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ABSTRACT Objective Method Results Discussion Avoidant/restrictive food intake disorder (ARFID) is a relatively new formal diagnosis for which empirical classification research (defined here as studies using latent class/latent profile analysis‐type methods) is still emerging. Such research focused on ARFID is an important gap to fill given questions about (1) the boundaries between ARFID and phenotypically similar presentations (e.g., eating disorders [EDs] such as anorexia nervosa [AN], and pediatric feeding disorder [PFD]), and (2) within‐ARFID heterogeneity. These questions have practical implications, including diagnostic reliability and treatment selection.This forum synthesizes the limited empirical classification literature seeking to quantitatively distinguish ARFID from non‐ARFID EDs or from PFD, and/or characterize within‐ARFID heterogeneity.To our knowledge, only five studies in clinical samples have used empirical classification methods to delineate ARFID from non‐ARFID EDs and/or characterize within‐ARFID heterogeneity; no studies have used such methods to delineate ARFID from PFD. Existing studies are mixed in determining how well ARFID can be distinguished from other EDs (particularly AN), but converge in identifying several potential ARFID subclasses (i.e., sensory sensitivity, low appetite, feared eating‐related consequences, and subclass representing a combination of these) with some overlapping features.The existing ARFID empirical classification literature should guide future ARFID classification research priorities (e.g., incorporating mechanistic variables as classification indicators, incorporating longitudinal variables as classification validators) to inform differences between ARFID and other disorders and between ARFID presentations. Dimensional approaches to conceptualizing, studying, and modeling psychopathology (namely, the Hierarchical Taxonomy of Psychopathology [HiTOP] and the Research Domain Criteria [RDoC]) may offer useful insights. [ABSTRACT FROM AUTHOR]

The traditional view on psychiatric disorders as categorical and distinct is being challenged by perspectives emphasizing the relevance of dimensional and transdiagnostic assessment. However, most diagnostic instruments are based on a categorical view with a threshold-approach to disease classification. We here describe algorithms for dimensionalizing the psychopathological ratings of the widely used diagnostic interview for children and adolescents, the Kiddie-Schedule for Affective Disorders and Schizophrenia – Present and Lifetime Version (K-SADS-PL). We further evaluate the criterion-related construct validity of the dimensionalized attention-deficit/hyperactivity disorder (ADHD) scales using Rasch models in a sample of 590 children (mean age 10.29 (.36), 49% girls). The algorithms generate scores of current symptom load, i.e., the sum of clinician-rated symptoms within each disorder assessed with the interview. We found support for counting symptoms of inattention and hyperactivity/impulsivity, respectively, but not for a single combined ADHD scale. The algorithms constitute an initial step in creating a framework for clinician-rated dimensional analyses of symptoms derived from the K-SADS-PL, but future studies are needed to further evaluate the construct validity of the remaining scales and the reliability and clinical utility of the method. We believe that our proposed algorithms offer a novel method of dimensional psychopathological assessment, which can be applied in multiple branches of child and adolescent psychiatry. [ABSTRACT FROM AUTHOR]

Abstract Background Nearly two-thirds of individuals with a mental disorder start experiencing symptoms during adolescence or early adulthood, and the onset of a mental disorder during this critical life stage strongly predicts adverse socioeconomic and health outcomes. Subthreshold manifestations of autism spectrum disorders (ASDs), also called autistic traits (ATs), are known to be associated with a higher vulnerability to the development of other psychiatric disorders. This study aimed to assess the presence of ATs in a population of young adults seeking specialist assistance and to evaluate the study population across various psychopathological domains in order to determine their links with ATs. Methods We recruited a sample of 263 adolescents and young adults referring to a specialized outpatient clinic, and we administered them several self-report questionnaires for the evaluation of various psychopathological domains. We conducted a cluster analysis based on the prevalence of ATs, empathy, and sensory sensitivity scores. Results The cluster analysis identified three distinct groups in the sample: an AT cluster (22.43%), an intermediate cluster (45.25%), and a no-AT cluster (32.32%). Moreover, subjects with higher ATs exhibited greater symptomatology across multiple domains, including mood, anxiety, eating disorder severity, psychotic symptoms, and personality traits such as detachment and vulnerable narcissism. Conclusions This study highlights the importance of identifying ATs in young individuals struggling with mental health concerns. Additionally, our findings underscore the necessity of adopting a dimensional approach to psychopathology to better understand the complex interplay of symptoms and facilitate tailored interventions.

Research has indicated that a dimensional conceptualisation of psychopathology may be more accurate than the current categorical approach. Two symptom dimensions, Internalising and Externalising, have emerged, and have been linked to major trait domains of personality (the Big Five). However, previous studies have tended to focus on broader personality domains, neglecting to examine associations between sub-domains (facets). The current study addressed this gap by examining associations between facets of the Big Five and Internalising and Externalising. A sample of 290 adults (Mage = 37.0, SD = 14.0; 74% female) responded to a survey which included the IPIP-NEO and ASEBA Adult Self Report. Hierarchical multiple regressions identified personality facets that may represent vulnerability factors for Internalising and Externalising. For Internalising, multiple facet-level associations were found within Neuroticism, Extraversion, and Conscientiousness, and in the latter two cases both positive and negative associations were identified. For Externalising, most facet-level associations were found within Neuroticism and Extraversion (and to a lesser extent, Conscientiousness and Agreeableness), and were in the expected direction. In both cases, the inclusion of facets provided novel and useful information about the relationship between personality and psychopathology, which may be used to improve current methods for assessing and treating mental dysfunction. [ABSTRACT FROM AUTHOR]

Dimensional models of obsessive-compulsive (OC) symptoms, as seen in obsessive-compulsive disorder (OCD), are instrumental in explaining the heterogeneity observed in this condition and for informing cutting-edge assessments. Prior structural work in this area finds that OC symptoms cross-load under both Negative Affectivity and Psychoticism traits within the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) Alternative Model of Personality Disorder (AMPD). However, tests of OC symptoms in conjunction with assessments of the full AMPD structure and its 25 lower-level facets representing narrower symptom content are lacking. We applied joint exploratory factor analysis to an AMPD measure (Personality Inventory for DSM-5 ; PID-5) and OC symptom data from two separate samples (total N = 1,506) to locate OC symptoms within AMPD space. OC symptoms cross-loaded on Negative Affectivity, Psychoticism, and on the low end of Disinhibition. We also report exploratory analyses of OC symptom subscales with PID-5 variables. Results are discussed in the context OC symptoms' location in PID-5 space, implications for assessment, and placement of OCD within the Hierarchical Taxonomy of Psychopathology. [ABSTRACT FROM AUTHOR]

IntroductionPersonality-based profiling helps elucidate associations between psychopathology symptoms and address shortcomings of current nosologies. The objective of this study was to bracket the assumption of a priori diagnostic class borders and apply the profiling approach to a transdiagnostic sample. Profiles resembling high-functioning, undercontrolled, and overcontrolled phenotypes were expected to emerge.MethodsWe used latent profile analysis on data from a sample of women with mental disorders (n = 313) and healthy controls (n = 114). 3–5 profile solutions were compared based on impulsivity, perfectionism, anxiety, stress susceptibility, mistrust, detachment, irritability, and embitterment. The best-fitting solution was then related to measures of depression, state anxiety, disordered eating, and emotion regulation difficulties to establish clinical significance.ResultsA 5-profile solution proved best-fitting. Extracted profiles included a high-functioning, a well-adapted, an impulsive and interpersonally dysregulated, an anxious and perfectionistic, and an emotionally and behaviorally dysregulated class. Significant differences were found in all outcome state measures, with the emotionally and behaviorally dysregulated class exhibiting the most severe psychopathology.DiscussionThese results serve as preliminary evidence of the predictive nature and clinical utility of personality-based profiles. Selected personality traits should be considered in case formulation and treatment planning. Further research is warranted to replicate the profiles and assess classification stability and profiles’ association with treatment outcome longitudinally.

A mechanism known as Pavlovian-to-instrumental transfer (PIT) describes a phenomenon by which the values of environmental cues acquired through Pavlovian conditioning can motivate instrumental behavior. PIT may be one basic mechanism of action control that can characterize mental disorders on a dimensional level beyond current classification systems. Therefore, we review human PIT studies investigating subclinical and clinical mental syndromes. The literature prevails an inhomogeneous picture concerning PIT. While enhanced PIT effects seem to be present in non-substance-related disorders, overweight people, and most studies with AUD patients, no altered PIT effects were reported in tobacco use disorder and obesity. Regarding AUD and relapsing alcohol-dependent patients, there is mixed evidence of enhanced or no PIT effects. Additionally, there is evidence for aberrant corticostriatal activation and genetic risk, e.g., in association with high-risk alcohol consumption and relapse after alcohol detoxification. In patients with anorexia nervosa, stronger PIT effects elicited by low caloric stimuli were associated with increased disease severity. In patients with depression, enhanced aversive PIT effects and a loss of action-specificity associated with poorer treatment outcomes were reported. Schizophrenic patients showed disrupted specific but intact general PIT effects. Patients with chronic back pain showed reduced PIT effects. We provide possible reasons to understand heterogeneity in PIT effects within and across mental disorders. Further, we strengthen the importance of reliable experimental tasks and provide test-retest data of a PIT task showing moderate to good reliability. Finally, we point toward stress as a possible underlying factor that may explain stronger PIT effects in mental disorders, as there is some evidence that stress per se interacts with the impact of environmental cues on behavior by selectively increasing cue-triggered wanting. To conclude, we discuss the results of the literature review in the light of Research Domain Criteria, suggesting future studies that comprehensively assess PIT across psychopathological dimensions. [ABSTRACT FROM AUTHOR]

Background: Nearly two-thirds of individuals with a mental disorder start experiencing symptoms during adolescence or early adulthood, and the onset of a mental disorder during this critical life stage strongly predicts adverse socioeconomic and health outcomes. Subthreshold manifestations of autism spectrum disorders (ASDs), also called autistic traits (ATs), are known to be associated with a higher vulnerability to the development of other psychiatric disorders. This study aimed to assess the presence of ATs in a population of young adults seeking specialist assistance and to evaluate the study population across various psychopathological domains in order to determine their links with ATs., Methods: We recruited a sample of 263 adolescents and young adults referring to a specialized outpatient clinic, and we administered them several self-report questionnaires for the evaluation of various psychopathological domains. We conducted a cluster analysis based on the prevalence of ATs, empathy, and sensory sensitivity scores., Results: The cluster analysis identified three distinct groups in the sample: an AT cluster (22.43%), an intermediate cluster (45.25%), and a no-AT cluster (32.32%). Moreover, subjects with higher ATs exhibited greater symptomatology across multiple domains, including mood, anxiety, eating disorder severity, psychotic symptoms, and personality traits such as detachment and vulnerable narcissism., Conclusions: This study highlights the importance of identifying ATs in young individuals struggling with mental health concerns. Additionally, our findings underscore the necessity of adopting a dimensional approach to psychopathology to better understand the complex interplay of symptoms and facilitate tailored interventions.

To investigate the utility of dimensional psychopathologies of disruptive mood and behavior disorders (DBDs) by applying latent profile analysis (LPA) for characterization of youth referred to the tertiary outpatient clinic of child and adolescent psychiatry clinic and pharmacological treatment choices. One hundred fifty-eight children and adolescents with significant DBDs symptoms participated. Core dimensional psychopathologies of DBDs (irritability, callous-unemotional trait, and reactive-proactive aggressive behavior), DSM diagnoses, prescribed medications, and behavioral and emotional problems (Child Behavior Checklist, CBCL) were measured at baseline (clinic intake) and at 3-month follow-up. Latent Profile Analysis (LPA) was applied to characterize the study population based on the levels and interrelations among the core dimensional DBDs psychopathologies. Following LPA, the differences in clinical and treatment features between the latent classes were analyzed. LPA revealed two latent classes based on severity of DBDs symptoms. Class 1 (the moderate group) was characterized by relatively low scores on all trans-diagnostic indicators, whereas class 2 (the severe/critical group) showed higher levels of the dimensional psychopathologies and the majority of CBCL subscales. In addition, the severe/critical group was more often prescribed antipsychotic medications, and also experienced more frequent medication changes (addition, increasing the dose, and trial of different medications). Our findings suggested that application of LPA to a cluster of dimensional DBDs psychopathologies may provide valuable characterization of the youths referred to a tertiary outpatient child and adolescent psychiatric clinic, and offer insight into the providers' decision making on psychotropic medications, by overall severity of these psychopathologies rather than by single categorical diagnosis or single externalizing psychopathology. [ABSTRACT FROM AUTHOR]

To investigate the utility of dimensional psychopathologies of disruptive mood and behavior disorders (DBDs) by applying latent profile analysis (LPA) for characterization of youth referred to the tertiary outpatient clinic of child and adolescent psychiatry clinic and pharmacological treatment choices. One hundred fifty-eight children and adolescents with significant DBDs symptoms participated. Core dimensional psychopathologies of DBDs (irritability, callous-unemotional trait, and reactive-proactive aggressive behavior), DSM diagnoses, prescribed medications, and behavioral and emotional problems (Child Behavior Checklist, CBCL) were measured at baseline (clinic intake) and at 3-month follow-up. Latent Profile Analysis (LPA) was applied to characterize the study population based on the levels and interrelations among the core dimensional DBDs psychopathologies. Following LPA, the differences in clinical and treatment features between the latent classes were analyzed. LPA revealed two latent classes based on severity of DBDs symptoms. Class 1 (the moderate group) was characterized by relatively low scores on all trans-diagnostic indicators, whereas class 2 (the severe/critical group) showed higher levels of the dimensional psychopathologies and the majority of CBCL subscales. In addition, the severe/critical group was more often prescribed antipsychotic medications, and also experienced more frequent medication changes (addition, increasing the dose, and trial of different medications). Our findings suggested that application of LPA to a cluster of dimensional DBDs psychopathologies may provide valuable characterization of the youths referred to a tertiary outpatient child and adolescent psychiatric clinic, and offer insight into the providers' decision making on psychotropic medications, by overall severity of these psychopathologies rather than by single categorical diagnosis or single externalizing psychopathology.

Hierarchical, quantitative models of psychopathology focus primarily on higher-order constructs, whereas less is known about the structure and content comprising lower-order dimensions of psychopathology. Here, we address this gap in the literature by using targeted factor analysis to integrate the 25 maladaptive facet-level traits of the Personality Inventory for Diagnostic and Statistical Manual of Mental Disorder–Fifth edition and the 10 aspect-level traits of the normal personality hierarchy within a sample of 198 psychiatric outpatients. A 10-factor solution replicated previous work, with each of the 10 aspects primarily characterizing only one factor. In addition, the 10 factors differentially predicted a range of diagnoses, including alcohol use disorder, major depression, panic disorder, social anxiety, and borderline and avoidant personality disorders. Our results suggest that research on the development, causes, and structure of lower-order traits within the normal personality hierarchy may serve as an important guide to research on the causes and structure of maladaptive personality. [ABSTRACT FROM AUTHOR]

Personality has recently been positioned as one overarching framework for conceptualizing psychopathology. Further, the DSM-5 put forth an alternative dimensional model of personality pathology which includes measurement of maladaptive personality domains. Few studies have examined the stability of maladaptive personality scores, and even fewer have done so using clinical samples not characterized by the diagnosis of personality disorder. The goal of the current study, therefore, was to examine the extent to which individual ratings of maladaptive personality were stable across multiple presentations in a clinically acute setting. Using a large sample of patients who repeatedly presented-between 2 and 4 times-for treatment at a partial hospital program (N = 482), we assessed the extent to which their scores on the Personality Inventory for DSM-5, Brief Form (PID-5 BF), differed across subsequent admissions. Results indicated that across admissions, individuals showed little differences in scores on the PID-5 BF across time, in either rank-order stability, or mean level differences. In addition, though previous scores predicted subsequent admission scores of the same maladaptive personality domains, there were few between-domain temporal associations. These results suggest that DSM-5 personality pathology domains appear highly stable and consistent over time. In addition, these findings bear implications for the continued understanding of how maladaptive personality is associated with both personality and nonpersonality psychopathology. (PsycINFO Database Record (c) 2020 APA, all rights reserved). [ABSTRACT FROM AUTHOR]

Dimensional psychopathology and process philosophy form together a potentially fruitful research field in psychiatry and philosophy. The continuum of mental disorders and the tradition of unitary psychosis might profit from process metaphysics, which emphasizes flowing processes in a creative nature that comprises consciousness. Seeing dimensions through the lens of process philosophy means that there are internal relations among psychopathological manifestations, that is, they are not detachable, isolated things and do not simply present themselves randomly side by side. Electromagnetism and quantum physics show a dematerialized nature in which vibrations, forces or energies act flowingly at the basis of reality: matter would be derivative or moments in a process. Psychiatric syndromes can be considered moments in a process as well. Nature is more vivid, loaded with a panexperientialism or pansubjectivism, making it less problematic, or rather a misplaced question, the riddle of how the mind arises from objects.

Classical psychopathology highly valued the interaction between clinician and patient, and recent findings have provided preliminary evidence of an association between categorical psychiatric diagnosis and the clinician's subjective experience during the first clinical assessment. To extend these findings, the present study examined the relationship between psychopathological dimensions and clinicians' subjective experiences. The study involved 45 clinicians and 783 patients in several psychiatric inpatient and outpatient units. When they saw a new patient, the clinicians completed the Assessment of Clinician's Subjective Experience questionnaire (ACSE) and the 24-item Brief Psychiatric Rating Scale (BPRS). Scores on five core psychopathological dimensions supported by meta-analytic evidence (Affect, Positive Symptoms, Negative Symptoms, Activation, Disorganization) were derived from the BPRS. Multivariate analysis revealed that each psychopathological dimension was characterized by a distinct pattern of independent associations with certain aspects of Clinician's Subjective Experience, as measured by the ACSE. This study provided preliminary evidence of significant and theoretically consistent relationships between major psychopathological dimensions and the psychiatrist's subjective experience during the first clinical evaluation. Improving the understanding of intersubjective processes may have important implications for theory, practice, research, and training. [ABSTRACT FROM AUTHOR]

Background Schizophrenia is associated with diverse white matter (WM) brain abnormalities. In this study, we sought to examine the WM microstructural findings which underlie clinical psychopathology clusters in schizophrenia and hypothesized that these symptom clusters are associated with common and unique WM tracts. Methods Overall, 76 healthy controls (HC), and 148 patients with schizophrenia (SZ) were recruited and severity of symptomatology in schizophrenia was assessed using the Positive and Negative Syndrome Scale. WM fractional anisotropy (FA) values were extracted from their diffusion tensor images. Psychopathology clusters were first determined using factor analysis and the relationship between these symptom factors and FA values were then assessed with structural equation modelling, which included covariates such as age, sex, duration of illness and medications prescribed. Results Patients with schizophrenia had reduced FA in the genu of corpus callosum (gCC) compared to HC. A three-factor model, namely Positive, Negative, Disorganised factors, was determined as the best fit for the data. All three psychopathology factors were associated with decreased FA in the gCC and bilateral cingulate gyrus. Higher Negative factor scores were uniquely associated with decreased FA in the right sagittal striatum and right superior longitudinal fasciculus. Conclusions This study found shared and specific WM changes and their associations with specific symptom clusters, which potentially allows for monitoring of such white matter findings associated with clinical presentations in schizophrenia over treatment and illness course. [ABSTRACT FROM AUTHOR]

Background: Formal thought disorder (FTD) is associated with poor outcome in established psychotic illnesses and it can be assessed as a categorical or dimensional variable. However, its influence on functional outcome and hospitalisation patterns in early psychosis has not been investigated. We evaluated the relationship between FTD and these outcomes in a first episode psychosis (FEP) sample.Materials and Methods: A mixed diagnostic FEP cohort was recruited through an Early Intervention in Psychosis Service in Ireland. Participants were assessed at initial presentation and one year later with the MIRECC GAF to evaluate social and occupational functioning domains. Disorganisation (disFTD), verbosity (verFTD) and poverty (povFTD) dimensions of FTD were examined at both time points, as well as a unitary FTD construct. Analyses were controlled for demographic, clinical and treatment variables.Results: DisFTD was the only FTD dimension associated with functional outcome, specifically social functioning, on multivariate analysis (beta=0.13, P<0.05). The unitary FTD construct was not associated with functional outcome. DisFTD at FEP presentation predicted a greater number of hospitalisations (adjusted beta=0.24, P<0.001) and prolonged inpatient admission (adjusted OR=1.08, 95% CI 1.02-1.15, P<0.05) following FEP.Conclusions: Longitudinal and dimensional evaluation of FTD has a clinical utility that is distinct from a cross-sectional or unitary assessment. Dimensions of FTD may map onto different domains of functioning. These findings are supportive of some of the changes in DSM-V with an emphasis on longitudinal and dimensional appraisal of psychopathology. Communication disorders may be considered a potential target for intervention in psychotic disorders. [ABSTRACT FROM AUTHOR]

Background: Despite the theoretical and clinical relevance of psychopathological dimensions in obsessive-compulsive disorder (OCD), no studies to date have investigated their possible association with obsession subtypes. Thus, we aimed to examine whether, in OCD patients, anger and other psychopathological dimensions are associated with specific obsession subtypes. Methods: We consecutively recruited 57 first-visit OCD patients (66.7% female, mean age 34 years) at our Psychiatric Outpatient Clinic. We used the point biserial coefficient (r pbi ) to measure the correlation between psychopathological dimensions and obsession subtypes. Results: We found significant correlations (p < 0.05) between the following: (1) anger/aggressiveness dimension and aggressive, contamination, and sexual obsessions; (2) apprehension/fear dimension and contamination, religious, and somatic obsessions; (3) sadness/demoralization dimension and contamination and somatic obsessions; (4) impulsivity dimension and aggressive and sexual obsessions, and (5) somatic concern/somatization dimension and contamination and somatic obsessions. We also found that OCD patients with comorbid obsessive-compulsive personality disorder - but not schizotypal or histrionic disorders - showed higher levels (p < 0.05) of obsessiveness/iterativity and anger/ aggressiveness than OCD patients without the personality disorder. Conclusions: Anger and other psychopathological dimensions seem to be linked with specific obsession subtypes in OCD patients, suggesting an association between these dimensions and OCD. [ABSTRACT FROM AUTHOR]

Introduction: Personality-based profiling helps elucidate associations between psychopathology symptoms and address shortcomings of current nosologies. The objective of this study was to bracket the assumption of a priori diagnostic class borders and apply the profiling approach to a transdiagnostic sample. Profiles resembling high-functioning, undercontrolled, and overcontrolled phenotypes were expected to emerge., Methods: We used latent profile analysis on data from a sample of women with mental disorders ( n  = 313) and healthy controls ( n  = 114). 3-5 profile solutions were compared based on impulsivity, perfectionism, anxiety, stress susceptibility, mistrust, detachment, irritability, and embitterment. The best-fitting solution was then related to measures of depression, state anxiety, disordered eating, and emotion regulation difficulties to establish clinical significance., Results: A 5-profile solution proved best-fitting. Extracted profiles included a high-functioning, a well-adapted, an impulsive and interpersonally dysregulated, an anxious and perfectionistic, and an emotionally and behaviorally dysregulated class. Significant differences were found in all outcome state measures, with the emotionally and behaviorally dysregulated class exhibiting the most severe psychopathology., Discussion: These results serve as preliminary evidence of the predictive nature and clinical utility of personality-based profiles. Selected personality traits should be considered in case formulation and treatment planning. Further research is warranted to replicate the profiles and assess classification stability and profiles' association with treatment outcome longitudinally., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Soodla and Akkermann.)

Background: Physical activity is associated with mental health benefits in youth. Here, we used causal inference and triangulation with 2 levels of biology to substantiate relationships between sports participation and dimensional psychopathology in youths., Methods: Baseline data from the Adolescent Brain Cognitive Development (ABCD) Study, which recruited children from 9 to 10 years of age across the United States, were included in multilevel regression models to assess relationships between lifetime participation in team sports (TS), individual sports, and nonsports activities and Child Behavior Checklist (CBCL) scores. We calculated polygenic risk scores for 8 psychiatric disorders to assess interactions with sports exposure on CBCL scores among European descendants. Following rigorous quality control, FreeSurfer-extracted brain magnetic resonance imaging structural data were examined for mediation of CBCL-activities relationships., Results: Among those with complete data ( N  = 10,411), causal estimates using inverse probability weighting associated lifetime TS exposure with a 1.05-point reduction in CBCL total (95% CI, -1.54 to -0.56, p < .0001) a relationship that was specific to TS and strengthened with more years of exposure. Associations of attention-deficit/hyperactivity disorder polygenic loading with CBCL total weakened in European children with TS exposure ( n  = 4041; beta = -0.93, SE = 0.38, p  = .013). Furthermore, TS participation and lower CBCL each associated with increased subcortical volumes ( n  = 8197). Subcortical volume mediated 5.5% of TS effects on CBCL total., Conclusions: Our findings support prior associations of TS participation with lower psychopathology in youths through additional studies that demonstrate specificity, dose response, and coherence across 2 levels of biology. Longitudinal studies that further clarify causal relationships may justify interventional studies of TS for high-risk youth., (© 2023 The Authors.)

Background The purpose of this study is to compare the dimensional psychopathology, as ascertained by parental report, in preschool offspring of parents with bipolar disorder ( BP) and offspring of community control parents. Methods 122 preschool offspring (mean age 3.3 years) of 84 parents with BP, with 102 offspring of 65 control parents (36 healthy, 29 with non- BP psychopathology), were evaluated using the Child Behavior Checklist ( CBCL), the CBCL-Dysregulation Profile ( CBCL- DP), the Early Childhood Inventory ( ECI-4), and the Emotionality Activity Sociability ( EAS) survey. Teachers' Report Forms ( TRF) were available for 51 preschoolers. Results After adjusting for confounders, offspring of parents with BP showed higher scores in the CBCL total, externalizing, somatic, sleep, aggressive, and CBCL- DP subscales; the ECI-4 sleep problem scale; and the EAS total and emotionality scale. The proportion of offspring with CBCL T-scores ≥2 SD above the norm was significantly higher on most CBCL subscales and the CBCL- DP in offspring of parents with BP compared to offspring of controls even after excluding offspring with attention deficit hyperactivity disorder and/or oppositional defiant disorder. Compared to offspring of parents with BP-I, offspring of parents with BP- II showed significantly higher scores in total and most CBCL subscales, the ECI-4 anxiety and sleep scales and the EAS emotionality scale. For both groups of parents, there were significant correlations between CBCL and TRF scores ( r = .32-.38, p-values ≤.02). Conclusions Independent of categorical axis-I psychopathology and other demographic or clinical factors in both biological parents, preschool offspring of parents with BP have significantly greater aggression, mood dysregulation, sleep disturbances, and somatic complaints compared to offspring of control parents. Interventions to target these symptoms are warranted. [ABSTRACT FROM AUTHOR]

Abstract: Background: Clark and Watson developed the tripartite model in which a symptom dimension of ‘negative affect’ covers common psychological distress that is typically seen in anxious and depressed patients. The ‘positive affect’ and ‘somatic arousal’ dimensions cover more specific symptoms. Although the model has met much support, it does not cover all relevant anxiety symptoms and its negative affect dimension is rather unspecific. Therefore, we aimed to extend the tripartite model in order to describe more specific symptom patterns with unidimensional measurement scales. Method: 1333 outpatients provided self report data. To develop an extended factor model, exploratory factor analysis (EFA) was conducted in one part of the data (n=578). Confirmatory factor analysis (CFA) was conducted in the second part (n=755), to assess model-fit and comparison with other models. Rasch analyses were done to investigate the unidimensionality of the factors. Results: EFA resulted in a 6-factor model: feelings of worthlessness, fatigue, somatic arousal, anxious apprehension, phobic fear and tension. CFA in the second sample showed that a 6-factor model with a hierarchical common severity factor fits the data better than alternative 1- and 3-factor models. Rasch analyses showed that each of the factors and the total of factors can be regarded as unidimensional measurement scales. Limitations: The model is based on a restricted symptom-pool: more dimensions are likely to exist. Conclusion: The extended tripartite model describes the clinical state of patients more specifically. This is relevant for both clinical practice and research. [Copyright &y& Elsevier]

Abstract: Background: : In clinical practice patients with unipolar depression present with a variety of symptom clusters that may combine together in many different ways. However, only few factor analytic studies used general psychopathology scales to investigate the symptom structure of unipolar depression. Methods: : The study included 163 consecutive inpatients with an ICD-10 diagnosis of depressive disorder (ICD-10 codes F32 to F33). All patients were assessed with the 18-item version of the Brief Psychiatric Rating Scale (BPRS) within 3days from admission. Exploratory factor analysis with Varimax rotation was performed on BPRS items. Results: : Four factors were extracted, explaining 52% of total variance. They were interpreted as Apathy, Dysphoria, Depression and Psychoticism. The distribution of factor scores was approximately normal for Apathy, while it displayed a slight negative skewness for Depression, a slight positive skewness for Dysphoria, and a marked positive skewness for Psychoticism. Patient sex, family history of depression, lifetime history of suicide attempt, and recent serious family conflict were not associated with any factor. Occupational status, age, and age at onset displayed a positive correlation with Apathy. Duration of illness and number of previous admissions were positively correlated with Dysphoria. Limitations: : Patients were not administered a structured diagnostic interview, and no detailed assessment of personality disorders was performed; also, patients were recruited only at a single site, which reduces the generalizability of the results. Conclusions: : Our findings suggest that in depressive disorders there are psychopathological dimensions other than depressed mood that are worthy of greater clinical attention and research. Dimensions such as apathy and dysphoria may play an important part in the clinical phenomenology of unipolar depression and deserve systematic and careful assessment in order to provide patients with the best possible treatment and improve clinical outcomes. [Copyright &y& Elsevier]

Background: Despite increasing interest in dimensional psychopathology and the use of symptom clusters in clinical research, factor analytic studies of mania are rare. Most studies included not only manic patients, but also patients with a mixed episode or other severe mental disorders. We aimed at further elucidating the symptom structure of manic states. Methods: As part of a national survey of acute psychiatric inpatient care, all patients admitted to a random sample of Italian public and private facilities during an index period underwent a standardized assessment, including the 24-item Brief Psychiatric Rating Scale (BPRS-24). Eighty-eight patients (90% of all manic patients admitted) with an ICD-10 diagnosis of Bipolar Affective Disorder, Current Episode Manic with complete data were included in this study. Principal axis factor analysis with Varimax rotation was performed on BPRS-24 items. Results: Four factors were extracted, explaining 51% of total variance. They were interpreted as Mania, Disorganization, Positive Symptoms, and Dysphoria. The distribution of the Disorganization factor was positively skewed, with most patients relatively free from disorganization symptoms and some patients showing varying degrees of severity. Limitations: The sample size was relatively small; also, patients were not administered a structured diagnostic interview. However, reasonably large samples are usually sufficient when communalities are high. Also, the manic episode is a clear-cut diagnostic entity easily identified by experienced clinicians, and the independent BPRS-24 ratings corroborated the diagnosis. Conclusions: The identification of a Mania, Positive Symptoms, and Dysphoria factor is consistent with most previous studies. The identification of a Disorganization factor in a sample including only manic patients is a new finding that may have clinical implications, as its distribution suggests the possibility of distinguishing two patient groups, which may require different interventions to achieve optimal therapeutic response. The factorially derived BPRS-24 subscales may be useful for evaluation of treatment effects in clinical trials of antimanic agents. [Copyright &y& Elsevier]

Background: Despite the high prevalence of bipolar spectrum disorders, most instruments currently available for the assessment of depression do not explore symptoms of ‘activation’ such as anger, irritability, aggressiveness, hostility, and psychomotor activation. Methods: Two samples of adults with unipolar depression were studied. They had no comorbid DSM-IV disorder, and they were free from antidepressant drugs. The first sample (n=380) was assessed with the SVARAD, a validated scale for the rapid assessment of the main psychopathological dimensions. The second sample (n=143) was assessed with the MMPI-2. Factor analysis was performed on SVARAD items and MMPI-2 clinical scales. Results: In both samples, we obtained a three-factor solution with factors interpreted as a depressive dimension, an anxious dimension, and an activation dimension. The latter dimension appeared to be clinically relevant in 20–27% of patients. Limitations: The presence of a comorbid disorder may have been missed in some cases. Also, some bipolar II patients might have been misdiagnosed as unipolar and included in the study. Further, our findings apply only to a selected psychiatric population, and it should be tested whether they generalize to other settings of care and other countries. Conclusions: Our results suggest that depressive mixed states are not rare even in patients diagnosed as unipolar, and that some unipolar patients might actually be ‘pseudounipolar’ and belong to the bipolar spectrum. More in general, our findings suggest that some depressed patients have prominent symptoms of activation that can easily go unnoticed using instruments that do not explore such symptoms. Detecting these symptoms has important treatment implications. [Copyright &y& Elsevier]

Background: Agreement on the factor structure of the Hamilton Depression Rating Scale (HDRS) has not been consistent among studies, and some investigators argued that the scale’s factor structure is not reliable. This study aimed at shedding more light on this debated issue. Methods: We studied 186 adults with unipolar depression (Major Depressive Disorder, n=80; Dysthymic Disorder, n=71; Depressive Disorder Not Otherwise Specified, n=25; Adjustment Disorder, n=10). They had no comorbid DSM-IV axis I or axis II disorders, and had received no treatment with antidepressant drugs in the previous 2 months. The factor structure of the scale was studied using the principal factor method, followed by oblique rotation. Factor scores were computed for each subject using the regression method. Results: Using the scree-test criterion for factor extraction, we obtained a four-factor solution, explaining 43.8% of total variance. The four factors extracted were identified as (1) somatic anxiety/somatization factor; (2) a psychic anxiety dimension; (3) a pure depressive dimension; and (4) anorexia factor. Patients with Major Depressive Disorder scored significantly higher than patients with other diagnoses on the pure depressive dimension. Limitations: These results need to be replicated in different cultures, using analogous factoring techniques. Conclusions: Though not exhibiting factorial invariance in the stricter sense of the term, the 17-item HDRS did exhibit a relatively reliable factor structure. Our analysis provides further evidence that the scale is multidimensional. However, as long as the multidimensional character of the scale is taken into account the scale should be able to play a useful role in clinical research. [Copyright &y& Elsevier]

Background: One aim of characterizing dimensional psychopathology is associating different domains of affective dysfunction with brain circuitry. The functional connectome, as measured by functional magnetic resonance imaging, can be modeled and associated with psychopathology through multiple methods; some methods assess univariate relationships while others summarize broad patterns of activity. It remains unclear whether different dimensions of psychopathology require different representations of the connectome to generate reproducible associations., Methods: Patients experiencing anxious misery symptomology (depression, anxiety, and trauma; n  = 192) received resting-state functional magnetic resonance imaging scans. Three modeling approaches (seed-based correlation analysis, edgewise regression, and brain basis set modeling), each relying on increasingly broader representations of the functional connectome, were used to associate connectivity patterns with six data-driven dimensions of psychopathology: anxiety sensitivity, anxious arousal, rumination, anhedonia, insomnia, and negative affect. To protect against overfitting, 50 participants were held out in a testing dataset, leaving 142 participants as training data., Results: Different modeling approaches varied in the extent to which they could model different symptom dimensions: seed-based correlation analysis failed to reproducibly model any symptoms, subsets of the connectome (edgewise regression) were sufficient to model insomnia and anxious arousal, and broad representations of the entire connectome (brain basis set modeling) were necessary to model negative affect and ruminative thought., Conclusions: These results indicate that different methods of representing the functional connectome differ in the degree that they can model different symptom dimensions, highlighting the potential sufficiency of subsets of connections for some dimensions and the necessity of connectome-wide approaches in others., (© 2021 The Authors.)

The current diagnostic systems for mental health disorders are categorical, which, it has been argued, poorly reflect the reality of mental health problems. This is especially relevant in emotional disorders (EDs), especially due to the existing comorbidity between supposedly different disorders. To address this, Brown and Barlow developed a hybrid dimensional-categorical approach to EDs that can be evaluated with the Multidimensional Emotional Disorder Inventory (MEDI), a transdiagnostic self-report questionnaire. This study aims to adapt and explore the sources of validity evidence of the MEDI in a non-clinical sample of Spanish university students ( n = 455). Two confirmatory analyses were performed: one with a four-dimensional structure obtained with an exploratory analysis and another with the original nine-dimensional structure of the MEDI. The latter obtained a better fit. The descriptive data, including percentiles, T-scores, and sex differences in total scores are also provided, together with sources of validity evidence. These revealed significant moderate interrelations between factors and with related measures (e.g., personality, depression, and anxiety). This study adapted the MEDI for use in Spanish, provides further support about its factor structure, and offers novel data about its validity sources. The MEDI makes the evaluation of dimensional and transdiagnostic models easier, which might be fundamental in present and future research and clinical practice.

Increasing data indicate that prevalent forms of psychopathology can be organized into second-order dimensions based on their correlations, including a general factor of psychopathology that explains the common variance among all disorders and specific second-order externalizing and internalizing factors. Nevertheless, most existing studies on the neural correlates of psychopathology employ case-control designs that treat diagnoses as independent categories, ignoring the highly correlated nature of psychopathology. Thus, for instance, although perturbations in white matter microstructure have been identified across a range of mental disorders, nearly all such studies used case-control designs, leaving it unclear whether observed relations reflect disorder-specific characteristics or transdiagnostic associations. Using a representative sample of 410 young adult twins oversampled for psychopathology risk, we tested the hypothesis that some previously observed relations between white matter microstructure properties in major tracts and specific disorders are related to second-order factors of psychopathology. We examined fractional anisotropy (FA), radial diffusivity (RD), and axial diffusivity (AD). White matter correlates of all second-order factors were identified after controlling for multiple statistical tests, including the general factor (FA in the body of the corpus callosum), specific internalizing (AD in the fornix), and specific externalizing (AD in the splenium of the corpus callosum, sagittal stratum, anterior corona radiata, and internal capsule). These findings suggest that some features of white matter within specific tracts may be transdiagnostically associated multiple forms of psychopathology through second-order factors of psychopathology rather with than individual mental disorders., (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)

This study aimed to compare the psychopathological profiles of children at familial high risk of schizophrenia spectrum psychosis (FHR-SZ) or bipolar disorder (FHR-BP) with population-based controls. We used Danish nationwide registers to retrieve a cohort of 522 seven-year-old children of parents with schizophrenia spectrum psychosis (N=202), bipolar disorder (N=120) or none of these disorders (N=200). Psychopathology was assessed by reports from multiple informants, including children, parents and teachers. Lifetime DSM-IV diagnoses were ascertained by blinded raters through the Schedule for Affective Disorders and Schizophrenia for School-Age Children. The dimensional assessment of psychopathology was performed by the Child Behavior Checklist, the Teacher's Report Form, a modified version of the ADHD-Rating Scale, the Test Observation Form, and the State-Trait Anxiety Inventory for Children. Current level of functioning was evaluated using the Children's Global Assessment Scale (CGAS). The prevalence of lifetime psychiatric diagnoses was significantly higher in both FHR-SZ children (38.7%, odds ratio, OR=3.5, 95% confidence interval, CI: 2.2-5.7, p < 0.001) and FHR-BP children (35.6%, OR=3.1, 95% CI: 1.8-5.3, p < 0.001) compared with controls (15.2%). FHR-SZ children displayed significantly more dimensional psychopathology on all scales and subscales compared with controls except for the Anxious subscale of the Test Observation Form. FHR-BP children showed higher levels of dimensional psychopathology on several scales and subscales compared with controls, but lower levels compared with FHR-SZ children. Level of functioning was lower in both FHR-SZ children (CGAS mean score = 68.2; 95% CI: 66.3-70.2, p < 0.0001) and FHR-BP children (73.7; 95% CI: 71.2-76.3, p < 0.05) compared with controls (77.9; 95% CI: 75.9-79.9). In conclusion, already at the age of seven, FHR-SZ and FHR-BP children show a higher prevalence of a broad spectrum of categorical and dimensional psychopathology compared with controls. These results emphasize the need for developing early intervention strategies towards this vulnerable group of children., (© 2018 World Psychiatric Association.)