Longitudinal profile of post-traumatic symptoms in HealthCare Workers during COVID-19 pandemic: A latent transition model.

Introduction: Pandemics have the potential to be considered traumatic event, increasing the risk of developing post-traumatic stress symptoms (PTSS) in HealthCare Workers (HCW). However, few longitudinal studies have evaluated the impact of prolonged exposure to the risk imposed by COVID-19. Our aim was to identify subgroups of HCW with profiles of PTSS, how this profile changed during the pandemic and which variables were related to these changes.

Decision-making styles during stressful scenarios: The role of anxiety in COVID-19 pandemic.

Introduction: Decision-making is not purely rational but highlighted by the influence of intuitive and emotional processes. Recently, researchers have focused more attention on understanding which environmental and personal features influence decision-making processes, and how.

Objective And Methods: On this study, we investigate whether Trait Anxiety moderates the impact of Post-Traumatic Stress (PTS) symptoms reported during COVID-19 pandemic on decision-making styles.

Impacts of mental health in the sleep pattern of healthcare professionals during the COVID-19 pandemic in Brazil.

Background: After >2 years of the Coronavirus Disease-19 (COVID-19) pandemic, it is well established how sleep symptoms are rising, especially among healthcare workers (HCW). The aim of this study is to evaluate what features are associated with sleep disturbances in the HCW population.

Methods: Cross-sectional and longitudinal analysis of social and clinical variables associated with sleep problems and insomnia incidence in HCW in a large, national-level cohort.

Longitudinal invariance and validity of the Impact of Event Scale-Revised under COVID-19 pandemic in a Brazilian sample.

Although the Impact Event Scale-Revised is widely used, its factor structure is still controversial. In addition, its longitudinal measurement invariance (LMI) remains uninvestigated. In this sense, we carried out three studies to investigate its psychometric properties.

Quality of Life of Health Care Professionals in Pandemic Times.

Objective: Our objective is to provide a descriptive analysis of the quality of life among a large sample of health professionals in the early days of the pandemic.

Method: We surveyed in the first months of the pandemics with the logistical support of the Health ministry in Brazil reaching more than 200,000 varied health professionals, with quality-of-life data, assessed using the WHOQOL-BREF, available to 97,379. We segregated the professionals by their reported field of work.

Increased risk of health professionals to feel traumatized during the COVID-19 pandemic.

Health professionals may be a vulnerable group to posttraumatic stress symptoms (PTSS) during the Coronavirus disease 2019 (COVID-19) pandemic. To investigate how health professionals who experienced a traumatic event are expressing PTSS and factors related to risk for higher PTSS symptomatology can inform how health professionals are facing their role in this crisis. This was an Internet cross-sectional survey.

Psychometric properties of the Brief Symptom Inventory support the hypothesis of a general psychopathological factor.

Introduction: The existence of a general factor related to psychiatric symptoms is supported by studies using a variety of methods in both clinical and non-clinical samples.

Objectives: This study aims to evaluate the replicability of the internal structure of the Brief Symptom Inventory in a large Brazilian sample.

Methods: Participants were 6,427 Brazilian subjects (81% female).

Temporal Reward Discounting in Children with Attention Deficit/Hyperactivity Disorder (ADHD), and Children with Autism Spectrum Disorder (ASD): A Systematic Review.

Children with ADHD and ASD may present differences in the affective-motivational processes. We systematically review the literature regarding temporal discounting in children up to 12 years with ADHD and ASD. Six articles were included, five studies with ADHD children (n = 231), one with ASD children (n = 21), all including typically developing children as controls (n = 210).

Use of machine learning to predict cognitive performance based on brain metabolism in Neurofibromatosis type 1.

Neurofibromatosis Type 1 (NF1) can cause a wide range of cognitive deficits, but its underlying nature is still unknown. We investigated the correlation between cognitive performance and specific patterns of resting-state brain metabolism in a NF1 sample. Sixteen individuals diagnosed with NF1 underwent 18F-FDG PET/CT brain imaging followed by a neuropsychological assessment.

Neurofibromatoses: part 1 - diagnosis and differential diagnosis.

Neurofibromatoses (NF) are a group of genetic multiple tumor growing predisposition diseases: neurofibromatosis type 1 (NF1), neurofibromatosis type 2 (NF2) and schwannomatosis (SCH), which have in common the neural origin of tumors and cutaneous signs. They affect nearly 80 thousand of Brazilians. In recent years, the increased scientific knowledge on NF has allowed better clinical management and reduced complication morbidity, resulting in higher quality of life for NF patients.

Association between the Catechol O-methyltransferase (COMT) Val158met polymorphism and different dimensions of impulsivity.

Background: Impulsivity is a multidimensional construct which has been associated with dopaminergic neurotransmission. Nonetheless, until this moment, few studies addressed the relationship between different types of impulsivity and the single nucleotide polymorphism caused by a substitution of valine (val) with methionine (met) in the 158 codon of the Catechol-o-Methyltransferase gene (COMT-val158met). The present study aimed to investigate the association between val158met COMT polymorphism and impulsive behavior measured by two neuropsychological tests.