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 diagnosesWhat 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 useEmotion regulation in response to daily negative and positive events in youth: The role of event intensity and psychopathology
Hiekkaranta A, Kirtley O, Lafit G, Decoster J, Derom C, de Hert M, Gülöksüz S, Jacobs N, Menne-Lothmann C, Rutten B, Thiery E, van Os J, van Winkel R, Wichers M, Myin-Germeys I. Emotion regulation in response to daily negative and positive events in youth: The role of event intensity and psychopathology. Behaviour Research And Therapy 2021, 144: 103916. PMID: 34224990, DOI: 10.1016/j.brat.2021.103916.Peer-Reviewed Original ResearchConceptsEmotion regulationNegative eventsEmotion expressionPositive eventsEmotion regulation effortsSubsequent emotion regulationRole of contextIndividual contextual factorsSituation modificationDegree of effortPsychopathology symptomsYouth sampleRegulation effortsStrategy diversityContextual factorsPsychopathologyCurrent articleYoung peopleEvent intensitySavoringEmotionsRuminationPeopleReappraisalYouth
2014
Clinical Features of Night Eating Syndrome among Depressed Patients
Kucukgoncu S, Tek C, Bestepe E, Musket C, Guloksuz S. Clinical Features of Night Eating Syndrome among Depressed Patients. European Eating Disorders Review 2014, 22: 102-108. PMID: 24436087, DOI: 10.1002/erv.2280.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAnxiety DisordersBody Mass IndexCircadian RhythmDepressionFeeding and Eating DisordersFeeding BehaviorFemaleHumansInterviews as TopicMaleMiddle AgedObesityPersonality InventoryPrevalencePsychiatric Status Rating ScalesQuality of LifeRegression AnalysisSocioeconomic FactorsStress, PsychologicalSurveys and QuestionnairesSyndromeYoung AdultConceptsPittsburgh Sleep Quality IndexBeck Depression InventoryBeck Anxiety InventoryClinical featuresDepressed patientsDepression InventoryNon-NE patientsNight eating syndromeSleep Quality IndexSample of patientsAnxiety InventorySeverity of anxietyNight Eating QuestionnaireSocio-demographic formSmoking statusDaytime dysfunctionSleep qualityDepressed outpatientsPatientsSyndromeEating QuestionnaireStudy sampleBMISignificant differencesDepression