Publications by authors named "Caye A"

Article Synopsis
  • * Researchers analyzed data from 2,511 children and adolescents in Brazil, comparing ADHD biomarkers like polygenic scores, subcortical volumes, and executive function among different risk groups.
  • * Findings showed that a risk-informed approach significantly highlighted differences in biomarkers, suggesting this method could improve evaluations for ADHD and potentially other mental disorders.
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There exists substantial heterogeneity in the developmental trajectories of ADHD symptoms, with distinctions often made between persistent versus remittent, and early- versus late-onset. However, how these trajectories relate to late adolescent functioning and whether, in particular, later onset trajectories mark a milder subtype remains unclear. Building on earlier work that has examined early life predictors of ADHD symptom trajectories up to age 14, we applied latent class growth analysis to data from the UK Millennium Cohort Study (N = 10,262) to evaluate whether developmental trajectories of ADHD symptoms up to age 17 (from age 3) were similar to those identified up to age 14 and associated with differing levels of impairment in peer victimisation, mental health, substance use, and delinquency outcomes at age 17.

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This is the second part of the Brazilian S20 mental health report. The mental health working group is dedicated to leveraging scientific insights to foster innovation and propose actionable recommendations for implementation in Brazil and participating countries. In addressing the heightened mental health challenges in a post-pandemic world, strategies should encompass several key elements.

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Article Synopsis
  • * Out of 7764 records reviewed, 100 models were included, primarily for diagnosis, with most showing high risk of bias and none currently implemented in clinical settings.
  • * The study found that models incorporating clinical predictors had better performance, suggesting future research should address the limitations and aim for practical applications in treatment and outcome prediction.
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Article Synopsis
  • * In 2022/2023, extensive community-based research was conducted, gathering insights from 1,756 caregivers, 1,201 youth, 404 teachers, and 475 health professionals through surveys and focus groups.
  • * The resulting dataset, which includes quantitative and qualitative findings, is publicly available and aims to guide future research and training in mental health, potentially serving as a model for similar initiatives in other countries.
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Background: In the context of Greece, many instruments measuring constructs pertinent to child and adolescent mental health lacked a locally-validated, freely-available version. As part of a nationwide survey, we translated and cross-culturally adapted a collection of seventeen brief, largely-employed assessment tools that can be used at scale.

Methods: This study is part of the Child and Adolescent Mental Health Initiative in Greece (CAMHI), a capacity-building program focusing on enhancing mental health care for children and adolescents living in Greece.

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Importance: The period from childhood to early adulthood involves increased susceptibility to the onset of mental disorders, with implications for policy making that may be better appreciated by disaggregated analyses of narrow age groups.

Objective: To estimate the global prevalence and years lived with disability (YLDs) associated with mental disorders and substance use disorders (SUDs) across 4 age groups using data from the 2019 Global Burden of Disease (GBD) study.

Design, Setting, And Participants: Data from the 2019 GBD study were used for analysis of mental disorders and SUDs.

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Objective: To evaluate the prevalence of attention-deficit/hyperactivity disorder (ADHD), comorbidity rates with disruptive behavior disorders and main negative outcomes in primary school students in Nampula, Mozambique.

Methods: We selected a random sample of 748 students for ADHD screening from a population of around 43,000 primary school students. The Swanson, Nolan, and Pelham Rating Scale version IV was applied to both parents and teachers.

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Objective: To explore the ADHD diagnostic performance of a screening instrument, and which DSM-5 ADHD number of symptoms (criterion A) was best associated with impairment in a sample of students from 106 primary schools in Nampula, Mozambique.

Methods: A random sample of 748 students were assessed using SNAP-IV and 152 youths (76 positive and 76 negative screeners) were invited for psychiatric diagnostic confirmation.

Results: The performance of the screening instrument for predicting ADHD diagnosis was poor (all AUCs < 0.

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Evidence-based information is essential for effective mental health care, yet the extent and accessibility of the scientific literature are critical barriers for professionals and policymakers. To map the necessities and make validated resources accessible, we undertook a systematic review of scientific evidence on child and adolescent mental health in Greece encompassing three research topics: prevalence estimates, assessment instruments, and interventions. We searched Pubmed, Web of Science, PsycINFO, Google Scholar, and IATPOTEK from inception to December 16th, 2021.

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Objective: To identify under what circumstances a university student should be allowed academic accommodation for ADHD. To frame an evidence-based policy for use in Brazil based on a worldwide experience.

Methods: We reviewed the literature to acquire information on what documents are commonly required by disability services before accommodation for ADHD is made (including malingering detection).

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Objective: 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.

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Gene-environment interactions (GxE) have been increasingly explored in psychiatry but with low replication rates. Attention-deficit/hyperactivity disorder (ADHD) is a suitable candidate for studying GxE due to its high heritability and well-defined environmental risk factors. Here, we explored GxE using polygenic risk score (PRS) to represent the genetic liability to ADHD (ADHD-PRS) and environmental risk score (ERS) to represent the combined effects of environmental risk factors.

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Neuroimaging studies suggest that brain development mechanisms might explain at least some behavioural and cognitive attention-deficit/hyperactivity disorder (ADHD) symptoms. However, the putative mechanisms by which genetic susceptibility factors influence clinical features via alterations of brain development remain largely unknown. Here, we set out to integrate genomics and connectomics tools by investigating the associations between an ADHD polygenic risk score (ADHD-PRS) and functional segregation of large-scale brain networks.

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Article Synopsis
  • ADHD can persist into older age and may increase the risk for cognitive decline and Alzheimer's Disease (AD), but research has been limited due to biased data sources.
  • This study examined the link between genetic risk for ADHD and cognitive decline in cognitively unimpaired older adults across six years, using a well-established ADHD polygenic risk score (ADHD-PRS) in 212 participants aged 55-90.
  • The findings indicated that higher ADHD-PRS is associated with greater cognitive decline and AD-related changes, particularly in individuals with amyloid-β deposition, suggesting that ADHD genetic risk contributes to vulnerability to AD pathology.
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The Identifying Depression Early in Adolescence Risk Score (IDEA-RS) has been externally assessed in samples from four continents, but North America is lacking. Our aim here was to evaluate the performance of the IDEA-RS in predicting future onset of Major Depressive Disorder (MDD) in an adolescent population-based sample in the United States of America - the Great Smoky Mountains Study (GSMS). We applied the intercept and weights of the original IDEA-RS model developed in Brazil to generate individual probabilities for each participant of the GSMS at age 15 (N = 1029).

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Background: Very few predictive models in Psychiatry had their performance validated in independent external samples. A previously developed multivariable demographic model for attention-deficit/hyperactivity disorder (ADHD) accurately predicted young adulthood ADHD using clinical and demographical information collected in childhood in three samples from developed countries, but failed to replicate its performance in a sample from a developing country. Furthermore, consolidated risk factors for ADHD were not included among its predictors.

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Attention-Deficit Hyperactivity Disorder (ADHD) is a complex and heterogeneous neurodevelopmental condition for which curative treatments are lacking. Whilst pharmacological treatments are generally effective and safe, there is considerable inter-individual variability among patients regarding treatment response, required dose, and tolerability. Many of the non-pharmacological treatments, which are preferred to drug-treatment by some patients, either lack efficacy for core symptoms or are associated with small effect sizes.

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Purpose Of Review: The world's population is increasingly urban, with most children and young people growing up and living in cities. Evidence suggests that urbanicity is linked to an increased risk for the development of mental health disorders. Rather than an accumulation of risk factors, urbanization is a complex process that profoundly structures living conditions.

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Study Objectives: Major depressive disorder (MDD) in adolescence is associated with irregularities in circadian rhythms and sleep. The characterization of such impairment may be critical to design effective interventions to prevent development of depression among adolescents. This study aimed to examine self-reported and actimetry-based circadian rhythms and sleep-wake behavior associated with current MDD and high risk (HR) for MDD among adolescents.

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Background: Trajectories of attention-deficit hyperactivity disorder (ADHD) traits spanning early childhood to mid-life have not been described in general populations across different geographical contexts. Population trajectories are crucial to better understanding typical developmental patterns.

Methods: We combined repeated assessments of ADHD traits from five population-based cohorts, spanning ages 3 to 45 years.

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Attention-Deficit Hyperactivity Disorder (ADHD) is a prevalent neuropsychiatric disorder associated with significant impairment and distress throughout the lifespan. Recent investigations have shed light on different aspects regarding the trajectory of ADHD, including reports on risk factors in childhood, that are associated with remission or persistence in adulthood. Despite significant advances in our understanding of the pathophysiology of the disorder, the diagnosis of ADHD remains strictly clinical and is based on behavioral symptoms of inattention, impulsivity, and hyperactivity.

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