Validation of hierarchical taxonomy in a clinical sample.

BACKGROUND: Quantitatively derived dimensional models of psychopathology enjoy overwhelming empirical support, and a large and active community of psychopathology researchers has been establishing an empirically based dimensional hierarchical taxonomy of psychopathology (or HiTOP) as a strong candidate replacement for the current categorical classification system. The hierarchical nature of this taxonomy implies that different levels of resolution are likely to be optimal for different purposes. Our aim was to identify which level of detail is likely to provide optimal validity and explanatory power with regard to relevant clinical variables. METHODS: In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services project, we used data from a sample of 2900 psychiatric outpatients to compare different levels from a bass-ackwards model of psychopathology in relation to psychosocial impairment across different domains (global functioning, inability to work, social functioning, suicidal ideation, history of suicide attempts, history of psychiatric hospitalization). RESULTS: All functioning indices were significantly associated with general psychopathology, but more complex levels provided significant incremental validity. The optimal level of complexity varied across functioning indices, suggesting that there is no single 'best' level for understanding relations between psychopathology and functioning. CONCLUSIONS: Results support the hierarchical organization of psychopathology dimensions with regard to validity considerations and downstream implications for applied assessment. It would be fruitful to develop and implement measurement of these dimensions at the appropriate level for the purpose at hand. These findings can be used to guide HiTOP-consistent assessment in other research and clinical settings.

Risk and resilience factors for psychopathology during pregnancy: An application of the Hierarchical Taxonomy of Psychopathology (HiTOP).

Pregnancy is a time of increased vulnerability to psychopathology, yet limited work has investigated the extent to which variation in psychopathology during pregnancy is shared and unshared across syndromes and symptoms. Understanding the structure of psychopathology during pregnancy, including associations with childhood experiences, may elucidate risk and resilience factors that are transdiagnostic and/or specific to particular psychopathology phenotypes. Participants were 292 pregnant individuals assessed using multiple measures of psychopathology. Confirmatory factor analyses found evidence for a structure of psychopathology consistent with the Hierarchical Taxonomy of Psychopathology (HiTOP). A common transdiagnostic factor accounted for most variation in psychopathology, and both adverse and benevolent childhood experiences (ACEs and BCEs) were associated with this transdiagnostic factor. Furthermore, pregnancy-specific anxiety symptoms most closely reflected the dimension of Fear, which may suggest shared variation with manifestations of fear that are not pregnancy-specific. ACEs and BCEs also linked to specific prenatal psychopathology involving thought problems, detachment, and internalizing, externalizing, antagonistic, and antisocial behavior. These findings extend the dimensional and hierarchical HiTOP model to pregnant individuals and show how maternal childhood risk and resilience factors relate to common and specific forms of psychopathology during pregnancy as a period of enhanced vulnerability.

The 5-year longitudinal diagnostic profile and health services utilization of patients treated with electroconvulsive therapy in Quebec: a population-based study.

PURPOSE: Electroconvulsive therapy (ECT) is effective for treating several psychiatric disorders. However, only a minority of patients are treated with ECT. It is of primary importance to characterize their profile for epidemiological purposes and to inform clinical practice. We aimed to characterize the longitudinal profile of psychopathology and services utilization of patients first treated with ECT. METHODS: We conducted a population-based comparative study using data from a national administrative database in Quebec. Patients who received a first ECT between 2002 and 2016 were compared to controls who were hospitalized in psychiatry but did not receive ECT. We performed descriptive analyses to compare psychiatric diagnoses, domains of psychopathology (internalizing, externalizing and thought/psychotic disorders), medical services and medication use in the 5 years prior to the ECT or hospitalization. RESULTS: 5 080 ECT patients were compared with 179 594 controls. Depressive, anxiety, bipolar and psychotic disorders were more frequent in the ECT group. 96.2% of ECT patients had been diagnosed with depression and 53.8% with a primary psychotic disorder. In the ECT group, 1.0% had been diagnosed exclusively with depression and 47.0% had disorders from that belong to all three domains of psychopathology. Having both internalizing and thought/psychotic disorders was associated with an increased likelihood of receiving ECT vs having internalizing disorders alone (unadjusted OR = 2.93; 95% CI = 2.63, 3.26). All indicators of mental health services utilization showed higher use among ECT patients. CONCLUSION: Our results provide robust evidence of complex longitudinal psychopathology and extensive services utilization among ECT patients.

Risk perception, treatment adherence, and personality during COVID-19 pandemic: An international study on cancer patients.

OBJECTIVE: To explore the role of personality traits in moderating the relation between COVID-19 risk perception and treatment adherence, and between risk perception and psychosocial distress in patients diagnosed with cancer. METHODS: An online survey (n = 1281) was conducted worldwide in seven countries (Austria, Germany, Hong Kong, Italy, Spain, Sweden, and Turkey). Inclusion criteria were to be 18 years of age or older, have received a cancer diagnosis, and be in treatment or follow-up. A few moderated regression models were performed with both personality traits and Hierarchical Taxonomy of Psychopathology super-spectra as moderators. RESULTS: Detachment, negative affectivity, psychoticism and all the super-spectra significantly moderated the relation between coronavirus risk perception and psychosocial distress, after the adjusting effect of confidence in safeguards. Only negative affectivity moderated the association between coronavirus risk perception and treatment adherence. CONCLUSIONS: Personality traits may foster the understanding of how a patient might adjust to cancer treatment and, more generically, to highly stressful events such as the COVID-19 pandemic. Further research is needed to confirm the results in different cancer stages and types.

Higher order compulsivity versus grooming dimensions as treatment targets for the DSM-5 obsessive-compulsive and related disorders.

BACKGROUND: Transdiagnostic definitions of obsessive-compulsive and related disorders (OCRDs) may represent useful treatment targets. The current study sought to characterize higher order dimensions underpinning the OCRDs in the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition, and examine their course during treatment. METHODS: Adult patients (N = 407) completed measures of OCRDs, depression, and worry before and after intensive/residential treatment for OCRDs. Structural equation modeling was used to examine the comorbidity structure and temporal course of the symptoms. RESULTS: Covariation of the symptoms was best represented by three dimensions: distress (depression and worry), compulsivity (obsessive-compulsive disorder, hoarding, and body dysmorphia), and grooming (hair pulling and skin picking). Latent change score modeling revealed significant reduction in the means of all three dimensions across treatment (Cohen's ds = -1.04, -0.62, and -0.23 for distress, compulsivity, and grooming, respectively). There was a strong correlation between change in compulsivity and grooming (r = .67) and change in compulsivity and distress (r = .80), but a small correlation between change in grooming and distress (r = .35). CONCLUSIONS: The results indicate that OCRDs are underpinned by higher order compulsivity and grooming dimensions that differ in their association with distress. The results further suggest that the two dimensions may reflect promising intervention targets suitable for transdiagnostic treatment protocols.

Psychopathy: Current Knowledge and Future Directions.

Research on psychopathy has progressed considerably in recent years against the backdrop of important advances in the broader field of clinical psychological science. My major aim in this review is to encourage integration of investigative work on dispositional, biobehavioral, and developmental aspects of psychopathy with counterpart work on general psychopathology. Using the triarchic model of psychopathy as a frame of reference, I offer perspective on long-standing debates pertaining to the conceptualization and assessment of psychopathy, discuss how dispositional facets of psychopathy relate to subdimensions of internalizing and externalizing psychopathology, and summarize findings from contemporary biobehavioral and developmental research on psychopathy. I conclude by describing a systematic strategy for coordinating biobehavioral-developmental research on psychopathy that can enable it to be informed by, and help inform, ongoing research on mental health problems more broadly.

Transdiagnostic dimensions in obsessive-compulsive and related disorders: associations with internalizing and externalizing symptoms.

BACKGROUND: Hierarchical structural models of psychopathology rarely extend to obsessive-compulsive spectrum disorders. The current study sought to examine the higher-order structure of the obsessive-compulsive and related disorders (OCRDs) in DSM-5: obsessive-compulsive disorder (OCD), hoarding disorder (HD), body dysmorphic disorder (BDD), trichotillomania (hair-pulling disorder; HPD) and excoriation (skin-picking) disorder (SPD). METHODS: Adult patients in a partial hospital program (N = 532) completed a dimensional measure of the five OCRDs. We used confirmatory factor analysis to identify the optimal model of the comorbidity structure. We then examined the associations between the transdiagnostic factors and internalizing and externalizing symptoms (i.e. depression, generalized anxiety, neuroticism, and drug/alcohol cravings). RESULTS: The best fitting model included two correlated higher-order factors: an obsessions-compulsions (OC) factor (OCD, BDD, and HD), and a body-focused repetitive behavior (BFRB) factor (HPD and SPD). The OC factor, not the BFRB factor, had unique associations with internalizing symptoms (standardized effects = 0.42-0.66) and the BFRB factor, not the OC factor, had small marginally significant unique association with drug/alcohol cravings (standardized effect = 0.22, p = 0.088). CONCLUSIONS: The results mirror findings from twin research and indicate that OCD, BDD, and HD share liability that is significantly associated with internalizing symptoms, but this liability may be relatively less important for BFRBs. Further research is needed to better examine the associations between BFRBs and addictive disorders.

On top or underneath: where does the general factor of psychopathology fit within a dimensional model of psychopathology?

BACKGROUND: Dimensional models of psychopathology are increasingly common and there is evidence for the existence of a general dimension of psychopathology ('p'). The existing literature presents two ways to model p: as a bifactor or as a higher-order dimension. Bifactor models typically fit sample data better than higher-order models, and are often selected as better fitting alternatives but there are reasons to be cautious of such an approach to model selection. In this study the bifactor and higher-order models of p were compared in relation to associations with established risk variables for mental illness. METHODS: A trauma exposed community sample from the United Kingdom (N = 1051) completed self-report measures of 49 symptoms of psychopathology. RESULTS: A higher-order model with four first-order dimensions (Fear, Distress, Externalising and Thought Disorder) and a higher-order p dimension provided satisfactory model fit, and a bifactor representation provided superior model fit. Bifactor p and higher-order p were highly correlated (r = 0.97) indicating that both parametrisations produce near equivalent general dimensions of psychopathology. Latent variable models including predictor variables showed that the risk variables explained more variance in higher-order p than bifactor p. The higher-order model produced more interpretable associations for the first-order/specific dimensions compared to the bifactor model. CONCLUSIONS: The higher-order representation of p, as described in the Hierarchical Taxonomy of Psychopathology, appears to be a more appropriate way to conceptualise the general dimension of psychopathology than the bifactor approach. The research and clinical implications of these discrepant ways of modelling p are discussed.

Factorial invariance in hierarchical factor models of mental disorders in African American and European American youths.

BACKGROUND: There is converging evidence that mental disorders are more optimally conceptualized in a hierarchical framework (i.e., the Hierarchical Taxonomy of Psychopathology, HiTOP) that transcends the categorical boundaries of the Diagnostic and Statistical Manual of Mental Disorders (DSM). However, the majority of this evidence comes from studies that draw upon predominantly European American or Caucasian populations. Whether a hierarchical conceptualization of mental disorders generalizes across racial-ethnic groups, including for African American (AA) populations, is unclear. METHODS: We tested multidimensional and bifactor models of 15 DSM diagnoses and psychiatric traits in two groups, including AA (n = 3,088) and European American (EA; n = 5,147) youths aged 8-21 from the Philadelphia Neurodevelopmental Cohort (PNC). We also conducted multigroup confirmatory factor analyses to test for factorial invariance between the best fitting AA and EA multidimensional and bifactor models. RESULTS: In the multidimensional model tests, a three-factor model, specifying internalizing, externalizing, and thought dimensions, emerged as the best fitting model for AAs and EAs. In the bifactor model tests, a three-factor model (i.e., internalizing, externalizing, and thought dimensions) that also specified a general factor emerged as the optimal for both AAs and EAs. The general factor accounted for a significant proportion of the covariation between the secondary factors and the individual disorders and traits. Furthermore, both models were factorially invariant, indicating no significant difference in the factor structure of mental disorders between AAs and EAs in PNC. CONCLUSIONS: Results suggest that the hierarchical factor structure of mental disorders may be racial-ethnically robust. This finding has implications for etiological and epidemiological studies focused on racial-ethnic subgroup comparisons, particularly with respect to identifying similarities and differences in prevalence rates or sociodemographic risk factors for mental disorders.

Mapping features of pathological exercise using hierarchical-dimensional modeling.

OBJECTIVE: Pathological exercise is common among those with eating disorders and has typically been characterized as excessive, compulsive, or compensatory in nature. Little is known about how pathological exercise is associated with other eating disorder behaviors or personality traits, or whether these associations differ between men and women. METHOD: We used hierarchical dimensional modeling in three samples, including college women (N = 205), women with eating psychopathology (N = 268), and college men (N = 235), to examine latent associations between pathological exercise and eating disorder psychopathology, namely compulsivity, emotion regulation, and body dissatisfaction. RESULTS: Using Goldberg's (2006) "bass-ackwards" method, we identified separate 10-factor solutions (women) or an 11-factor solution (men). A distinct muscle building factor arose in the three-factor solution for men, and it also notably arose in the six- and eight-factor solutions for community and college women, respectively, highlighting an important understudied motivation factor in both healthy and pathological exercise. Each solution accounted for 64.8% (college women), 51.9% (women with eating psychopathology), and 43.9% (college men) of the variance in excessive exercise, respectively. DISCUSSION: Findings indicate that pathological exercise is associated with different psychological traits (e.g., poor emotion regulation, compulsivity) across populations, and such differences may necessitate unique treatment approaches tailored accordingly.

Treatment Refractory Internalizing Behaviour Across Disorders: An Aetiological Model for Severe Emotion Dysregulation in Adolescence.

Auto-aggressive behaviour, especially treatment refractory suicidality in adolescents with psychiatric disorders, may be challenging to clinicians. In search of therapeutic possibilities, we have integrated current opinions regarding causality and interdependency of suicidality and auto-aggressive behaviour across disorders within the HiTOP framework. We propose a developmental model regarding these unsettling behaviours in youths that may help to guide future directions for research and interventions. We argue that the interdependent development of biologic factors, attachment, moral reasoning and emotion regulation in an overprotective environment may lead to social anxiety and later during development to emotion dysregulation and severe internalizing behaviour disorders. To optimize treatment efficacy for both internalizing and externalizing behaviour, we emphasize the importance transdiagnostic interventions, such as addressing non-compliance, restoration of trust between parents and their child, and limitation of avoidance behaviour. These may be seen as higher order interventions within the HiTOP framework.

A new approach to eating-disorder classification: Using empirical methods to delineate diagnostic dimensions and inform care.

OBJECTIVE: Despite changes to the diagnostic criteria for eating disorders (EDs) in the DSM-5, the current diagnostic system for EDs has limited ability to inform treatment planning and predict outcomes. Our objective was to test the clinical utility of a novel dimensional approach to understanding the structure of ED psychopathology. METHOD: Participants (N = 243; 82.2% women) were community-recruited adults with a DSM-5 ED assessed at baseline, 6-month, and 1-year follow-up. Hierarchical factor analysis was used to identify a joint hierarchical-dimensional structure of eating, mood, and anxiety symptoms. Exploratory structural equation modeling was used to test the ability of the dimensional model to predict outcomes. RESULTS: At the top of the hierarchy, we identified a broad Internalizing factor that reflected diffuse symptoms of eating, mood, and anxiety disorders. Internalizing branched into three subfactors: distress, fear-avoidance (fears of certain stimuli and behaviors to neutralize fears, including ED behaviors designed to reduce fear of weight gain), and body dissatisfaction, which was nested within distress. The lowest level of the hierarchy was characterized by 15 factors. The hierarchical model predicted 60.1% of the variance in outcomes at 6-month follow-up, whereas all DSM eating, mood, and anxiety disorders combined predicted 35.8% of the variance in outcomes. DISCUSSION: A dimensional approach to understanding and diagnosing EDs improved the ability to prospectively predict clinical course above-and-beyond the traditional categorical (DSM-based) approach. Our findings have implications for endeavors to improve the prediction of ED prognosis and course, and to develop more effective trans-diagnostic treatments.

A Psychometric Evaluation of the Expanded Version of the Inventory of Depression and Anxiety Symptoms (IDAS-II) in Children and Adolescents.

The expanded version of the Inventory of Depression and Anxiety Symptoms (IDAS-II) is a self-report measure of 18 empirically derived internalizing symptom dimensions. The measure has shown good psychometric properties in adults but has never been evaluated in children and adolescents. A Swedish version of the IDAS-II was administered to 633 children and adolescents (Mage =16.6 [SD = 2.0]) and 203 adults (Mage = 35.4 [SD = 12.1]). The model/data fit of the 18-factor structure was excellent in both samples and measurement invariance across age groups was supported. All scales showed good to excellent internal consistency and psychometric properties replicated in the younger youth sample (< 16 years). Among youth, good convergent validity was established for all scales and divergent validity for most scales. The IDAS-II was better at identifying youth with current mental health problems than an internationally recommended scale of internalizing symptoms. In conclusion, the IDAS-II shows promise as a measure of internalizing symptoms in youth.

A General Factor of Psychopathology Predicts Treatment and Long-Term Outcomes in Children and Adolescents With Obsessive-Compulsive Disorder.

OBJECTIVE: Children and adolescents with obsessive-compulsive disorder (OCD) are at risk for long-term adversity, but factors influencing long-term outcomes are unclear. A general factor of psychopathology, often referred to as the p factor, captures variance shared by all mental disorders and has predicted long-term outcomes in youth with anxiety and depressive disorders. The p factor has never been examined in relation to outcomes in pediatric OCD. Here, we examine whether the p factor predicts 4 important outcomes over both short and long durations in youth with OCD. METHOD: We used data from the Nordic Long-term OCD Treatment Study (NordLOTS), in which youth with OCD (N = 248, mean age = 12.83 years [SD = 2.72], 51.6% girls) received exposure-based cognitive-behavioral therapy. The p factor was estimated using parent-reported Child Behavior Checklist data at baseline and was examined in relation to clinician-rated OCD severity, clinician-rated psychosocial functioning, self-reported depressive symptoms, and self- and parent-reported quality of life directly after treatment and 1, 2, and 3 years after treatment. RESULTS: The p factor was associated with acute treatment outcomes for OCD severity and psychosocial functioning, but not for depressive symptoms and quality of life. For the long-term outcomes, the p factor was significantly associated with all outcomes except OCD severity. The p factor outperformed traditional psychiatric comorbidity as a predictor of long-term outcomes. CONCLUSION: Youth with OCD who experience symptoms across multiple psychiatric domains have poorer long-term outcomes. Compared to traditional classification of psychiatric diagnoses, assessing psychopathology using a dimensional p factor approach may be advantageous for informing prognosis in pediatric OCD.

Reconceptualizing mental health in cancer survivorship.

Mental health for cancer survivors in both research and clinical applications has strongly adopted a traditional nosological approach, involving the classification of psychopathology into discrete disorders. However, this approach has recently faced considerable criticism due to issues such as high comorbidity and within-disorder symptom heterogeneity across populations. Moreover, there are additional specific issues impacting the validity of traditional approaches in cancer survivorship populations, including the physiological effects of cancer and its treatments. In response, we provide the case for the hierarchical dimensional approach within psycho-oncology, in particular the Hierarchical Taxonomy of Psychopathology (HiTOP). We discuss not only the potential utility of HiTOP to research and clinical applications within psycho-oncology, but also its limitations, and what is required to apply this approach within cancer survivorship.

Examining time-varying dynamics of co-occurring depressed mood and anxiety.

BACKGROUND: Dimensional frameworks of psychopathology call for multivariate approaches to map co-occurring disorders to index what symptoms emerge when and for whom. Ecological momentary assessment (EMA) offers a method for assessing and differentiating the dynamics of co-occurring symptoms with greater temporal granularity and naturalistic context. The present study used multivariate mixed effects location-scale modeling to characterize the time-varying dynamics of depressed mood and anxiety for women diagnosed with social anxiety disorder (SAD) and major depression (MDD). METHODS: Women completed five daily EMA surveys over 30 days (150 EMA surveys/woman, T ≈ 5250 total observations) and two clinical diagnostic and retrospective self-report measures administered approximately two months apart. RESULTS: There was evidence of same-symptom lagged effects (bs = 0.08-0.09), but not cross-symptom lagged effects (bs < 0.01) during EMA. Symptoms co-varied such that momentary spikes from one's typical level of anxiety were associated with increases in momentary depressed mood (b = 0.19) and greater variability of depressed mood (b = 0.06). Similarly, spikes from one's typical levels of depressed mood were associated with increases in momentary anxiety (b = 0.19). Furthermore, the presence and magnitude of effects demonstrated person-specific heterogeneity. LIMITATIONS: Our findings are constrained to the dynamics of depressed and anxious mood among cisgender women with primary SAD and current or past MDD. CONCLUSIONS: Findings from this work help to characterize how daily experiences of co-occurring mood and anxiety fluctuate and offer insight to aid the development of momentary, person-specific interventions designed to regulate symptom fluctuations.

Improving dependability in science: A critique on the psychometric qualities of the HiTOP psychosis superspectrum.

We reevaluated HiTOP's existing factor analytic evidence-base for a Psychosis (P) superspectrum as encompassing two psychosis-relevant subfactors ("spectra")-Thought Disorder (TD) and Detachment (D). We found that their data did not support P as a superspectrum with TD and D subfactors. Instead, TD contained both positive and negative symptoms of psychosis and emerged at the subfactor level. D did not target negative symptoms but, largely, disorders unrelated to psychosis and should not be placed under P. Determining if P is truly a superspectrum with psychosis TD and D subfactors will require factor analyses whose items are symptom-based and span the full range of psychopathology. Secondly, HiTOP authors state that TD and D provide a "nearly 2-fold" improvement in reliability over schizophrenia diagnoses but, after aligning the comparative study methodologies, this 2-fold improvement disappears. Finally, HiTOP's use of the term thought disorder is inconsistent with the ICD-11 and psychosis literature, in which it refers to formal thought disorder. We recommend that HiTOP (a) refer to P as a subfactor with positive and negative symptoms of psychosis until research indicates otherwise, (b) regularly rely on formal systematic reviews, (c) use appropriate reliability comparisons, (d) deconflate D with negative symptoms, and (e) rename TD.

Is it time to discard the Diagnostic and Statistical Manual of Mental Disorders (DSM) in psycho-oncology?

The conceptual basis of psychopathology within cancer survivorship is critical, as the chosen conceptualisation informs assessment and explanatory models, as well as interventions and supportive care approaches. The validity of a chosen conceptualisation of psychopathology is therefore paramount for ensuring cancer survivors receive high-quality and efficacious care and support that can be iteratively improved via coordinated research efforts. In this paper, we discuss the traditional diagnostic approach to conceptualising psychopathology within cancer care, including the diagnostic system the 'Diagnostic and Statistical Manual of Mental Disorders' (DSM) [1], and the significant issues it presents within cancer survivorship. We detail and discuss how an alternate conceptualisation of psychopathology may enhance both research and practice within psycho-oncology. We ultimately pose, and provide our perspective, on the question "Is it Time to Discard the DSM in Psycho-Oncology?"

Mapping Psychosis Risk States onto the Hierarchical Taxonomy of Psychopathology Using Hierarchical Symptom Dimensions.

Clinical high risk for psychosis (CHR) is a transdiagnostic risk state. However, it is unclear how risk states such as CHR fit within broad transdiagnostic models such as the Hierarchical Taxonomy of Psychopathology (HiTOP). In this study, a hierarchical dimensional symptom structure was defined by unfolding factor analysis of self-report data from 3,460 young adults (mage=20.3). A subsample (n=436) completed clinical interviews, 85 of whom met CHR criteria. Regression models examined relationships between symptom dimensions, CHR status, and clinician-rated symptoms. CHR status was best explained by a reality distortion dimension, with contributions from internalizing dimensions. Positive and negative attenuated psychotic symptoms were best explained by multiple psychotic and nonpsychotic symptom dimensions including reality distortion, distress, fear, detachment, and mania. Attenuated psychotic symptoms are a complex presenting problem warranting comprehensive assessment. HiTOP can provide both diagnostic precision and broad transdiagnostic coverage, making it a valuable resource for use with at-risk individuals.

Posttraumatic stress and depression symptom classes in parents of trauma-exposed children: a transdiagnostic perspective using pooled individual participant data.

Background: In the aftermath of child trauma, post-traumatic stress (PTS) and depression symptoms often co-occur among trauma exposed children and their parents. Studies have used latent class analysis (LCA) to examine PTS and depression symptoms and identify homogeneous subgroups among trauma exposed children. However, little is known about subgroups or classes of PTS and depression reactions of parents of traumatised children.Objectives: (1) Determine PTS and depression symptom classes at 2-9 months post-trauma, and (2) to examine sociodemographic covariates among parents of trauma exposed children.Methods: Using harmonised individual participant data (n = 702) from eight studies (Australia, UK, US) included in the Prospective studies of Acute Child Trauma and Recovery Data Archive (PACT/R), we modelled these phenomena at the symptom level using LCA.Results: Our LCA yielded three solutions: 'high internalizing symptom' class (11%); 'low PTS-high depression' class (17%); and 'low internalizing symptom' class (72%). Parents of children in the 'low PTS-high depression' class were more likely to have children of older age and be part of an ethnic minority, compared to the 'low internalizing symptoms' class. Mothers were more likely to be in the 'high internalizing symptom' class compared to the 'low internalizing symptoms' class.Conclusions: These findings reveal a qualitative structure and relationship between depression and PTS symptoms that highlights the importance of assessing and targeting a broad range of internalising symptoms in post-trauma psychological treatment.

Using harmonised individual participant data from eight studies included in the Prospective studies of Acute Child Trauma and Recovery (PACT/R) Data Archive we identified three distinct classes of parental internalising reactions using Latent Class Analysis.Mothers, family ethnic minority status, and children of older age were associated with distinct classes of problematic symptoms.The findings from the present study highlight the need for assessing and targeting a broad range of internalising symptoms after trauma, and that mothers, parents of older children and families with ethnic minority status might be at risk for elevated symptoms.