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.

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.

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.

Cultural evolution and behavior genetic modeling: The long view of time.

We advocate for an integrative long-term perspective on time, noting that culture changes on timescales amenable to behavioral genetic study with appropriate design and modeling extensions. We note the need for replications of behavioral genetic studies to examine model invariance across long-term timescales, which would afford examination of specified as well as unspecified cultural moderators of behavioral genetic effects.

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.

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.

Body Dysmorphic Disorder in the Perspective of the Alternative DSM-5 Model for Personality Disorder: A Study on Italian Community-Dwelling Women.

To evaluate the relationships between body dysmorphic disorder (BDD) and Alternative DSM-5 Model for Personality Disorder (AMPD) criterion A and dysfunctional personality trait (i.e., criterion B) measures, 420 Italian community-dwelling women were administered three measures of BDD (i.e., the Body Dysmorphic Disorder Questionnaire, the Body Dysmorphic Disorder-Dimensional Scale, and the Appearance Anxiety Inventory), as well as the Level of Personality Functioning Scale-Brief Form (LPFS-BF) and the Personality Inventory for DSM-5-Short Form (PID-5-SF). The three BDD measures showed substantial convergent validity correlations and could be reliably cumulated to obtain the BDD Cumulative Index (BDDCI). Several significant, nonnegligible correlations were observed between the BDDCI as well as the LPFS-BF scale scores and PID-5-SF personality trait scale scores. Relative importance weight analysis results showed that LPFS-BF scale scores and PID-5-SF trait scale scores were substantial predictors of the BDDCI scores (R = 0.42, f = 0.72). In particular, AMPD criterion A impairment in self-functioning and AMPD criterion B depressivity, anhedonia, perseveration, separation insecurity, and cognitive and perceptual dysregulation were core components of the dysfunctional personality profile associated with BDD.

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.

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.

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.

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.

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.

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.

Beyond comorbidity: Toward a dimensional and hierarchical approach to understanding psychopathology across the life span.

We propose a novel developmentally informed framework to push research beyond a focus on comorbidity between discrete diagnostic categories and to move toward research based on the well-validated dimensional and hierarchical structure of psychopathology. For example, a large body of research speaks to the validity and utility of the internalizing and externalizing spectra as organizing constructs for research on common forms of psychopathology. The internalizing and externalizing spectra act as powerful explanatory variables that channel the psychopathological effects of genetic and environmental risk factors, predict adaptive functioning, and account for the likelihood of disorder-level manifestations of psychopathology. As such, our proposed theoretical framework uses the internalizing and externalizing spectra as central constructs to guide future psychopathology research across the life span. The framework is particularly flexible, because any of the facets or factors from the dimensional and hierarchical structure of psychopathology can form the focus of research. We describe the utility and strengths of this framework for developmental psychopathology in particular and explore avenues for future research.

Borderline Personality Disorder and Narcissistic Personality Disorder Diagnoses From the Perspective of the DSM-5 Personality Traits: A Study on Italian Clinical Participants.

To evaluate the associations between Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) Alternative Model of Personality Disorder traits and domains and categorically diagnosed narcissistic personality disorder (NPD) and borderline personality disorder (BPD), respectively, 238 inpatient and outpatient participants who were consecutively admitted to the Clinical Psychology and Psychotherapy Unit of San Raffaele Hospital in Milan, Italy, were administered the Personality Inventory for DSM-5 (PID-5) and the Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II). Based on SCID-II, the participants were assigned to the following groups: a) NPD (n = 49), b) BPD (n = 32), c) any other PD (n = 91), and d) no PD (n = 63). Emotional lability, separation insecurity, depressivity, impulsivity, risk taking, and hostility were significantly associated with BPD diagnosis. Attention seeking significantly discriminated participants who received an SCID-II categorical NPD diagnosis. Separation insecurity, impulsivity, distractibility, and perceptual dysregulation were the DSM-5 traits that significantly discriminated BPD participants. Domain-level analyses confirmed and extended trait-level findings.

Eudaimonic well-being and tumor norepinephrine in patients with epithelial ovarian cancer.

BACKGROUND: The impact of psychological well-being on the physiologic processes involved in cancer progression remains unclear. Prior research has implicated adrenergic signaling in tumor growth and metastasis. Given that adrenergic signaling is influenced by both positive and negative factors, the authors examined how 2 different aspects of well-being (eudaimonic and positive affect) and psychological distress were associated with tumor norepinephrine (NE) in patients with ovarian cancer. METHODS: A total of 365 women with suspected ovarian cancer completed psychosocial assessments before surgery and clinical information was obtained from medical records. Study inclusion was confirmed after histological diagnosis. Tumor NE was measured in frozen tissue samples using high-performance liquid chromatography with electrochemical detection. Confirmatory factor analysis was used to model eudaimonic well-being, positive affect, and psychological distress, and structural equation modeling was used to examine associations between these factors and tumor NE. RESULTS: Eudaimonic well-being, positive affect, and psychological distress, modeled as distinct but correlated constructs, best fit the data (ie, compared with unitary or 2-factor models) (root mean square error of approximation, 0.048; comparative fit index, 0.982; and standardized root-mean-squared residual, 0.035). Structural equation modeling analysis that included physical well-being, stage of disease, histology, psychological treatment history, beta-blocker use, and caffeine use as covariates was found to have good model fit (root mean square error of approximation, 0.052; comparative fit index, 0.955; and standardized root-mean-squared residual, 0.036) and demonstrated that eudaimonic well-being was related to lower tumor NE (ß = -.24 [P = .045]). In contrast, no effects were found for positive affect or psychological distress. CONCLUSIONS: Eudaimonic well-being was found to be associated with lower tumor NE, independent of positive affect and psychological distress. Because adrenergic signaling is implicated in tumor progression, increasing eudaimonic well-being may improve both psychological and physiologic resilience in patients with ovarian cancer.

The DSM-5 alternative model of personality disorders from the perspective of adult attachment: a study in community-dwelling adults.

To assess how the maladaptive personality domains and facets that were included in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Alternative Model of Personality Disorders relate to adult attachment styles, 480 Italian nonclinical adults were administered the Personality Inventory for DSM-5 (PID-5) and the Attachment Style Questionnaire (ASQ). To evaluate the uniqueness of the associations between the PID-5 scales and the ASQ scales, the participants were also administered the Big Five Inventory (BFI). Multiple regression analyses showed that the ASQ scales significantly predicted both PID-5 domain scales and BFI scales; however, the relationships were different both qualitatively and quantitatively. With the exception of the PID-5 risk taking scale (adjusted R(2) = 0.02), all other PID-5 trait scales were significantly predicted by the ASQ scales, median adjusted R(2) value = 0.25, all ps < 0.001. Our findings suggest that the maladaptive personality domains and traits listed in the DSM-5 Alternative Model of Personality Disorders show meaningful associations with adult attachment styles.

Challenges and strategies in helping the DSM become more dimensional and empirically based.

The DSM-5 creation process and outcome underlines a core tension in psychiatry between empirical evidence that mental pathologies tend to be dimensional and a historical emphasis on delineating categorical disorders to frame psychiatric thinking. The DSM has been slow to reflect dimensional evidence because doing so is often perceived as a disruptive paradigm shift. As a result, other authorities are making this shift, circumventing the DSM in the process. For example, through the Research Domain Criteria (RDoC), NIMH now encourages investigators to focus on a dimensional and neuroscientific conceptualization of mental disorder research. Fortunately, the DSM-5 contains a dimensional model of maladaptive personality traits that provides clinical descriptors that align conceptually with the neuroscience-based dimensions delineated in the RDoC and in basic science research. Through frameworks such as the DSM-5 trait model, the DSM can evolve to better incorporate evidence of the dimensionality of mental disorder.