Reinterpreting comorbidity: a model-based approach to understanding and classifying psychopathology

A broad internalizing dimension accounts for the genetic associations between personality and individual internalizing disorders

Much research has demonstrated that psychopathology can be described in terms of broad dimensions, representing liability for multiple psychiatric disorders. Broad spectra of psychopathology (e.g., internalizing and externalizing) are increasingly used as targets for research investigating the development, etiology, and course of psychopathology because they account for patterns of relatedness among disorders that were once presumed distinct. Thus, these spectra represent alluring targets due to their comprehensive and parsimonious nature. Nevertheless, little research has established the role of individual disorders over and above broad dimensions in the study of psychopathology. In the current study, we investigate whether there are unique etiological associations between individual internalizing disorders and personality traits after accounting for their etiological associations with a broad internalizing dimension. We used a community sample of twins (Npairs = 448) ages 4 to 19 to examine the etiological associations between internalizing psychopathology and Big Five personality dimensions. In terms of genetic covariation, a broad internalizing dimension was positively associated with neuroticism and negatively associated with extraversion, agreeableness, and conscientiousness. Moreover, internalizing accounted for most of the genetic variance shared between individual internalizing disorders and personality traits. Nevertheless, there were unique genetic associations between the following pairs of personality traits and disorders: neuroticism and social anxiety, extraversion and social anxiety, agreeableness and depression, and conscientiousness and compulsions. There was little evidence of environmental influences shared between internalizing and personality. In sum, a broad internalizing dimension adequately accounted for almost all of the etiologic covariation between internalizing disorders and personality, with several interesting exceptions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Genetic variance in conscientiousness relates to youth psychopathology beyond executive functions

Because deficits in self-regulation (SR) are core features of many diverse psychological disorders, SR may constitute one of many dimensions that underlie shared variance across diagnostic boundaries (e.g., the p factor, a dimension reflecting shared variance across multiple psychological disorders). SR definitions encompass constructs mapping onto different theoretical traditions and different measurement approaches, however. Two SR operationalizations, executive functioning and conscientiousness, are often used interchangeably despite their low empirical associations-a "jingle" fallacy that pervades much of the research on SR-psychopathology relationships. In a population-based sample of 1,219 twins and multiples from the Texas Twin Project (Mage = 10.60, SDage = 1.76), with a comprehensive battery of measures, we aimed to clarify how these often-muddled aspects of SR relate to individual differences in psychopathology, and whether links between them are accounted for by overlapping genetic and environmental factors. The p factor and an Attention Problems-specific factor were associated with lower executive functioning and conscientiousness. Executive functioning shared a small amount of genetic variance with p above and beyond conscientiousness, whereas conscientiousness shared substantial genetic variance with p independently of genetic variance accounted for by executive functioning. Conversely, the Attention Problems-specific factor was strongly genetically associated with executive functioning independently of genetic variance accounted for by conscientiousness. Results support the notion that SR and psychopathology, broadly conceived, may exist on overlapping spectra, but this overlap varies across conceptualizations of SR and the level of specificity at which psychopathology is assessed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Genetic and environmental etiology of drinking motives in college students

BACKGROUND

Drinking motives are robust proximal predictors of alcohol use behaviors and may mediate distinct etiological pathways in the development of alcohol misuse. However, little is known about the genetic and environmental etiology of drinking motives themselves and their potential utility as endophenotypes.

METHODS

Here, we leverage a longitudinal study of college students from diverse racial/ethnic backgrounds (phenotypic N = 9889, genotypic N = 4855) to investigate the temporal stability and demographic and environmental predictors of four types of drinking motives (enhancement, social, coping, and conformity). Using genome-wide association study (GWAS) and in silico tools, we characterize their associated genes and genetic variants (single nucleotide polymorphisms or SNPs).

RESULTS

Drinking motives were stable across four years of college (ICC >0.74). Some robust environmental predictors of alcohol misuse (parental autonomy granting and peer deviance) were broadly associated with multiple types of drinking motives, while others (e.g., trauma exposure) were type specific. Genome-wide analyses indicated modest SNP-based heritability (14-22%, n.s.) and several suggestive genomic loci that corroborate findings from previous molecular genetic studies (e.g., PECR and SIRT4 genes), indicating possible differences in the genetic etiology of positive versus negative reinforcement drinking motives that align with an internalizing/externalizing typology of alcohol misuse. Coping motives were significantly genetically correlated with alcohol use disorder diagnoses (r_g  = 0.71, p = 0.001). However, results from the genetic analyses were largely underpowered to detect significant associations.

CONCLUSIONS

Drinking motives show promise as endophenotypes but require further investigation in larger samples to further our understanding of the etiology of alcohol misuse.

Differentiated nomological networks of internalizing, externalizing, and the general factor of psychopathology ('p factor') in emerging adolescence in the ABCD study

BACKGROUND

Structural models of psychopathology consistently identify internalizing (INT) and externalizing (EXT) specific factors as well as a superordinate factor that captures their shared variance, the p factor. Questions remain, however, about the meaning of these data-driven dimensions and the interpretability and distinguishability of the larger nomological networks in which they are embedded.

METHODS

The sample consisted of 10 645 youth aged 9-10 years participating in the multisite Adolescent Brain and Cognitive Development (ABCD) Study. p, INT, and EXT were modeled using the parent-rated Child Behavior Checklist (CBCL). Patterns of associations were examined with variables drawn from diverse domains including demographics, psychopathology, temperament, family history of substance use and psychopathology, school and family environment, and cognitive ability, using instruments based on youth-, parent-, and teacher-report, and behavioral task performance.

RESULTS

p exhibited a broad pattern of statistically significant associations with risk variables across all domains assessed, including temperament, neurocognition, and social adversity. The specific factors exhibited more domain-specific patterns of associations, with INT exhibiting greater fear/distress and EXT exhibiting greater impulsivity.

CONCLUSIONS

In this largest study of hierarchical models of psychopathology to date, we found that p, INT, and EXT exhibit well-differentiated nomological networks that are interpretable in terms of neurocognition, impulsivity, fear/distress, and social adversity. These networks were, in contrast, obscured when relying on the a priori Internalizing and Externalizing dimensions of the CBCL scales. Our findings add to the evidence for the validity of p, INT, and EXT as theoretically and empirically meaningful broad psychopathology liabilities.

Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown

The COVID-19 pandemic is a global stressor with inter-individually differing influences on mental health trajectories. Polygenic Risk Scores (PRSs) for psychiatric phenotypes are associated with individual mental health predispositions. Elevated hair cortisol concentrations (HCC) and high PRSs are related to negative mental health outcomes. We analyzed whether PRSs and HCC are related to different mental health trajectories during the first COVID lockdown in Germany. Among 523 participants selected from the longitudinal resilience assessment study (LORA), we previously reported three subgroups (acute dysfunction, delayed dysfunction, resilient) based on weekly mental health (GHQ-28) assessment during COVID lockdown. DNA from blood was collected at the baseline of the original LORA study (n = 364) and used to calculate the PRSs of 12 different psychopathological phenotypes. An explorative bifactor model with Schmid-Leiman transformation was calculated to extract a general genetic factor for psychiatric disorders. Hair samples were collected quarterly prior to the pandemic for determining HCC (n = 192). Bivariate logistic regressions were performed to test the associations of HCC and the PRS factors with the reported trajectories. The bifactor model revealed 1 general factor and 4 sub-factors. Results indicate a significant association between increased values on the general risk factor and the allocation to the acute dysfunction class. The same was found for elevated HCC and the exploratorily tested sub-factor "childhood-onset neurodevelopmental disorders". Genetic risk and long-term cortisol secretion as a potential indicator of stress, indicated by PRSs and HCC, respectively, predicted different mental health trajectories. Results indicate a potential for future studies on risk prediction.

Exaggerated amygdala response to threat and association with immune hyperactivity in depression

BACKGROUND

Depression is characterized by altered neurobiological responses to threat and inflammation may be involved in the development and maintenance of symptoms. However, the mechanistic pathways underlying the relationship between the neural underpinnings of threat, inflammation and depressive symptoms remain unknown.

METHODS

Twenty participants with major depressive disorder (MDD) and 17 healthy controls (HCs) completed this study. Peripheral blood mononuclear cells (PBMCs) were collected and stimulated ex vivo with lipopolysaccharide (LPS). We then measured a broad array of secreted proteins and performed principal component analysis to compute an aggregated immune reactivity score. Subjects completed a well-validated emotional face processing task during functional magnetic resonance imaging (fMRI). Amygdala activation was measured during perception of threat for the main contrast of interest: fear > happy face. Participants completed the Mood and Anxiety Symptom Questionnaire (MASQ) and the Perceived Stress Scale (PSS). Correlation analyses between amygdala activation, the aggregate immune score, and symptom were computed across groups. A mediation analysis was also performed across groups to further explore the relationship between these three variables.

RESULTS

In line with our hypotheses and with prior work, the MDD group showed greater amygdala activation in response to threat compared to the HC group [t35 = -2.038, p = 0.049]. Internal consistency of amygdala activation to threat was found to be moderate. Response to an ex vivo immune challenge was greater in MDD than HC based on the computed immune reactivity score (PC1; t35 = 2.674, p = 0.011). Amygdala activation was positively correlated with the immune score (r = 0.331, p = 0.045). Moreover, higher amygdala activation was associated with greater anxious arousal measured by the MASQ (r = 0.390, p = 0.017). Exploring the role of stress, we found that higher perceived stress was positively associated with both inflammatory response (r = 0.367, p = 0.026) and amygdala response to threat (r = 0.325, p = 0.050). Mediation analyses showed that perceived stress predicted anxious arousal, but neither inflammation nor amygdala activation fully accounted for the effect of perceived stress on anxious arousal.

CONCLUSION

These data highlight the potential importance of threat circuitry hyperactivation in MDD, consistent with prior reports. We found that higher levels of inflammatory biomarkers were associated with higher amygdala activation, which in turn was associated with anxious arousal. Future research utilizing larger sample sizes are needed to replicate these preliminary results.

How Different Pre-existing Mental Disorders and Their Co-occurrence Affects COVID-19 Clinical Outcomes? A Real-World Data Study in the Southern United States

Background

Although a psychiatric history might be an independent risk factor for COVID-19 infection and mortality, no studies have systematically investigated how different clusters of pre-existing mental disorders may affect COVID-19 clinical outcomes or showed how the coexistence of mental disorder clusters is related to COVID-19 clinical outcomes.

Methods

Using a retrospective cohort study design, a total of 476,775 adult patients with lab-confirmed and probable COVID-19 between March 06, 2020 and April 14, 2021 in South Carolina, United States were included in the current study. The electronic health record data of COVID-19 patients were linked to all payer-based claims data through the SC Revenue and Fiscal Affairs Office. Pre-existing mental disorder diagnoses from Jan 2, 2019 to Jan 14, 2021 were extracted from the patients' healthcare utilization data via ICD-10 codes.

Results

There is an elevated risk of COVID-19-related hospitalization and death among participants with pre-existing mental disorders adjusting for key socio-demographic and comorbidity covariates. Co-occurrence of any two clusters was positively associated with COVID-19-related hospitalization and death. The odds ratio of being hospitalized was 1.26 (95% CI: 1.151, 1.383) for patients with internalizing and externalizing disorders, 1.65 (95% CI: 1.298, 2.092) for internalizing and thought disorders, 1.76 (95% CI: 1.217, 2.542) for externalizing and thought disorders, and 1.64 (95% CI: 1.274, 2.118) for three clusters of mental disorders.

Conclusions

Pre-existing internalizing disorders and thought disorders are positively related to COVID-19 hospitalization and death. Co-occurrence of any two clusters of mental disorders have elevated risk of COVID-19-related hospitalization and death compared to those with a single cluster.

Personality traits and college students' internet addiction: The mediating roles of general health and self-esteem

This research aimed to explore the gender-related differences in Internet addiction levels, the associated factors behind Internet addiction, and the mediating roles of general health and self-esteem in the relationship between personality traits and Internet addiction among college students. A total of 318 college students in Iran participating in this study completed sociodemographic information form and self-report measures of Internet addiction, personality traits, general health, and self-esteem. The results showed higher frequencies of low and moderate-severe levels of addiction among female and male students, respectively. Further, younger age, male gender, singleness, high scores on neuroticism, poor general health, and low self-esteem might be linked to Internet addiction. The overall hypothesis that general health and self-esteem mediated the effect of neuroticism on Internet addiction was also supported. Our findings highlighted the necessity of evaluating general health and self-esteem among Internet-addicted students. Further, these variables can be targeted by psychiatrists and psychologists for effective cognitive-behavioral therapy among Internet-addicted students.

Identifying Youth Problem Profiles and Predicting Remission Following Mental Health Treatment

This study utilized latent profile analysis to categorize youth served by a public mental health setting into homogenous classes. Then, associations between class membership and meeting clinical criteria by the latest assessment were examined. Caregiver responses to the Ohio Scales, Short Form, Problem Severity Scale for 1090 youth completed at entry into this public mental health system were subjected to latent profile analysis. This method classifies youth into categories based on mental health problem profiles, in order to determine the degree to which these groupings are related to later mental health outcomes. The classification of youth cases that emerged was then used to predict clinical remission at or nearest end of treatment, including final Ohio Scales Problem Severity scores and a measure of day-to-day functioning, the Child and Adolescent Functional Assessment Scale (CAFAS). A four-class model was identified as best representing the data, reflecting a relatively low-risk class (63.3% of the sample), an internalizing class (23.2%), a delinquency class (8.8%), and a high-risk class (4.7%). Individuals in the internalizing and high-risk classes had lower likelihoods of achieving problem remission than those in the low-risk and delinquency classes at the time of their last completed Ohio Scales. Additionally, youth assigned to the delinquency and high-risk classes had lower likelihoods of reaching functional impairment remission than those in the internalizing and low-risk classes. Youth membership in a class based on initial problem scores can be utilized to predict clinical remission over the course of treatment in public mental health care. Such class-based predictions support other methods of predicting outcomes and can be used by clinicians to develop more informed treatment plans and to adjust treatment based on such classifications.

Profiles in Criminal Psychopathology: A Multiple Case Report Study of the p Factor

(1) Background: The one general psychopathology (p Factor) theory asserts that a superordinate dimensional construct encompasses underlying forms of psychopathology, but the theory has limited empirical linkages to criminology. (2) Methods: We utilized case reports from 12 male offenders selected from a federal jurisdiction in the central United States who were in the 99th percentile on a composite indicator of psychopathology to advance a qualitative study of the p Factor. (3) Results: Clients experienced frequent and often pathological traumatic experiences and exhibited exceedingly early onset of conduct problems usually during the preschool period. Their criminal careers were overwhelmingly versatile and contained numerous offense types, had extensive justice system contacts, and exhibited remarkable deficits in global functioning. Most clients spent the majority of their life in local, state, or federal confinement. Consistent with the theory, clients experienced a generalized psychopathology disposition that had undercurrents of externalizing, internalizing, psychotic, paraphilic, and homicidal features. (4) Conclusions: A qualitative understanding of the p Factor and its contribution to offending behaviors among correctional clients complements the statistical approach to developmental psychopathology.

Allostatic load and systemic comorbidities in psychiatric disorders

Psychiatric disorders are complex, disabling, and chronic conditions that are often accompanied by one or more systemic medical comorbidities. In this narrative review, we provide an overview of the allostatic load concept, which represents a multi-system dysregulation in response to chronic stress and link it to systemic comorbidities associated with psychiatric disorders. We synthesized published literature gathered using Medline (Ovid), Scopus, and PsychInfo and identified a high frequency of systemic comorbidities for both mood and psychotic disorders. The identified cardiovascular, metabolic, and immune comorbidities may represent the result of chronic wear and tear caused by a complex interaction between chronic psychosocial stress, health risk behaviors, pharmacological stressors, and the biological systems involved in the development of allostatic load. These findings support the notion that psychiatric disorders should be re-conceptualized as systemic disorders, affecting the brain and systemic biological pathways in an interconnected fashion to result in systemic comorbidities. We suggest that the multi-systemic and multi-dimensional approach that drives the allostatic load concept should be considered for understanding comorbidities in vulnerable psychiatric patients.

A meta-structure for DSM-5 and ICD-11 pathological traits and the differentiation of personality functioning at different trait levels in older adults

OBJECTIVES

Categorical criteria are not well suited to inform personality disorder (PD) diagnoses in older adults. More promising are the ICD-11 and DSM-5 alternative models. Both conceptualize PD by level of severity and maladaptive traits. Severity is conditional for making a PD diagnosis. Trait levels portray stylistic differences in PD expression. Yet, in older adults the hierarchical trait structure is unknown. Neither is the differentiation of the severity criterion from maladaptive traits confirmed.

METHODS

A series of exploratory factor analyses with progressively greater numbers of factors were conducted to examine the hierarchical trait structure in 293 community dwelling older adults. The on average differentiation of a single higher order personality functioning factor from trait factors at succeeding levels of the hierarchy was estimated with Cohen q effect size.

RESULTS

Six meaningful trait levels were identified. From the fourth trait level on the general personality functioning factor shared less than 15% variance on average with the trait factors. Trait factors at the sixth level corresponded to both DSM-5 and ICD-11 pathological traits.

CONCLUSION

A future nosology integrating DSM-5 and ICD-11 trait proposals would be applicable in older adults. Personality functioning can be differentiated from traits, so separate assessment of traits and severity is worthwhile.

Longitudinal patterns of comorbidity between anxiety, depression and binge eating symptoms among patients with obesity: A path analysis

BACKGROUND

Depression, anxiety, and binge eating are common psychiatric symptoms among people with obesity. Although many studies seek to understand the mechanisms of association between these psychiatric symptoms, there is no still consensus about the longitudinal association.

METHODS

155 patients (124 women) were recruited from a university-based bariatric center and evaluated over three waves (T0-T1-T2). In the last period the sample comprised 126 (104 women) participants. Trained clinicians assessed psychiatric symptoms by telephone interview using measurement scales. Partial Least Squares (PLS) was applied to investigate the path effects between anxiety, depression and binge eating symptoms over time.

RESULTS

The results of path coefficients (β) showed that the effect of anxiety on depression was constantly significant in all periods T0 (β = 0.74), T1 (β = 0.71), and T2 (β = 0.67). Anxiety had an effect on binge eating in T0 (β = 0.39) and T2 (β = 0.26) but not in T1. Binge eating affected depressive symptoms only in T2 (β = 0.22). Two carry-over-effects were significant binge eating in T0-T1 (β = 0.41) and T1-T2 (β = 0.19).

LIMITATIONS

Telephone interviews, social isolation due to the pandemic and the social desirability may have contributed to collection and information biases.

CONCLUSION

Anxiety has significant path effects on depression and binge eating. Binge eating was shown to be the most unstable symptom over time. The time factor seems to contribute to path effects between the psychiatric symptoms. The results draw attention to the fact that psychiatric symptoms must be evaluated and treated in association with each other, and investigated over time.

Personality traits differentiate patients with bipolar disorder and healthy controls - A meta-analytic approach

BACKGROUND

Expression of specific personality traits has been associated with the presence and disease course of bipolar disorder (BD) in multiple studies. However, until today findings are inconsistent and potentially confounding factors such as age and gender as well as the limited sample size of previous studies make it difficult to generalize these findings. To overcome these limitations and to specify the role of personality traits in the context of BD, we performed a meta-analysis in patients with BD and healthy controls (HC), focusing on the traits of the big three and the big five: Neuroticism (N), Extraversion (E), Openness (O), Conscientiousness (C), Agreeableness (A) and Psychoticism (P).

METHODS

Two online databases (Pubmed and Web of Science) were searched systematically to identify relevant articles, including publications up to December 31, 2019. From studies that met our inclusion criteria (n = 18), we extracted relevant data of patients with BD (n = 1694) and HC (n = 2153) and calculated effect sizes for each personality trait. Further, we performed moderator analysis on gender, age, quality score and years of publication.

RESULTS

Our results indicate that patients with BD exhibit higher scores on N (large positive effect size; n = 18, g = 1.44, 95%-CI : 1.11 to 1.77) and lower scores on C (medium negative effect size; n = 6, g = -0.78, 95%-CI: -1.13 to -0.43) and E (small negative effect size; n = 13, g = -0.38, 95%-CI: -0.52 to -0.23) compared to HC. We found a moderating effect of mean age on the effect size of N with smaller differences in N levels between patients with BD and HC in older samples (-0.0437, z = - 3.96, p <0.0001). Our results were robust with respect to potential publication biases and the inclusion of potentially confounding factors such as gender, age, quality score and years of publication.

LIMITATIONS

Due to the lack of available data no subgroup analysis on the effect of mood states of patients and subtypes of BD could be performed. Moreover, our analyses are based on cross-sectional data so that findings should be interpreted with care, especially concerning causal conclusions.

CONCLUSIONS

Patients with BD showed differences in several personality traits compared to HC. Our results provide the basis for future research with focus on personality and psychopathology in patients with BD. Identifying the interaction between expressions of personality traits and BD might provide novel approaches in prevention and therapy.

Genetic correlation, pleiotropy, and causal associations between substance use and psychiatric disorder

BACKGROUND

Substance use occurs at a high rate in persons with a psychiatric disorder. Genetically informative studies have the potential to elucidate the etiology of these phenomena. Recent developments in genome-wide association studies (GWAS) allow new avenues of investigation.

METHOD

Using results of GWAS meta-analyses, we performed a factor analysis of the genetic correlation structure, a genome-wide search of shared loci, and causally informative tests for six substance use phenotypes (four smoking, one alcohol, and one cannabis use) and five psychiatric disorders (ADHD, anorexia, depression, bipolar disorder, and schizophrenia).

RESULTS

Two correlated externalizing and internalizing/psychosis factor were found, although model fit was beneath conventional standards. Of 458 loci reported in previous univariate GWAS of substance use and psychiatric disorders, about 50% (230 loci) were pleiotropic with additional 111 pleiotropic loci not reported from past GWAS. Of the 341 pleiotropic loci, 152 were associated with both substance use and psychiatric disorders, implicating neurodevelopment, cell morphogenesis, biological adhesion pathways, and enrichment in 13 different brain tissues. Seventy-five and 114 pleiotropic loci were specific to either psychiatric disorders or substance use phenotypes, implicating neuronal signaling pathway and clathrin-binding functions/structures, respectively. No consistent evidence for phenotypic causation was found across different Mendelian randomization methods.

CONCLUSIONS

Genetic etiology of substance use and psychiatric disorders is highly pleiotropic and involves shared neurodevelopmental path, neurotransmission, and intracellular trafficking. In aggregate, the patterns are not consistent with vertical pleiotropy, more likely reflecting horizontal pleiotropy or more complex forms of phenotypic causation.

Maternal Depressive Symptoms Predict General Liability in Child Psychopathology

Objective: The current study examines how maternal depressive symptoms relate to child psychopathology when structured via the latent bifactor model of psychopathology, a new organizational structure of psychopathological symptoms consisting of a general common psychopathology factor (p-factor) and internalizing- and externalizing-specific risk.Method: Maternal report of depressive symptoms (Beck Depression Inventory - II) and child psychopathological symptoms (Child Behavior Checklist and Children's Behavior Questionnaire) were provided by 554 mother-child pairs. Children in the sample were 7.7 years old on average (SD = 1.35, range = 5-11 years), and were 49.8% female, 46% Latinx, and 67% White, 6% Black, 5% Asian/Pacific Islander, and 21% multiracial.Results: Maternal depressive symptoms were positively associated with the child p-factor but not with the internalizing- or externalizing-specific factors. We did not find evidence of sex/gender or race/ethnicity moderation when using latent factors of psychopathology. Consistent with past research, maternal depressive symptoms were positively associated with internalizing and externalizing composite scores on the Child Behavior Checklist.Conclusions: Findings suggest that maternal depressive symptoms are associated with transdiagnostic risk for broad child psychopathology (p-factor). Whereas the traditional Achenbach-style approach of psychopathological assessment suggests that maternal depressive symptoms are associated with both child internalizing and externalizing problems, the latent bifactor model suggests that these associations may be accounted for by risk pathways related to the p-factor rather than internalizing or externalizing specific risk. We discuss clinical and research implications of using a latent bifactor structure of psychopathology to understand how maternal depression may impact children's mental health.

The structure of dimensions of psychopathology in normative and clinical samples: Applying causal discovery to MMPI-2-RF scales to investigate clustering of psychopathology spectra and p-factors

We applied a Bayesian Constraint-based Causal Discovery method (BCCD) to examine the hierarchical structure of the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) Restructured Clinical (RC) scales. Two different general psychopathology super spectra (p-factor) scales were extracted from (1) all RC scales and (2) all RC scales except the RCd (Demoralization) scale. These p-factor scales were included in separate models to investigate the structure of dimensions of psychopathology in a normative (n = 3,242) and clinical (n = 2,466) sample, as well as the combined normative/clinical sample (N = 5,708), by applying the BCCD algorithm to obtain a data-driven reconstruction of the internal hierarchical structure of the MMPI-2-RF. Research on the underlying structure of the MMPI-2-RF has clinical relevance as well as conceptual relevance in the context of the HiTOP model. Results demonstrated that the syndromes measured with the RC-scales-in presence of a p-factor-cluster into six spectra: internalizing, disinhibited-externalizing, antagonistic-externalizing, thought disorder, detachment, and somatoform. These results may support a super spectrum construct, as it was necessary for obtaining a bottom-up reconstruction of this six-spectrum structure. We found support for superiority of a broad super spectrum with additional variance over and above demoralization, as it resulted in the clearest structure (i.e., clustering of the RC scales). Furthermore, our results indicate independent support for the bifactor structure model of psychopathology.

The relation between self-event connections and personality functioning in youth with severe psychopathology

Objective

One way in which individuals construct their narrative identity is by making self‐event connections, which are often linked to better functioning. Being unable to make connections is related to identity discontinuity and psychopathology. Work in the general population corroborates this association, but also highlights the importance of focusing on specific aspects of these connections and on vulnerable populations.

Method

We examined the association of self‐event connections with personality functioning in youth with severe psychopathology (cross‐sectional N = 228, M_age = 19.5, longitudinal N = 84), and the role of event and connection valence in the subsample of youth who made a connection (n = 188 and n = 68). Negative affectivity was controlled for in all models.

Results

We found no evidence that self‐event connections, nor connection valence and its interaction with event valence, are related to functioning. Positive event valence was associated with better functioning. Higher negative affectivity was strongly linked to lower functioning and explained the relation between event valence and functioning. No longitudinal associations emerged.

Conclusions

These findings show that for youth with severe psychopathology making self‐event connections may not be associated with better functioning. Moreover, negative affectivity may be a distal predictor of both event valence and functioning.

The 9-year clinical course of depressive and anxiety disorders: New NESDA findings

BACKGROUND

In longitudinal research, switching between diagnoses should be considered when examining patients with depression and anxiety. We investigated course trajectories of affective disorders over a nine-year period, comparing a categorical approach using diagnoses to a dimensional approach using symptom severity.

METHOD

Patients with a current depressive and/or anxiety disorder at baseline (N = 1701) were selected from the Netherlands Study of Depression and Anxiety (NESDA). Using psychiatric diagnoses, we described 'consistently recovered,' 'intermittently recovered,' 'intermittently recurrent', and 'consistently chronic' at two-, four-, six-, and nine-year follow-up. Additionally, latent class growth analysis (LCGA) using depressive, anxiety, fear, and worry symptom severity scores was used to identify distinct classes.

RESULTS

Considering the categorical approach, 8.5% were chronic, 32.9% were intermittently recurrent, 37.6% were intermittently recovered, and 21.0% remained consistently recovered from any affective disorder at nine-year follow-up. In the dimensional approach, 66.6% were chronic, 25.9% showed partial recovery, and 7.6% had recovered.

LIMITATIONS

30.6% of patients were lost to follow-up. Diagnoses were rated by the interviewer and questionnaires were completed by the participant.

CONCLUSIONS

Using diagnoses alone as discrete categories to describe clinical course fails to fully capture the persistence of affective symptoms that were observed when using a dimensional approach. The enduring, fluctuating presence of subthreshold affective symptoms likely predisposes patients to frequent relapse. The commonness of subthreshold symptoms and their adverse impact on long-term prognoses deserve continuous clinical attention in mental health care as well further research.

Internalizing-externalizing comorbidity and regional brain volumes in the ABCD study

Despite nonoverlapping diagnostic criteria, internalizing and externalizing disorders show substantial comorbidity. This comorbidity is attributable, at least in part, to transdiagnostic neuroaffective mechanisms. Both unipolar depression and externalizing disorders are characterized by structural and functional compromises in the striatum and its projections to the anterior cingulate cortex (ACC) and other frontal regions. Smaller volumes and dampened reward responding in these regions are associated with anhedonia and irritability - mood states that cut across the internalizing and externalizing spectra. In contrast, smaller amygdala volumes and dampened amygdala function differentiate externalizing disorders from internalizing disorders. Little is known, however, about associations between internalizing-externalizing comorbidity and brain volumes in these regions, or whether such patterns differ by sex. Using a transdiagnostic, research domain criteria (RDoC)-informed approach, we evaluate associations between heterotypic (Internalizing × Externalizing) symptom interactions and striatal, amygdalar, and ACC volumes among participants in the Adolescent Brain Cognitive Development study (N = 6,971, mean age 9.9 years, 51.6% female). Heterotypic symptoms were associated with ACC volumes for both sexes, over and above the main effects of internalizing and externalizing alone. However, heterotypic comorbidity was associated with larger ACC volumes for girls, but with smaller ACC volumes for boys. These findings suggest a need for further studies and transdiagnostic assessment by sex.

Previous disorders and depression outcomes in individuals with 12-month major depressive disorder in the World Mental Health surveys

AIMS

Major depressive disorder (MDD) is characterised by a recurrent course and high comorbidity rates. A lifespan perspective may therefore provide important information regarding health outcomes. The aim of the present study is to examine mental disorders that preceded 12-month MDD diagnosis and the impact of these disorders on depression outcomes.

METHODS

Data came from 29 cross-sectional community epidemiological surveys of adults in 27 countries (n = 80 190). The Composite International Diagnostic Interview (CIDI) was used to assess 12-month MDD and lifetime DSM-IV disorders with onset prior to the respondent's age at interview. Disorders were grouped into depressive distress disorders, non-depressive distress disorders, fear disorders and externalising disorders. Depression outcomes included 12-month suicidality, days out of role and impairment in role functioning.

RESULTS

Among respondents with 12-month MDD, 94.9% (s.e. = 0.4) had at least one prior disorder (including previous MDD), and 64.6% (s.e. = 0.9) had at least one prior, non-MDD disorder. Previous non-depressive distress, fear and externalising disorders, but not depressive distress disorders, predicted higher impairment (OR = 1.4-1.6) and suicidality (OR = 1.5-2.5), after adjustment for sociodemographic variables. Further adjustment for MDD characteristics weakened, but did not eliminate, these associations. Associations were largely driven by current comorbidities, but both remitted and current externalising disorders predicted suicidality among respondents with 12-month MDD.

CONCLUSIONS

These results illustrate the importance of careful psychiatric history taking regarding current anxiety disorders and lifetime externalising disorders in individuals with MDD.

Toward a Model of Personality Competencies Underlying Social and Emotional Skills: Insight From the Circumplex of Personality Metatraits

In recent years, there has been a growing interest in social and emotional skills (SES) both in the scientific literature and in social practice. The paper presents an overview of the ways of understanding what SES are and the catalogs thereof. There are some attempts in the literature to organize these catalogs within the Big Five traits that for a long time was claimed to be the most sound model of basic orthogonal dimensions of personality. However, further research on personality structure revealed that two metatraits can be found above the Big Five traits. These two metatraits form the basis of the Two Factor Model of personality, which was later developed into the Circumplex of Personality Metatraits. It turned out that in certain aspects models based on metatraits have a greater theoretical potential than those based on the Big Five traits. The paper presents a proposal for describing SES from the perspective of the Circumplex of Personality Metatraits rather than the Big Five. In this framework, we distinguish the concept of personality competences that underlie and organize many specific SES and identify the core personality competencies on the basis of the Circumplex of Personality Metatraits model.

Risk factors of violent offending in mentally ill prisoners with autism spectrum disorders

BACKGROUND

Results of research regarding a possible causal relation between autism spectrum disorders (ASDs) and violence are mixed. Several explanations have been proposed.

AIMS

To assess prevalence rates of comorbid disorders in a large sample of mentally ill offenders diagnosed with ASD. Offenders with and without comorbid mental disorders were compared on several characteristics. To better understand the relationship between ASD and violent criminal behavior, the predictive value of several proposed risk factors (comorbidity, negative social network/influenceability, and childhood trauma/victimization) on violent offending was investigated.

METHOD

Data of 394 male offenders with a diagnosis of ASD were included. Prevalence rates of comorbid mental disorders next to ASD were calculated, and characteristics were compared using chi-square or t-tests. The predictive value of the risk factors was assessed using a binary logistic regression (n = 357).

RESULTS

High rates of comorbidity were found (78.9%), specifically for substance use disorders (39.8%), schizophrenia spectrum disorders (31.7%), and neurodevelopmental disorder other than ASD (24.1%). Offenders with and without comorbidity differed significantly in their criminal and mental health care history. Both comorbidity (OR = 1.68; 95% CI 1.27-2.18) and a negative social network/influenceability (OR = 1.49; 95% CI 1.11-1.99) showed to be significant predictors of violent offending within this sample.

CONCLUSIONS

The highest rates of comorbid disorders found were disorders that have been previously linked to violent offending, and the risk of violent offending could be unrelated to ASD. However, the role of social functioning indicates a risk specific to the symptoms of ASD.

Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership

INTRODUCTION

Mental disorders are among the most prevalent health problems of the adult population in the world. This study aimed to identify the subgroups of staff based on mental disorders and assess the independent role of metabolic syndrome (MetS) on the membership of participants in each latent class.

METHODS

This cross-sectional study was conducted among 694 staff of a military unit in Tehran in 2017. All staff of this military unit was invited to participate in this study. The collected data included demographic characteristics, anthropometric measures, blood pressure, biochemical parameters, and mental disorders. We performed latent class analysis using a procedure for latent class analysis (PROC LCA) in SAS to identify class membership of mental disorders using Symptom Checklist-90.

RESULTS

Three latent classes were identified as healthy (92.7%), mild (4.9%), and severe (2.4%) mental disorders. Having higher age significantly decreased the odds of belonging to the mild class (adjusted OR (aOR = 0.21; 95% confidence interval (CI): 0.05-0.83) compared to the healthy class. Also, obesity decreased the odds of membership in mild class (aOR = 0.10, 95% CI: 0.01-0.92) compared to healthy class. On the other hand, being female increased the odds of being in severe class (aOR = 9.76; 95% CI: 1.35-70.65) class in comparison to healthy class.

CONCLUSION

This study revealed that 7.3% of staff fell under mild and severe classes. Considering educational workshops in the workplace about mental disorders could be effective in enhancing staff's knowledge of these disorders. Also, treatment of comorbid mental disorders may help reduce their prevalence and comorbidity.

The Clinical Relevance of Interdisciplinary Research on Affect Regulation in the Analytic Relationship

After more than a century of existence, theoretical development, research, and clinical practice within the psychoanalytic movement have consistently demonstrated that psychoanalysis is not a unitary and autonomous discipline. This has been evidenced by the various ways in which psychoanalytic thought and practice have been informed by and have established a dialogue-more or less fruitful-with related disciplines (neurosciences, developmental psychology, psychotherapy research, attachment theory and research, feminism, philosophy). This dialogue has contributed to a better understanding of the functioning of the human psyche, and therefore of the analytic process, informing clinical interventions. In turn, it has enriched research on psychoanalytic practice and process, underlining the fact that research in psychoanalysis is fundamentally about clinical practice. Since its origins, psychoanalysis has made explicit the work on the patient-analyst relationship as the terrain in which the analytic process unfolds. For its part, research in psychotherapy has demonstrated the relevance of the therapeutic relationship for the good development and outcome of any psychotherapeutic process. This supports the argument that research in clinical psychoanalysis should be research on the impact of the analyst interventions on the analyst-patient relationship. In this context, a central element of what happens in the analytic relationship refers to affect communication and therefore, affect regulation, which is manifested in the transferential and counter-transferential processes, as well as in the therapeutic bond. On the other hand, affective regulation is found at the crossroads of etiopathogenesis, complex personality models and psychopathology, allowing the understanding of human functioning and the staging of these configurations in the patient-analyst relationship. In this way, research on affective regulation in the analytic process is proposed as a path that exemplifies interdisciplinary research and scientific pluralism from which psychoanalysis enriches and progresses as a discipline. The case of a line of research on affective regulation in psychoanalytic psychotherapy is illustrated. The need to resort to other disciplines, as well as the translational value of our research and its clinical usefulness, is discussed.

The Etiologic, Theory-Based, Ontogenetic Hierarchical Framework of Alcohol Use Disorder: A Translational Systematic Review of Reviews

Modern nosologies (e.g., ICD-11, DSM-5) for alcohol use disorder (AUD) and dependence prioritize reliability and clinical presentation over etiology, resulting in a diagnosis that is not always strongly grounded in basic theory and research. Within these nosologies, DSM-5 AUD is treated as a discrete, largely categorical, but graded, phenomenon, which results in additional challenges (e.g., significant phenotypic heterogeneity). Efforts to increase the compatibility between AUD diagnosis and modern conceptualizations of alcohol dependence, which describe it as dimensional and partially overlapping with other psychopathology (e.g., other substance use disorders) will inspire a stronger scientific framework and strengthen AUD's validity. We conducted a systematic review of 144 reviews to integrate addiction constructs and theories into a comprehensive framework with the aim of identifying fundamental mechanisms implicated in AUD. The product of this effort was the Etiologic, Theory-Based, Ontogenetic Hierarchical Framework (ETOH Framework) of AUD mechanisms, which outlines superdomains of cognitive control, reward, as well as negative valence and emotionality, each of which subsume narrower, hierarchically-organized components. We also outline opponent processes and self-awareness as key moderators of AUD mechanisms. In contrast with other frameworks, we recommend an increased conceptual role for negative valence and compulsion in AUD. The ETOH framework serves as a critical step towards conceptualizations of AUD as dimensional and heterogeneous. It has the potential to improve AUD assessment and aid in the development of evidence-based diagnostic measures that focus on key mechanisms in AUD, consequently facilitating treatment matching.

Does the unified protocol really change neuroticism? Results from a randomized trial

BACKGROUND

Neuroticism is associated with the onset and maintenance of a number of mental health conditions, as well as a number of deleterious outcomes (e.g. physical health problems, higher divorce rates, lost productivity, and increased treatment seeking); thus, the consideration of whether this trait can be addressed in treatment is warranted. To date, outcome research has yielded mixed results regarding neuroticism's responsiveness to treatment, perhaps due to the fact that study interventions are typically designed to target disorder symptoms rather than neuroticism itself. The purpose of the current study was to explore whether a course of treatment with the unified protocol (UP), a transdiagnostic intervention that was explicitly developed to target neuroticism, results in greater reductions in neuroticism compared to gold-standard, symptom focused cognitive behavioral therapy (CBT) protocols and a waitlist (WL) control condition.

METHOD

Patients with principal anxiety disorders (N = 223) were included in this study. They completed a validated self-report measure of neuroticism, as well as clinician-rated measures of psychological symptoms.

RESULTS

At week 16, participants in the UP condition exhibited significantly lower levels of neuroticism than participants in the symptom-focused CBT (t(218) = -2.17, p = 0.03, d = -0.32) and WL conditions(t(207) = -2.33, p = 0.02, d = -0.43), and these group differences remained after controlling for simultaneous fluctuations in depression and anxiety symptoms.

CONCLUSIONS

Treatment effects on neuroticism may be most robust when this trait is explicitly targeted.

Fear conditioning and extinction in obsessive-compulsive disorder: A systematic review

Laboratory experiments using fear conditioning and extinction protocols help lay the groundwork for designing, testing, and optimizing innovative treatments for anxiety-related disorders. Yet, there is limited basic research on fear conditioning and extinction in obsessive-compulsive disorder (OCD). This is surprising because exposure-based treatments based on associative learning principles are among the most popular and effective treatment options for OCD. Here, we systematically review and critically assess existing aversive conditioning and extinction studies of OCD. Across 12 studies, there was moderate evidence that OCD is associated with abnormal acquisition of conditioned responses that differ from comparison groups. There was relatively stronger evidence of OCD's association with impaired extinction processes. This included multiple studies finding elevated conditioned responses during extinction learning and poorer threat/safety discrimination during recall, although a minority of studies yielded results inconsistent with this conclusion. Overall, the conditioning model holds value for OCD research, but more work is necessary to clarify emerging patterns of results and increase clinical translational utility to the level seen in other anxiety-related disorders. We detail limitations in the literature and suggest next steps, including modeling OCD with more complex conditioning methodology (e.g., semantic/conceptual generalization, avoidance) and improving individual-differences assessment with dimensional techniques.

An interaction between early threat exposure and the oxytocin receptor in females: Disorder-specific versus general risk for psychopathology and social-emotional mediators

Early threat exposure is a transdiagnostic risk factor for psychopathology, and evidence suggests that genetic variation in the oxytocin receptor (OXTR) moderates this association. However, it is unclear if this gene-by-environment (G×E) interaction is tied to unique risk for disorder-specific outcomes or instead increases shared risk for general psychopathology. Moreover, little is known about how this G×E interaction increases risk. The current study utilized a prospective, longitudinal sample of females (n = 2,020) to examine: (a) whether the interaction between early threat exposure and OXTR variation (rs53576, rs2254298) confers risk for disorder-specific outcomes (depression, anxiety, borderline and antisocial personality disorders) and/or general psychopathology in early adulthood; and (b) whether social-emotional deficits (emotion dysregulation, callousness, attachment quality) during adolescence constitute mediating mechanisms. Consistent with hypotheses, the interactive effects of early threat exposure and OXTR variation (rs53576) predicted general psychopathology, with threat-exposed women carrying at least one copy of the rs53576 A-allele at greatest risk. This interaction was mediated via emotional dysregulation in adolescence, with threat-exposed A-allele carriers demonstrating greater emotion dysregulation, and greater emotion dysregulation predicting general psychopathology in early adulthood. Findings suggest that this G×E places women at risk for a broad range of psychopathology via effects on emotion dysregulation.

Evaluating the criterion validity of hierarchical psychopathology dimensions across models: Familial aggregation and associations with research domain criteria (sub)constructs

The Hierarchical Taxonomy of Psychopathology (HiTOP) posits that psychopathology is a hierarchy of correlated dimensions. Numerous studies have examined the validity of these dimensions using bifactor models, in which each disorder loads onto both a general and specific factor (e.g., internalizing, externalizing). Although bifactor models tend to fit better than alternative models, concerns have been raised about bifactor model selection, factor reliability, and interpretability. Therefore, we compared the reliability and validity of several higher-order HiTOP dimensions between bifactor and correlated factor models using familial aggregation and associations with Research Domain Criteria (RDoC; sub)constructs as validators. Lifetime psychopathology was assessed in a community sample (N = 504) using dimensional disorder severity scales calculated from semistructured interview data. A series of unidimensional, correlated factor, and bifactor models were fit to model several HiTOP dimensions. A bifactor model with two specific factors (internalizing and disinhibited externalizing) and a correlated two-factor model provided the best fit to the data. HiTOP dimensions had adequate reliability in the correlated factor model, but suboptimal reliability in the bifactor model. The disinhibited externalizing dimension was highly correlated across the two models and was familial, yet largely unrelated to RDoC (sub)constructs in both models. The internalizing dimension in the correlated factor model and the general factor in the bifactor model were highly correlated and had similar validity patterns, suggesting the general factor was largely redundant with the internalizing dimension in the correlated factor model. These findings support concerns about the interpretability of psychopathology dimensions in bifactor models. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Autistic Personality Traits and Treatment Outcome for Alcohol Use Disorders

ABSTRACT

The importance of personality traits for the outcome of psychiatric treatment, including treatment for alcohol use disorder (AUD), has been widely acknowledged. Also, research on autism spectrum disorders has evolved in recent years, emphasizing that the behavioral traits within these neuropsychiatric disorders exist on a dimension both within and outside the boundaries of psychopathology. In the present study, the relationship between personality traits associated with autistic functioning and level of alcohol use among patients before and after concluded AUD treatment was investigated. The participants (n = 165, diagnosed with AUD) were part of a longitudinal project on AUD treatment. Data from personality questionnaires (Structured Clinical Interview of Personality Disorders II and Temperament and Character Inventory) were used to assess autistic personality traits (APTs) based on behavior within Wing's triad, which were related to background and treatment outcome. The chosen APT items illustrated a personality functioning with an emphasis on social interaction and rigidity. Only certain included questions were indicative of still having a problematic drinking pattern 2.5 years after treatment entry, which adhered to phobic, obsessive-compulsive, and schizoid personality traits, as well as rigidity/stubbornness. Albeit with modest influence, the degree of APTs was associated with heavier drinking at treatment entry, and symptoms relating to social interaction and rigidity were associated with still having a problematic drinking pattern 2.5 years after treatment entry. A higher degree of such traits may result in having problems taking advice from others and establishing treatment alliance, important parts of treatment efficacy, making assessment of such traits relevant to clinicians.

The Impact of Personality Pathology Across Three Generations: Evidence from the St. Louis Personality and Intergenerational Network Study

Personality disorder (PD) symptoms in a parent generation may confer risk for problems in future generations, but intergenerational transmission has not been studied beyond parent-child effects. We examined the generational transfer of risk associated with PDs using structural models of grandparent personality pathology and grandchild psychopathology among 180 adults (M age =66.9), 218 of their children (M age =41.2), and 337 of their grandchildren (M age =10.5). We found evidence for general and heterotypic domain-specific transmission. Specifically, broad grandparent personality pathology was associated with broad grandchild psychopathology (B=.15, 95% CI [-.01, .31]); at the domain level, grandparent internalizing personality pathology was associated with grandchild externalizing psychopathology (B =.06, 95% CI [.01, .12]). Neither association was significantly mediated by parental personality pathology. These findings indicate that personality pathology in one generation confers risk for psychopathology across subsequent generations. Such intergenerational transmission operates across broad, rather than specific (i.e., individual disorder) psychopathology domains.

Can network analysis of self-reported psychopathology shed light on the core phenomenology of bipolar disorders in adolescents and young adults?

OBJECTIVES

Network analysis is increasingly applied to psychopathology research. We used it to examine the core phenomenology of emerging bipolar disorder (BD I and II) and 'at risk' presentations (major depression with a family history of BD).

METHODOLOGY

The study sample comprised a community cohort of 1867 twin and nontwin siblings (57% female; mean age ~26) who had completed self-report ratings of (i) depression-like, hypomanic-like and psychotic-like experiences; (ii) family history of BD; and (iii) were assessed for mood and psychotic syndromes using the Composite International Diagnostic Interview (CIDI). Symptom networks were compared for recent onset BD versus other cohort members and then for individuals at risk of BD (depression with/without a family history of BD).

RESULTS

The four key symptoms that differentiated recent onset BD from other cohort members were: anergia, psychomotor speed, hypersomnia and (less) loss of confidence. The four key symptoms that differentiated individuals at high risk of BD from unipolar depression were anergia, psychomotor speed, impaired concentration and hopelessness. However, the latter network was less stable and more error prone.

CONCLUSIONS

We are encouraged by the overlaps between our findings and those from two recent publications reporting network analyses of BD psychopathology, especially as the studies recruited from different populations and employed different network models. However, the advantages of applying network analysis to youth mental health cohorts (which include many individuals with multimorbidity) must be weighed against the disadvantages including basic issues such as judgements regarding the selection of items for inclusion in network models.

Maternal caregiving ameliorates the consequences of prenatal maternal psychological distress on child development

Children exposed to prenatal maternal psychological distress are at elevated risk for a range of adverse outcomes; however, it remains poorly understood whether postnatal influences can ameliorate impairments related to prenatal distress. The current study evaluated if sensitivematernal care during the first postnatal year could mitigate child cognitive and emotional impairments associated with prenatal psychological distress. Prenatal maternal psychological distress was assessed via self-reports of anxiety, depression, and perceived stress for 136 mothers at five prenatal and four postpartum time points. Quality of maternal care (sensitivity to nondistress, positive regard, and intrusiveness reverse-scored) were assessed during a mother-child play interaction at 6 and 12 months. Child cognitive function and negative emotionality were assessed at 2 years, using The Bayley Scales and the Early Childhood Behavior Questionnaire. Elevated prenatal distress was associated with poorer child cognitive function and elevated negative emotionality. Children exposed to elevated prenatal maternal distress did not, however, display these outcomes if they received high-quality caregiving. Specifically, maternal care moderated the relation between prenatal psychological distress and child cognitive function and negative emotionality. This association remained after consideration of postnatal maternal psychological distress and relevant covariates. Sensitive maternal care was associated with altered offspring developmental trajectories, supporting child resilience following prenatal distress exposure.

Contributing factors to advanced brain aging in depression and anxiety disorders

Depression and anxiety are common and often comorbid mental health disorders that represent risk factors for aging-related conditions. Brain aging has shown to be more advanced in patients with major depressive disorder (MDD). Here, we extend prior work by investigating multivariate brain aging in patients with MDD, anxiety disorders, or both, and examine which factors contribute to older-appearing brains. Adults aged 18-57 years from the Netherlands Study of Depression and Anxiety underwent structural MRI. A pretrained brain-age prediction model based on >2000 samples from the ENIGMA consortium was applied to obtain brain-predicted age differences (brain PAD, predicted brain age minus chronological age) in 65 controls and 220 patients with current MDD and/or anxiety. Brain-PAD estimates were associated with clinical, somatic, lifestyle, and biological factors. After correcting for antidepressant use, brain PAD was significantly higher in MDD (+2.78 years, Cohen's d = 0.25, 95% CI -0.10-0.60) and anxiety patients (+2.91 years, Cohen's d = 0.27, 95% CI -0.08-0.61), compared with controls. There were no significant associations with lifestyle or biological stress systems. A multivariable model indicated unique contributions of higher severity of somatic depression symptoms (b = 4.21 years per unit increase on average sum score) and antidepressant use (-2.53 years) to brain PAD. Advanced brain aging in patients with MDD and anxiety was most strongly associated with somatic depressive symptomatology. We also present clinically relevant evidence for a potential neuroprotective antidepressant effect on the brain-PAD metric that requires follow-up in future research.

Event-related potential (ERP) measures of error processing as biomarkers of externalizing disorders: A narrative review

Previous studies have shown that electrophysiological measures of error processing are affected in patients at risk or diagnosed with internalizing disorders, hence, suggesting that error processing could be a suitable biomarker for internalizing disorders. In this narrative review, we will evaluate studies that address the role of event-related potential (ERP) measures of error-processing in externalizing disorders and discuss to what extend these can be considered a biomarker for externalizing disorders. Currently, there is evidence for the notion that electrophysiological indices of error processing such as the error-related negativity (ERN) and error positivity (Pe) are reduced in individuals with substance use disorders, attention-deficit/hyperactivity disorder, and in forensic populations. However, it remains unclear whether this is also the case for other understudied disorders such as behavioral addiction. Furthermore, to fully understand how these deficits affect day to day behavior, we encourage research to focus on testing current theories and hypotheses of ERN and Pe. In addition, we argue that within an externalizing disorder, individual differences in error processing deficits may be related to prognosis and gender of the patient, methodological issues and presence of comorbidity. Next, we review studies that have related treatment trajectories with ERP measures of error processing, and we discuss the prospect of improving error processing as a treatment option. We conclude that ERP measures of error processing are candidate biomarkers for externalizing disorders, albeit we strongly urge researchers to continue looking into the predictive value of these measures in the etiology and treatment outcome through multi-method and longitudinal designs.

Schema modes and their associations with emotion regulation, mindfulness, and self-compassion among patients with personality disorders

BACKGROUND

The current study's goal was to examine the multivariate patterns of associations between schema modes and emotion regulation mechanisms in personality disorders. Schema modes are either integrated or dissociative states of mind, including intense emotional states, efforts to regulate emotions, or self-reflective evaluative thought processes. Exploring the multivariate patterns of a shared relationship between schema modes and emotion regulation strategies may lead to a better understanding of their associations and a deeper understanding of the latent personality profiles that organize their associations in a mixed personality disorder sample.

METHODS

Patients who have personality disorders (N = 263) filled out five different self-report questionnaires, out of which four measured adaptive and maladaptive emotion-regulation strategies (Cognitive Emotion Regulation Questionnaire, Difficulty of Emotion Regulation Scale, Five Factor Mindfulness Questionnaire, Self-Compassion Scale), and the fifth one assessed schema modes (Schema Mode Inventory). We conducted canonical correlation analysis in order to measure the multivariate patterns of associations between the 26 emotion regulation and the 14 schema mode subscales.

RESULTS

We found strong multivariate associations between schema modes and emotion regulation strategies. Collectively, the full model based on all canonical variate pairs was statistically significant using the Wilks's Λ = .01 criterion, F (364,2804.4) = 3.5, p < .001. The first two canonical variate pairs yielded interpretable squared canonical correlation (Rc²) effect sizes of 74.7% and 55.8%, respectively. The first canonical variate pair represents a general personality pathology variable with a stronger weight on internalization than externalization, and bipolarity in terms of adaptive vs. non-adaptive characteristics. We labeled this variate pair "Adaptive/Non-Adaptive." The second canonical variate pair, labeled "Externalizing", represents externalizing schema modes and emotion regulation strategies.

CONCLUSION

Using a multivariate approach (CCA), we identified two independent patterns of multivariate associations between maladaptive schema modes and emotion regulation strategies. The Adaptive/Non-Adaptive general personality pathology profile and the Externalizing personality pathology profile may lead to a deeper understanding of personality disorders and help psychotherapists in their conceptualization in order to design the most appropriate interventions.

Days out of role and somatic, anxious-depressive, hypo-manic, and psychotic-like symptom dimensions in a community sample of young adults

Improving our understanding of the causes of functional impairment in young people is a major global challenge. Here, we investigated the relationships between self-reported days out of role and the total quantity and different patterns of self-reported somatic, anxious-depressive, psychotic-like, and hypomanic symptoms in a community-based cohort of young adults. We examined self-ratings of 23 symptoms ranging across the four dimensions and days out of role in >1900 young adult twins and non-twin siblings participating in the "19Up" wave of the Brisbane Longitudinal Twin Study. Adjusted prevalence ratios (APR) and 95% confidence intervals (95% CI) quantified associations between impairment and different symptom patterns. Three individual symptoms showed significant associations with days out of role, with the largest association for impaired concentration. When impairment was assessed according to each symptom dimension, there was a clear stepwise relationship between the total number of somatic symptoms and the likelihood of impairment, while individuals reporting ≥4 anxious-depressive symptoms or five hypomanic symptoms had greater likelihood of reporting days out of role. Furthermore, there was a stepwise relationship between the total number of undifferentiated symptoms and the likelihood of reporting days out of role. There was some suggestion of differences in the magnitude and significance of associations when the cohort was stratified according to sex, but not for age or twin status. Our findings reinforce the development of early intervention mental health frameworks and, if confirmed, support the need to consider interventions for subthreshold and/or undifferentiated syndromes for reducing disability among young people.

The distribution of daily affect distinguishes internalizing and externalizing spectra and subfactors

There has been increasing recognition that classically defined psychiatric disorders cluster hierarchically. However, the degree to which this hierarchical taxonomy manifests in the distribution of one's daily affective experience is unknown. In 462 young adults, we assessed psychiatric symptoms across internalizing and externalizing disorders and then used cell-phone-based ecological momentary assessment (EMA) to assess the distribution (mean, standard deviation, skew, kurtosis) of one's positive and negative affect over 3-4 months. Psychiatric symptoms were modeled using a higher-order factor model that estimated internalizing and externalizing spectra as well as specific disorders. Individualized factor loadings were extracted, and path models assessed associations between spectra and syndromes, and daily affect. Internalizing and externalizing spectra displayed broad differences in the distribution of affective experiences, while within the internalizing spectrum, syndromes loading onto fear and distress subfactors were associated with distinct patterns of affective experiences. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Regulatory focus and the p factor: Evidence for self-regulatory dysfunction as a transdiagnostic feature of general psychopathology

A general psychopathology ('p') factor captures transdiagnostic features of mental illness; however, the meaning of the p factor remains unclear. Regulatory focus theory postulates that individuals regulate goal pursuit either by maximizing gains (promotion) or minimizing losses (prevention). As maladaptive goal pursuit has been associated with multiple categorical disorders, we examined whether individual differences in promotion and prevention goal pursuit are associated with p as well as internalizing- and externalizing-specific factors using structural equation modeling of data from 1330 volunteers aged 18-22. Unsuccessful attainment of promotion and prevention goals was related to increased levels of p. Over and above relations with the p factor, unsuccessful attainment of promotion goals was associated with higher internalizing-specific psychopathology, whereas unsuccessful attainment of prevention goals was related to higher externalizing-specific psychopathology. These associations also were separable from related personality traits. After controlling for sex differences in the composition of the psychopathology factors, there were no sex differences in the relations between promotion and prevention goal pursuit and p and specific internalizing and externalizing factors. These findings suggest higher general psychopathology reflects poorer overall self-regulation of goal pursuit and that maladaptive promotion and prevention orientations also are associated with internalizing- and externalizing-specific psychopathology, respectively.

Distinguishing Transdiagnostic versus Disorder-Specific Pathways between Ruminative Brooding and Internalizing Psychopathology in Adolescents: A Latent Variable Modeling Approach

Rumination is correlated with diverse types of internalizing problems, but the extent to which it relates to a higher-order internalizing spectrum versus disorder-specific pathology is unclear. Using a quantitative model of the internalizing dimension, we compared the strength of transdiagnostic versus diagnosis-specific pathways from brooding-the most depressogenic component of rumination-to major depressive disorder (MDD) in adolescents. Community-recruited mid-adolescents (N = 241, M_age = 15.90 years, 53% female) completed semi-structured interviews of anxiety and depressive conditions and a self-report brooding measure. Confirmatory factor analysis revealed good fit for a one-factor model of internalizing conditions. Results revealed a large, significant factor correlation between brooding and the internalizing factor (r = 0.55), with some evidence for a more modest specific link between brooding and the unique component of the MDD diagnosis (r = 0.17; approximately one-third as large as the transdiagnostic pathway). These cross-sectional associations were generally consistent across two assessment waves separated by 19 months. We concluded that brooding is better conceptualized as a common characteristic of all internalizing problems in adolescence, rather than a specific feature of MDD. Preregistered hypotheses, data analysis code, and correlation matrices for this study are posted at https://osf.io/dax7u/ .

Neural Modulation in Approach-Avoidance Conflicts in Externalizing Psychopathology

Externalizing psychopathology (EXT) is characterized by poor decision-making in situations that involve simultaneous cues for approach and avoidance behavior (i.e. approach-avoidance conflicts). Previous studies of EXT have examined these deficits primarily using tasks involving decisions between positive reward and negative punishment, suggesting that EXT is characterized by a general bias towards high salience (e.g. temporally proximal or reward) cues relative to low salience (e.g. temporally distal or loss) cues. However, in order to better characterize decision-making in approach-avoidance conflicts, the present study utilized a novel task to examine neural activation in contexts involving both positive reward and negative punishment as well as positive punishment and negative reward by manipulating physical proximity of affective cues. Neuroimaging results indicated that EXT was associated with deficits related to cue prioritization based on salience, suggesting that failure to differentiate relevant from less relevant information contributes to poor decision-making among individuals with EXT.

The phase space of meaning model of psychopathology: A computer simulation modelling study

INTRODUCTION

The hypothesis of a general psychopathology factor that underpins all common forms of mental disorders has been gaining momentum in contemporary clinical research and is known as the p factor hypothesis. Recently, a semiotic, embodied, and psychoanalytic conceptualisation of the p factor has been proposed called the Harmonium Model, which provides a computational account of such a construct. This research tested the core tenet of the Harmonium model, which is the idea that psychopathology can be conceptualised as due to poorly-modulable cognitive processes, and modelled the concept of Phase Space of Meaning (PSM) at the computational level.

METHOD

Two studies were performed, both based on a simulation design implementing a deep learning model, simulating a cognitive process: a classification task. The level of performance of the task was considered the simulated equivalent to the normality-psychopathology continuum, the dimensionality of the neural network's internal computational dynamics being the simulated equivalent of the PSM's dimensionality.

RESULTS

The neural networks' level of performance was shown to be associated with the characteristics of the internal computational dynamics, assumed to be the simulated equivalent of poorly-modulable cognitive processes.

DISCUSSION

Findings supported the hypothesis. They showed that the neural network's low performance was a matter of the combination of predicted characteristics of the neural networks' internal computational dynamics. Implications, limitations, and further research directions are discussed.

Phenotypic and genetic markers of psychopathology in a population-based sample of older adults

Although psychiatric phenotypes are hypothesized to organize into a two-factor internalizing-externalizing structure, few studies have evaluated the structure of psychopathology in older adults, nor explored whether genome-wide polygenic scores (PGSs) are associated with psychopathology in a domain-specific manner. We used data from 6003 individuals of European ancestry from the Health and Retirement Study, a large population-based sample of older adults in the United States. Confirmatory factor analyses were applied to validated measures of psychopathology and PGSs were derived from well-powered genome-wide association studies (GWAS). Genomic SEM was implemented to construct latent PGSs for internalizing, externalizing, and general psychopathology. Phenotypically, the data were best characterized by a single general factor of psychopathology, a factor structure that was replicated across genders and age groups. Although externalizing PGSs (cannabis use, antisocial behavior, alcohol dependence, attention deficit hyperactivity disorder) were not associated with any phenotypes, PGSs for major depressive disorder, neuroticism, and anxiety disorders were associated with both internalizing and externalizing phenotypes. Moreover, the variance explained in the general factor of psychopathology increased by twofold (from 1% to 2%) using the latent internalizing or latent one-factor PGSs, derived using weights from Genomic Structural Equation Modeling (SEM), compared with any of the individual PGSs. Collectively, results suggest that genetic risk factors for and phenotypic markers of psychiatric disorders are transdiagnostic in older adults of European ancestry. Alternative explanations are discussed, including methodological limitations of GWAS and phenotypic measurement of psychiatric outcome in large-scale population-based studies.