EURIPEDES CONSTANTINO MIGUEL FILHO
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Psiquiatria, Faculdade de Medicina - Docente
LIM/23 - Laboratório de Psicopatologia e Terapêutica Psiquiátrica, Hospital das Clínicas, Faculdade de Medicina - Líder
LIM/23 - Laboratório de Psicopatologia e Terapêutica Psiquiátrica, Hospital das Clínicas, Faculdade de Medicina - Líder
12 resultados
Resultados de Busca
Agora exibindo 1 - 10 de 12
- Population neuroscience: challenges and opportunities for psychiatric research in low- and middle-income countries(2020) CIRILLO, Alessandra; DINIZ, Elton; GADELHA, Ary; ASEVEDO, Elson; AXELRUD, Luiza K.; MIGUEL, Euripedes C.; ROHDE, Luis Augusto; BRESSAN, Rodrigo A.; PAN, Pedro; MARI, Jair de J.Objective: Population neuroscience is an emerging field that combines epidemiology and neuroscience to study how genes and the environment shape typical and atypical brain functioning. The objective of this study was to review key studies on population neuroscience from low- and middle-income countries (LMICs) and to identify potential gaps vis-a-vis studies conducted in high-income countries. Methods: We conducted a systematic review to search for longitudinal cohort studies investigating the development of psychiatric disorders in children and adolescents in LMICs. We performed an electronic search in the EMBASE and MEDLINE databases from inception to July 5th, 2019. Results: We found six cohorts from four countries that met our search criteria: three cohorts from Brazil, one from China, one from South Africa, and one from Mauritius. Relevant examples of findings from these studies are reported. Conclusion: Our results demonstrate the impact of the valuable science output these cohort designs promote, allowing LMICs to have a share in frontline global psychiatry research. National and international funding agencies should invest in LMIC population neuroscience in order to promote replication and generalization of research from high-income countries.
- Predictors of gaming disorder in children and adolescents: a school-based study(2021) FERREIRA, Felipe de M.; BAMBINI, Beatriz B.; TONSIG, Gabriela K.; FONSECA, Lais; PICON, Felipe A.; PAN, Pedro M.; SALUM, Giovanni A.; JACKOWSKI, Andrea; MIGUEL, Euripedes C.; ROHDE, Luis A.; BRESSAN, Rodrigo A.; GADELHA, AryObjective: To determine whether psychiatric and gaming pattern variables are associated with gaming disorder in a school-based sample. Methods: We analyzed data from the Brazilian High-Risk Cohort for Psychiatric Disorders, a community sample aged 10 to 18, using questionnaires on gaming use patterns. We applied the Gaming Addiction Scale to diagnose gaming disorder and the Development and Well-Being Behavior Assessment for other diagnoses. Results: Out of 407 subjects, 83 (20.4%) fulfilled the criteria for gaming disorder. More role-playing game players were diagnosed with gaming disorder that any other genre. Gaming disorder rates increased proportionally to the number of genres played. Playing online, being diagnosed with a mental disorder, and more hours of non-stop gaming were associated with higher rates of gaming disorder. When all variables (including age and gender) were considered in a logistic regression model, the number of genres played, the number of non-stop hours, the proportion of online games, and having a diagnosed mental disorder emerged as significant predictors of gaming disorder. Conclusion: Each variable seems to add further risk of gaming disorder among children and adolescents. Monitoring the length of gaming sessions, the number and type of genres played, time spent gaming online, and behavior changes may help parents or guardians identify unhealthy patterns of gaming behavior.
- Factor structure of the Dimensional Yale-Brown Obsessive-Compulsive Scale in a large sample of adults with obsessive-compulsive disorder(2022) BATISTUZZO, Marcelo C.; FONTENELLE, Leonardo; FERRAO, Ygor A.; ROSARIO, Maria C.; MIGUEL, Euripedes C.; FATORI, DanielObjectives: Although the Dimensional Yale-Brown Obsessive-Compulsive Scale (DY-BOCS) is a widely used instrument for assessing different obsessive-compulsive symptom dimensions, its factor structure has never been studied in a Brazilian population. Thus, we aimed to assess the goodness-of fit indexes and factor loadings of two higher-order models of the DY-BOCS using confirmatory factor analysis (CFA) in a large obsessive-compulsive disorder (OCD) sample. Methods: We tested two CFA models in a sample of 955 adults with OCD who had been assessed with the DY-BOCS in a cross-sectional multi-site study. The first model encompassed the symptom checklist (present or absent), whereas the second focused on items related to severity scores. Results: Both models presented adequate goodness-of-fit indexes. The comparative fit index, Tucker Lewis index, and omega were 4 0.9, while the root mean square error of approximation was p 0.06 for both models. Factor loadings for each item of each dimension are presented and discussed. Conclusion: Higher-order factor models showed adequate goodness-of-fit indexes, indicating that they appropriately measured OCD dimensions in this Brazilian population.
- Double cone coil repetitive transcranial magnetic stimulation for severe obsessive-compulsive disorder after reversible cerebral vasoconstriction syndrome with intracerebral hemorrhage: a case report(2022) SILVEIRA, Julia Belizario; DAMIANO, Rodolfo Furlan; NETO, Emilio Abelama; GOMES, Raphael Neves dos Santos Mosqueira; KLEIN, Izio; BORRIONE, Lucas; SUDBRACK, Pedro; GENTIL, Andre Felix; SHEPHARD, Elizabeth; BRUNONI, Andre Russowski; MIGUEL, Euripedes Constantino; ECHEVARRIA, Marco Antonio Nocito
- Mental health interventions following COVID-19 and other coronavirus infections: a systematic review of current recommendations and meta-analysis of randomized controlled trials(2021) DAMIANO, Rodolfo F.; SANTI, Talita Di; BEACH, Scott; PAN, Pedro M.; LUCCHETTI, Alessandra L.; SMITH, Felicia A.; FORLENZA, Orestes V.; FRICCHIONE, Gregory L.; MIGUEL, Euripedes C.; LUCCHETTI, GiancarloObjective: To review the most common mental health strategies aimed at alleviating and/or preventing mental health problems in individuals during the coronavirus disease 2019 (COVID-19) and other coronavirus pandemics. Methods: We conducted a systematic review of the literature assessing three databases (PubMed, SCOPUS, and PsycINFO). A meta-analysis was performed with data from randomized controlled trials (RCTs). For non-RCT studies, a critical description of recommendations was performed. Results: From a total of 2,825 articles, 125 were included. Of those, three RCTs were included in the meta-analysis. The meta-analysis revealed that the interventions promoted better overall mental health outcomes as compared to control groups (standardized mean difference [SMD] = 0.87 [95%CI 0.33-1.41], p o 0.001, I2 = 69.2%), but did not specifically improve anxiety (SMD = 0.98 [95%CI -0.17 to 2.13], p 4 0.05; I2 = 36.8%). Concerning the systematic review, we found a large body of scientific literature proposing recommendations involving psychological/psychiatric interventions, self-care, education, governmental programs, and the use of technology and media. Conclusions: We found a large body of expert recommendations that may help health practitioners, institutional and governmental leaders, and the general population cope with mental health issues during a pandemic or a crisis period. However, most articles had a low level of evidence, stressing the need for more studies with better design (especially RCTs) investigating potential mental health interventions during COVID-19.
- Neurocircuit models of obsessive-compulsive disorder: limitations and future directions for research(2022) SHEPHARD, Elizabeth; BATISTUZZO, Marcelo C.; HOEXTER, Marcelo Q.; STERN, Emily R.; ZUCCOLO, Pedro F.; OGAWA, Carolina Y.; SILVA, Renata M.; BRUNONI, Andre R.; COSTA, Daniel L.; DORETTO, Victoria; SARAIVA, Leonardo; CAPPI, Carolina; SHAVITT, Roseli G.; SIMPSON, H. Blair; HEUVEL, Odile A. van den; MIGUEL, Euripedes C.Obsessive-compulsive disorder (OCD) is a common psychiatric condition classically characterized by obsessions (recurrent, intrusive and unwanted thoughts) and compulsions (excessive, repetitive and ritualistic behaviors or mental acts). OCD is heterogeneous in its clinical presentation and not all patients respond to first-line treatments. Several neurocircuit models of OCD have been proposed with the aim of providing a better understanding of the neural and cognitive mechanisms involved in the disorder. These models use advances in neuroscience and findings from neuropsychological and neuroimaging studies to suggest links between clinical profiles that reflect the symptoms and experiences of patients and dysfunctions in specific neurocircuits. Several models propose that treatments for OCD could be improved if directed to specific neurocircuit dysfunctions, thereby restoring efficient neurocognitive function and ameliorating the symptomatology of each associated clinical profile. Yet, there are several important limitations to neurocircuit models of OCD. The purpose of the current review is to highlight some of these limitations, including issues related to the complexity of brain and cognitive function, the clinical presentation and course of OCD, etiological factors, and treatment methods proposed by the models. We also provide suggestions for future research to advance neurocircuit models of OCD and facilitate translation to clinical application.
- Translating measurement into practice: Brazilian norms for depressive symptom assessment with the Patient Health Questionnaire (PHQ-9)(2023) DAMIANO, Rodolfo Furlan; HOFFMANN, Mauricio Scopel; GOSMANN, Natan Pereira; PAN, Pedro Mario; MIGUEL, Euripedes Constantino; SALUM, Giovanni AbrahaoObjectives: To provide practical norms for measuring depressive symptoms with the Patient Health Questionnaire 9 (PHQ-9) in Brazil through a state-of-the-art psychometrics analysis.Methods: We used a large representative dataset from the 2019 Brazilian National Health Survey (Pesquisa Nacional de Saude - 2019), which included 90,846 Brazilian citizens. To assess scale structure, we assessed a unidimensional model using confirmatory factor analysis. Item response theory was used to characterize the distribution of depressive symptoms. Summed- and mean-based PHQ-9 scores were then linked using item response theory-based scores in generalized additive models. Finally, percentiles, T scores, and a newly developed score, called the decimal score (D score), were generated to describe PHQ-9 norms for the Brazilian population.Results: C onfirmatory factor analysis revealed a good fit to the unidimensional model, being invariant to age and sex. Item response theory captured item-level information about the latent trait (reliable from 1 to 3 SDs above the mean). Brazilian norms were presented using summed scores, T scores, and D scores.Conclusion: This is the first study to determine Brazilian norms for the PHQ-9 among a large representative sample using robust psychometric tools. More precise PHQ-9 scores are now available and may be widely used in primary and specialized clinical care settings.
- Inattention symptoms in early pregnancy predict parenting skills and infant maltreatment during the first year of life(2022) OLIVEIRA, Jordana Verano de; FATORI, Daniel; SHEPHARD, Elizabeth; NETO, Mauro Xavier; MATIJASEVICH, Alicia; FERRARO, Alexandre Archanjo; ROHDE, Luis Augusto; CHIESA, Anna Maria; MIGUEL, Euripedes Constantino; POLANCZYK, Guilherme V.Objective: Maternal attention-deficit/hyperactivity disorder has not been investigated in relation to parent-ing skills in adolescent mothers. This study investigated whether maternal inattention and hyperactivity/ impulsivity symptoms early in pregnancy predict poorer parenting skills and infant maltreatment during the first year of life in adolescent mothers living in adverse environmental conditions.Methods: The participants in this study were 80 adolescent mothers aged 14-19 years and their babies who were taking part in a randomized controlled trial on the effects of a home-visiting program on infant development. Symptoms of maternal attention-deficit/hyperactivity disorder were assessed in the first trimester of pregnancy. Parenting skills (maternal competence, attachment to the baby, home environment) and child maltreatment were assessed when the infants were aged 6 and 12 months. Multilevel linear regression models were constructed to test the extent to which prenatal maternal inattention and hyperactivity/impulsivity symptoms predicted these parenting variables during the first year of the infant's life.Results: Prenatal inattention symptoms significantly predicted lower maternal competence and attachment, a poorer home environment, and greater maltreatment during the first year of life. Hyperactivity did not significantly predict parenting skills or maltreatment.Conclusions: Our findings suggest that inattention symptoms may interfere with parenting abilities in adolescent mothers and should be considered in early intervention programs.
- Not only pharmacodynamic: the role of brain circuits in improving the treatment of suicidal thoughts and behaviors(2022) DAMIANO, Rodolfo Furlan; MIGUEL, Euripedes Constantino; SHEPHARD, Elizabeth; MADEIRA, Nuno
- Identifying Depression Early in Adolescence: assessing the performance of a risk score for future onset of depression in an independent Brazilian sample(2023) CUNHA, Graccielle R.; CAYE, Arthur; PAN, Pedro; FISHER, Helen L.; PEREIRA, Rivka; ZIEBOLD, Carolina; BRESSAN, Rodrigo; MIGUEL, Euripedes Constantino; SALUM, Giovanni A.; ROHDE, Luis Augusto; KOHRT, Brandon A.; MONDELLI, Valeria; KIELING, Christian; GADELHA, AryObjective: The Identifying Depression Early in Adolescence Risk Score (IDEA-RS) was recently developed in Brazil using data from the Pelotas 1993 Birth Cohort to estimate the individualized probability of developing depression in adolescence. This model includes 11 sociodemographic variables and has been assessed in longitudinal studies from four other countries. We aimed to test the performance of IDEA-RS in an independent, community-based, school-attending sample within the same country: the Brazilian High-Risk Cohort.Methods: Standard external validation, refitted, and case mix-corrected models were used to predict depression among 1442 youth followed from a mean age of 13.5 years at baseline to 17.7 years at follow-up, using probabilities calculated with IDEA-RS coefficients.Results: The area under the curve was 0.65 for standard external validation, 0.70 for the case mixcorrected model, and 0.69 for the refitted model, with discrimination consistently above chance for predicting depression in the new dataset. There was some degree of miscalibration, corrected by model refitting (calibration-in-the-large reduced from 0.77 to 0).Conclusion: IDEA-RS was able to parse individuals with higher or lower probability of developing depression beyond chance in an independent Brazilian sample. Further steps should include model improvements and additional studies in populations with high levels of subclinical symptoms to improve clinical decision making.