How much or how often? Examining the screening properties of the DSM cross-cutting symptom measure in a youth population-based sample.

BACKGROUND: The DSM Level 1 Cross-Cutting Symptom Measure (DSM-XC) allows for assessing multiple psychopathological domains. However, its capability to screen for mental disorders in a population-based sample and the impact of adverbial framings (intensity and frequency) on its performance are unknown. METHODS: The study was based on cross-sectional data from the 1993 Pelotas birth cohort in Brazil. Participants with completed DSM-XC and structured diagnostic interviews (n = 3578, aged 22, 53.6% females) were included. Sensitivity, specificity, positive (LR+), and negative (LR-) likelihood ratios for each of the 13 DSM-XC domains were estimated for detecting five internalizing disorders (bipolar, generalized anxiety, major depressive, post-traumatic stress, and social anxiety disorders) and three externalizing disorders (antisocial personality, attention-deficit/hyperactivity, and alcohol use disorders). Sensitivities and specificities >0.75, LR+ > 2 and LR- < 0.5 were considered meaningful. Values were calculated for the DSM-XC's original scoring and for adverbial framings. RESULTS: Several DSM-XC domains demonstrated meaningful screening properties. The anxiety domain exhibited acceptable sensitivity and LR- values for all internalizing disorders. The suicidal ideation, psychosis, memory, repetitive thoughts and behaviors, and dissociation domains displayed acceptable specificity for all disorders. Domains also yielded small but meaningful LR+ values for internalizing disorders. However, LR+ and LR- values were not generally meaningful for externalizing disorders. Frequency-framed questions improved screening properties. CONCLUSIONS: The DSM-XC domains showed transdiagnostic screening properties, providing small but meaningful changes in the likelihood of internalizing disorders in the community, which can be improved by asking frequency of symptoms compared to intensity. The DSM-XC is currently lacking meaningful domains for externalizing disorders.

Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data.

BACKGROUND: Pooling data from different sources will advance mental health research by providing larger sample sizes and allowing cross-study comparisons; however, the heterogeneity in how variables are measured across studies poses a challenge to this process. METHODS: This study explored the potential of using natural language processing (NLP) to harmonise different mental health questionnaires by matching individual questions based on their semantic content. Using the Sentence-BERT model, we calculated the semantic similarity (cosine index) between 741 pairs of questions from five questionnaires. Drawing on data from a representative UK sample of adults (N = 2,058), we calculated a Spearman rank correlation for each of the same pairs of items, and then estimated the correlation between the cosine values and Spearman coefficients. We also used network analysis to explore the model's ability to uncover structures within the data and metadata. RESULTS: We found a moderate overall correlation (r = .48, p < .001) between the two indices. In a holdout sample, the cosine scores predicted the real-world correlations with a small degree of error (MAE = 0.05, MedAE = 0.04, RMSE = 0.064) suggesting the utility of NLP in identifying similar items for cross-study data pooling. Our NLP model could detect more complex patterns in our data, however it required manual rules to decide which edges to include in the network. CONCLUSIONS: This research shows that it is possible to quantify the semantic similarity between pairs of questionnaire items from their meta-data, and these similarity indices correlate with how participants would answer the same two items. This highlights the potential of NLP to facilitate cross-study data pooling in mental health research. Nevertheless, researchers are cautioned to verify the psychometric equivalence of matched items.

Perinatal and neonatal factors and mental disorders in children and adolescents: looking for the contributions of the early environment to common and dissociable aspects of psychopathology.

High rates of co-occurrence of mental disorders have been hypothesized to represent a result of common susceptibility to overall psychopathology. The purpose of this study is to test the hypothesis that commonalities among psychiatric disorders might be partially driven by sharable perinatal and neonatal environmental factors for mental disorders. Participants were 6-14 years of age children and their parents. Primary caregivers provided data on perinatal and neonatal information assessed retrospectively (n = 2231). Psychiatric disorders diagnoses were assessed using the Development and Well Being Behavior Assessment (DAWBA). We used bifactor models to disentangle common from dissociable aspects of psychopathology. These models allow modeling psychiatric disorders as the result of a common domain of psychopathology (p-factor) and three dissociable domains (fear, distress, and externalizing symptoms). Associations were tested using linear and tobit regression models. The p-factor was associated with male sex, low socioeconomic status, gestational smoking, gestational drinking, low levels of maternal education and presence of mental disorder in the mother. Associations with specific factors also emerged suggesting some risk factors might also have some role for fear, distress and externalizing factors. Our study supports the hypothesis that overall susceptibility to psychopathology might be partially driven by sharable perinatal and neonatal factors.

Deviations from a typical development of the cerebellum in youth are associated with psychopathology, executive functions and educational outcomes.

BACKGROUND: Understanding deviations from typical brain development is a promising approach to comprehend pathophysiology in childhood and adolescence. We investigated if cerebellar volumes different than expected for age and sex could predict psychopathology, executive functions and academic achievement. METHODS: Children and adolescents aged 6-17 years from the Brazilian High-Risk Cohort Study for Mental Conditions had their cerebellar volume estimated using Multiple Automatically Generated Templates from T1-weighted images at baseline (n = 677) and at 3-year follow-up (n = 447). Outcomes were assessed using the Child Behavior Checklist and standardized measures of executive functions and school achievement. Models of typically developing cerebellum were based on a subsample not exposed to risk factors and without mental-health conditions (n = 216). Deviations from this model were constructed for the remaining individuals (n = 461) and standardized variation from age and sex trajectory model was used to predict outcomes in cross-sectional, longitudinal and mediation analyses. RESULTS: Cerebellar volumes higher than expected for age and sex were associated with lower externalizing specific factor and higher executive functions. In a longitudinal analysis, deviations from typical development at baseline predicted inhibitory control at follow-up, and cerebellar deviation changes from baseline to follow-up predicted changes in reading and writing abilities. The association between deviations in cerebellar volume and academic achievement was mediated by inhibitory control. CONCLUSIONS: Deviations in the cerebellar typical development are associated with outcomes in youth that have long-lasting consequences. This study highlights both the potential of typical developing models and the important role of the cerebellum in mental health, cognition and education.

Parent- and teacher-reported associations from adolescent bifactor models of psychopathology: an outcome-wide association study of 26 outcomes in mid-life.

BACKGROUND: Adolescent mental health problems have lasting impacts on health and social functioning later in life. Evidence to date mostly comes from studies of specific diagnostic categories/dimensions, but hierarchical models can elucidate associations with general as well as specific dimensions of psychopathology. We provide evidence on long-term outcomes of general and specific dimensions of adolescent psychopathology using both parent and teacher reports. METHODS: Parents and teachers from the Isle of Wight study completed Rutter behaviour scales when participants were 14-15 years old (n = 2,275), assessing conduct, emotional and hyperactivity problems. Metric-invariant bifactor models for parents and teachers were used to test domain-specific and domain-general associations with 26 self-reported psychosocial outcomes at mid-life (age 44-45 years, n = 1,423). Analyses examined the individual and joint contributions of parent and teacher reports of adolescent psychopathology. All analyses were adjusted for covariates (gender, IQ and family social class) and weighted to adjust for the probability of nonresponse. RESULTS: Parent- and teacher-reported general factors of psychopathology (GFP) were associated with 15 and 12 outcomes, respectively, across the socioeconomic, relationship, health and personality domains, along with an index of social exclusion. Nine outcomes were associated with both parent- and teacher-reported GFP, with no differences in the strength of the associations across reporters. Teacher-reported specific factors (conduct, emotional and hyperactivity) were associated with 21 outcomes, and parent-reported specific factors were associated with seven. Five outcomes were associated with the same specific factors from both reporters; only one showed reporter differences in the strength of the associations. CONCLUSIONS: These findings confirm the relevance of the GFP and the utility of teacher as well as parent reports of adolescent mental health in predicting psychosocial outcomes later in the life course.

Disentangling the influences of parental genetics on offspring's cognition, education, and psychopathology via genetic and phenotypic pathways.

BACKGROUND: Specific pathways of intergenerational transmission of behavioral traits remain unclear. Here, we aim to investigate how parental genetics influence offspring cognition, educational attainment, and psychopathology in youth. METHODS: Participants for the discovery sample were 2,189 offspring (aged 6-14 years), 1898 mothers and 1,017 fathers who underwent genotyping, psychiatric, and cognitive assessments. We calculated polygenic scores (PGS) for cognition, educational attainment, attention-deficit hyperactivity disorder (ADHD), and schizophrenia for the trios. Phenotypes studied included educational and cognitive measures, ADHD and psychotic symptoms. We used a stepwise approach and multiple mediation models to analyze the effect of parental PGS on offspring traits via offspring PGS and parental phenotype. Significant results were replicated in a sample of 1,029 adolescents, 363 mothers, and 307 fathers. RESULTS: Maternal and paternal PGS for cognition influenced offspring general intelligence and executive function via offspring PGS (genetic pathway) and parental education (phenotypic pathway). Similar results were found for parental PGS for educational attainment and offspring reading and writing skills. These pathways fully explained associations between parental PGS and offspring phenotypes, without residual direct association. Associations with maternal, but not paternal, PGS were replicated. No associations were found between parental PGS for psychopathology and offspring specific symptoms. CONCLUSIONS: Our findings indicate that parental genetics influences offspring cognition and educational attainment by genetic and phenotypic pathways, suggesting the expression of parental phenotypes partially explain the association between parental genetic risk and offspring outcomes. Multiple mediations might represent an effective approach to disentangle distinct pathways for intergenerational transmission of behavioral traits.

Caregiver monitoring, but not caregiver warmth, is associated with general cognition in two large sub-samples of youth.

Individual differences in cognitive abilities emerge early during development, and children with poorer cognition are at increased risk for adverse outcomes as they enter adolescence. Caregiving plays an important role in supporting cognitive development, yet it remains unclear how specific types of caregiving behaviors may shape cognition, highlighting the need for large-scale studies. In the present study, we characterized replicable yet specific associations between caregiving behaviors and cognition in two large sub-samples of children ages 9-10 years old from the Adolescent Brain Cognitive Development Study® (ABCD). Across both discovery and replication sub-samples, we found that child reports of caregiver monitoring (supervision or regular knowledge of the child's whereabouts) were positively associated with general cognition abilities, after covarying for age, sex, household income, neighborhood deprivation, and parental education. This association was specific to the type of caregiving behavior (caregiver monitoring, but not caregiver warmth), and was most strongly associated with a broad domain of general cognition (but not executive function or learning/memory). Additionally, we found that caregiver monitoring partially mediated the association between household income and cognition, furthering our understanding of how socioeconomic disparities may contribute to disadvantages in cognitive development. Together, these findings underscore the influence of differences in caregiving behavior in shaping youth cognition. RESEARCH HIGHLIGHTS: Caregiver monitoring, but not caregiver warmth, is associated with cognitive performance in youth Caregiver monitoring partially mediates the association between household income and cognition Results replicated across two large matched samples from the Adolescent Brain Cognitive Development Study® (ABCD).

Threat and deprivation are associated with distinct aspects of cognition, emotional processing, and psychopathology in children and adolescents.

Exposure to childhood adversity has been consistently associated with poor developmental outcomes, but it is unclear whether these associations vary across different forms of adversity. We examined cross-sectional and longitudinal associations between threat and deprivation with cognition, emotional processing, and psychopathology in a middle-income country. The sample consisted of 2511 children and adolescents (6-17 years old) from the Brazilian High-Risk Cohort for Mental Conditions. Parent reports on childhood adversity were used to construct adversity latent constructs. Psychopathology was measured by the Child Behavior Checklist (CBCL) to generate a measure of general psychopathology (the "p" factor). Executive function (EF) and attention orienting toward angry faces were assessed using cognitive tasks. All measures were acquired at two time-points 3 years apart and associations were tested using general linear models. Higher levels of psychopathology were predicted by higher levels of threat cross-sectionally and longitudinally, and by deprivation longitudinally. For EF, worse performance was associated only with deprivation at baseline and follow-up. Finally, threat was associated with attention orienting towards angry faces cross-sectionally, but neither form of adversity was associated with changes over time in attention bias. Our results suggest that threat and deprivation have differential associations with cognitive development and psychopathology. Exposure to adversity during childhood is a complex phenomenon with meaningful influences on child development. Because adversity can take many forms, dimensional models might help to disentangle the specific developmental correlates of different types of early experience. A video abstract of this article can be viewed at https://www.youtube.com/watch?v=uEU0L8exyTM.

A systematic review of evidence-based interventions for child and adolescent mental health problems in low- and middle-income countries.

BACKGROUND: Treatments for mental health problems in childhood and adolescence have advanced in the last 15 years. Despite advances in research, most of the evidence on effective interventions comes from high-income countries, while evidence is scarce in low- and middle-income countries (LMICs), where 90% of world's children and adolescents live. The aim of this review was to identify evidence-based interventions tested in LMICs to treat or prevent child and adolescent mental health problems. METHODS: We conducted a systematic review of seven major electronic databases, from January 2007 to July 2019. We included randomised or non-randomised clinical trials that evaluated interventions for children or adolescents aged 6 to 18 years living in LMICs and who had, or were at risk of developing, one or more mental health problems. Results were grouped according to the studied conditions. Due to the heterogeneity of conditions, interventions and outcomes, we performed a narrative synthesis. The review was registered at PROSPERO under the number CRD42019129376. FINDINGS: Of 127,466 references found through our search strategy, 107 studies were included in narrative synthesis after the eligibility verification processes. Nineteen different conditions and nine types of interventions were addressed by studies included in the review. Over 1/3 of studied interventions were superior to comparators, with psychoeducation and psychotherapy having the highest proportion of positive results. One-third of studies were classified as presenting low risk of bias. INTERPRETATION: This review shows that different interventions have been effective in LMICs and have the potential to close the mental health care gap among children and adolescents in low-resource settings.

Effects of mental health status during adolescence on primary care costs in adulthood across three British cohorts.

PURPOSE: This study examines the association between mental health problems in adolescence and general practice (GP) costs during adulthood up to age 50 in the UK. METHODS: We conducted secondary analyses of three British birth cohorts (individuals born in single weeks in 1946, 1958 and 1970). Data for the three cohorts were analysed separately. All respondents who participated in the cohort studies were included. Adolescent mental health status was assessed in each cohort using the Rutter scale (or, for one cohort, a forerunner of that scale) completed in interviews with parents and teachers when cohort members were aged around 16. Presence and severity of conduct and emotional problems were modelled as independent variables in two-part regression models in which the dependent variable was costs of GP services from data collection sweeps up to mid-adulthood. All analyses were adjusted for covariates (cognitive ability, mother's education, housing tenure, father's social class and childhood physical disability). RESULTS: Adolescent conduct and emotional problems, particularly when coexisting, were associated with relatively high GP costs in adulthood up to age 50. Associations were generally stronger in females than males. CONCLUSION: Associations between adolescent mental health problems and annual GP cost were evident decades later, to age 50, suggesting that there could be significant future savings to healthcare budgets if rates of adolescent conduct and emotional problems could be reduced. TRIAL REGISTRATION: Not applicable.

Longitudinal associations between positive attributes and psychopathology and their interactive effects on educational outcomes.

Psychopathology is associated with impaired learning and early termination of schooling, whereas positive attributes are associated with better educational outcomes. However, it is important to understand if and how psychopathology and positive attributes longitudinally impact each other so we could shed light on where to intervene to promote educational outcomes through these constructs. A large prospective school-based community cohort of youths (5-15 years of age, 45% female) were assessed and followed up for 3 years (n = 2010; 80% retention). We assessed the longitudinal impact of positive attributes (Youth Strength Inventory) and psychopathology (bifactor model of Strengths and Difficulties Questionnaire) using a cross-lagged panel model. We also used generalized mixed effects models to investigate how these both constructs predict school dropout and literacy, adjusting for confounders and testing their interaction. Positive attributes negatively predicted, and were negatively predicted by, the general factor of psychopathology and conduct problems in the cross-lagged panel model. Positive attributes (OR = 0.57, 95% CI [0.44, 0.73], p < 0.001) and specific conduct symptoms (OR = 2.33, 95% CI [1.64, 3.33], p < 0.001) predicted school dropout, whereas the general factor of psychopathology predicted lower literacy ability (ß = - 0.08, 95% CI [- 0.11, - 0.05], p < 0.001). However, the protective association of positive attributes on school dropout decreases as the general factor of psychopathology increases. These findings provide new evidence that positive attributes and psychopathology mutually influence each other over development and have interactive effects on educational outcomes.

Childhood poverty and mental health disorders in early adulthood: evidence from a Brazilian cohort study.

BACKGROUND: We examined the association between childhood poverty and mental health disorders (MHD) in childhood and early adulthood. We also investigated whether the association between poverty in childhood and MHD is mediated by exposure to stressful life events (SLE). METHODS: We used data from a prospective community cohort of young people assessed at baseline (M = 9.7 years, SD = 1.9), first (M = 13.5 years, SD = 1.9), and second (M = 18.2 years, SD = 2.0) follow-ups (N = 1,590) in Brazil. Poverty was assessed using a standardized classification. Exposure to 20 different SLE was measured using the Life History instrument. Psychiatric diagnoses were evaluated using the Development and Well-Being Assessment. Latent growth models investigated the association between poverty at baseline and the growth of any MHD, externalizing, and internalizing disorders. Mediation models evaluated whether the association between childhood poverty and MHD in early adulthood was mediated by exposure to SLE. RESULTS: Poverty affected 11.4% of the sample at baseline and was associated with an increased propensity for presenting externalizing disorders in adolescence or early adulthood (standardized estimate = 0.27, p = 0.016). This association was not significant for any disorder or internalizing disorders. Childhood poverty increased the likelihood of externalizing disorders in early adulthood through higher exposure to SLE (OR = 1.07, 95 CI% 1.01-1.14). Results were only replicated among females in stratified analyses. CONCLUSIONS: Childhood poverty had detrimental consequences on externalizing MHD in adolescence, especially among females. Poverty and SLE are preventable risk factors that need to be tackled to reduce the burden of externalizing disorders in young people.

Latent structure and factor reliability of the National Health Service Community Mental Health Service User Questionnaire.

BACKGROUND: National Health Service use the Community Mental Health Service User Questionnaire (NHS-CMH) to assess care quality. However, its reliability and internal validity is uncertain. AIMS: To test the NHS-CMH structure, reliability and item-level characteristics. METHODS: We used data from 11,373 participants who answered the 2017 NHS-CMH survey. First, we estimated the NHS-CMH structure using Exploratory Factor Analysis (EFA) in half of the dataset. Second, we tested the best EFA-derived model with Confirmatory Factor Analysis (CFA). We tested the internal validity, construct reliability (omega - ω), explained common variance of each factor (ECV), and item thresholds. RESULTS: EFA suggested a 4-factor solution. The structure derived from the EFA was confirmed, demonstrating good reliability for the four correlated dimensions: "Relationship with Staff" (ω = 0.952, ECV = 40.1%), "Organizing Care" (ω = 0.855, ECV = 21.4%), "Medication and Treatments" (ω = 0.837, ECV = 13.3%), and "Support and Well-being" (ω = 0.928, ECV = 25.3%). A second-order model with a high-order domain of "Quality of Care" is also supported. CONCLUSIONS: The NHS-CMH can be used to reliably assess four user-informed dimensions of mental health care quality. This model offers an alternative for its current use (item-level and untested sum scores analysis).

Weathering Resistance of Waterborne Polyurethane Coatings Reinforced with Silica from Rice Husk Ash.

Waterborne polyurethanes (WPUs) are interesting materials for coatings when compared to solvent-based polyurethanes, once that reducing the concentration of volatile organic compounds that are harmful for human health and the environment. However, the WPU has low weathering resistance. In order to improve this behavior among others properties, inorganic fillers has been added in these systems. SiO2 particles from various sources, mainly, from agro-industrial waste, as rice husk has attracted the scientific and technological interest. In this study, the accelerated weathering essay was performed in waterborne polyurethane (WPU)/ silica (from rice husk ash) composites in order to evaluate the thermal and physical changes in these materials. These composites were prepared by two distinct methods: in situ polymerization and blending method. The highest resistance to thermal degradation and to accelerated weathering was reached with WPU/silica composites obtained by blending method due the interactions between SiO2 particles and the polymer matrices. Blending method for preparation WPU/silica composites proved to be a simpler and faster method, with no drawback for large scale application.

Cross-Sectional and Longitudinal Associations of Temperament and Mental Disorders in Youth.

Here we evaluate the cross-sectional and longitudinal associations between temperament and mental disorders in adolescents. Temperament was assessed in a cohort of 1540 youths by the revised self-report Early Adolescence Temperament Questionnaire (EATQ-R) at baseline and confirmatory factor analyses were used to test the best empirical model. Mental disorders were assessed by parental interview using the Development and Well-Being Behavior Assessment at baseline and at 3-year follow-up. Participants were grouped into Typically Developing Comparisons, Phobias, Distress, Attention-Deficit/Hyperactivity Disorder (ADHD) and Disruptive Behavior Disorders (DBD). Logistic regression models tested the effects of temperament on incidence and remission of mental disorders. The bifactor model of EATQ-R presented the best fit. Distress, ADHD and DBD have lower levels of effortful control in baseline. Adjusted longitudinal analysis showed that effortful control predicted lower incidence of Phobias (OR 0.74; p = 0.018), distress (OR 0.74; p = 0.014) and DBD (OR 0.68; p = 0.037). Temperament factors did not predicted remission rates.

Trajectories of positive attributes from childhood to young adulthood and its associations with threat and deprivation.

OBJECTIVE: The aims of this study are to investigate the trajectory of positive attributes from childhood to early adulthood and to explore how those trajectories can be modified by two domains of childhood adversity - threat and deprivation. METHODS: A large prospective school-based community cohort of youths (n=2,511, 6-14 years of age, 45% female) was assessed and followed up for 3 years (80% retention) and 6 years (71% retention). Positive attributes were assessed by the Youth Strength Inventory (YSI). Childhood exposure to threat and deprivation were assessed by a composite measure using multiple indicators. RESULTS: Trajectories of YSI scores were non-linear and distinct for boys and girls. While boys presented a more stable trajectory; girls showed higher levels of positive attributes early in life that decrease over time around adolescence. Both exposure to threat and deprivation presented negative linear association with YSI over time. Furthermore, we found interactions between developmental stage and both adversity domains meaning that the effects of exposure to adversity were stronger at earlier developmental stages and almost non-significant closer to early adulthood. CONCLUSION: Our findings provide new evidence on trajectories of positive attributes in youth and reveal and how experiences of adversity in early life impact not only mental disorder but also positive aspects of mental health.

An Evaluation of Item Harmonization Strategies Between Assessment Tools of Psychopathology in Children and Adolescents.

Data aggregation in mental health is complicated by using different questionnaires, and little is known about the impact of item harmonization strategies on measurement precision. Therefore, we aimed to assess the impact of various item harmonization strategies for a target and proxy questionnaire using correlated and bifactor models. Data were obtained from the Brazilian High-Risk Study for Mental Conditions (BHRCS) and the Healthy Brain Network (HBN; N = 6,140, ages 5-22 years, 39.6% females). We tested six item-wise harmonization strategies and compared them based on several indices. The one-by-one (1:1) expert-based semantic item harmonization presented the best strategy as it was the only that resulted in scalar-invariant models for both samples and factor models. The between-questionnaires factor correlation, reliability, and factor score difference in using a proxy instead of a target measure improved little when all other harmonization strategies were compared with a completely at-random strategy. However, for bifactor models, between-questionnaire specific factor correlation increased from 0.05-0.19 (random item harmonization) to 0.43-0.60 (expert-based 1:1 semantic harmonization) in BHRCS and HBN samples, respectively. Therefore, item harmonization strategies are relevant for specific factors from bifactor models and had little impact on p-factors and first-order correlated factors when the child behavior checklist (CBCL) and strengths and difficulties questionnaire (SDQ) were harmonized.

The interplay between ADHD and school shift on educational outcomes in children and adolescents: A cross-sectional and longitudinal analysis.

Many countries implement a double-shift schooling system, offering morning or afternoon shifts, driven by diverse factors. Young people with ADHD may face educational problems attending morning shifts compared to afternoon shifts. To investigate this, we used data from a Brazilian school-based cohort (n = 2.240, 6-14 years old, 45.6% female; 50.2% in the morning shift; 11.2% with ADHD). ADHD was determined by child psychiatrists using semi-structured interview. Educational outcomes were measured cross-sectionally and three years later (80% retention) and included reading and writing ability, performance in school subjects, and any negative school events (repetition, suspension, or dropout). Generalized regression models tested the interaction between ADHD and school shift and were adjusted for age, sex, race/ethnicity, intelligence, parental education, socioeconomic status, and site. Attrition was adjusted with inverse probability weights. We used two dimensional measures of attentional problems as sensitivity analysis. ADHD and morning shift were independently associated with lower reading and writing ability and with higher odds for negative school events cross sectionally. ADHD independently predicted lower performance in school subjects and higher negative school events at follow-up. Interaction was found only at the cross-sectional level in a way that those studying in the afternoon present better educational outcomes compared with those studying in the morning only if they have lower ADHD symptom. Thus, ADHD was not associated with poorer educational outcomes among those studying in the morning. However, participants studying in the afternoon with lower levels of attentional problems presented better educational, despite these associations fade away over time.

Associations between a Brazilian suicide awareness campaign and suicide trends from 2000 to 2019: Joinpoint and regression discontinuity analysis.

BACKGROUND: Suicide is a global health concern whose rates are soaring in many low-and-middle-income countries. Public awareness campaigns have been implemented in Brazil; however, their impact is uncertain. METHODS: This was an ecological study using population data from DATA-SUS, a Brazilian official notification system, selecting only deaths that were voluntarily self-inflicted (CID-10 × 60-X84). We analyzed all available data from 2000 to 2019 to assess trends before and after the national Yellow September (YS) campaign started in 2015. Differences in trends were assessed by Joinpoint Analysis (JA) and Regression Discontinuity Analysis (RDD), unadjusted and adjusted for economic factors. RESULTS: Overall, there was a progressive increase in the rate of relative (per 100,000 inhabitants) number of suicides over time between 2000 and 2019 (57 % increase). The JA detected a change in the slope of the curve representing an acceleration in suicides starting in the year 2015. Adjusted RDD revealed the year that Yellow September started significantly change the slope of the association between time and rates of suicide (pinteraction < 0.01), and marginal analysis detected the coefficient increased from 0.07 (95%CI 0.04-0.10) to 0.27 (95%CI -0.07-0.60) suicides/year per 100,000 inhabitants. LIMITATIONS: The ecological nature of the manuscript compromises causational implications. CONCLUSIONS: We found an increase in suicidal trends in Brazil, against the global trend that coincides with the beginning of a large national awareness campaign. Although we cannot attribute causality, our results reinforce the need of further studies to better understand the role of awareness campaigns in suicide reduction interventions, including potential unintended effects.