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.

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.

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.

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.

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).

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.

Comparing mental health semi-structured diagnostic interviews and symptom checklists to predict poor life outcomes: an 8-year cohort study from childhood to young adulthood in Brazil.

BACKGROUND: Semi-structured diagnostic interviews and symptom checklists present similar internal reliability. We aim to investigate whether they differ in predicting poor life outcomes in the transition from childhood to young adulthood. METHODS: For this longitudinal study, we used data from the Brazilian High Risk Cohort Study for Childhood Mental Health Conditions. Eligible participants were aged 6-14 years on the day of study enrolment (January to February, 2010) and were enrolled in public schools by a biological parent in Porto Alegre and São Paulo, Brazil. 2511 young people and their caregivers were assessed at baseline in 2010-11, and 1917 were assessed 8 years later (2018-19; 76·3% retention). Clinical thresholds were derived using semi-structured parent-report interview based on the Diagnostic and Statistical Manual of Mental Disorders, according to the Developmental and Well-being Assessment (DAWBA), and clinical scores as defined by the Child Behavior Checklist (CBCL; T-score ≥70 considered positive caseness). At 8 years, participants were assessed for a composite life-threatening outcome (a composite of death, suicide attempts, severe self-harm, psychiatric inpatient admission, or emergency department visits) and a composite poor life chances outcome (a composite of any criminal conviction, substance misuse, or school dropout). We evaluated the accuracy of DAWBA and CBCL to predict these outcomes. Logistic regression models were adjusted for age, sex, race or ethnicity, study site, and socioeconomic class. FINDINGS: DAWBA and CBCL had similar sensitivity, specificity, predictive values, and test accuracy for both composite outcomes and their components. Any mental health problem, as classified by DAWBA and CBCL, was independently associated with the composite life-threatening outcome (DAWBA adjusted odds ratio 1·62, 95% CI 1·20-2·18; CBCL 1·66, 1·19-2·30), but only CBCL independently predicted poor life chances (1·56, 1·19-2·04). Participants classified by both approaches did not have higher odds of the life-threatening outcome when compared with participants classified by DAWBA or CBCL alone, nor for the poor life chances outcome when compared with those classified by CBCL alone. INTERPRETATION: Classifying children and adolescents based on a semi-structured diagnostic interview was not statistically different to symptom checklist in terms of test accuracy and predictive validity for relevant life outcomes. Classification based on symptom checklist might be a valid alternative to costly and time-consuming methods to identify young people at risk for poor life outcomes. FUNDING: Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; and Medical Research Council, European Research Council. TRANSLATION: For the Portuguese translation of the abstract see Supplementary Materials section.

Experience of Service Questionnaire (ESQ) in children and adolescents: factor structure, reliability, validity, item parameters and interpretability of the parent version for practical use in Greece.

Background: Health systems need tools to assess patient's experience of service, but existing tools lack reliability and validity assessment. Our aim is to investigate the factor structure, reliability, validity, item parameters and interpretability of the parent version of the Experience of Service Questionnaire (ESQ) for practical use in Greece. Methods: A total of 265 caregivers that were using mental health services in Greece participated in this study as part of the Nationwide cross-sectional survey from the Child and Adolescent Mental Health Initiative (CAMHI). Confirmatory Factor Analysis was used to test factor structure. Reliability of all models were measured with omega coefficients. Tobit regression analysis was used to test for convergent and discriminant validity with specifically designed questions. Item parameters were assessed via Item Response Theory. Interpretability was assessed by means of IRT-based scores. Results: We found that ESQ is best represented and scored as a unidimensional construct, given potential subscales would not have enough reliability apart from a general factor. Convergent and discriminant validity was demonstrated, as caregivers who perceived that their child benefited from the received mental health care had 6.50 higher summed scores (SMD=1.14, p<0.001); while those who believed that their child needed additional help had 5.08 lower summed scores on the ESQ (SMD=-0.89, p<0.001). Average z-scores provided five meaningful categories of services, in terms of user satisfaction, compared to the national average. Conclusions: Our study presents evidence for the reliability and validity of the ESQ and provides recommendations for its practical use in Greece. ESQ can be used to measure experience of service and might help drive improvements in service delivery in the Greek mental health sector.

Adverse childhood experiences and crime outcomes in early adulthood: A multi-method approach in a Brazilian birth cohort.

This study aimed to investigate alternative approaches to a cumulative risk score in the relationship between adverse childhood experiences (ACEs) and crime. Using data from the 1993 Pelotas (Brazil) Birth Cohort (n = 3236), we measured 12 ACEs up to 15 years, and past-year violent and non-violent crime at 22 years. We used four analytical approaches: single adversities, cumulative risk, latent class analysis, and network analysis. When examined individually, physical abuse, emotional abuse, and domestic violence were associated with both crime outcomes, whereas maternal mental illness and discrimination were associated with violent crime only, and parental divorce and poverty with non-violent crime only. There was a cumulative effect of ACEs on crime. The class with child maltreatment and household challenges was associated with both crime outcomes; exposure to household challenges and social risks was associated with violent crime only. In network models, crime showed conditional associations with physical abuse, maternal mental illness, and parental divorce. Although cumulative ACEs did associate with crime, some individual and combinations of ACEs showed particularly strong and robust effects, which were not captured by the cumulative score. Many ACEs are closely connected and/or cluster together, and the usefulness of the ACE score needs to be further evaluated.

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.

Beyond frequency: Evaluating the validity of assessing the context, duration, ability, and botherment of depression and anxiety symptoms in South Brazil.

Assessment tools for depression and anxiety usually inquire about the frequency of symptoms. However, evidence suggests that different question framings might trigger different responses. Our aim is to test if asking about symptom's context, ability, duration, and botherment adds validity to Patient Health Questionnaire-9, General Anxiety Disorder-7, and Patient-Related Outcome Measurement Information Systems depression and anxiety. Participants came from two cross-sectional convenience-sampled surveys (N = 1,871) of adults (66% females, aged 33.4 ± 13.2), weighted to approximate with the state-level population. We examined measurement invariance across the different question frames, estimated whether framing affected mean scores, and tested their independent validity using covariate-adjusted and sample-weighted structural equation models. Validity was tested using tools assessing general disability, alcohol use, loneliness, well-being, grit, and frequency-based questions from depression and anxiety questionnaires. A bifactor model was applied to test the internal consistency of the question frames under the presence of a general factor (i.e., depression or anxiety). Measurement invariance was supported across the different frames. Framing questions as ability (i.e., "How easily …") produced a higher score, compared with framing by context (i.e., "In which daily situations …"). Construct and criterion validity analysis demonstrate that variance explained using multiple question frames was similar to using only one. We detected a strong overarching factor for each instrument, with little variances left to be explained by the question frame. Therefore, it is unlikely that using different adverbial phrasings can help clinicians and researchers to improve their ability to detect depression or anxiety. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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.

Translation, cultural adaptation, and validation of the Brazilian Portuguese version of the Higher Education Stress Inventory (HESI-Br).

OBJECTIVES: There are no validated instruments to measure education-related stress in Brazilian university students. Thus, we aimed to translate and test the internal reliability, convergent/discriminant validity, and measurement equivalence of the Higher Education Stress Inventory (HESI). METHODS: The translation protocol was carried out by two independent translators. The instrument was culturally adapted after a pilot version was administered to 36 university students. The final version (HESI-Br) was administered to 1,021 university students (mean age = 28.3, standard deviation [SD] = 9.6, 76.7% female) via an online survey that lasted from September 1 to October 15, 2020. The factor structure was estimated using exploratory factor analysis (EFA) on the first half of the dataset. We tested the best EFA-derived model with confirmatory factor analysis (CFA) on the second half. Convergent/discriminant validity was tested using the Depression, Anxiety and Stress Scale (DASS-21). Sex, age groups, period of study, family income and area of study were used to test measurement equivalence. RESULTS: EFA suggested five factors: career dissatisfaction; faculty shortcomings; high workload; financial concerns; and toxic learning environment. CFA supported the five-factor model (15 items), but not a higher order factor, suggesting multidimensionality. All five factors presented acceptable internal reliabilities, with Cronbach's α ≥ 0.72 and McDonald's ω ≥ 0.64. CFA models indicated that the HESI-Br and DASS-21 assess different but correlated underlying latent constructs, supporting discriminant validity. Equivalence was ascertained for all tested groups. CONCLUSION: The 15-item HESI-Br is a reliable and invariant multidimensional instrument for assessing relevant stressors among university students in Brazil.

Harmonizing bifactor models of psychopathology between distinct assessment instruments: Reliability, measurement invariance, and authenticity.

OBJECTIVES: Model configuration is important for mental health data harmonization. We provide a method to investigate the performance of different bifactor model configurations to harmonize different instruments. METHODS: We used data from six samples from the Reproducible Brain Charts initiative (N = 8,606, ages 5-22 years, 41.0% females). We harmonized items from two psychopathology instruments, Child Behavior Checklist (CBCL) and GOASSESS, based on semantic content. We estimated bifactor models using confirmatory factor analysis, and calculated their model fit, factor reliability, between-instrument invariance, and authenticity (i.e., the correlation and factor score difference between the harmonized and original models). RESULTS: Five out of 12 model configurations presented acceptable fit and were instrument-invariant. Correlations between the harmonized factor scores and the original full-item models were high for the p-factor (>0.89) and small to moderate (0.12-0.81) for the specific factors. 6.3%-50.9% of participants presented factor score differences between harmonized and original models higher than 0.5 z-score. CONCLUSIONS: The CBCL-GOASSESS harmonization indicates that few models provide reliable specific factors and are instrument-invariant. Moreover, authenticity was high for the p-factor and moderate for specific factors. Future studies can use this framework to examine the impact of harmonizing instruments in psychiatric research.

Translating measurement into practice: Brazilian norms for the Patient Health Questionnaire (PHQ-9) for assessing depressive symptoms.

OBJECTIVE: To provide practical norms for measuring depressive symptoms using the Patient Health Questionnaire 9 (PHQ-9) in Brazil using a state-of-art psychometrics analysis. METHODS: We used a large and representative Brazilian dataset from the 'Pesquisa Nacional de Saúde - 2019'(PNS-2019), which includes 90,846 Brazilian citizens. First, to assess the scale structure, we assessed the unidimensional model using Confirmatory Factor Analysis (CFA). Second, we used Item Response Theory (IRT) to characterize depressive symptoms´ distribution. Then, we linked summed- and meanbased PHQ-9 scores with the IRT-based score by using generalized additive models. Finally, we generated percentiles, T scores, and a newly developed score, called D scores (decimal scores), to describe the PHQ-9 norms for Brazilian population. RESULTS: CFA revealed a good fit to the unidimensional model, showing to be invariant to age and sex. IRT captured item-level information of the latent trait (reliable from 1 to 3 standard deviations above the mean). Brazilian norms were presented using summed-, T-scores, and D-scores. CONCLUSIONS: This is the first study to define Brazilian´s 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.