0000000000161661

AUTHOR

Ricard Navinés

showing 4 related works from this author

Research Letter: is neuroticism a risk factor for postpartum depression?

2012

Although the relationship between personality and depressive illness is complex (Shea, 2005), there is empirical evidence that some personality features such as neuroticism, harm avoidance, introversion, dependency, self-criticism or perfectionism are related to depressive illness risk (Gunderson et al. 1999). Moreover, personality traits, especially neuroticism, may explain the increased prevalence of depression among females (Goodwin & Gotlib, 2004). Few studies have explored neuroticism, extraversion and psychoticism as risk factors for depression after an event as stressful as childbirth. Pitt (1968) was the first author to report high scores on neuroticism and low scores on extraversio…

Postpartum depressionNeurotic DisordersDepresión postpartoEvaluación de la personalidad:Named Groups::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings]medicine.disease_causePersonality Assessment:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings]:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]PregnancyRisk Factors62P ApplicationsBig Five personality traits:Psychiatry and Psychology::Mental Disorders::Neurotic Disorders [Medical Subject Headings]Applied Psychology:Phenomena and Processes::Reproductive and Urinary Physiological Phenomena::Reproductive Physiological Phenomena::Reproductive Physiological Processes::Reproduction::Pregnancy [Medical Subject Headings]education.field_of_studyPerfectionism (psychology)Middle AgedNeuroticismPsychiatry and Mental healthMathematical statistics:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Models Statistical::Logistic Models [Medical Subject Headings]:Named Groups::Persons::Age Groups::Adolescent [Medical Subject Headings]Harm avoidanceFemaleEstudios de seguimientoPsychology:Psychiatry and Psychology::Behavioral Disciplines and Activities::Personality Assessment [Medical Subject Headings]Factores de riesgoAdultmedicine.medical_specialtyAdolescent:Named Groups::Persons::Age Groups::Adult::Young Adult [Medical Subject Headings]PopulationEstadísticaDepression PostpartumYoung AdultPsychoticismCorrespondence:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Follow-Up Studies [Medical Subject Headings]medicine:Named Groups::Persons::Age Groups::Adult [Medical Subject Headings]Humans:Psychiatry and Psychology::Behavioral Disciplines and Activities::Psychiatric Status Rating Scales [Medical Subject Headings]Escalas de valoración psiquiátricaPsychiatryeducationPsychiatric Status Rating ScalesExtraversion and introversion:Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària [Àrees temàtiques de la UPC]:Psychiatry and Psychology::Mental Disorders::Mood Disorders::Depressive Disorder::Depression Postpartum [Medical Subject Headings]medicine.diseaseLogistic Models:Check Tags::Female [Medical Subject Headings]Trastornos neuróticosFollow-Up Studies
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Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and…

2020

Objective Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and…

MaleDepressive disordersSCHEDULESACCURACYSocio-culturaleHospital Anxiety and Depression ScaleOdds03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingIndividual participant data meta-analysisMedicineHumansMajor depression030212 general & internal medicineVALIDITYDepression (differential diagnoses)Mini-international neuropsychiatric interviewProbabilityPsychiatric Status Rating ScalesDepressive Disorder MajorDepressive disorders Diagnostic interviews Hospital Anxiety and Depression Scale Individual participant data meta-analysis Major depressionbusiness.industryIndividual participant dataOdds ratioCIDIAn individual participant data meta-analysis of 73 primary studies.- Journal of psychosomatic research cilt.129 ss.109892 2020 [Wu Y. Levis B. Sun Y. Krishnan A. He C. Riehm K. Rice D. Azar M. Yan X. Neupane D. et al. -Probability of major depression diagnostic classification based on the SCID CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores]3. Good healthPsychiatry and Mental healthClinical PsychologyHospital Anxiety and Depression ScaleMeta-analysisDiagnostic interviews/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalebusiness030217 neurology & neurosurgeryClinical psychology
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Coping strategies and postpartum depressive symptoms: A structural equation modelling approach.

2014

AbstractBackgroundVariables such as the mother's personality, social support, coping strategies and stressful events have been described as risk factors for postpartum depression. Structural Equation Modelling (SEM) analysis was used to examine whether neuroticism, perceived social support, perceived life events, and coping strategies are associated with postpartum depressive symptoms at the 8th and 32nd weeks.MethodsA total of 1626 pregnant women participated in a longitudinal study. Different evaluations were performed 8 and 32 weeks after delivery. Several measures were used: the Edinburgh Postnatal Depression Scale (EPDS), the Diagnostic Interview for Genetic Studies (DIGS), the Eysenck…

Postpartum depressionAdultCoping (psychology)Longitudinal studymedia_common.quotation_subjectStatistics as TopicPsychological TechniquesPersonality AssessmentDepression PostpartumLife Change EventsSocial supportPredictive Value of TestsPregnancyRisk FactorsAdaptation PsychologicalmedicinePersonalityHumansLongitudinal Studiesmedia_commonNeuroticismPostpartum PeriodSocial Supportmedicine.diseasePrognosisNeuroticismAnxiety DisordersEysenck Personality QuestionnairePsychiatry and Mental healthEdinburgh Postnatal Depression ScaleFemalePsychologyStress PsychologicalClinical psychologyEuropean psychiatry : the journal of the Association of European Psychiatrists
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Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis.

2020

Objectives Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale – depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence. Methods We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major…

AdultMalemedicine.medical_specialtyMEDLINEDiagnostic interviewScale Individual participant dataHospital Anxiety and Depression Scale03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingHospital Anxiety and DepressionInternal medicinePrevalenceMedicineHumansScreening tool030212 general & internal medicineDepression (differential diagnoses)Screening toolsAgedDepressive Disorder Majorbusiness.industryDepressionIndividual participant dataIndividual participant dataMiddle AgedConfidence interval3. Good healthPsychiatry and Mental healthClinical PsychologyHospital Anxiety and Depression ScaleMeta-analysisMeta-analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalebusiness030217 neurology & neurosurgeryJournal of psychosomatic research
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