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).

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.

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.

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.

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.

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.

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.

Relative impact of diagnosis and clinical stage on response to electroconvulsive therapy: a retrospective cohort

Objectives: Electroconvulsive therapy (ECT) is commonly indicated for refractory psychiatric disorders. However, little research has compared response across diagnoses. Here, we aimed to evaluate the relative impact of diagnosis and clinical staging as response predictors in a cross-diagnostic sample. Methods: In a retrospective cohort of adult inpatients (n=287) who underwent at least six sessions of ECT, we investigated predictors of complete response (a clinical global impression of 1) to ECT. We use adjusted regression models to estimate the impact of clinical diagnosis and staging on complete response and dominance analysis to assess the relative importance of these predictors. Results: Those for whom a depressive episode was a primary indication for treatment were the most likely to have complete improvement, while those with psychosis were the least likely; clinical stage had a significant influence on outcome in all diagnoses. A diagnosis of psychosis was the strongest predictor of non-response. Conclusions: A diagnosis of psychosis (mainly schizophrenia) was the strongest predictor of non-response. We also found that clinical staging can aggregate information on ECT response that is independent of clinical diagnosis.

Translating measurement into practice: Brazilian norms for depressive symptom assessment with the Patient Health Questionnaire (PHQ-9)

Objectives: 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 Saúde - 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: Confirmatory 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.

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.

Relative impact of diagnosis and clinical stage on response to electroconvulsive therapy: a retrospective cohort.

OBJECTIVE: Electroconvulsive therapy (ECT) is commonly indicated for refractory psychiatric disorders. However, response comparison across diagnoses is scantly investigated. Here, we aimed to evaluate the relative impact of diagnosis and clinical staging as response predictors in a cross-diagnostic sample. METHODS: We investigate, in a retrospective cohort of adult inpatients (N=287) who underwent at least six sessions of ECT, predictors of complete response (a clinical global impression of 1) to ECT. We use adjusted regression models to estimate the impact of clinical diagnosis and staging on complete response and dominance analysis to assess the relative importance of these predictors. RESULTS: Those with a depressive episode as a primary indication for treatment were more likely than all the other groups to have complete improvement, while those with psychosis were the least likely; clinical stage had a significant influence on outcome in all diagnoses. A diagnosis of psychosis stood as the strongest predictor of non-response. CONCLUSION: An indication of ECT for psychosis (mostly schizophrenia) had a dominant impact in our cohort, indicating a worse chance of response. We also demonstrate that clinical staging can aggregate information on response to electroconvulsive therapy that is independent of clinical diagnosis.

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.

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.

Depression in mothers at childhood: Direct and indirect association with problematic gaming in late adolescence/young adulthood.

OBJECTIVES: Little is known about the relationship between depression in mothers and problematic gaming in their children. Therefore, we aimed to investigate the potential role of mothers' depression in childhood as a risk factor for problematic gaming in their offspring in late adolescence/young adulthood. METHODS: We assessed data from 1557 participants on three waves (T0 collected in 2010/2011, T1 in 2013/2014, and T2 in 2018/2019) of a large Brazilian school-based cohort. Mother's depression at T0 was tested as a predictor of problematic gaming at T2 in a logistic regression model. In mediation analyses, we individually assessed internalizing or externalizing disorders at T1 as mediators in this association, with participants' sex being tested as a moderator in both models. Inverse probability weights were used to account for sample attrition at T2. All models were adjusted for maternal and participant-related covariates. RESULTS: Mother's depression at T0 was significantly associated with problematic gaming at T2 (OR = 2.09, p < 0.001) even after adjusting for multiple confounding factors. The presence of any internalizing disorder at T1 was a partial mediator of this relationship, accounting for 8.18% (p = 0.032) of the total effect, while the presence of any externalizing disorder at T1 was not a significant mediator. Participants' sex was not a significant moderator in mediation models. CONCLUSIONS: These findings suggest mother's depression in childhood as a risk factor for problematic gaming in later developmental stages, which may be partially mediated by internalizing psychopathology.

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.

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.

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.