions03 medical and health sciencesYoung AdultPSYCHOSISAGEFirst-episode psychosiEnvironment-environment interactionsmedicineHumansGene–environment interactionSettore MED/25 - PsichiatriaMETAANALYSISbiology.organism_classificationmedicine.disease030227 psychiatryCase-Control StudiesSchizophreniaGene-Environment InteractionCannabisCHILDHOOD ADVERSITIES030217 neurology & neurosurgeryDemographySocial Psychiatry and Psychiatric Epidemiology
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Estimating Exposome Score for Schizophrenia Using Predictive Modeling Approach in Two Independent Samples: The Results From the EUGEI Study

2019

The EUGEI project was supported by the grant agreement HEALTH-F2-2010-241909 from the European Community’s Seventh Framework Programme. The authors are grateful to the patients and their families for participating in the project. They also thank all research personnel involved in the GROUP project, in particular J. van Baaren, E. Veermans, G. Driessen, T. Driesen, E. van’t Hag and J. de Nijs. Bart PF Rutten was funded by a VIDI award number 91718336 from the Netherlands Scientific Organisation.

MalecannabisLogistic regression0302 clinical medicineLasso (statistics)Adverse Childhood ExperiencesStatisticsOdds RatioChild AbusePOLYGENIC RISKpsychosisChildPsychiatrySUMMER BIRTHFramingham Risk Score3. Good healthExposomePsychiatry and Mental healthmachine learningSchizophreniaArea Under CurveFemaleMarijuana UseSeasonsEnvironment And Schizophrenia—Feature Editor: Jim van OsLife Sciences & Biomedicineenvironmentpredictive modelingAdultExposomeDISORDERSrisk scoreYoung Adult03 medical and health sciencesPSYCHOSISmedicineJournal ArticleHumansHearing LossMETAANALYSISDEFICIT SCHIZOPHRENIAENVIRONMENTModels StatisticalScience & Technologychildhood traumaReceiver operating characteristicbusiness.industrySiblingsBullyingBayes TheoremChild Abuse SexualOdds ratiohearing impairmentmedicine.disease030227 psychiatryschizophreniaLogistic ModelsROC CurveSexual abuseCase-Control StudiesbusinessCHILDHOOD ADVERSITIES030217 neurology & neurosurgerywinter birth
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