Loneliness, epigenetic age acceleration, and chronic health conditions

Having associations with a range of adverse physical health outcomes including mortality, loneliness is increasingly recognized as a pressing public health concern, but the mechanisms studied to date do not yet explain all loneliness-related health risk. We sought to evaluate whether epigenetic influences on DNA methylation could help explain the relationship between loneliness and health. To do so, we first estimated associations between loneliness and epigenetic age acceleration (EAA) in a subsample of participants in the study of midlife in the United States (n = 1,310), before testing whether EAA mediated and/or moderated the association between loneliness and the onset of chronic health conditions in older adulthood (n = 445 completing longitudinal follow-ups). Greater loneliness was weakly associated with greater EAA in the Horvath, DunedinPACE, and GrimAge measures after accounting for demographic (0.08 ≤ β ≤ 0.11) and behavioral (0.06 ≤ β ≤ 0.08) covariates. Loneliness also predicted increases in chronic condition counts and these effects were more pronounced for individuals with higher DunedinPACE EAA values (interaction term β = 0.09, p = .009), suggesting possible synergistic impacts. EAA measures appear to be promising in helping to understand individual variations in the health impacts of loneliness, but the specific mechanisms involved require further research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Predicting nonsuicidal self-injury and suicidal risk: A comparison between the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition Section II personality disorder and alternative model of personality disorders dimensions

The clinical relevance of nonsuicidal self-injury (NSSI) has received growing recognition, and NSSI represents a relevant risk factor for suicide. The present study aimed at running a head-to-head comparison between interview scores of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Section II personality disorders (PDs) criteria, and DSM-5 Alternative Model of Personality Disorder (AMPD) Criterion A and Criterion B measures in providing significant and relevant information for understanding NSSI and suicidal ideation and behavior among psychotherapy participants. To this aim, a clinical sample of 103 adult participants was administered the Clinician-Administered Nonsuicidal Self-Injury Disorder Index (CANDI), the Columbia Suicide Severity Rating Scale (C-SSRS), as well as the Structured Clinical Interview for DSM-5 Personality Disorders, the Structured Clinical Interview for the DSM-5 Alternative Model for Personality Disorders Module I, and a self-report measure of dysfunctional personality traits (i.e., the Personality Inventory for DSM-5 [PID-5]). Logistic ordinal regression dominance analysis results showed that, when compared to the 10 DSM-5 Section II PD symptom counts, the DSM-5 Section III PD measure scores provided the same amount of information in the CANDI Global Severity Index scores (Nagelkerke pseudo-R² value = .41), and a markedly larger information quantity in the case of the C-SSRS Suicidal Ideation (+35.1%), and Suicidal Behavior Index (+35.9%) levels. As a whole, our data suggested the clinical usefulness of the DSM-5 AMPD in understanding NSSI and suicidal ideation and behavior. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

What is a psychopathology dimension?

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

Meeting counterfactual causality criteria is not the problem

Counterfactual causal interpretations of family genetic effects are appropriate, but neglect an important feature: Provision of unique information about expected outcomes following an independent decision, such as a decision to intervene. Counterfactual causality criteria are unlikely to resolve controversies about behavioral genetic findings; such controversies are likely to continue until counterfactual inferences are translated into interventional hypotheses and designs.

Are problem buying and problem gambling addictive, impulsive, or compulsive in nature? A network analysis and latent dimension analysis study in Italian community-dwelling adults

Prominent scholars suggested that the impulsive-obsessive compulsive continuum may represent a framework to understand both substance and behavioral addictions. However, the characterization of pathological buying (PB) and problem gambling (PG) within the compulsive-impulsive spectrum has not been extensively investigated. To explore the relationships among PB, PG, alcohol and substance abuse, DSM-5 obsessive-compulsive and related disorders, and impulsive dimensions, a sample of 1,005 Italian community-dwelling adult participants (55.5% female), was administered self-reported measures of PB, PG, and other theoretically-relevant constructs. We expected to observe a multidimensional structure in our data; moreover, DSM-5 obsessive compulsive and related disorders were hypothesized to be accounted for by a common dimension. Three dimensions were identified and replicated across two different, non-redundant methods (i.e., exploratory graph analysis and exploratory factor analysis), namely, substance use and gambling, obsessive and compulsive phenomena, and impulsivity dimensions. Specifically, PG seemed to represent a behavioral variant of addiction vulnerability, PB seemed more akin to obsessive-compulsive spectrum disorders, and disinhibition dimension represented the common core of negative urgency, lack of premeditation, lack of perseverance, sensation seeking (SS), and positive urgency. Our findings may be helpful in improving our knowledge on the similarities and differences between PB and PG.

The joint hierarchical structure of psychopathology and dysfunctional personality domain indicators among community-dwelling adults

To examine the hierarchical structure of psychopathology and dysfunctional personality domains, 2416 Italian community-dwelling adult volunteers were administered a set of psychometrically sound psychopathology measures and the Personality Inventory for DSM-5 Brief Form+ (PID-5-BF+). Parallel analysis, minimum average partial, and very simple structure results suggested that 1-6 principal components (PCs) should be retained. Goldberg's bass-ackwards model of the joint psychopathology measure and PID-5-BF+ ipsatized domain scale correlation matrix evidenced a hierarchical structure that was consistent with the working model proposed by the Hierarchical Taxonomy of Psychopathology (HiTOP) consortium. Hierarchical agglomerative cluster analysis around latent variables of the psychopathology indicators and PID-5-BF+ domain scales recovered four latent dimensions, which were akin to the corresponding bass-ackwards components and nicely reproduced the HiTOP Internalizing, Externalizing, Thought Disorder, and Eating Pathology dimensions.

Latent class analysis to characterize neonatal risk for neurodevelopmental differences

BACKGROUND

Neonatal risk factors, such as preterm birth and low birth weight, have been robustly linked to neurodevelopmental deficits, yet it is still unclear why some infants born preterm and/or low birth weight experience neurodevelopmental difficulties while others do not. The current study investigated this heterogeneity in neurodevelopmental abilities by examining additional neonatal morbidities as risk factors, utilizing latent class analysis to classify neonates into groups based on similar neonatal risk factors, and including neonates from the full spectrum of gestational age.

METHODS

Neonates who received neonatal care at an academic public hospital during an almost 10-year period (n = 19,951) were included in the latent class analysis, and 21 neonatal indicators of health were used. Neonatal class, sex, and the interaction between neonatal class and sex were used to examine differences in neurodevelopment at 18 months of age in a typically developing population.

RESULTS

The best fitting model included five infant classes: healthy, hypoxic, critically ill, minorly ill, and complicated delivery. Scores on the parent-rated neurodevelopmental measure differed by class such that infants in the critically ill, minorly ill, and complicated delivery classes had lower scores. There was no main effect of sex on the neurodevelopmental measure scores, but the interaction between sex and neonatal class was significant for three out of five neurodevelopmental domains.

CONCLUSIONS

The current study extends the understanding of risk factors in neurodevelopment by including several neonatal medical conditions that are often overlooked and by using a person-centered, as opposed to variable-centered, approach. Future work should continue to examine risk factors, such as maternal health during pregnancy and medical interventions for newborns, in relation to neonatal risks and neurodevelopment by using a person-centered approach.

Reliability as Lindley Information

This paper introduces a definition of reliability based on Lindley information, which is the mutual information between an observed measure and latent attribute. This definition reduces to the traditional definition of reliability in the case of normal variables, but can be applied to any joint distribution of observed and latent variables. Importantly, unlike traditional definitions of reliability, this formulation of reliability applies to vector- or matrix-valued estimates and summaries of responses, and therefore generalizes reliability to sets of scores and estimates in addition to individual scores and estimates. This formulation also leads to new bounds for reliability, as well as newly reported relationships between reliability and the traditional Fisher information function familiar in item response theory literature. This form of reliability can be estimated using formulae, or methods used in Bayesian inference such as Markov Chain Monte Carlo (MCMC) depending on the case. Examples based on well-studied datasets are provided, as well as applications to drift-diffusion modeling and randomly-varying intraindividual covariance structures.

Post-traumatic disorder symptom severity in the perspective of hierarchical taxonomy of psychopathology spectra and dysfunctional personality domains among trauma-exposed community-dwelling women

To assess the relationships between post-traumatic stress disorder (PTSD) components, Hierarchical Taxonomy of Psychopathology (HiTOP) spectra, and dysfunctional personality domains, the Post-Traumatic Checklist for DSM-5 (PCL-5); the Personality Inventory for DSM-5-Brief Form+ (PID-5BF+); and self-report measures of HiTOP Internalizing, Thought Disorders, and Externalizing spectra were administered to 387 trauma-exposed Italian community-dwelling women. Before structural equation modeling (SEM), measurement components of models were assessed using confirmatory factor analyses. Both taxometric and Gaussian mixture analysis results were consistent with a dimensional representation of the PCL-5 scores. SEM results showed that PTSD components, at least as they were operationalized by the PCL-5 scores, were positively, significantly, and substantially associated with HiTOP Internalizing and Thought Disorder Spectra latent dimensions, as well as with Negative Affectivity, Detachment, and Psychoticism personality domains.

A nine-month study on the course of COVID-19 related perceived post-traumatic stress disorder among Italian community-dwelling adults

The present study aimed to evaluate base rate estimates, course of, and psychopathology and personality risk factors for COVID-19-related post-traumatic stress disorder (PTSD) in community-dwelling adults during the pandemic. 203 participants from a sample of 811 Italian community-dwelling adults agreed to participate in a nine-month, three-wave (Wave 1: March 2020; Wave 2: June 2020; Wave 3: December 2020) longitudinal study. Participants in the longitudinal study did not differ from the cross-sectional original sample on age, gender, civil status, educational level, occupation, and Italian area of residence. At each wave, participants were administered the PTSD scale of the International Trauma Questionnaire (ITQ), DSM-5 measures of acute stress, dissociation, depression and anxiety, as well as a maladaptive personality domain measure at Wave 1. Participants were instructed to answer to the ITQ items based only on COVID-19 pandemic and related containment measures. The point prevalence estimates of COVID-19 related PTSD at each wave ranged from 11% to 13%; however, up to roughly 23% of our participants experienced clinically relevant PTSD features during nine months of the COVID-19 pandemic in Italy. Multiple logistic regression results showed that experiencing internalizing symptoms (i.e., mostly acute stress) and selected personality features (i.e., Negative Affectivity and Psychoticism) at Wave 1 represent risk factors for PTSD symptoms at later waves. These findings extend previous knowledge on COVID-19 related PTSD and support the need for preventive and treatment interventions for PTSD during the COVID-19 pandemic.

HiTOP Assessment of the Somatoform Spectrum and Eating Disorders

We report on Phase 1 efforts of the Hierarchical Taxonomy of Psychopathology (HiTOP) measurement subgroup tasked with developing provisional scales for the somatoform spectrum and eating disorders. In Study 1, items were written to assess five somatoform spectrum constructs (bodily distress symptoms, conversion symptoms, health anxiety, disease conviction, and somatic preoccupation). Scale development analyses were conducted on 550 university students. The conversion symptom items were too infrequently endorsed and were set aside for Phase 2. Analyses of the other items yielded four scales corresponding closely to their hypothesized structure. In Study 2, we delineated 15 specific feeding and eating disorder constructs. A sample of 400 university students were administered candidate items and several eating disorder questionnaires for criterion validity. Analyses yielded six scales capturing previously described constructs, tapping content related to body image and weight concerns, restricting and purging, cognitive restraint, binging, excessive exercise, and muscle building. Two scales representing additional constructs deemed to be of high clinical import-negative attitude towards obesity and avoidant/restrictive food intake disorder-were retained for Phase 2, for a total of eight scales. Overall, we concluded that Phase 1 had been successful at generating a comprehensive set of provisional scales for inclusion in Phase 2.

The relationship between obsessive-compulsive spectrum disorders and DSM-5 dysfunctional personality domains in a nonclinical sample of Italian women

To evaluate the usefulness of the DSM-5 maladaptive personality domains in explaining the similarities and differences among four disorders included in the obsessive-compulsive spectrum, 428 Italian community-dwelling women (mean age = 31.96 years, SD = 12.30 years) were administered the Obsessive-Compulsive Spectrum Disorder Scales and the Personality Inventory for DSM-5-Short Form as part of an ongoing online survey on women's health. Multiple Indicators Multiple Causes (MIMIC) confirmatory bifactor analysis results showed that the OCSD general factor (i.e., obsessive-compulsive spectrum factor) was positively associated with Negative Affectivity, whereas Body Dysmorphic Disorder (BDD), Hoarding Disorder (HD), and Skin-Picking Disorder (SPD) specific factors showed significant and substantial differential relationships with dysfunctional personality domains. Specifically, BDD was positively associated with Negative Affectivity, Detachment and Psychoticism domains; HD was associated with high Negative Affectivity and Psychoticism; and SPD was associated with Detachment. © 2020 John Wiley & Sons, Ltd.

Three recommendations based on a comparison of the reliability and validity of the predominant models used in research on the empirical structure of psychopathology

The present study compared the primary models used in research on the structure of psychopathology (i.e., correlated factor, higher-order, and bifactor models) in terms of structural validity (model fit and factor reliability), longitudinal measurement invariance, concurrent and prospective predictive validity in relation to important outcomes, and longitudinal consistency in individuals' factor score profiles. Two simpler operationalizations of a general factor of psychopathology were also examined-a single-factor model and a count of diagnoses. Models were estimated based on structured clinical interview diagnoses in two longitudinal waves of nationally representative data from the United States (n = 43,093 and n = 34,653). Models that included narrower factors (fear, distress, and externalizing) were needed to capture the observed multidimensionality of the data. In the correlated factor and higher-order models these narrower factors were reliable, largely invariant over time, had consistent associations with indicators of adaptive functioning, and had moderate stability within individuals over time. By contrast, the fear- and distress-specific factors in the bifactor model did not show good reliability or validity throughout the analyses. Notably, the general factor of psychopathology (p factor) performed similarly well across tests of reliability and validity regardless of whether the higher-order or bifactor model was used; the simplest (single factor) model was also comparable across most tests, with the exception of model fit. Given the limitations of categorical diagnoses, it will be important to repeat these analyses using dimensional measures. We conclude that when aiming to understand the structure and correlates of psychopathology it is important to (a) look beyond model fit indices to choose between different models, (b) examine the reliability of latent variables directly, and (c) be cautious when isolating and interpreting the unique effects of specific psychopathology factors, regardless of which model is used. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Quantifying the Reliability and Replicability of Psychopathology Network Characteristics

Pairwise Markov random field networks-including Gaussian graphical models (GGMs) and Ising models-have become the "state-of-the-art" method for psychopathology network analyses. Recent research has focused on the reliability and replicability of these networks. In the present study, we compared the existing suite of methods for maximizing and quantifying the stability and consistency of PMRF networks (i.e., lasso regularization, plus the bootnet and NetworkComparisonTest packages in R) with a set of metrics for directly comparing the detailed network characteristics interpreted in the literature (e.g., the presence, absence, sign, and strength of each individual edge). We compared GGMs of depression and anxiety symptoms in two waves of data from an observational study (n = 403) and reanalyzed four posttraumatic stress disorder GGMs from a recent study of network replicability. Taken on face value, the existing suite of methods indicated that overall the network edges were stable, interpretable, and consistent between networks, but the direct metrics of replication indicated that this was not the case (e.g., 39-49% of the edges in each network were unreplicated across the pairwise comparisons). We discuss reasons for these apparently contradictory results (e.g., relying on global summary statistics versus examining the detailed characteristics interpreted in the literature) and conclude that the limited reliability of the detailed characteristics of networks observed here is likely to be common in practice, but overlooked by current methods. Poor replicability underpins our concern surrounding the use of these methods, given that generalizable conclusions are fundamental to the utility of their results.

On Unreplicable Inferences in Psychopathology Symptom Networks and the Importance of Unreliable Parameter Estimates

We recently wrote an article comparing the conclusions that followed from two different approaches to quantifying the reliability and replicability of psychopathology symptom networks. Two commentaries on the article have raised five core criticisms, which are addressed in this response with supporting evidence. 1) We did not over-generalize about the replicability of symptom networks, but rather focused on interpreting the contradictory conclusions of the two sets of methods we examined. 2) We closely followed established recommendations when estimating and interpreting the networks. 3) We also closely followed the relevant tutorials, and used examples interpreted by experts in the field, to interpret the bootnet and NetworkComparisonTest results. 4) It is possible for statistical control to increase reliability, but that does not appear to be the case here. 5) Distinguishing between statistically significant versus substantive differences makes it clear that the differences between the networks affect the inferences we would make about symptom-level relationships (i.e., the basis of the purported utility of symptom networks). Ultimately, there is an important point of agreement between our article and the commentaries: All of these applied examples of cross-sectional symptom networks are demonstrating unreliable parameter estimates. While the commentaries propose that the resulting differences between networks are not genuine or meaningful because they are not statistically significant, we propose that the unreplicable inferences about the symptom-level relationships of interest fundamentally undermine the utility of the symptom networks.

Age and Gender Measurement Noninvariance of the Adult ADHD Self-Report Scale Screener

Objective: The nature and form of demographics-related differences in ADHD self-reported symptoms across adulthood is currently poorly understood. This study explored the psychometrics of the Adult ADHD Self-Report Scale Screener (ASRS-6), including its age- and gender-related measurement invariance. Method: Structural equation models were used to analyze adult data-aged 16 to 95 years-from the 2007 British Adult Psychiatric Morbidity Survey. Results: The three-factor model (disorganization, inattention, hyperactivity) outperformed one- and two-factor models. Self-reported attentional deficits may be more pathognomonic of overall self-reported ADHD in adults than other symptoms. All items exhibited age measurement noninvariance while only a subset exhibited gender measurement noninvariance. Individuals who are male and younger tend to have lower thresholds for endorsement for ASRS-6 items than individuals who are female and older. Conclusion: The ASRS-6 does not appear to be unidimensional, and self-reported ASRS-6 symptomatology changes in meaning with age.

Les progrès dans la réalisation de la classification quantitative de la psychopathologie☆

Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.

The Inter-Rater Reliability and Validity of the Italian Translation of the Structured Clinical Interview for DSM-5 Alternative Model for Personality Disorders Module I and Module II: A Preliminary Report on Consecutively Admitted Psychotherapy Outpatients

To evaluate the reliability and convergent validity of the Structured Clinical Interview for DSM-5 Alternative Model for Personality Disorders (SCID-5-AMPD) Module I and Module II, 88 adult psychotherapy participants were administered the Italian translations of the SCID-5-AMPD Module I and Module II, Level of Personality Functioning Scale-Brief Form (LPFS-BF), Level of Personality Functioning Scale-Self Report (LPFS-SF), Personality Inventory for DSM-5 (PID-5), Personality Diagnostic Questionnaire-4+ (PDQ-4+), and Structured Clinical Interview for DSM-5 Personality Disorders (SCID-5-PD) relying on a Williams crossover design. SCID-5-AMPD Module I and Module II showed excellent inter-rater reliability. In terms of convergent validity, meaningful associations were observed between SCID-5-AMPD Module I scores and self-report measures of Criterion A; similarly, SCID-5-AMPD Module II trait scores were meaningfully related to PID-5 trait scores. As a whole, our preliminary findings supported the clinical utility of DSM-5 AMPD.

DSM-5 Alternative Model of Personality Disorder Dysfunctional Personality Traits as Predictors of Self-Reported Aggression in an Italian Sample of Consecutively Admitted, Personality-Disordered Psychotherapy Patients

In order to assess the relationships between DSM-5 Alternative Model of Personality Disorder (AMPD) maladaptive personality traits and self-reports of aggression, 508 Italian adult participants who met at least one DSM-IV Axis II/DSM-5 Section II personality disorder (PD) diagnosis were administered the Personality Inventory for DSM-5 (PID-5) and the Aggression Questionnaire (AQ). Analysis results showed that multiple regression results, PID-5 Hostility, Callousness, and Risk Taking trait scale scores explained a large amount of variance in AQ Physical Aggression (PA) scores. Moreover, PID-5 Hostility, Callousness, and Risk Taking explained more than 20% of the variance in the AQ Physical Aggression scale scores that was left unexplained by selected continuously scored DSM-IV Axis II/DSM-5 Section II PDs, whereas SCID-II Paranoid, Narcissistic, Borderline, and Antisocial PDs added only 4% of variance to the amount of variance in AQ Physical Aggression scores that was already explained by the PID-5 trait scale scores.

Dysfunctional personality features, non-scientifically supported causal beliefs, and emotional problems during the first month of the COVID-19 pandemic in Italy

The present study aimed at assessing the impact of demographic characteristics, maladaptive personality traits and causal beliefs about COVID-19 on perceived emotional problems in a sample of Italian community-dwelling adults (N = 1043) in the first month of the social distancing period due to the COVID-19 pandemic in Italy. Hierarchical logistic regression analysis results showed that dysfunctional personality domains and non-scientifically supported causal beliefs explained all the variance that was originally explained by demographic variables (i.e., age and gender). In particular, negative affectivity and detachment represented relevant risk factors for reduced emotional well-being in our sample. A significant positive association was observed also between emotional problems and supernatural causal beliefs on the COVID-19 infection. Our data supported the importance of considering the impact of quarantine measures on psychological well-being, while suggesting possible risk factors related to individual differences in personality and causal beliefs.

The distinction between symptoms and traits in the Hierarchical Taxonomy of Psychopathology (HiTOP)

The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirically and quantitatively derived dimensional classification system designed to describe the features of psychopathology and, ultimately, to replace categorical nosologies. Among the constructs that HiTOP organizes are "symptom components" and "maladaptive traits," but past HiTOP publications have not fully explicated the distinction between symptoms and traits. We propose working definitions of symptoms and traits and explore challenges, exceptions, and remaining questions. Specifically, we propose that the only systematic difference between symptoms and traits in HiTOP is one of time frame. Maladaptive traits are dispositional constructs that describe persistent tendencies to manifest features of psychopathology, whereas symptoms are features of psychopathology as they are manifest during any specific time period (from moments to days to months). This has the consequence that almost every HiTOP dimension, at any level of the hierarchy, can be assessed as either a trait or a symptom dimension, by adjusting the framing of the assessment. We discuss the implications of these definitions for causal models of the relations between symptoms and traits and for distinctions between psychopathology, normal personality variation, and dysfunction.

Redefining phenotypes to advance psychiatric genetics: Implications from hierarchical taxonomy of psychopathology

Genetic discovery in psychiatry and clinical psychology is hindered by suboptimal phenotypic definitions. We argue that the hierarchical, dimensional, and data-driven classification system proposed by the Hierarchical Taxonomy of Psychopathology (HiTOP) consortium provides a more effective approach to identifying genes that underlie mental disorders, and to studying psychiatric etiology, than current diagnostic categories. Specifically, genes are expected to operate at different levels of the HiTOP hierarchy, with some highly pleiotropic genes influencing higher order psychopathology (e.g., the general factor), whereas other genes conferring more specific risk for individual spectra (e.g., internalizing), subfactors (e.g., fear disorders), or narrow symptoms (e.g., mood instability). We propose that the HiTOP model aligns well with the current understanding of the higher order genetic structure of psychopathology that has emerged from a large body of family and twin studies. We also discuss the convergence between the HiTOP model and findings from recent molecular studies of psychopathology indicating broad genetic pleiotropy, such as cross-disorder SNP-based shared genetic covariance and polygenic risk scores, and we highlight molecular genetic studies that have successfully redefined phenotypes to enhance precision and statistical power. Finally, we suggest how to integrate a HiTOP approach into future molecular genetic research, including quantitative and hierarchical assessment tools for future data-collection and recommendations concerning phenotypic analyses. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Assessing dark triad dimensions from the perspective of moral disengagement and DSM-5 alternative model of personality disorder traits

The present study aimed to test the relationships of Dark Triad constructs with propensity toward moral disengagement and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Alternative Model of Personality Disorder (AMPD) maladaptive personality traits. A total of 279 community-dwelling adult participants (41.6% male; Mage = 32.27 years) were administered the Two-Dimensional Mach-IV Scale, Five-Factor Narcissism Inventory-Short Form, Triarchic Psychopathy Measure, Personality Inventory for DSM-5, and Moral Disengagement Scale. Multiple regression results showed differential associations between Dark Triad construct traits and propensity toward moral disengagement. Correlation analyses showed that all Dark Triad trait dimensions could be substantially described in terms of AMPD maladaptive trait profile. When the effect of Moral Disengagement Scale scores was taken into account in relative importance weights analysis (Radjusted2 = .66), DSM-5 AMPD maladaptive trait profile explained 27% of the variance in the "Dark Triad" latent factor over and above the effect of moral disengagement. As a whole, our findings supported the idea that the Dark Triad personality constructs are likely to share a common core of antagonistic maladaptive personality traits. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

DSM-5 personality domains as correlates of non-suicidal self-injury severity in an Italian sample of adolescent inpatients with self-destructive behaviour

To evaluate the associations between DSM-5 alternative model of personality disorder dysfunctional personality domains and the clinician's ratings of non-suicidal self-injury (NSSI) severity, a sample of consecutively admitted Italian adolescent inpatients (N = 100) were administered the Italian translations of the DSM-5 Clinician Rating Scale-NSSI (CRS-NSSI), the Personality Inventory for DSM-5 (PID-5), the Structured Clinical Interview for DSM-IV Axis II Personality Disorders, Version 2.0 (SCID-II) and the Children's Depression Inventory (CDI). Bivariate association analyses showed that PID-5 negative affectivity scores and CDI total score were significantly associated with CRS-NSSI ratings. PID-5 negative affectivity score proved to be a significant predictor of the CRS-NSSI score even when the effect of the CDI total score was held constant. Our results highlighted that specific risk factors for NSSI severity may be identified even among NSSI adolescents. © 2019 John Wiley & Sons, Ltd.

Assessing the relationships between self-reports of childhood adverse experiences and DSM-5 alternative model of personality disorder traits and domains: A study on Italian community-dwelling adults

A body of research suggests that child maltreatment may not represent an uncommon phenomenon. Adverse childhood experiences have been consistently linked to a variety of mental disorders, including personality disorder. Starting from these considerations, we aimed at testing the associations between retrospective self-reports of childhood abuse and Personality Inventory for DSM-5 (PID-5) traits and domains in a sample of community-dwelling adult participants (N = 369; 41.2% male). PID-5 scales yielded 63 (52.5%) rank-order correlations with self-reports of childhood abuse that were significant at Bonferroni-corrected p level (i.e. p < 0.00042), with values ranging from 0.18 to 0.36. According to Fisher's z-test for correlation coefficient homogeneity, the wide majority of the correlations were reproduced across male participants and female participants. Partial rank-order correlation analyses highlighted specific personality profiles that were uniquely, albeit modestly associated with memories of childhood abuse. Confirming and extending previous findings, our results showed that retrospective reports of childhood abuse are significantly, albeit moderately associated with different dysfunctional personality traits, at least in Italian community-dwelling adults. As a whole, our data seemed to stress the importance of PID-5 traits and domains in improving our understanding of the relationships between self-reports of childhood abuse and dysfunctional personality dimensions in adulthood. © 2019 John Wiley & Sons, Ltd.

Are fit indices used to test psychopathology structure biased? A simulation study

Structural models of psychopathology provide dimensional alternatives to traditional categorical classification systems. Competing models, such as the bifactor and correlated factors models, are typically compared via statistical indices to assess how well each model fits the same data. However, simulation studies have found evidence for probifactor fit index bias in several psychological research domains. The present study sought to extend this research to models of psychopathology, wherein the bifactor model has received much attention, but its susceptibility to bias is not well characterized. We used Monte Carlo simulations to examine how various model misspecifications produced fit index bias for 2 commonly used estimators, WLSMV and MLR. We simulated binary indicators to represent psychiatric diagnoses and positively skewed continuous indicators to represent symptom counts. Across combinations of estimators, indicator distributions, and misspecifications, complex patterns of bias emerged, with fit indices more often than not failing to correctly identify the correlated factors model as the data-generating model. No fit index emerged as reliably unbiased across all misspecification scenarios. Although, tests of model equivalence indicated that in one instance fit indices were not biased-they favored the bifactor model, albeit not unfairly. Overall, results suggest that comparisons of bifactor models to alternatives using fit indices may be misleading and call into question the evidentiary meaning of previous studies that identified the bifactor model as superior based on fit. We highlight the importance of comparing models based on substantive interpretability and their utility for addressing study aims, the methodological significance of model equivalence, as well as the need for implementation of statistical metrics that evaluate model quality. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The replicability of the personality inventory for DSM-5 domain scale factor structure in U.S. and non-U.S. samples: A quantitative review of the published literature

The present study aimed at quantitatively synthesizing published studies on the replicability of the Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5; PID-5) domain factor structure in U.S. and non-U.S. cultural contexts. A literature search was conducted, and 23 studies based on 25 samples (N = 24,240) were included. Seven studies provided data on the factor replicability of the PID-5 in the U.S. and 16 studies yielded PID-5 factor replicability data in non-U.S. countries. The majority (n = 17, 68.0%) of the studies were based on community/student samples. Median congruence coefficient (CC) values ranged from .92 to .98 in U.S. studies, and from .91 to .97 in non-U.S. studies. No significant effect of sample type, translation, and geographic area on CC values was observed. Meta-analytic structural equation modeling results supported the homogeneity of the PID-5 scale correlation matrices across both U.S. studies, root mean square error of approximation (RMSEA) = .039, and non-U.S. studies, RMSEA = .045. Dimensionality analyses of the pooled correlation matrix provided evidence for a 5-factor structure of the PID-5 scales in both U.S. and non-U.S. studies; the resulting factor loading matrices were highly similar to the normative U.S. factor loading matrix. As a whole, our findings support the generalizability of the PID-5 factor structure, suggesting the replicability of Negative Affectivity, Detachment, Antagonism, and Psychoticism factors across different samples, translations, age groups, and nations. Further studies on samples from non-Western Europe countries, as well as from specific population, are needed before drawing definitive conclusions. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

A correlated traits, correlated methods model for thin-slice child personality assessment

Recent research has illustrated the utility and accuracy of a thin-slice (TS) approach to child personality assessment, whereby unacquainted observers provide personality ratings of children after exposure to brief behavioral episodes. The current study sought to expand on this approach by exploring formal multitrait-multimethod (MTMM) models for child TS data comprising ratings from a comprehensive set of TS situations. Results using data from a sample of 326 community children 9-10 years of age indicated that a correlated traits, correlated methods (CTCM) model can be used to represent individual differences in children's behavior as manifest across different situations. Indicator variables derived from a CTCM differentially correlated with traditional parental ratings of behavior, moreover, and provide predictive and incremental validity regarding child competencies and behavior. Results illustrate the utility of a TS approach in the assessment of childhood personality and inform understanding of issues encountered in applying different MTMM models to these types of empirical data. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Further evidence that psychopathology networks have limited replicability and utility: Response to Borsboom et al. (2017) and Steinley et al. (2017)

In our target article, we tested the replicability of 4 popular psychopathology network estimation methods that aim to reveal causal relationships among symptoms of mental illness. We started with the focal data set from the 2 foundational psychopathology network papers (i.e., the National Comorbidity Survey-Replication) and identified the National Survey of Mental Health and Wellbeing as a close methodological match for comparison. We compared the psychopathology networks estimated in each data set-as well as in 10 sets of random split-halves within each data set-with the goal of quantifying the replicability of the network parameters as they are interpreted in the extant psychopathology network literature. We concluded that current psychopathology network methods have limited replicability both within and between samples and thus have limited utility. Here we respond to the 2 commentaries on our target article, concluding that the findings of Steinley, Hoffman, Brusco, and Sher (2017)-along with other recent developments in the literature-provide further conclusive evidence that psychopathology networks have poor replicability and utility. (PsycINFO Database Record

Measurement of pathological personality traits according to the DSM-5: A Polish adaptation of the PID-5. Part I - theoretical foundations

The latest edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) proposes a novel hybrid system of personality disorder diagnosis in addition to the one pre-viously laid down in the DSM-IV-TR. This alternative diagnostic system, published within Section III of the DSM-5, was hoped to overcome the inherent limitations of categorical diagnosis by integrating the categorical and dimensional approaches to personality disorders. As such, it constitutes a bridge between psychiatric pathology classifications and findings from psychological research on the structure of normal personality.At the core of the hybrid DSM-5 system lies a new model of pathological personality traits, operationalized using the Personality Inventory for DSM-5 (PID-5). This paper outlines the background and main features of the DSM-5 hybrid system of personality disorder diagnosis with a focus on the dimensional model of pathological traits and definitions thereof. The cur-rent status, application potential and limitations of the DSM-5 diagnostic system and the pathological traits model are also discussed. In another paper, the authors present the PID-5 inventory and report on a study investigating a Polish adaptation of this instrument.

Psychology's Replication Crisis and Clinical Psychological Science

Despite psychological scientists' increasing interest in replicability, open science, research transparency, and the improvement of methods and practices, the clinical psychology community has been slow to engage. This has been shifting more recently, and with this review, we hope to facilitate this emerging dialogue. We begin by examining some potential areas of weakness in clinical psychology in terms of methods, practices, and evidentiary base. We then discuss a select overview of solutions, tools, and current concerns of the reform movement from a clinical psychological science perspective. We examine areas of clinical science expertise (e.g., implementation science) that should be leveraged to inform open science and reform efforts. Finally, we reiterate the call to clinical psychologists to increase their efforts toward reform that can further improve the credibility of clinical psychological science.

Bifactor and Hierarchical Models: Specification, Inference, and Interpretation

Bifactor and other hierarchical models have become central to representing and explaining observations in psychopathology, health, and other areas of clinical science, as well as in the behavioral sciences more broadly. This prominence comes after a relatively rapid period of rediscovery, however, and certain features remain poorly understood. Here, hierarchical models are compared and contrasted with other models of superordinate structure, with a focus on implications for model comparisons and interpretation. Issues pertaining to the specification and estimation of bifactor and other hierarchical models are reviewed in exploratory as well as confirmatory modeling scenarios, as are emerging findings about model fit and selection. Bifactor and other hierarchical models provide a powerful mechanism for parsing shared and unique components of variance, but care is required in specifying and making inferences about them.

Modeling Response Style Using Vignettes and Person-Specific Item Response Theory

Responses to survey data are determined not only by item characteristics and respondents' trait standings but also by response styles. Recently, methods for modeling response style with personality and attitudinal data have turned toward the use of anchoring vignettes, which provide fixed rating targets. Although existing research is promising, a few outstanding questions remain. First, it is not known how many vignettes and vignette ratings are necessary to identify response style parameters. Second, the comparative accuracy of these models is largely unexplored. Third, it remains unclear whether correcting for response style improves criterion validity. Both simulated data and data observed from a population-representative sample responding to a measure of personality pathology (the Personality Inventory for DSM-5 [PID-5]) were modeled using an array of response style models. In simulations, most models estimating response styles outperformed the graded response model (GRM), and in observed data, all response style models were superior to the GRM. Correcting for response style had a small, but in some cases significant, effect on the prediction of self-reported social dysfunction.

Progress in achieving quantitative classification of psychopathology

Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.

Examining neural correlates of psychopathology using a lesion-based approach

Studies of individuals with focal brain damage have long been used to expand understanding of the neural basis of psychopathology. However, most previous studies were conducted using small sample sizes and relatively coarse methods for measuring psychopathology or mapping brain-behavior relationships. Here, we examined the factor structure and neural correlates of psychopathology in 232 individuals with focal brain damage, using their responses to the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF). Factor analysis and voxel-based lesion symptom mapping were used to examine the structure and neural correlates of psychopathology in this sample. Consistent with existing MMPI-2-RF literature, separate internalizing, externalizing, and psychotic symptom dimensions were found. In addition, a somatic dimension likely reflecting neurological symptoms was identified. Damage to the medial temporal lobe, including the hippocampus, was associated with scales related to both internalizing problems and psychoticism. Damage to the medial temporal lobe and orbitofrontal cortex was associated with both a general distrust of others and beliefs that one is being personally targeted by others. These findings provide evidence for the critical role of dysfunction in specific frontal and temporal regions in the development of psychopathology.

Item Response Theory Analyses, Factor Structure, and External Correlates of the Italian Translation of the Personality Inventory for DSM-5 Short Form in Community-Dwelling Adults and Clinical Adults

To assess the psychometric properties of the Italian translation of the 100-item short form of the Personality Inventory for DSM-5 (PID-5-SF), 2,143 community-dwelling adults (59.6% female), and 706 adult clinical participants (52.4% female) were administered the Italian translation of the PID-5. Clinical participants were also administered the Structured Clinical Interview for DSM-IV (SCID-II), and the Personality Diagnostic Questionnaire-4+ (PDQ-4+). Item response theory analysis showed that all proposed PID-5-SF items showed adequate item discrimination parameters in both community-dwelling adults and clinical adults. All PID-5-SF trait scales showed satisfactory internal consistency estimates. PID-5-SF five-factor structure closely matched the factor structure of the PID-5 in both community-dwelling participants and clinical participants and was invariant across the two samples that participated in this study. Moreover, the factor structure of the PID-5-SF closely replicated the factor of the PID-5-SF that was originally reported in Maples et al.'s study. In our clinical sample, dominance analysis results showed that PID-5-SF scales explained a nonnegligible and significant amount of variance in both SCID-II and PDQ-4+ ratings of selected DSM-5 Section II personality disorder, and the use of the PID-5-SF did not result in a substantial loss of information as compared with the original PID-5.

Criterion A of the AMPD in HiTOP

The categorical model of personality disorder classification in the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders (5th ed. [DSM-5]; American Psychiatric Association, 2013 ) is highly and fundamentally problematic. Proposed for DSM-5 and provided within Section III (for Emerging Measures and Models) was the Alternative Model of Personality Disorder (AMPD) classification, consisting of Criterion A (self-interpersonal deficits) and Criterion B (maladaptive personality traits). A proposed alternative to the DSM-5 more generally is an empirically based dimensional organization of psychopathology identified as the Hierarchical Taxonomy of Psychopathology (HiTOP; Kotov et al., 2017 ). HiTOP currently includes, at the highest level, a general factor of psychopathology. Further down are the five domains of detachment, antagonistic externalizing, disinhibited externalizing, thought disorder, and internalizing (along with a provisional sixth somatoform dimension) that align with Criterion B. The purpose of this article is to discuss the potential inclusion and placement of the self-interpersonal deficits of the DSM-5 Section III Criterion A within HiTOP.

Structure as cause and representation: Implications of descriptivist inference for structural modeling across multiple levels of analysis

What does a structural model reflect? Different answers to this question implicitly underlie different nosological paradigms. Traditionally, structural analysis has been seen as a process of identifying true or causative values, states, or conditions. This paradigm has faced mounting challenges, however, as psychopathology theory and research has come to encompass different levels of analysis, with concomitant questions about what constructs are most "correct." Here, we discuss an alternative descriptivist paradigm, in which models are seen as the process of identifying optimally parsimonious, generalizable representations of observations. This paradigm allows for an integration of theoretical and methodological approaches that are often seen in mutual opposition, and recasts traditional measurement and structural models in a new light. In this article, we explain the descriptivist perspective, illustrating important concepts using empirical examples from the Human Connectome Project and this issue. We address structural theory within the context of varying levels of analysis, demonstrating how the descriptivist approach can elucidate the nature of hierarchical features and provide a framework for empirically delineating psychopathology structure. (PsycINFO Database Record

On studying narcissism in personality inventories rather than the Narcissistic Personality Inventory: Reply to Miller and Lynam (2017)

Miller and Lynam's (2017) commentary proved to be very helpful in clarifying that ralerting-CV and rcontrast-CV coefficient values reported in our study indicated that the Narcissistic Personality Inventory (NPI) yielded a trait profile much more closely aligned with expert ratings of Diagnostic and Statistical Manual of Mental Disorders (4th edition; DSM-IV) narcissistic personality disorder (NPD) than did other measures. The commentary gives us the opportunity to make it clear that our study was designed to demonstrate the clinical usefulness of Personality Inventory for DSM-5 (PID-5) domain and trait scales in profiling pathological narcissism. Thus, demonstrating the superiority/inferiority of the Pathological Narcissism Inventory (PNI) over the NPI was not among the aims of our study. The publication of the commentary also gives us the opportunity to clarify the reasons why we think that the interpretation of the ralerting-CV and rcontrast-CV coefficients deserves some cautions. As a final remark, we think that the time has come to move from personality disorder classifications based on "clinical wisdom" to a redefinition of personality pathology in terms of systems of traits. (PsycINFO Database Record

Evidence that psychopathology symptom networks have limited replicability

Network analysis is quickly gaining popularity in psychopathology research as a method that aims to reveal causal relationships among individual symptoms. To date, 4 main types of psychopathology networks have been proposed: (a) association networks, (b) regularized concentration networks, (c) relative importance networks, and (d) directed acyclic graphs. The authors examined the replicability of these analyses based on symptoms of major depression and generalized anxiety between and within 2 highly similar epidemiological samples (i.e., the National Comorbidity Survey-Replication [n = 9282] and the National Survey of Mental Health and Wellbeing [n = 8841]). Although association networks were stable, the 3 other types of network analysis (i.e., the conditional independence networks) had poor replicability between and within methods and samples. The detailed aspects of the models-such as the estimation of specific edges and the centrality of individual nodes-were particularly unstable. For example, 44% of the symptoms were estimated as the "most influential" on at least 1 centrality index across the 6 conditional independence networks in the full samples, and only 13-21% of the edges were consistently estimated across these networks. One of the likely reasons for the instability of the networks is the predominance of measurement error in the assessment of individual symptoms. The authors discuss the implications of these findings for the growing field of psychopathology network research, and conclude that novel results originating from psychopathology networks should be held to higher standards of evidence before they are ready for dissemination or implementation in the field. (PsycINFO Database Record

Reliability, Factor Structure, and Associations With Measures of Problem Relationship and Behavior of the Personality Inventory for DSM-5 in a Sample of Italian Community-Dwelling Adolescents

In order to assess the reliability, factorial validity, and criterion validity of the Personality Inventory for DSM-5 (PID-5) among adolescents, 1,264 Italian high school students were administered the PID-5. Participants were also administered the Questionnaire on Relationships and Substance Use as a criterion measure. In the full sample, McDonald's ω values were adequate for the PID-5 scales (median ω = .85, SD = .06), except for Suspiciousness. However, all PID-5 scales showed average inter-item correlation values in the .20-.55 range. Exploratory structural equation modeling analyses provided moderate support for the a priori model of PID-5 trait scales. Ordinal logistic regression analyses showed that selected PID-5 trait scales predicted a significant, albeit moderate (Cox & Snell R² values ranged from .08 to .15, all ps < .001) amount of variance in Questionnaire on Relationships and Substance Use variables.

On the relationships between DSM-5 dysfunctional personality traits and social cognition deficits: A study in a sample of consecutively admitted Italian psychotherapy patients

This study aims at testing the hypothesis that the Diagnostic and Statistical Manual of Mental Disorders fifth edition (DSM-5) alternative model of personality disorder (AMPD) traits may be significantly associated with deficits on 2 different social cognition tasks, namely, the Reading the Mind in the Eyes Test and the Movie for the Assessment of Social Cognition, in a sample of consecutively admitted inpatients and outpatients. The sample was composed of 181 consecutively admitted participants (57.5% women; mean age = 38.58 years). Correlation coefficients and partial correlation coefficients were computed in order to assess the associations among social cognition tasks, DSM-5 AMPD traits, and dimensionally assessed DSM-5 Section II personality disorders. Specific maladaptive traits listed in the DSM-5 AMPD were significantly associated with Reading the Mind in the Eyes Test scores and Movie for the Assessment of Social Cognition scores, even when the effect of selected DSM-5 Section II personality disorders was controlled for. Our results support the relevance of studying social cognitive functioning in subjects suffering from personality disorders.

Efficiently measuring dimensions of the externalizing spectrum model: Development of the Externalizing Spectrum Inventory-Computerized Adaptive Test (ESI-CAT)

The development of the Externalizing Spectrum Inventory (ESI) was motivated by the need to comprehensively assess the interrelated nature of externalizing psychopathology and personality using an empirically driven framework. The ESI measures 23 theoretically distinct yet related unidimensional facets of externalizing, which are structured under 3 superordinate factors representing general externalizing, callous aggression, and substance abuse. One limitation of the ESI is its length at 415 items. To facilitate the use of the ESI in busy clinical and research settings, the current study sought to examine the efficiency and accuracy of a computerized adaptive version of the ESI. Data were collected over 3 waves and totaled 1,787 participants recruited from undergraduate psychology courses as well as male and female state prisons. A series of 6 algorithms with different termination rules were simulated to determine the efficiency and accuracy of each test under 3 different assumed distributions. Scores generated using an optimal adaptive algorithm evidenced high correlations (r > .9) with scores generated using the full ESI, brief ESI item-based factor scales, and the 23 facet scales. The adaptive algorithms for each facet administered a combined average of 115 items, a 72% decrease in comparison to the full ESI. Similarly, scores on the item-based factor scales of the ESI-brief form (57 items) were generated using on average of 17 items, a 70% decrease. The current study successfully demonstrates that an adaptive algorithm can generate similar scores for the ESI and the 3 item-based factor scales using a fraction of the total item pool. (PsycINFO Database Record

Reliability and clinical usefulness of the personality inventory for DSM-5 in clinically referred adolescents: A preliminary report in a sample of Italian inpatients

BACKGROUND

The DSM-5 Alternative Model of Personality Disorders (AMPD) provides the opportunity to integrate the needed developmental perspective in the assessment of personality pathology. Based on this model, Krueger and colleagues (2012) developed the Personality Inventory for DSM-5 (PID-5), which operationalizes the proposed DSM-5 traits.

METHODS

Eighty-five consecutively admitted Italian adolescent inpatients were administered the Italian translation of the PID-5, in order to obtain preliminary data on PID-5 reliability and clinical usefulness in clinically referred adolescents.

RESULTS

With the possible exception of the PID-5 Suspiciousness scale, all other PID-5 scales evidenced adequate internal consistency reliability (i.e., Cronbach's α values of at least .70, most being greater than .80). Our data seemed to yield at least partial support for the construct validity of the PID-5 scales also in clinical adolescents, at least in terms of patterns of associations with dimensionally assessed DSM-5 Section II PDs that were also included in the DSM-5 AMPD (excluding Antisocial PD because of the participants' minor age). Finally, our data suggested that the clinical usefulness of the PID-5 in adolescent inpatients may extend beyond PDs to profiling adolescents at risk for life-threatening suicide attempts. In particular, PID-5 Depressivity, Anhedonia, and Submissiveness trait scales were significantly associated with adolescents' history of life-threatening suicide attempts, even after controlling for a number of other variables, including mood disorder diagnosis.

DISCUSSION

As a whole, our study may provide interesting, albeit preliminary data as to the clinical usefulness of PID-5 in the assessment of adolescent inpatients.