2023
Longitudinal invariance of psychotic experiences in children and adolescents: What do the data tell us?
Barbosa M, Machado V, Ziebold C, Moriyama T, Bressan R, Pan P, Rohde L, Miguel E, Fonseca L, Van Os J, Gadelha A. Longitudinal invariance of psychotic experiences in children and adolescents: What do the data tell us? Schizophrenia Research 2023, 255: 33-40. PMID: 36958268, DOI: 10.1016/j.schres.2023.03.003.Peer-Reviewed Original ResearchConceptsPsychotic experiencesTime pointsHigh-risk cohortPrevious systematic reviewDifferent age groupsDifferent time pointsBaseline evaluationLifetime psychotic experiencesPositive symptomsSystematic reviewAge groupsPerceptual abnormalitiesLongitudinal studyBrazilian High-Risk CohortPsychosis pronenessGood model fit indicesThree-factor solutionChildren
2021
Longitudinal associations between positive attributes and psychopathology and their interactive effects on educational outcomes
Romani-Sponchiado A, Vidal-Ribas P, Bressan R, de Jesus Mari J, Miguel E, Gadelha A, Rohde L, Evans-Lacko S, Salum G, Hoffmann M. Longitudinal associations between positive attributes and psychopathology and their interactive effects on educational outcomes. European Child & Adolescent Psychiatry 2021, 32: 463-474. PMID: 34559317, DOI: 10.1007/s00787-021-01882-8.Peer-Reviewed Original ResearchConceptsEducational outcomesSchool dropoutCross-lagged panel modelBetter educational outcomesLow literacy abilityPositive attributesLiteracy abilitiesLongitudinal impactGeneral factorDropoutConduct symptomsSchoolingLiteracyLearningConduct problemsYouthConstructsOutcomesPanel modelLongitudinal associationsAttributesPredictors of gaming disorder in children and adolescents: a school-based study
Ferreira F, Bambini B, Tonsig G, Fonseca L, Picon F, Pan P, Salum G, Jackowski A, Miguel E, Rohde L, Bressan R, Gadelha A. Predictors of gaming disorder in children and adolescents: a school-based study. Brazilian Journal Of Psychiatry 2021, 43: 289-292. PMID: 32756806, PMCID: PMC8136393, DOI: 10.1590/1516-4446-2020-0964.Peer-Reviewed Original ResearchConceptsMental disordersWell-Being Behavior AssessmentHigh-risk cohortLogistic regression modelsSchool-based studyGaming disorderPsychiatric disordersUnhealthy patternsDisorder ratesSchool-based sampleDisordersSignificant predictorsFurther riskBrazilian High-Risk CohortCommunity sampleHigh rateBehavior changeMore hoursRegression modelsChildrenPredictorsAdolescentsHoursBehavior assessmentPattern variables
2018
Early vulnerabilities for psychiatric disorders in elementary schoolchildren from four Brazilian regions
Paula C, Mari J, Bordin I, Miguel E, Fortes I, Barroso N, Rohde L, Coutinho E. Early vulnerabilities for psychiatric disorders in elementary schoolchildren from four Brazilian regions. Social Psychiatry And Psychiatric Epidemiology 2018, 53: 477-486. PMID: 29511791, DOI: 10.1007/s00127-018-1503-4.Peer-Reviewed Original Research
2016
Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis
Salum G, DeSousa D, Manfro G, Pan P, Gadelha A, Brietzke E, Miguel E, Mari J, do Rosário M, Grassi-Oliveira R. Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis. Trends In Psychiatry And Psychotherapy 2016, 38: 23-32. PMID: 27007940, DOI: 10.1590/2237-6089-2015-0036.Peer-Reviewed Original ResearchConceptsConfirmatory factor analysisChild maltreatmentOppositional defiant disorder/conduct disorderAttention deficit hyperactivity disorderHigher-order confirmatory factor analysisMulti-informant approachDeficit hyperactivity disorderLower-order factorsLarge community sampleMulti-informant survey dataHigher-order factorsFactor analysisMeasures of psychopathologyTeacher-reported scoresOverall child maltreatmentFear disordersProsocial measuresHyperactivity disorderBrief measureDistress disordersCommunity sampleConduct disorderEmotional abuseDivergent validitySexual abuse
2015
Positive Attributes Buffer the Negative Associations Between Low Intelligence and High Psychopathology With Educational Outcomes
Hoffmann M, Leibenluft E, Stringaris A, Laporte P, Pan P, Gadelha A, Manfro G, Miguel E, Rohde L, Salum G. Positive Attributes Buffer the Negative Associations Between Low Intelligence and High Psychopathology With Educational Outcomes. Journal Of The American Academy Of Child & Adolescent Psychiatry 2015, 55: 47-53. PMID: 26703909, PMCID: PMC4695393, DOI: 10.1016/j.jaac.2015.10.013.Peer-Reviewed Original ResearchConceptsNegative educational outcomesConfirmatory factor analysisEducational outcomesPoor academic performanceLow intelligenceHigher psychopathologyAcademic performancePositive attributesNegative school outcomesPsychiatric symptomsHigher psychiatric symptomsDistinct constructsSchool outcomesEducational problemsCommunity sampleDiscriminant validityPsychopathologyNegative effectsFactor analysisIntelligenceMain effectEquation modelNegative associationAttribute changesLow levels
2014
A randomised controlled trial of a web-based educational program in child mental health for schoolteachers
Pereira C, Wen C, Miguel E, Polanczyk G. A randomised controlled trial of a web-based educational program in child mental health for schoolteachers. European Child & Adolescent Psychiatry 2014, 24: 931-940. PMID: 25395381, DOI: 10.1007/s00787-014-0642-8.Peer-Reviewed Original ResearchConceptsWaiting-list control groupMental disordersChild mental healthControl groupWeb-based programMental healthChild mental disordersWaiting list groupProgram interventionsWeb-based educational programMiddle-income countriesTreat approachIntervention groupDisordersEducational programsInterventionVideo groupTrialsCommunity resourcesFuture studiesGroupComplete casesHealthWeeks