Is there a general factor of prevalent psychopathology during adulthood?

Structure of internalizing and externalizing symptoms in early adolescence: A comparison of a bifactor and a two-factor model over time and across reporters

Psychopathology assessed across the lifespan often can be summarized with a few broad dimensions: internalizing, externalizing, and psychosis/thought disorder. Extensive overlap between internalizing and externalizing symptoms has garnered interest in bifactor models comprised of a general co-occurring factor and specific internalizing and externalizing factors. We focus on internalizing and externalizing symptoms and compare a bifactor model to a correlated two-factor model of psychopathology at three timepoints in a large adolescent community sample (N = 387; 55 % female; 83% Caucasian; M age = 12.1 at wave 1) using self- and parent-reports. Each model was tested within each time-point with 25-28 validators. The bifactor models demonstrated better fit to the data. Child report had stronger invariance across time. Parent report had stronger reliability over time. Cross-informant correlations between the factors at each wave indicated that the bifactor model had slightly poorer convergent validity but stronger discriminant validity than the two-factor model. With notable exceptions, this pattern of results replicated across informants and waves. The overlap between internalizing and externalizing pathology is systematically and, sometimes, non-linearly related to risk factors and maladaptive outcomes. Strengths and weaknesses to modeling psychopathology as two or three factors and clinical and developmental design implications are discussed.

Disruption of Epistemic Trust in Borderline Personality Disorder: A Possible Adaptation to Avoid Making Costly Mistakes

This paper applies error management theory (EMT) (Haselton and Buss 2000) to explore how disruptions in epistemic trust-trust in communicated information-can be understood as adaptive responses to early adversity in individuals with borderline personality disorder (BPD). I propose that epistemic mistrust (EM) and epistemic credulity (EC), characterized by inappropriate trust patterns, arise from the differential costs of trusting unreliable versus mistrusting reliable information. Although these biases may seem maladaptive, they function as evolutionary survival mechanisms in response to harsh environments. Signal detection analysis can provide empirical evidence for these trust biases by assessing how individuals with BPD make trust-related decisions. Clinically, understanding these biases as evolutionary adaptations helps reduce stigma and informs evolutionary-informed interventions to recalibrate trust responses and improve interpersonal relationships. This approach highlights the significance of integrating evolutionary perspectives in treating trust disturbances in BPD.

Constructs across a hierarchical, dimensional model of psychopathology show differential associations with social and general cognitive ability

Many psychiatric disorders and associated psychopathology dimensions are related to social cognitive deficits and reduced general cognitive ability. The current study applied a hierarchical, dimensional approach to better understand associations among psychopathology, social cognition, and general cognitive ability. Data were collected from two samples (n = 653), including psychosis-spectrum patients, their first-degree relatives, and individuals from community sources. Participants completed dimensional psychopathology measures and social cognition tasks (e.g., emotion perception and mentalizing). Data were analyzed using bi-factor exploratory structural equation modeling. Detachment-a psychopathology dimension conceptually linked to social functioning-was associated with worse social cognition, independent of general cognitive ability. Eccentricity and Machiavellianism were associated with better social cognition and general cognitive ability. Findings-and the hierarchical, dimensional approach employed-will be useful in informing future research on and interventions for social dysfunction.

Examining longitudinal associations between interpersonal outcomes and general psychopathology factors across preadolescence using random intercept cross-lagged panel model

BACKGROUND

Interpersonal outcomes and mental health problems are closely associated. However, their reciprocal influence has not been directly examined while considering the temporal stability of these constructs, as well as shared and unique variance associated with internalising, externalising and attention problems. Using random intercept cross-lagged panel models (RI-CLPM), we tested the hypotheses that negative bidirectional associations at the between-person and negative cross-lagged effects at the within-person level would emerge between interpersonal outcomes (friendship quality and perceived popularity) and mental health problems (i.e. general psychopathology factor) during preadolescence.

METHODS

Participants (n = 918) were from the NICHD Study of Early Child Care and Youth Development. Psychopathology, consisting of a general psychopathology factor (p-factor) and three specific factors (internalising, externalising and attention problems), was derived from mother-reported Child Behaviour Checklist symptoms. Friendship quality was assessed using the self-reported Friendship Quality Questionnaire. Popularity was assessed using teacher-reported popularity ranking. Four RI-CLPM were estimated to examine the associations between interpersonal outcomes and psychopathology at between- and within-person levels across four timepoints (mean ages 8-11).

RESULTS

At the between-person level, popularity scores, but not friendship quality, were negatively associated with p-factor scores (β = -.33). At the within-person level, we found (i) p-factor scores at age 9 negatively predicted friendship quality and popularity at age 10, but not at other ages (β = -.16 to -.19); (ii) specific externalising factor scores at age 10 negatively predicted friendship quality at age 11 (β = -.10) and specific internalising factor scores at ages 8 and 9 positively predicted friendship quality at ages 9 and 10 (β = .09-.12) and (iii) popularity at age 10 negatively predicted specific internalising factor scores at age 11 (β = -.12).

CONCLUSIONS

Psychopathology was found to influence interpersonal outcomes during preadolescence, while the reverse effects were less readily observed, once between-person level effects were accounted for.

Research Review: A review of the past decade of family and genomic studies on adolescent mental health

BACKGROUND

Mental health problems and traits capturing psychopathology are common and often begin during adolescence. Decades of twin studies indicate that genetic factors explain around 50% of individual differences in adolescent psychopathology. In recent years, significant advances, particularly in genomics, have moved this work towards more translational findings.

METHODS

This review provides an overview of the past decade of genetically sensitive studies on adolescent development, covering both family and genomic studies in adolescents aged 10-24 years. We focus on five research themes: (1) co-occurrence or comorbidity between psychopathologies, (2) stability and change over time, (3) intergenerational transmission, (4) gene-environment interplay, and (5) psychological treatment outcomes.

RESULTS

First, research shows that much of the co-occurrence of psychopathologies in adolescence is explained by genetic factors, with widespread pleiotropic influences on many traits. Second, stability in psychopathology across adolescence is largely explained by persistent genetic influences, whereas change is explained by emerging genetic and environmental influences. Third, contemporary twin-family studies suggest that different co-occurring genetic and environmental mechanisms may account for the intergenerational transmission of psychopathology, with some differences across psychopathologies. Fourth, genetic influences on adolescent psychopathology are correlated with a wide range of environmental exposures. However, the extent to which genetic factors interact with the environment remains unclear, as findings from both twin and genomic studies are inconsistent. Finally, a few studies suggest that genetic factors may play a role in psychological treatment response, but these findings have not yet been replicated.

CONCLUSIONS

Genetically sensitive research on adolescent psychopathology has progressed significantly in the past decade, with family and twin findings starting to be replicated at the genomic level. However, important gaps remain in the literature, and we conclude by providing suggestions of research questions that still need to be addressed.

Exploring the p-Factor in Adolescence: A Bifactor Exploratory Structural Equation Modeling Approach and Its Association With Emerging Personality Pathology

INTRODUCTION

To account for the limitations of categorical taxonomies, a general psychopathology factor (p-factor) has been proposed as a transdiagnostic dimension that captures the shared variance across various forms of psychopathology. However, further research is required to clarify the specific characteristics that define the p-factor, particularly in adolescence - a period marked by heightened vulnerability to psychological disorders and significant developmental changes.

METHODS

This study utilized a sample of 1366 cisgender adolescents (56% assigned female at birth, Mage = 16.25, SD = 1.44) to examine the structure of the p-factor using Bifactor Exploratory Structural Equation Modeling. The study also explored the association between the p-factor and emerging personality pathology, focusing on self and interpersonal dimensions.

RESULTS

The p-factor was characterized by items reflecting negative affectivity, emotional dysregulation, and behavioral problems. Greater difficulties in self-related (e.g., sense of self, self-acceptance, and goals) and interpersonal dimensions (e.g., family relationships, aggression, and sexuality) were associated with higher levels of general psychopathology. A small but significant negative association was found between the quality of peer relationships and the p-factor, suggesting a potential protective role of friendships.

CONCLUSIONS

The study highlights the multifaceted nature of the p-factor, confirming its relevance in capturing general psychological maladjustment during adolescence. The p-factor demonstrated a double-edged nature, encapsulating externalizing (e.g., impulsive behaviors, aggression) and internalizing symptoms (e.g., feelings of inadequacy and guilt). These findings provide insights into the interplay between general psychopathology and personality pathology, supporting a model that integrates self and interpersonal dimensions to understand adolescent psychopathology.

Multimodal neural correlates of childhood psychopathology

Complex structural and functional changes occurring in typical and atypical development necessitate multidimensional approaches to better understand the risk of developing psychopathology. Here, we simultaneously examined structural and functional brain network patterns in relation to dimensions of psychopathology in the Adolescent Brain Cognitive Development (ABCD) dataset. Several components were identified, recapitulating the psychopathology hierarchy, with the general psychopathology (p) factor explaining most covariance with multimodal imaging features, while the internalizing, externalizing, and neurodevelopmental dimensions were each associated with distinct morphological and functional connectivity signatures. Connectivity signatures associated with the p factor and neurodevelopmental dimensions followed the sensory-to-transmodal axis of cortical organization, which is related to the emergence of complex cognition and risk for psychopathology. Results were consistent in two separate data subsamples and robust to variations in analytical parameters. Although model parameters yielded statistically significant brain-behavior associations in unseen data, generalizability of the model was rather limited for all three latent components (r change from within- to out-of-sample statistics: LC1within = 0.36, LC1out = 0.03; LC2within = 0.34, LC2out = 0.05; LC3within = 0.35, LC3out = 0.07). Our findings help in better understanding biological mechanisms underpinning dimensions of psychopathology, and could provide brain-based vulnerability markers.

Non-random mating patterns within and across education and mental and somatic health

Partners resemble each other in health and education, but studies usually examine one trait at a time in established couples. Using data from all Norwegian first-time parents (N = 187,926) between 2016-2020, we analyse grade point average at age 16, educational attainment, and medical records of 10 mental and 10 somatic health conditions measured 10 to 5 years before childbirth. We find stronger partner similarity in mental (median r = 0.14) than in somatic health conditions (median r = 0.04), with ubiquitous cross-trait correlations in mental health (median r = 0.13). High grade point average or education is associated with better partner mental (median r = -0.16) and somatic (median r = -0.08) health. Elevated mental health correlations (median r = 0.25) in established couples indicate convergence. Analyses of siblings and in-laws suggest that health similarity is influenced by indirect assortment based on related traits. Adjusting for grade point average or education reduces partner health correlations by 30-40%. These findings have implications for the distribution of risk factors among children, genetic studies, and intergenerational transmission.

Differential Mapping of Psychopathic Traits and General Psychopathology in a Large Young Adult Sample

Psychopathy is a personality disorder characterized by affective-interpersonal features and an impulsive-antisocial lifestyle. Psychopathy commonly co-occurs with other forms of psychopathology, but current understanding of how behavioral features of psychopathy co-occur with, or are distinct from, other mental health problems is limited. In this study, we analysed data from a large sample of young adults to study the relationship between different facets of psychopathic traits and general psychopathology ("p"). Data were collected between 2010 and 2016 and included 1,324 U.S. undergraduate students (Mage = 19.7 years; 57% female). Linear regression models revealed that the antisocial facet of psychopathy was distinct from p, while the lifestyle facet was correlated with p and externalizing behavior. Interpersonal and affective facets were correlated with internalizing behaviors. Collectively, these findings suggest that psychopathic traits of severe, premeditated antisocial behavior are distinct from general psychopathology, whereas impulsive and uninhibited lifestyle traits are a shared feature of psychopathology.

The future of neuroscience in developmental psychopathology

Developmental psychopathology started as an intersection of fields and is now a field itself. As we contemplate the future of this field, we consider the ways in which a newer, interdisciplinary field - human developmental neuroscience - can inform, and be informed by, developmental psychopathology. To do so, we outline principles of developmental psychopathology and how they are and/or can be implemented in developmental neuroscience. In turn, we highlight how the collaboration between these fields can lead to richer models and more impactful translation. In doing so, we describe the ways in which models from developmental psychopathology can enrich developmental neuroscience and future directions for developmental psychopathology.

Individualized gray matter morphological abnormalities uncover two robust transdiagnostic biotypes

Psychiatric disorders exhibit a shared neuropathology, yet the diverse presentations among patients necessitate the identification of transdiagnostic subtypes to enhance diagnostic and treatment strategies. This study aims to unveil potential transdiagnostic subtypes based on personalized gray matter morphological abnormalities. A total of 496 patients with psychiatric disorders and 255 healthy controls (HCs) from three distinct datasets (one for discovery and two for validation) were enrolled. Individualized gray matter morphological abnormalities were determined using normative modeling to identify transdiagnostic subtypes. In the discovery dataset, two transdiagnostic subtypes with contrasting patterns of structural abnormalities compared to HCs were identified. Reproducibility and generalizability analyses demonstrated that these subtypes could be generalized to new patients and even to new disorders in the validation datasets. These subtypes were characterized by distinct disease epicenters. The gray matter abnormal pattern in subtype 1 was mainly linked to excitatory receptors, whereas subtype 2 showed a predominant association with inhibitory receptors. Furthermore, we observed that the gray matter abnormal pattern in subtype 2 was correlated with transcriptional profiles of inflammation-related genes, while subtype 1 did not show this association. Our findings reveal two robust transdiagnostic biotypes, offering novel insights into psychiatric nosology.

The General Psychopathology 'p' Factor in Adolescence: Multi-Informant Assessment and Computerized Adaptive Testing

Accumulating evidence supports the presence of a general psychopathology dimension, the p factor ('p'). Despite growing interest in the p factor, questions remain about how p is assessed. Although multi-informant assessment of psychopathology is commonplace in clinical research and practice with children and adolescents, almost no research has taken a multi-informant approach to studying youth p or has examined the degree of concordance between parent and youth reports. Further, estimating p requires assessment of a large number of symptoms, resulting in high reporter burden that may not be feasible in many clinical and research settings. In the present study, we used bifactor multidimensional item response theory models to estimate parent- and adolescent-reported p in a large community sample of youth (11-17 years) and parents (N = 5,060 dyads). We examined agreement between parent and youth p scores and associations with assessor-rated youth global functioning. We also applied computerized adaptive testing (CAT) simulations to parent and youth reports to determine whether adaptive testing substantially alters agreement on p or associations with youth global functioning. Parent-youth agreement on p was moderate (r =.44) and both reports were negatively associated with youth global functioning. Notably, 7 out of 10 of the highest loading items were common across reporters. CAT reduced the average number of items administered by 57%. Agreement between CAT-derived p scores was similar to the full form (r =.40) and CAT scores were negatively correlated with youth functioning. These novel results highlight the promise and potential clinical utility of a multi-informant p factor approach.

Distal-to-proximal etiologically relevant variables associated with the general (p) and specific factors of psychopathology

BACKGROUND

The general factor of psychopathology, often denoted as p, captures the common variance among a broad range of psychiatric symptoms. Specific factors are co-modeled based on subsets of closely related symptoms. This paper investigated the extent to which wide-ranging genetic, personal, and environmental etiologically relevant variables are associated with p and specific psychopathology factors.

METHODS

Using data from four waves (ages 11-19) of TRAILS, we modeled a bifactor model of p and four specific factors [internalizing, externalizing, ADHD, Autism Spectrum Disorder (ASD)]. Next, we examined the associations of 19 etiologically relevant variables with these psychology factors using path models that organized the variables according to the distal-to-proximal risk principle.

RESULTS

Collectively, the etiologically relevant factors, including temperament traits, accounted for 55% of p's variance, 46% in ADHD, 35% in externalizing, 19% in internalizing, and 7% in ASD. The low 7% is due to insufficient unique variance in ASD indicators that load more strongly on p. Excluding temperament, variables accounted for 29% variance in p, 9% ADHD, 14% EXT, 7% INT, and 4% ASD. Most etiologically relevant factors were generic, predicting p. In addition, we identified effects on specific factors in addition to effects on p (e.g., parental SES, executive functioning); only effects on specific factors (e.g., parental rejection); opposite effects on different factors [e.g., diurnal cortisol (high INT but low EXT, p); developmental delay (high ASD and p but low EXT)]. Frustration, family functioning, parental psychopathology, executive functioning, and fearfulness had strong effects on p.

CONCLUSIONS

(1) Strong generic effects on p suggest that etiologically relevant factors and psychopathology tend to cluster in persons. (2) While many factors predict p, additional as well as opposite effects on specific factors indicate the relevance of specific psychopathology factors in understanding mental disorder. (3) High frustration, neurodevelopmental problems, and a disadvantaged family environment primarily characterize p.

Exploring the genetic etiology across the continuum of the general psychopathology factor: a Swedish population-based family and twin study

Psychiatric comorbidity can be accounted for by a latent general psychopathology factor (p factor), which quantifies the variance that is shared to varying degrees by every dimension of psychopathology. It is unclear whether the entire continuum of the p factor shares the same genetic origin. We investigated whether mild, moderate, and extreme elevations on the p factor shared the same genetic etiology by, first, examining the linearity of the association between p factors across siblings (N = 580,891 pairs). Second, we estimated the group heritability in a twin sample (N = 17,170 pairs), which involves testing whether the same genetic variants influence both extreme and normal variations in the p factor. In both samples, the p factor was based on 10 register-based psychiatric diagnoses. Results showed that the association between siblings' p factors appeared linear, even into the extreme range. Likewise, the twin group heritabilities ranged from 0.42 to 0.45 (95% CI: 0.33-0.57) depending on the thresholds defining the probands (2-3.33 SD beyond the mean; >2 SD beyond the mean; >4.33 SD beyond the mean; and >5.33 SD beyond the mean), and these estimates were highly similar to the estimated individual differences heritability (0.41, 95% CI: 0.39-0.43), indicating that scores above and below these thresholds shared a common genetic origin. Together, these results suggest that the entire continuum of the p factor shares the same genetic origin, with common genetic variants likely playing an important role. This implies, first, genetic risk factors for the aspect that is shared between all forms of psychopathology (i.e., genetic risk factors for the p factor) might be generalizable between population-based cohorts with a higher prevalence of milder cases, and clinical samples with a preponderance of more severe cases. Second, prioritizing low-cost genome-wide association studies capable of identifying common genetic variants, rather than expensive whole genome sequencing that can identify rare variants, may increase the efficiency when studying the genetic architecture of the p factor.

Age-Related Variations of Genetic and Environmental Contributions to the Covariation of Fear, Distress and Externalizing Symptoms: A Twin Study in Childhood and Adolescence

The frequency with which Internalizing and Externalizing symptoms co-occur suggests that, behind both domains, there may be a common susceptibility represented by a general psychopathology factor. However, it's still unclear whether this common susceptibility is affected by age-related variations. Internalizing (i.e., Fear and Distress) and Externalizing symptoms were evaluated in 803 twin pairs from the population-based Italian Twin Registry. Model-fitting analysis was performed separately in the 6-14 and 15-18 age groups to estimate genetic and environmental contributions to the covariance among symptoms. For the 6-14 group, a multivariate Cholesky model best fitted the data, while, for the 15-18 group, the best fit was provided by a Common Pathway model in which nearly 50% of total variance of each trait was mediated by common genetic factors. Our findings support a common susceptibility behind Internalizing and Externalizing symptoms, mainly genetic in origin, that becomes more evident at the beginning of puberty.

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.

general psychopathology factor in Chinese adolescents and its correlation with trans-diagnostic protective psycho-social factors

BACKGROUND

Comorbidity in mental disorders is prevalent among adolescents, with evidence suggesting a general psychopathology factor ("p" factor) that reflects shared mechanisms across different disorders. However, the association between the "p" factor and protective factors remains understudied. The current study aimed to explore the "p" factor, and its associations with psycho-social functioning, in Chinese adolescents.

METHODS

2052 students, aged 9-17, were recruited from primary and secondary schools in Shanghai, China. Multiple rating scales were used to assess psychological symptoms and psycho-social functioning. Confirmatory factor analysis was conducted to verify the fit of models involving different psychopathology domains such as externalizing, internalizing, and the "p" factor. Subsequently, structural equation models were used to explore associations between the extracted factors and psycho-social functioning, including emotion regulation, mindful attention awareness, self-esteem, self-efficacy, resilience, and perceived support.

RESULTS

The bi-factor model demonstrated a good fit, with a "p" factor accounting for 46 % of symptom variation, indicating that the psychological symptoms of Chinese adolescents could be explained by internalizing, externalizing, and the "p" factor. Psychologically, a higher "p" was positively correlated with emotion suppression and negatively correlated with mindful attention awareness, emotion reappraisal, self-esteem, and resilience. Socially, a higher "p" was associated with decreased perceived support.

LIMITATIONS

Only common symptoms were included as this study was conducted at school. Furthermore, the cross-sectional design limited our ability to investigate causal relationships.

CONCLUSIONS

A "p" factor exists among Chinese adolescents. Individuals with higher "p" factor levels were prone to experience lower levels of psycho-social functions.

The relationship between general psychopathology in young people with family functioning and engagement with psychotherapy

OBJECTIVE

to examine whether an underlying general psychopathology factor (p factor) existed in children and adolescents attending psychodynamic psychotherapy and whether this general psychopathology factor was associated with family functioning and engagement with psychotherapy.

METHOD

Participants were 1976 children and adolescents, and their families, who sought psychodynamic psychotherapy from a community-based clinic in Southern Brazil. The Child Behavior Checklist and the Family Adaptability and Cohesion Evaluation Scales for assessing symptoms and family functioning were used, with treatment engagement data available through linked records. Confirmatory factor analytic methods examined psychopathology and regression models were constructed to examine associations.

RESULTS

A general psychopathology factor and specific internalizing and externalizing factors were identified. Higher general psychopathology scores at assessment were associated with an increased likelihood of dropout and poorer attendance compared to completing treatment. Father's educational level, living with both parents, lack of family adaptability and cohesion, and maltreatment experience were related to increased p factor severity.

CONCLUSION

General psychopathology severity seems to contribute to child and adolescent psychotherapy outcomes, increasing the risk of non-adherence and dropout. Family difficulties and traumatic experiences may increase p factor severity. Identifying general psychopathology routinely can be crucial for developing effective treatment plans.

MULTIMODAL NEURAL CORRELATES OF CHILDHOOD PSYCHOPATHOLOGY

Complex structural and functional changes occurring in typical and atypical development necessitate multidimensional approaches to better understand the risk of developing psychopathology. Here, we simultaneously examined structural and functional brain network patterns in relation to dimensions of psychopathology in the Adolescent Brain Cognitive Development dataset. Several components were identified, recapitulating the psychopathology hierarchy, with the general psychopathology (p) factor explaining most covariance with multimodal imaging features, while the internalizing, externalizing, and neurodevelopmental dimensions were each associated with distinct morphological and functional connectivity signatures. Connectivity signatures associated with the p factor and neurodevelopmental dimensions followed the sensory-to-transmodal axis of cortical organization, which is related to the emergence of complex cognition and risk for psychopathology. Results were consistent in two separate data subsamples, supporting generalizability, and robust to variations in analytical parameters. Our findings help in better understanding biological mechanisms underpinning dimensions of psychopathology, and could provide brain-based vulnerability markers.

Understanding psychotic-like experiences in children in the context of dimensions of psychological problems

Introduction

Although psychotic behaviors can be difficult to assess in children, early identification of children at high risk for the emergence of psychotic symptoms may facilitate the prevention of related disorders. Psychotic-like experiences (PLEs), or subthreshold thought and perceptual disturbances, could be early manifestations of psychosis that may predict a future diagnosis of a psychosis-related disorder or nonspecific correlates of a wide range of psychological problems. Additional research is needed regarding how PLEs map onto dimensions of psychopathology in children.

Methods

In the present study, we examined the association between PLEs and general and specific dimensions of psychological problems in a sample of 10,692 children from the Adolescent Brain Cognitive Development Study (ABCD Study).

Results

The results of this study showed that self-reported PLEs were associated with a general psychopathology factor and an ADHD factor, which were defined in hierarchical models of parent-rated psychological problems.

Discussion

These findings suggest that PLEs are broadly associated with a wide range of psychological problems through the general psychopathology factor even before psychotic disorders typically manifest. This study supports the need for longitudinal analyses of future waves of the ABCD Study to determine if PLEs can detect children at high risk for serious psychological problems in adulthood.

Genetic Architectures of Adolescent Depression Trajectories in 2 Longitudinal Population Cohorts

Importance

Adolescent depression is characterized by diverse symptom trajectories over time and has a strong genetic influence. Research has determined genetic overlap between depression and other psychiatric conditions; investigating the shared genetic architecture of heterogeneous depression trajectories is crucial for understanding disease etiology, prediction, and early intervention.

Objective

To investigate univariate and multivariate genetic risk for adolescent depression trajectories and assess generalizability across ancestries.

Design, Setting, and Participants

This cohort study entailed longitudinal growth modeling followed by polygenic risk score (PRS) association testing for individual and multitrait genetic models. Two longitudinal cohorts from the US and UK were used: the Adolescent Brain and Cognitive Development (ABCD; N = 11 876) study and the Avon Longitudinal Study of Parents and Children (ALSPAC; N = 8787) study. Included were adolescents with genetic information and depression measures at up to 8 and 4 occasions, respectively. Study data were analyzed January to July 2023.

Main Outcomes and Measures

Trajectories were derived from growth mixture modeling of longitudinal depression symptoms. PRSs were computed for depression, anxiety, neuroticism, bipolar disorder, schizophrenia, attention-deficit/hyperactivity disorder, and autism in European ancestry. Genomic structural equation modeling was used to build multitrait genetic models of psychopathology followed by multitrait PRS. Depression PRSs were computed in African, East Asian, and Hispanic ancestries in the ABCD cohort only. Association testing was performed between all PRSs and trajectories for both cohorts.

Results

A total sample size of 14 112 adolescents (at baseline: mean [SD] age, 10.5 [0.5] years; 7269 male sex [52%]) from both cohorts were included in this analysis. Distinct depression trajectories (stable low, adolescent persistent, increasing, and decreasing) were replicated in the ALSPAC cohort (6096 participants; 3091 female [51%]) and ABCD cohort (8016 participants; 4274 male [53%]) between ages 10 and 17 years. Most univariate PRSs showed significant uniform associations with persistent trajectories, but fewer were significantly associated with intermediate (increasing and decreasing) trajectories. Multitrait PRSs-derived from a hierarchical factor model-showed the strongest associations for persistent trajectories (ABCD cohort: OR, 1.46; 95% CI, 1.26-1.68; ALSPAC cohort: OR, 1.34; 95% CI, 1.20-1.49), surpassing the effect size of univariate PRS in both cohorts. Multitrait PRSs were associated with intermediate trajectories but to a lesser extent (ABCD cohort: hierarchical increasing, OR, 1.27; 95% CI, 1.13-1.43; decreasing, OR, 1.23; 95% CI, 1.09-1.40; ALSPAC cohort: hierarchical increasing, OR, 1.16; 95% CI, 1.04-1.28; decreasing, OR, 1.32; 95% CI, 1.18-1.47). Transancestral genetic risk for depression showed no evidence for association with trajectories.

Conclusions and Relevance

Results of this cohort study revealed a high multitrait genetic loading of persistent symptom trajectories, consistent across traits and cohorts. Variability in univariate genetic association with intermediate trajectories may stem from environmental factors. Multitrait genetics may strengthen depression prediction models, but more diverse data are needed for generalizability.

Preliminary Validation of a General Factor Model of Chronic Overlapping Pain Conditions

Chronic overlapping pain conditions (COPCs) by definition, frequently co-occur, perhaps reflecting their shared etiologies. Their overlapping nature presents a methodological challenge, possibly masking associations between COPCs and health outcomes attributable to either general or specific processes. To address this challenge, we used population-based cohort data to evaluate the predictive validity of a bifactor model of 9 self-reported COPCs by assessing its association with incident pain-related clinical diagnoses; pain-relevant pharmacotherapy; and other health outcomes. We obtained data from a 2005 to 2006 study of Swedish adult twins linked with health data from nationwide registers through 2016 (N = 25,418). We then fit a bifactor model comprising a general COPC factor and 2 independent specific factors measuring pain-related somatic symptoms and neck and shoulder pain. Accounting for age, biological sex, and cancer, the general factor was associated with increased risk of all pain-related outcomes (eg, COPC diagnosis adjusted odds ratio [aOR], 1.71; 95% confidence interval [1.62, 1.81]), most mental health-related outcomes (eg, depression aOR, 1.72 [1.60, 1.85]), and overdose and mortality (eg, all-cause mortality aOR, 1.25 [1.09, 1.43]). The somatic symptoms specific factor was associated with pain-relevant pharmacotherapy (eg, prescribed opioids aOR, 1.25 [1.15, 1.36]), most mental health-related outcomes (eg, depression aOR, 1.95 [1.70, 2.23]), and overdose (eg, nonfatal overdose aOR, 1.66 [1.31, 2.10]). The neck and shoulder pain-specific factor was weakly and inconsistently associated with the outcomes. Findings provide initial support for the validity and utility of a general-factor model of COPCs as a tool to strengthen understanding of co-occurrence, etiology, and consequences of chronic pain. PERSPECTIVE: This article presents associations between a novel measurement model of COPCs and various health outcomes. Findings provide support for measuring pain across multiple domains rather than only measuring pain specific to one physical location in both research and clinical contexts.

How a general vulnerability for psychopathology during adolescence manifests in young adults' daily lives

BACKGROUND

There is widespread interest in the general factor of psychopathology or 'p factor', which has been proposed to reflect vulnerability to psychopathology. We examined to what extent this 'vulnerability' is associated with dysregulations in affect and behavior that occur in daily life. As such we hoped to provide an account of how this vulnerability may be maintained.

METHODS

We used data from the Tracking Adolescents' Individual Lives Survey (TRAILS; N = 2,772) collected at ages 11, 14, 16, 19, and 22 years to fit a bifactor model with a general psychopathology factor, alongside internalizing, externalizing (EXT), attention-deficit/hyperactivity, and autism spectrum problem domains. Following the fifth TRAILS assessment, a subsample of participants (n = 133, age = 22.6, 43% women) with heightened risk for psychopathology completed a 6-month daily diary protocol with one assessment each day. Using a dynamic structural equation approach, we examined to what extent mean intensity, variability, inertia, and within-day co-occurrence of EXT, anxious-tense, and depressed-withdrawn affects and behaviors were associated with general factor scores.

RESULTS

Unexpectedly, higher general factor scores were not associated with higher mean intensity of any of the three types of daily negative affects and behaviors, but were associated with higher variability and less carryover (inertia) EXT affects and behaviors.

CONCLUSIONS

We showed that individual differences in general factor scores do not manifest as differences in average levels of daily affects and behaviors, but instead were related to a type of EXT reactivity to the environment. Future research is necessary to investigate whether reactive irritable moods may be involved in or signal vulnerability sustained psychopathology.

Domain-specific associations between psychopathology and neurocognitive functioning

BACKGROUND

Neurocognitive dysfunction is a transdiagnostic finding in psychopathology, but relationships among cognitive domains and general and specific psychopathology dimensions remain unclear. This study aimed to examine associations between cognition and psychopathology dimensions in a large youth cohort.

METHOD

The sample (N = 9350; age 8-21 years) was drawn from the Philadelphia Neurodevelopmental Cohort. Data from structured clinical interviews were modeled using bifactor confirmatory factor analysis (CFA), resulting in an overall psychopathology ('p') factor score and six orthogonal psychopathology dimensions: dysphoria/distress, obsessive-compulsive, behavioral/externalizing, attention-deficit/hyperactivity, phobias, and psychosis. Neurocognitive data were aggregated using correlated-traits CFA into five factors: executive functioning, memory, complex cognition, social cognition, and sensorimotor speed. We examined relationships among specific and general psychopathology dimensions and neurocognitive factors.

RESULTS

The final model showed both overall and specific associations between cognitive functioning and psychopathology, with acceptable fit (CFI = 0.91; TLI = 0.90; RMSEA = 0.024; SRMR = 0.054). Overall psychopathology and most psychopathology dimensions were negatively associated with neurocognitive functioning (phobias [p < 0.0005], behavioral/externalizing [p < 0.0005], attention-deficit/hyperactivity [p < 0.0005], psychosis [p < 0.0005 to p < 0.05]), except for dysphoria/distress and obsessive-compulsive symptoms, which were positively associated with complex cognition (p < 0.05 and p < 0.01, respectively).

CONCLUSION

By modeling a broad range of cognitive and psychopathology domains in a large, diverse sample of youth, we found aspects of neurocognitive functioning shared across clinical phenotypes, as well as domain-specific patterns. Findings support transdiagnostic examination of cognitive performance to parse variability in the link between neurocognitive functioning and clinical phenotypes.

The complexity of treatment-resistant depression: A data-driven approach

BACKGROUND

Recent systematic reviews highlight great variability in defining and assessing treatment-resistant depression (TRD). A key problem is that definitions are consensus rather than data-led. This study seeks to offer a comprehensive socio-demographic and clinical description of a relevant sample.

METHODS

As part of a pragmatic randomized controlled trial, patients (N = 129) were managed in primary care for persistent depression and diagnosed with TRD. Data included previous treatment attempts, characteristics of the depressive illness, functioning, quality of life, co-occurring problems including suicidality, psychiatric and personality disorders, physical health conditions, and adverse events.

RESULTS

Findings show a severe and chronic course of depression with a duration of illness of 25+ years. Overall, 82.9 % had at least one other psychiatric diagnosis and 82.2 % at least one personality disorder; 69.8 % had significant musculoskeletal, gastrointestinal, genitourinary, or cardiovascular and respiratory physical health problems. All but 14 had severe difficulties in social and occupational functioning and reported severely impaired quality of life. Suicidal ideation was high: 44.9 % had made at least one serious suicide attempt and several reported multiple attempts with 17.8 % reporting a suicide attempt during childhood or adolescence. Of the patients, 79.8 % reported at least one adverse childhood experience.

LIMITATIONS

Potential for recall bias, not examining possible interactions, and absence of a control group.

CONCLUSIONS

Our findings reveal a complex and multifaceted condition and call for an urgent reconceptualization of TRD, which encompasses many interdependent variables and experiences. Individuals with TRD may be at a serious disadvantage in terms of receiving adequate treatment.

Non-random Mating Patterns in Education, Mental, and Somatic Health: A Population Study on Within- and Cross-Trait Associations

Partners resemble each other on many traits, such as health and education. The traits are usually studied one by one in data from established couples and with potential participation bias. We studied all Norwegian parents who had their first child between 2016 and 2020 (N=187,926) and the siblings of these parents. We analysed grade point averages at age 16 (GPA), educational attainment (EA), and medical records with diagnostic data on 10 mental and 10 somatic health conditions measured 10 to 5 years before childbirth. We found stronger partner similarity in mental (median r=0.14) than in somatic health conditions (median r=0.04), with ubiquitous cross-trait correlations for mental health conditions (median r=0.13). GPA correlated 0.43 and EA 0.47 between partners. High GPA or EA was associated with better mental (median r=-0.16) and somatic (median r=-0.08) health in partners. Elevated correlations for mental health (median r=0.25) in established couples indicated convergence. Analyses of siblings and in-laws revealed deviations from direct assortment, suggesting instead indirect assortment based on related traits. Adjusting for GPA and EA reduced partner correlations in health with 30-40%. This has implications for the distribution of risk factors among children, for genetic studies, and for studies of intergenerational transmission.

Associations Between General and Specific Mental Health Conditions in Young Adulthood and Cardiometabolic Complications in Middle Adulthood: A 40-Year Longitudinal Familial Coaggregation Study of 672,823 Swedish Individuals

OBJECTIVE

Most mental disorders, when examined individually, are associated with an increased risk of cardiometabolic complications. However, these associations might be attributed to a general liability to psychopathology or confounded by unmeasured familial factors. The authors investigated the association between psychiatric conditions in young adulthood and the risk of cardiometabolic complications in middle adulthood, up to 40 years later.

METHODS

This cohort study (N=672,823) identified all individuals and their siblings born in Sweden between 1955 and 1962 and followed the cohort through 2013. Logistic regression models were used to estimate the bivariate associations between 10 psychiatric conditions or criminal convictions and five cardiometabolic complications in individuals. A general factor model was used to identify general, internalizing, externalizing, and psychotic factors based on the comorbidity among psychiatric conditions and criminal convictions. The cardiometabolic complications were then regressed on the latent general factor and three uncorrelated specific factors within a structural equation modeling framework in individuals and across sibling pairs.

RESULTS

Each psychiatric condition significantly increased the risk of cardiometabolic complications. These associations appeared nonspecific, as multivariate models indicated that most were attributable to the general factor of psychopathology, rather than to specific psychiatric conditions. There were no or only small associations between individuals' general psychopathology and their siblings' cardiometabolic complications. The same pattern was evident for the specific internalizing and psychotic factors.

CONCLUSIONS

Associations between mental disorders in early life and later long-term risk of cardiometabolic complications appeared to be attributable to a general liability to psychopathology. Familial coaggregation analyses suggested that the elevated risk could not be attributed to confounders shared within families. One possibility is that lifestyle-based interventions may reduce the risk of later cardiometabolic complications for patients with several mental disorders.

The course of borderline personality disorder from adolescence to early adulthood: A 5-year follow-up study

BACKGROUND

Studies of the medium- to long-term clinical and functional course for treatment-seeking adolescents with borderline personality disorder (BPD) are lacking. This study aims to outline the psychopathological and functional status of participants, five years after being diagnosed with BPD during adolescence.

METHODS

Participants were originally enrolled in a randomized clinical trial that compared mentalization-based group treatment with treatment as usual for adolescents with BPD. Semi-structured interview assessments at five-year follow-up included the Schedules for Clinical Assessment in Neuropsychiatry and the Structured Clinical Interview for DSM-5 Personality Disorders. Attention deficit hyperactivity disorder (ADHD), alcohol, substance and tobacco use, posttraumatic stress disorder (PTSD), complex PTSD, and general functioning were assessed using self-report instruments.

RESULTS

97 of the original sample of 111 participants (87%) participated. They were aged 19-23 years. The most prevalent disorders were ADHD (59%), any personality disorder (47%) of which half continued to meet criteria for BPD (24%), anxiety disorders (37%), depressive disorders (32%), PTSD or complex PTSD (20%), schizophrenia (16%), and eating disorders (13%). Only 16% did not meet criteria for any mental disorder. Approximately half of the sample were in psychological and/or psychopharmacological treatment at the time of follow-up. Their general functioning remained impaired, with 36% not engaged in education, employment or training (NEET), which is nearly four times the rate of NEET in the same age group in the general population.

CONCLUSIONS

Although stability of the categorical BPD diagnosis is modest, adolescents meeting diagnostic criteria for BPD show a broad range of poor outcomes at five-year follow-up. BPD appears to be a marker of general maladjustment during adolescence and a harbinger of severe problems during the transition to young adulthood. Early intervention programs for adolescents diagnosed with BPD should focus upon a broad range of functional and psychopathological outcomes, especially social and vocational support, rather than the narrow BPD diagnosis.

Integrating "Lumpers" versus "Splitters" Perspectives: Toward a Hierarchical Dimensional Taxonomy of Eating Disorders from Clinician Ratings

This study describes a hierarchical dimensional model of eating-disorder (ED) classification based on the Hierarchical Taxonomy of Psychopathology (HiTOP). Participants were community-recruited adults with an ED (N=252; 81.9% female). We used a modified version of Goldberg's (2006) method, which involved sequentially extracting latent factors using exploratory structural equation modeling, resulting in a 10-factor hierarchical-dimensional model. Dimensions predicted 92.4% and 58.7% of the variance in recovery outcomes at six-month and one-year, respectively. Compared to other illness indicators (e.g., DSM diagnoses, dimensional ED impairment scores, weight/shape overvaluation, and DSM ED severity specifiers), hierarchical dimensions predicted .88 to 334 times more variance in ED behaviors at baseline and 1.95 to 80.8 times more variance in psychiatric impairment at one-year follow-up. Results suggest that reducing within-disorder heterogeneity for EDs within the broader context of internalizing symptoms provides a powerful framework from which to predict outcomes and understand symptoms experienced by those with EDs.

An examination of the relationship between conduct problems and depressive symptoms comorbidity and temperament among elementary school children

Although the comorbidity between conduct problems (CP) and depressive symptoms (DS) is associated with a host of negative outcomes, the factors, such as temperament, that might explain this comorbidity in school-aged boys and girls are poorly understood. This study compared elementary school children presenting co-occurring CP and DS to children with DS only, CP only, and those with low-level symptoms on temperament dimensions, and explored the moderating role of child sex in the associations. Participants are 487 children (M = 8.38 years, SD = 0.92, 52.2% girls) divided into four groups (CP + DS, DS only, CP only, control). Findings suggest that boys with CP and DS presented a lower level of fear than boys with DS and boys from the control group. They also presented higher levels of activity than boys with DS. Girls with CP and DS presented lower levels of fear than girls with DS, lower levels of approach and activity than girls with CP, and higher levels of shyness than girls from the control group. These findings suggest that temperament may discriminate children with comorbid CP and DS from those presenting only CP or DS.

Measurement Invariance in Longitudinal Bifactor Models: Review and Application Based on the p Factor

Bifactor models are increasingly being utilized to study latent constructs such as psychopathology and cognition, which change over the lifespan. Although longitudinal measurement invariance (MI) testing helps ensure valid interpretation of change in a construct over time, this is rarely and inconsistently performed in bifactor models. Our review of MI simulation literature revealed that only one study assessed MI in bifactor models under limited conditions. Recommendations for how to assess MI in bifactor models are suggested based on existing simulation studies of related models. Estimator choice and influence of missing data on MI are also discussed. An empirical example based on a model of the general psychopathology factor (p) elucidates our recommendations, with the present model of p being the first to exhibit residual MI across gender and time. Thus, changes in the ordered-categorical indicators can be attributed to changes in the latent factors. However, further work is needed to clarify MI guidelines for bifactor models, including considering the impact of model complexity and number of indicators. Nonetheless, using the guidelines justified herein to establish MI allows findings from bifactor models to be more confidently interpreted, increasing their comparability and utility.

Validation of the structured interview section of the penn computerized adaptive test for neurocognitive and clinical psychopathology assessment (CAT GOASSESS)

Large-scale studies and burdened clinical settings require precise, efficient measures that assess multiple domains of psychopathology. Computerized adaptive tests (CATs) can reduce administration time without compromising data quality. We examined feasibility and validity of an adaptive psychopathology measure, GOASSESS, in a clinical community-based sample (N = 315; ages 18-35) comprising three groups: healthy controls, psychosis, mood/anxiety disorders. Assessment duration was compared between the Full and CAT GOASSESS. External validity was tested by comparing how the CAT and Full versions related to demographic variables, study group, and socioeconomic status. The relationships between scale scores and criteria were statistically compared within a mixed-model framework to account for dependency between relationships. Convergent validity was assessed by comparing scores of the CAT and the Full GOASSESS using Pearson correlations. The CAT GOASSESS reduced interview duration by more than 90 % across study groups and preserved relationships to external criteria and demographic variables as the Full GOASSESS. All CAT GOASSESS scales could replace those of the Full instrument. Overall, the CAT GOASSESS showed acceptable psychometric properties and demonstrated feasibility by markedly reducing assessment time compared to the Full GOASSESS. The adaptive version could be used in large-scale studies or clinical settings for intake screening.

A systematic review exploring characteristics of youth with severe and enduring mental health problems (SEMHP)

A small group of youth and emerging adults deals with severe and enduring mental health problems (SEMHP). Current mental health care struggles to recognize and treat this group timely and adequately, leaving these youth between the cracks of the system. A first step to improve care for this group is to gain a deeper understanding of the characteristics of youth with SEMHP. Therefore, this study aimed at reviewing current literature about this target group and what is known so far about their characteristics. We included 39 studies with a focus on youth aged 12-25 years with SEMHP. After critical appraisal, a content analysis and in-depth thematic analysis were conducted. According to the included studies, youth with SEMHP were characterized by severe distress and recurrent comorbid mental health problems, with pervasive suicidality. Further, underlying trauma, family conflicts, peer rejection, deep feelings of hopelessness, and psychosocial malfunctioning characterized SEMHP. It was described that for youth with SEMHP a pervasive pattern of dysfunction in multiple domains is present leading to a detrimental impact. Subsequently, this pattern exerts a reciprocal influence on the mental health problems, causing a vicious circle further worsening SEMHP. Our findings emphasize the need for a holistic approach and to look beyond the traditional classification system in order to meet the needs of these youth with wide-ranging comorbid mental health problems.

The 'L-factor': Language as a transdiagnostic dimension in psychopathology

Thoughts and moods constituting our mental life incessantly change. When the steady flow of this dynamics diverges in clinical directions, the possible pathways involved are captured through discrete diagnostic labels. Yet a single vulnerable neurocognitive system may be causally involved in psychopathological deviations transdiagnostically. We argue that language viewed as integrating cortical functions is the best current candidate, whose forms of breakdown along its different dimensions are then manifest as symptoms - from prosodic abnormalities and rumination in depression to distortions of speech perception in verbal hallucinations, distortions of meaning and content in delusions, or disorganized speech in formal thought disorder. Spontaneous connected speech provides continuous objective readouts generating a highly accessible bio-behavioral marker with the potential of revolutionizing neuropsychological measurement. This argument turns language into a transdiagnostic 'L-factor' providing an analytical and mechanistic substrate for previously proposed latent general factors of psychopathology ('p-factor') and cognitive functioning ('c-factor'). Together with immense practical opportunities afforded by rapidly advancing natural language processing (NLP) technologies and abundantly available data, this suggests a new era of translational clinical psychiatry, in which both psychopathology and language may be rethought together.

Reactive and control processes in the development of internalizing and externalizing problems across early childhood to adolescence

Reactive and control processes - e.g., negative emotionality and immediacy preference - may predict distinct psychopathology trajectories. However, externalizing and internalizing problems change in behavioral manifestation across development and across contexts, thus necessitating the use of different measures and informants across ages. This is the first study that created developmental scales for both internalizing and externalizing problems by putting scores from different informants and measures onto the same scale to examine temperament facets as risk factors. Multidimensional linking allowed us to examine trajectories of internalizing and externalizing problems from ages 2 to 15 years (N = 1,364) using near-annual ratings by mothers, fathers, teachers, other caregivers, and self report. We examined reactive and control processes in early childhood as predictors of the trajectories and as predictors of general versus specific psychopathology in adolescence. Negative emotionality at age 4 predicted general psychopathology and unique externalizing problems at age 15. Wait times on an immediacy preference task at age 4 were negatively associated with age 15 general psychopathology, and positively associated with unique internalizing problems. Findings demonstrate the value of developmental scaling for examining development of psychopathology across a lengthy developmental span and the importance of considering reactive and control processes in development of psychopathology.

No relations between executive functions and dimensional models of psychopathology or is time the missing link?

Impaired executive functions (EF) have been found within various mental disorders (e.g., attention deficit hyperactivity disorder, autism spectrum disorder, schizophrenia spectrum disorders) as described in DSM-5. However, although impaired EF has been observed within several categories of mental disorders, empirical research on direct relations between EF and broader dimension of psychopathology is still scarce. Therefore, in the current investigation we examined relations between three EF performance tasks and self-reported dimensions of psychopathology (i.e., the internalizing, externalizing, and thought disorder spectra) in a combined dataset of patients with a broad range of mental disorders (N = 440). Despite previously reported results that indicate impaired EF in several categories of mental disorders, in this study no direct relations were found between EF performance tasks and self-reported broader dimensions of psychopathology. These results indicate that relations between EF and psychopathology could be more complex and non-linear in nature. We evaluate the need for integration of EF and dimensional models of psychopathology and reflect on EF as a possible transdiagnostic factor of psychopathology.

Towards the understanding of the core of general personality disorder factor: g-PD and its relation to hostile attributions

There is a general consensus that personality disorders (PDs) share a general factor (g-PD) overlapping with the general factor of psychopathology (p-factor). The general psychopathology factor is related to many social dysfunctions, but its nature still remains to some extent ambiguous. We posit that hostile attributions may be explanatory for the factor common for all PDs, i.e., interpersonal problems and difficulty in building long-lasting and satisfying relationships of all kinds. Thus, the main objective of the current project was to expand the existing knowledge about underlying factors of g-PD with regard to hostile attributions. We performed a cross-sectional study on a representative, community sample of Poles (N = 1031). Our hypotheses were primarily confirmed as hostile attributions predicted p-factor. However, the relation was positive only for hostile attributions related to ambiguous situations involving relational harm and physical harm done by female authorities and negative in case of hostile attributions in situations involving physical harm done by peers. Additionally, paranoia-like thoughts strongly related to hostile attributions and independently predicted g-PD. The results contribute to the current discussion on the nature of the g-PD, confirm that hostile attributions and paranoia are a crucial aspect of personality pathology, and indicate the importance of working on these cognitions in the course of therapeutic work.

A Developmentally Informed Systematic Review and Meta-Analysis of the Strength of General Psychopathology in Childhood and Adolescence

Considerable support exists for higher-order dimensional conceptualizations of psychopathology in adults. A growing body of work has focused on understanding the structure of general and specific psychopathology in children and adolescents. No prior meta-analysis has examined whether the strength of the general psychopathology factor (p factor)-measured by explained common variance (ECV)-changes from childhood to adolescence. The primary objective of this multilevel meta-analysis was to determine whether general psychopathology strength changes across development (i.e. across ages) in childhood and adolescence. Several databases were searched in November 2021; 65 studies, with 110 effect sizes (ECV), nested within shared data sources, were identified. Included empirical studies used a factor analytic modeling approach that estimated latent factors for child/adolescent internalizing, externalizing, and optionally thought-disordered psychopathology, and a general factor. Studies spanned ages 2-17 years. Across ages, general psychopathology explained over half (~ 56%) of the reliable variance in symptoms of psychopathology. Age-moderation analyses revealed that general factor strength remained stable across ages, suggesting that general psychopathology strength does not significantly change across childhood to adolescence. Even if the structure of psychopathology changes with development, the prominence of general psychopathology across development has important implications for future research and intervention.

Unpacking the p-factor. Associations Between Maladaptive Personality Traits and General Psychopathology in Female and Male Adolescents

Adolescence is a period of rapid physical, psychological, and neural maturation that makes youth vulnerable to emerging psychopathology, highlighting the need for improved identification of psychopathology risk indicators. Recently, a higher-order latent psychopathology factor (p-factor) was identified that explains latent liability for psychopathology beyond internalizing and externalizing difficulties. However, recent proposals suggest reconceptualizing the p-factor model in terms of impairments in personality encompassing difficulties in both self-regulation (borderline features) and self-esteem (narcissistic features), but this remains untested. To address this, this study examined the p-factor structure and the contribution of borderline and narcissistic features using two cross-sectional data collections. In Study 1, 974 cisgender adolescents (63% assigned females at birth; age range: 13-19; Mage = 16.68, SD = 1.40) reported on internalizing and externalizing problems (YSR) to test via structural equation models (SEM) different theoretical models for adolescent psychopathology. In Study 2, 725 cisgender adolescents (64.5% assigned females at birth; age range: 13-19; Mage = 16.22, SD = 1.32) reported internalizing and externalizing problems (YSR), borderline personality features (BPFSC-11), and narcissistic personality traits (PNI), to explore, via SEM, the contribution of borderline and narcissistic traits to the p-factor and accounting for gender differences. Results confirmed the utility of a bi-factor model in adolescence. Furthermore, findings highlighted the contribution of borderline features and narcissistic vulnerability to general psychopathology. The study provides the first evidence supporting a p-factor model reconceptualized in terms of personality impairments encompassing difficulties in self-regulation and self-esteem in adolescents.

Deriving the Transdiagnostic Scales From the Personality Assessment Inventory and SPECTRA: Indices of Psychopathology: A Demonstration

Transdiagnostic models of psychopathology address many of the shortcomings common to categorical diagnostic systems. These empirically derived models conceptualize psychopathology as a few broad interrelated and hierarchically arranged dimensions, with an overarching general psychopathology dimension, the p-factor, at the apex. While transdiagnostic models are gaining prominence in mental health research, the lack of available tools has limited their clinical translation. The present study explored the potential of creating transdiagnostic scales from the joint factor structure of the Personality Assessment Inventory, Alternative Model of Personality Disorder trait scales (AMPD), and the clinical scales of the SPECTRA: Indices of Psychopathology (SPECTRA). Exploratory factor analysis in a clinical sample (n = 212) identified five factors corresponding to the Negative Affect/Internalizing, Detachment, Antagonism/Externalizing, Disinhibition/Externalizing, and Thought Disorder transdiagnostic dimensions. Goldberg's "Bass-Ackward" method supported a hierarchical structure. Five composite transdiagnostic scales were created by summing each factor's highest loading PAI and SPECTRA scales. A global psychopathology scale was created by summing the five composite scales. All the composite scales demonstrated adequate internal consistency. Correlations between the composite scales and the NEO Five-Factor Inventory-3 provide initial validity evidence for four composite and global scales. The composite thought disorder scale had no conceptually corresponding NEO domain. Clinical implications and study limitations are discussed.

The structure of psychiatric comorbidity without selection and assortative mating

The widespread comorbidity observed across psychiatric disorders may be the result of processes such as assortative mating, gene-environment correlation, or selection into population studies. Between-family analyses of comorbidity are subject to these sources of bias, whereas within-family analyses are not. Because of Mendelian inheritance, alleles are randomly assigned within families, conditional on parental alleles. We exploit this variation to compare the structure of comorbidity across broad psychiatric polygenic scores when calculated either between-family (child polygenic scores) or within-family (child polygenic scores regressed on parental polygenic scores) in over 25,000 genotyped parent-offspring trios from the Norwegian Mother Father and Child Cohort study (MoBa). We fitted a series of factor models to the between- and within-family data, which consisted of a single genetic p-factor and a varying number of uncorrelated subfactors. The best-fitting model was identical for between- and within-family analyses and included three subfactors capturing variants associated with neurodevelopment, psychosis, and constraint, in addition to the genetic p-factor. Partner genetic correlations, indicating assortative mating, were not present for the genetic p-factor, but were substantial for the psychosis (b = 0.081;95% CI [0.038,0.124]) and constraint (b = 0.257;95% CI [0.075,0.439]) subfactors. When average factor levels for MoBa mothers and fathers were compared to a population mean of zero we found evidence of sex-specific participation bias, which has implications for the generalizability of findings from cohort studies. Our results demonstrate the power of the within-family design for better understanding the mechanisms driving psychiatric comorbidity and their consequences on population health.

Mental health problems and suicidal behavior from adolescence to young adulthood in college: linking two population-based studies

It is well established that mental health problems are highly recurrent and persistent from childhood to adolescence, but less is known to what extent mental health problems also persist from adolescence into young adulthood. The aim of the current study was therefore to examine the chronicity and risk of mental health problems and suicidality from adolescence to young adulthood. Data stem from two Norwegian population-based studies conducted 6 years apart; the youth@hordaland study from 2012 (age 16-19) and the SHoT2018 study (age 22-25). These two data sources were linked to produce a longitudinal sample of 1257 individuals. A wide range of self-reported mental health and suicidality instruments (used both continuously and categorically) were analyzed using log-link binomial regression analysis, adjusting for age, sex, parental education, and financial problems. We found that high levels of mental health problems in late adolescence were a significant risk factor for reporting poor mental health 6 years later. Internalizing and externalizing problems in adolescence were associated with a 2.8-fold and 1.9-fold increased risk, respectively, of reporting a mental disorder 6 years later. Similarly, self-harm in adolescence was associated with a 2.1-fold increased risk of suicidal thoughts 6 years later. The magnitudes of the adjusted risk ratios were generally similar across the various mental health and suicidality measures used at the two assessment points. Adjustment for confounders did not, or only slightly, attenuate the risk ratios, and all associations remained statistically significant in the adjusted analyses. This longitudinal study provides new evidence of the chronicity of mental health problems and suicidality from adolescence to adulthood in Norway. The results emphasize the importance of early identification and timely interventions to reduce the prevalence and impact of mental health problems and suicidality.

Beyond the factor indeterminacy problem using genome-wide association data

Latent factors, such as general intelligence, depression and risk tolerance, are invoked in nearly all social science research where a construct is measured via aggregation of symptoms, question responses or other measurements. Because latent factors cannot be directly observed, they are inferred by fitting a specific model to empirical patterns of correlations among measured variables. A long-standing critique of latent factor theories is that the correlations used to infer latent factors can be produced by alternative data-generating mechanisms that do not include latent factors. This is referred to as the factor indeterminacy problem. Researchers have recently begun to overcome this problem by using information on the associations between individual genetic variants and measured variables. We review historical work on the factor indeterminacy problem and describe recent efforts in genomics to rigorously test the validity of latent factors, advancing the understanding of behavioural science constructs.

Prenatal stress and externalizing behaviors in childhood and adolescence: A systematic review and meta-analysis

Accumulating evidence suggests that psychological distress during pregnancy is linked to offspring risk for externalizing outcomes (e.g., reactive/aggressive behaviors, hyperactivity, and impulsivity). Effect sizes across studies have varied widely, however, due to differences in study design and methodology, including control for the confounding continuation of distress in the postnatal period. Clarifying these inconsistencies is necessary to guide the precision of prevention efforts and inform public health policies. A meta-analysis was conducted with 55 longitudinal studies to investigate the association between prenatal psychological distress (anxiety, depression, and perceived stress) and offspring externalizing behaviors. Results revealed a significant but small effect (r = .160) of prenatal distress on externalizing behaviors. The magnitude of the prenatal effect size remained largely unchanged after adjusting for postnatal distress (r = .159), implicating a unique effect of psychological distress during the prenatal period in the etiology of externalizing behaviors. Moderation tests showed that prenatal effects did not vary based on type and timing of psychological distress during pregnancy. Greater instability of distress from prenatal to postnatal periods predicted larger effects. Prenatal effects were comparable across most externalizing outcomes, consistent with the common comorbidity of externalizing spectrum disorders, although effects appeared smaller for nonaggressive rule-breaking (vs. aggressive) behaviors. Significant associations persisted across all developmental periods, appearing slightly larger in early childhood. We discuss these results in the context of developmental and psychobiological theories of externalizing behavior, offer preliminary clinical and public health implications, and highlight directions for future research including the need for longitudinal studies with more racially and socioeconomically diverse families. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Proteomic insights into mental health status: plasma markers in young adults

Global emphasis on enhancing prevention and treatment strategies necessitates an increased understanding of the biological mechanisms of psychopathology. Plasma proteomics is a powerful tool that has been applied in the context of specific mental disorders for biomarker identification. The p-factor, also known as the "general psychopathology factor", is a concept in psychopathology suggesting that there is a common underlying factor that contributes to the development of various forms of mental disorders. It has been proposed that the p-factor can be used to understand the overall mental health status of an individual. Here, we aimed to discover plasma proteins associated with the p-factor in 775 young adults in the FinnTwin12 cohort. Using liquid chromatography-tandem mass spectrometry, 13 proteins with a significant connection with the p-factor were identified, 8 of which were linked to epidermal growth factor receptor (EGFR) signaling. This exploratory study provides new insight into biological alterations associated with mental health status in young adults.

The general factor of psychopathology (p): Choosing among competing models and interpreting p

Over the past 10 years, the general factor of psychopathology, p, has attracted interest and scrutiny. We review the history of the idea that all mental disorders share something in common, p; how we arrived at this idea; and how it became conflated with a statistical representation, the Bi-Factor Model. We then leverage the Environmental Risk (E-Risk) longitudinal twin study to examine the properties and nomological network of different statistical representations of p. We find that p performed similarly regardless of how it was modelled, suggesting that if the sample and content are the same the resulting p factor will be similar. We suggest that the meaning of p is not to be found by dueling over statistical models but by conducting well-specified criterion-validation studies and developing new measurement approaches. We outline new directions to refresh research efforts to uncover what all mental disorders have in common.

Problems of Domain Factors with Small Factor Loadings in Bi-Factor Models

Many measurement designs produce domain factors with small variances and factor loadings. The current study investigates the cause, prevalence, and problematic consequences of such domain factors. We collected a meta-analytic sample of empirical applications, conducted a simulation study on statistical power and estimation precision, and provide a reanalysis of an empirical example. The meta-analysis shows that about a quarter of all standardized domain factor loadings is in the range of - .2 < λ < .2 and about a third of all domains is measured by five or fewer indicators, resulting in small factor variances. The simulation study examines the associated difficulties concerning statistical power, trait recovery, irregular estimates, and estimation precision for a range of such realistic cases. The empirical example illustrates the challenge to develop measures that produce clearly interpretable domain factors. Study planning and interpretation need to take the (expected) sum of squared factor loadings per domain factor into account. This is relevant even if influences of domain factors are desired to be small, and equally applies to different model variants. We propose several strategies for how researchers may better unlock the bifactor model's full potential and clarify its interpretation.

Do We Need a Novel Framework for Classifying Psychopathology? A Discussion Paper

Introduction

The ICD-11 and DSM-5 are the leading systems for the classification of mental disorders, and their relevance for clinical work and research, as well as their impact for policy making and legal questions, has increased considerably. In recent years, other frameworks have been proposed to supplement or even replace the ICD and the DSM, raising many questions regarding clinical utility, scientific relevance, and, at the core, how best to conceptualize mental disorders.

Method

As examples of the new approaches that have emerged, here we introduce the Hierarchical Taxonomy of Psychopathology (HiTOP), the Research Domain Criteria (RDoC), systems and network approaches, process-based approaches, as well as a new approach to the classification of personality disorders.

Results and Discussion

We highlight main distinctions between these classification frameworks, largely related to different priorities and goals, and discuss areas of overlap and potential compatibility. Synergies among these systems may provide promising new avenues for research and clinical practice.

What is a psychopathology dimension?

Coherence in the science and practice of mental health assessment depends upon a tight connection between psychopathology concepts that are used and the way those concepts are operationalized and defined. In contrast, the use of the same word to mean more than one thing contributes to incoherence, inefficiency, and confusion. In this paper, we review three possible meanings of the word "dimension" as it relates to the assessment of psychopathology and describe how the indiscriminate use of this word has caused confusion in the general context of the transition to a more evidence-based approach to mental health diagnosis. We attempt to disambiguate the term "dimension" by demarcating three concepts that can be distinguished based on different empirical standards: continuous variables, unidimensional dimensions, and distinct dimensions.