General Psychopathology Factor Research Articles

Reification of the p factor draws attention away from external causes of psychopathology.

Summarizing specific psychopathology symptoms into higher order factors has a long tradition in mental health science. More recently, the general psychopathology factor (p factor) has gained much interest and currently reflects the highest level of the psychopathology hierarchy. The p factor is modeled from covariance of transdiagnostic psychopathology symptoms. Because such covariance is robust (persons who score higher on symptom X compared to others also tend to score higher on symptom Y), there have been many factor-analytic studies that claim the discovery of-and/or empirical support for-a general psychopathology factor. The reification of the p factor has put person-internal common causes of psychopathology high on the research agenda, while person-external common causes are overlooked. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The P300 and hierarchical dimensions of psychopathology.

The Hierarchical Taxonomy of Psychopathology (HiTOP) framework offers the potential to better understand how neurobiological mechanisms relate to psychopathology. The P300 is an event-related potential component that indexes attention, stimulus evaluation, and categorization. A blunted P300 has been associated with psychiatric disorders across externalizing, internalizing, and thought disorder domains. However, there has been little research investigating whether the P300 is related to higher-order dimensions of psychopathology. In a sample of 225 adults aged 18-35 years (Mage = 23.09, SD = 3.83, 82.2% female) who were oversampled for psychopathology, the present study examined the associations between the P300 and both psychopathology spectra and a general factor. Participants completed multiple experimental tasks, while electroencephalography was recorded to measure the P300 elicited by auditory, tactile, and visual stimuli. Participants also completed the self-report Comprehensive Assessment of Traits Relevant to Personality Disorder to assess pathological personality dimensions. We used structural equation modeling to examine the relationship between a latent P300 factor and both psychopathology spectra (negative emotionality, detachment, psychoticism, disinhibition, and antagonism) and a general factor. The results indicated that the P300 was inversely related to the general factor. Further analyses revealed no relationships between the P300 and any individual spectrum when accounting for the general factor. Overall, the present study indicates that the P300 is associated with the general factor of psychopathology, which might explain its association with multiple categorical disorders. The study also demonstrates the potential importance of neuroscience-informed dimensional systems to understand clinical phenomena. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Understanding the Within- and Between-Person Structure of Daily Psychopathology Among Adolescents and Young Adults.

Previous investigations on the underlying structure of psychopathology symptoms primarily focused at the between-person level and among adult samples. This study used two independent Canadian samples with month-long daily diary designs to investigate daily psychopathology structure at both within- and between-person level among adolescents (n = 99, 2,132 daily reports) and young adults (n = 313, 6,431 and 4,018 daily reports at each wave). Four mainstream types of psychopathology structure were compared based on a comprehensive set of standards. The results suggest that the general factor of psychopathology (p factor) derived from the higher-order and bifactor models performed similarly well at both within- and between-person levels, while the specific factors estimated in the bifactor models demonstrated low reliability and consistency over time. Psychopathology manifests as multidimensional at the within-person level but unidimensional at the between-person level. The current findings inform the development of future prevention and intervention programs by supporting the adoption of transdiagnostic treatment that addresses multiple psychopathology symptoms with a holistic approach.

What Emotion Regulation Strategies are Associated with a General Psychopathology Factor (p) in Adolescence? Identifying Possible Transdiagnostic Targets for Intervention.

Mental health problems in adolescence are increasing and there is an urgent call for transdiagnostic interventions, as most adolescents experience problems across multiple domains. Research has identified a general psychopathology factor (p) capturing the shared variance across mental health problems. In parallel, there is empirical support for the transdiagnostic nature of emotion regulation. In the current study, we explore the associations between p and emotion regulation strategies to identify which strategies may be promising targets for intervention. Data from the population-based Youth and Mental Health Study (YAMHS) (N = 2,464, mean age 13.7years, SD 0.6) was used. The fit of different structural models of emotion regulation and psychopathology were compared, and latent factors from the final models were included in multiple regression analyses to explore the associations between p and emotion regulation strategies. A bifactor exploratory structural equation model (B-ESEM) showed best fit for modelling p. For emotion regulation strategies, an ESEM model showed best fit, including Rumination, Reactive Impulsivity, Distraction, Non-Acceptance, Problem Solving, Social Support, and Proactive Behavior. Results showed that a higher score on p was predicted by higher scores on the emotion regulation strategies Rumination (β = .38, p < .001) and Reactive Impulsivity (β = .35, p < .001), and lower scores on Problem Solving (β = -.15, p < .001). The results indicate that Rumination and Reactive Impulsivity have the strongest associations with p and may be promising targets for mental health interventions for adolescents.

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.

Mapping the neurodevelopmental predictors of psychopathology.

Neuroimaging research has uncovered a multitude of neural abnormalities associated with psychopathology, but few prediction-based studies have been conducted during adolescence, and even fewer used neurobiological features that were extracted across multiple neuroimaging modalities. This gap in the literature is critical, as deriving accurate brain-based models of psychopathology is anessential steptowards understanding key neural mechanisms and identifying high-risk individuals. As such, we trained adaptive tree-boosting algorithms on multimodal neuroimaging features from the Lifespan Human Connectome Developmental (HCP-D) sample that contained 956 participants between the ages of 8 to 22 years old. Our feature space consisted of 1037 anatomical, 1090 functional, and 192 diffusion MRI features, which were used to derive models that separately predicted internalizing symptoms, externalizing symptoms, and the general psychopathology factor. We found that multimodal models were the most accurate, but all brain-based models of psychopathology yielded out-of-sample predictions that were weakly correlated with actual symptoms (r2 < 0.15). White matter microstructural properties, including orientation dispersion indices and intracellular volume fractions, were the most predictive of general psychopathology, followed by cortical thickness and functional connectivity. Spatially, the most predictive features of general psychopathology were primarily localized within the default mode and dorsal attention networks. These results were mostly consistent across all dimensions of psychopathology, except orientation dispersion indices and the default mode network were not as heavily weighted in the prediction of internalizing and externalizing symptoms. Taken with prior literature, it appears that neurobiological features are an important part of the equation for predicting psychopathology but relying exclusively on neural markers is clearly not sufficient, especially among adolescent samples with subclinical symptoms. Consequently, risk factor models of psychopathology may benefit from incorporating additional sources of information that have also been shown to explain individual differences, such as psychosocial factors, environmental stressors, and genetic vulnerabilities.

Life Course Models of Child Maltreatment: Effects on General Psychopathology Outcomes in a Longitudinal Sample.

The study compared life course models (LCM; accumulation, recency, and sensitive period) of child maltreatment and general psychopathology in a large, national longitudinal data set of 1354 youth ages birth-16years (657 boys, 53.2% Black, 59.7% <$40K caregiver income). Previous research has supported the accumulation and recency models, albeit with shorter or fewer time periods of outcome measurement. We extend this work by modeling the impact of combined abuse and neglect allegations on a general psychopathology factor (dysregulation profile). Cross-sectional structural equation models were constructed using LCMs and tested across two-year periods from 4-16years old and compared using Akaike Information Criterion weights. The recency variable generally explained the greatest proportion of variance in psychopathology. Notably, maltreatment more proximal to the time of outcome measurement had the strongest effect, suggesting that more recent maltreatment may have stronger effects on general psychopathology. These results lend support to a recency effect of maltreatment on psychopathology outcomes, although substantive overlaps with the accumulation model are noted.

Multivariate, Multi-omic Analysis in 799,429 Individuals Identifies 134 Loci Associated with Somatoform Traits.

Somatoform traits, which manifest as persistent physical symptoms without a clear medical cause, are prevalent and pose challenges to clinical practice. Understanding the genetic basis of these disorders could improve diagnostic and therapeutic approaches. With publicly available summary statistics, we conducted a multivariate genome-wide association study (GWAS) and multi-omic analysis of four somatoform traits-fatigue, irritable bowel syndrome, pain intensity, and health satisfaction-in 799,429 individuals genetically similar to Europeans. Using genomic structural equation modeling, GWAS identified 134 loci significantly associated with a somatoform common factor, including 44 loci not significant in the input GWAS and 8 novel loci for somatoform traits. Gene-property analyses highlighted an enrichment of genes involved in synaptic transmission and enriched gene expression in 12 brain tissues. Six genes, including members of the CD300 family, had putatively causal effects mediated by protein abundance. There was substantial polygenic overlap (76-83%) between the somatoform and externalizing, internalizing, and general psychopathology factors. Somatoform polygenic scores were associated most strongly with obesity, Type 2 diabetes, tobacco use disorder, and mood/anxiety disorders in independent biobanks. Drug repurposing analyses suggested potential therapeutic targets, including MEK inhibitors. Mendelian randomization indicated potentially protective effects of gut microbiota, including Ruminococcus bromii. These biological insights provide promising avenues for treatment development.

Genetic analyses point to alterations in immune-related pathways underpinning the association between psychiatric disorders and COVID-19.

Current literature suggests that people with psychiatric disorders have a higher risk of COVID-19 infection and a worse prognosis of the disease. We aimed to study the genetic contribution to these associations across seven psychiatric disorders as well as a general psychopathology factor (P-factor) and determine whether these are unique or shared across psychiatric disorders using statistical genetic techniques. Using the largest available genome-wide association studies (GWAS), we found a significant genetic overlap between depression, ADHD, PTSD, and the P-factor with both COVID-19 infection and hospitalization, and between anxiety and COVID-19 hospitalization. We used pairwise GWAS to examine this overlap on a fine-grained scale and identified specific regions of the genome shared between several psychiatric disorders, the P-factor, and COVID-19. Gene-based analysis in these genomic regions suggested possible links with immune-related pathways such as thyroid homeostasis, inflammation, and stress response. Finally, we show preliminary evidence for causal associations between depression, ADHD, PTSD, and the P-factor, and higher COVID-19 infection and hospitalization using Mendelian Randomization and Latent Causal Variable methods. Our results support the hypothesis that the relationship between psychiatric disorders and COVID-19 risk is likely due to shared alterations in immune-related pathways and is not a result of environmental factors alone, shedding light on potentially viable therapeutic targets.

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

Children and adolescents with obsessive-compulsive disorder (OCD) are at risk of 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 four important outcomes over both short and long durations in youth with OCD. We used data from the Nordic Long-term OCD Treatment Study (NordLOTS), where youth with OCD (N=248, Mage: 12.83 years [SD = 2.72], 52.0% girls) received exposure-based cognitive-behavioral therapy. The p factor was estimated using parent-reported Child Behavior Check List 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. 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. 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.

P-Factor(s) for Youth Psychopathology Across Informants and Models in 24 Societies

ABSTRACT Objective Although the significance of the general factor of psychopathology (p) is being increasingly recognized, it remains unclear how to best operationalize and measure p. To test variations in the operationalizations of p and make practical recommendations for its assessment, we compared p-factor scores derived from four models. Methods We compared p scores derived from principal axis (Model 1), hierarchical factor (Model 2), and bifactor (Model 3) analyses, plus a Total Problem score (sum of unit-weighted ratings of all problem items; Model 4) for parent- and self-rated youth psychopathology from 24 societies. Separately for each sample, we fitted the models to parent-ratings on the Child Behavior Checklist for Ages 6–18 (CBCL/6–18) and self-ratings on the Youth Self-Report (YSR) for 25,643 11–18-year-olds. Separately for each sample, we computed correlations between p-scores obtained for each pair of models, cross-informant correlations between p-scores for each model, and Q-correlations between mean item x p-score correlations for each pair of models. Results Results were similar for all models, as indicated by correlations of .973–.994 between p-scores for Models 1–4, plus similar cross-informant correlations between CBCL/6–18 and YSR Model 1–4 p-scores. Item x p correlations had similar rank orders between Models 1–4, as indicated by Q correlations of .957–.993. Conclusions The similar results obtained for Models 1–4 argue for using the simplest model – the unit-weighted Total Problem score – to measure p for clinical and research assessment of youth psychopathology. Practical methods for measuring p may advance the field toward transdiagnostic patterns of problems.

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

BackgroundComorbidity 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. Methods2052 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. ResultsThe 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. LimitationsOnly common symptoms were included as this study was conducted at school. Furthermore, the cross-sectional design limited our ability to investigate causal relationships. ConclusionsA “p” factor exists among Chinese adolescents. Individuals with higher “p” factor levels were prone to experience lower levels of psycho-social functions.

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.

Associations between general and specific psychopathology factors in parents and psychiatric, behavioral, and psychosocial outcomes in offspring: a Swedish population-based register study

IntroductionPsychiatric conditions in parents are associated not only with the same condition in offspring, but also with virtually all other psychiatric conditions. However, it remains unknown whether this intergenerational transmission of psychiatric conditions was attributable to broader psychopathology comorbidity or to specific conditions.ObjectivesTo estimate associations between general and specific factors of psychopathology in parents, and a wide range of register-based outcomes in their offspring.MethodsBased on Swedish national registers, we linked 2 947 703 individuals born in Sweden between 1970 and 2000 to their biological parents (1 705 780 pairs of parents) and followed them to December 31, 2013. First, we estimated one general and three unrelated (specific) psychopathology factors (capturing internalizing, externalizing, and psychotic problems, respectively, independently of general psychopathology) based on nine parental register-based psychiatric diagnoses and violent criminal court convictions. Second, we regressed each offspring outcome on the latent general and three specific factors simultaneously.ResultsThe general psychopathology factor in parents was significantly associated with all 31 offspring outcomes (mean Odds Ratio (OR) = 1.22; range: 1.08–1.40), which means that children whose parents scored one standard deviation above the mean on general psychopathology had, on average, a 23% higher probability of all outcomes. The specific psychotic factor in parents was primarily associated with psychotic-like outcomes (mean OR = 1.17; range: 1.05–1.25), and the specific internalizing factor in parents was primarily associated with offspring internalizing (mean OR = 1.11; range: 1.11–1.13) and neurodevelopmental outcomes (mean OR = 1.07; range: 1.02–1.10). The specific externalizing factor in parents was associated with externalizing (mean OR = 1.27; range: 1.21–1.32) and internalizing outcomes (mean OR = 1.10; range: 1.01–1.13).ConclusionsThe intergenerational transmission of psychiatric conditions across different types of spectra appeared largely attributable to a parental general factor of psychopathology, whereas specific factors were primarily responsible for within-spectrum associations between parents and their offspring. Service providers (e.g., child psychologists, psychiatrists, teachers, and social workers) might benefit from taking the total number of parental mental health problems into account, regardless of type, when forecasting child mental health and social functions.Disclosure of InterestNone Declared

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

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. 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. 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. (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.

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

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. 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. 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. 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.

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.

Bifactor models of psychopathology using multi-informant and multi-instrument dimensional measures in the ABCD study.

Due to limitations of categorical definitions of mental illness, there is a need for quantitative empirical investigations of the dimensional structure of psychopathology. Using exploratory bifactor methods, this study investigated a comprehensive and representative structure of psychopathology in children to better understand how psychotic-like experiences (PLEs), autism spectrum disorder (ASD) symptoms, impulsivity, and sensitivity to reward and punishment, may be integrated into extant general factor models of psychopathology. We used seven child-report and three parent-report instruments capturing diverse mental health symptoms in 11,185 children aged 9-10 from the Adolescent Brain Cognitive DevelopmentSM (ABCD) Study. We built on previous modeling frameworks by conducting both split sample and full sample factor analytic approaches that harnessed recent methodological advances in bifactor exploratory structural equation modeling (B-ESEM) to examine a wide range of psychopathology measures not previously integrated into a single analysis. Validity of psychopathology dimensions was examined by investigating associations with sex, age, cognition, imaging measures, and medical service usage. All four factor analytic models showed excellent fit and similar structure within informant. PLEs loaded most highly onto a general psychopathology factor, suggesting that they may reflect non-specific risk for mental illness. ASD symptoms loaded separately from attention/hyperactivity symptoms. Symptoms of impulsivity and sensitivity to reward and punishment loaded onto specific factors, distinct from externalizing and internalizing factors. All identified factors were associated with clinically relevant risk factors, providing preliminary evidence for their construct validity. By integrating diverse child-report and parent-report psychopathology measures for children in the ABCD sample, we deliver data on the quantitative structure of psychopathology for an exceptionally large set of measurements and discuss implications for the field.

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.

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.

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. 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. 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. 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.