Psychopathology Research Research Articles

Patterns of self-regulation and emotional well-being among Syrian refugee children in Lebanon: An exploratory person-centered approach.

This study explores patterns of self-regulation and emotional well-being among Syrian refugee children in Lebanon, employing a person-centered approach, responding to theoretical challenges articulated by Dante Cicchetti and other psychologists. Using latent profile analysis with data from 2,132 children, we identified seven distinct profiles across cognitive regulation, emotional-behavioral regulation, interpersonal regulation, and emotional well-being. These profiles showed significant heterogeneity in patterns of self-regulation across domains and emotional well-being among Syrian children. Some profiles consistently exhibited either positive ("Well-regulated and Adjusted") or negative ("Moody and Frustrated") functioning across all domains, while others revealed domain-specific challenges, e.g., particularly sensitive to interpersonal conflict. This heterogeneity in the organization of self-regulatory skill and emotional well-being challenges the traditional homogeneous view of child development in conflict settings. The study also underscores the profiles' differential associations with demographic characteristics and experiences, with school-related experiences being particularly salient. We discuss the implications of these findings for future research in developmental psychopathology on self-regulation and emotional well-being in conflict-affected contexts. In addition, we advocate for tailored interventions to meet the diverse needs of children affected by conflict.

Toward diversification of acute stressors and precision stress research: A stage 2 Registered Report validating a reward-salient stress task in emerging adults.

Stress is one of, if not the, most ubiquitously studied risk factor across the health sciences. This is unlikely to change given that the primary drivers of mortality and disability are chronic, stress-mediated illnesses (often highly comorbid with psychopathology). We argue that an important limitation of stress research is the consistency with which the Trier Social Stress Test is used when the research questions are not specific to social stress. We advocate for precision stress research using qualitatively different stressors to facilitate exploration of how different types of stressors might differentially impact health outcomes, including psychopathology. This registered report validates a reward-salient stress task (a modified Anger Incentive Delay Task) in a sample of 101 emerging adults, over half of whom reported clinically relevant anxiety, hypo/mania, depression, and/or suicidal ideation, who participated in a study between 2020 and 2022. This task involves teaching participants a game where they can win money. Part way through, the "goal frustration" condition changes the rules such that correct responses to trials with anticipatory stimuli indicating the possibility to win money actually lose money on 56% of trials despite visual feedback indicating that responses were successful. Results consistently indicated that the Anger Incentive Delay Task successfully reduced positive emotions and motivation and increased negative emotions. The magnitude of these responses was predicted by individual differences in reward and punishment sensitivity. Given the breadth of psychopathologies that share both (a) stress and (b) reward and punishment sensitivity as risk factors, a reward-salient acute stress task is an important tool for precision psychopathology research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Parenting stress and child behavior problems: Developmental psychopathology perspectives.

The growing base of research on parenting stress and its relation to child behavior problems has largely paralleled the emergence of developmental psychopathology as a field of inquiry. Specifically, the focus on mechanism rather than main effects has begun to elevate explanatory models in the connection between parenting stress and a variety of adverse child and parent conditions. Still, work on parenting stress is limited by conceptual confusion, the absence of attention to developmental differentiation, a focus on child-specific rather than system influences. Recent research on these parenting stress issues is briefly reviewed, highlighting studies that have illustrated developmental psychopathology perspectives. A conceptual model is offered to illustrate the complex recursive nature of connections between parenting stress, parenting behavior, parent well-being, and children's adjustment, and I make a case for the adoption of a more systemic perspective to influence the next generation of developmental psychopathology research on parenting stress.

Sensitive periods and other timing hypotheses in developmental psychopathology: A tutorial

Abstract Researchers often aim to assess whether repeated measures of an exposure are associated with repeated measures of an outcome. A question of particular interest is how associations between exposures and outcomes may differ over time. In other words, researchers may seek the best form of a temporal model. While several models are possible, researchers often consider a few key models. For example, researchers may hypothesize that an exposure measured during a sensitive period may be associated with repeated measures of the outcome over time. Alternatively, they may hypothesize that the exposure measured immediately before the current time period may be most strongly associated with the outcome at the current time. Finally, they may hypothesize that all prior exposures are important. Many analytic methods cannot compare and evaluate these alternative temporal models, perhaps because they make the restrictive assumption that the associations between exposures and outcomes remains constant over time. Instead, we provide a tutorial describing four temporal models that allow the associations between repeated measures of exposures and outcomes to vary, and showing how to test which temporal model is best supported by the data. By finding the best temporal model, developmental psychopathology researchers can find optimal windows for intervention.

Understanding the Psychosis Spectrum Using a Hierarchical Model of Social Cognition.

Social cognitive impairments are central to psychosis, including lower severity psychosis-like experiences (PLEs). Nonetheless, progress has been hindered by social cognition's poorly defined factor structure, as well as limited work examining the specificity of social cognitive impairment to psychosis. The present study examined how PLEs relate to social cognition in the context of other psychopathology dimensions, using a hierarchical factors approach to social cognition. Online community participants (N = 1026) completed psychosis, autism, and personality disorder questionnaires, as well as 3 social cognitive tasks that varied in methodology (vignette vs video) and construct (higher- vs lower-level social cognition). Exploratory (EFA) and confirmatory factor analyses (CFA) were used to model social cognition, with the best models being examined in association with PLEs and psychopathology dimensions. EFA and CFA supported a hierarchical model of social cognition, with 2 higher-order factors emerging: verbal/vignette task methodology and a multimethod general social cognition factor. These higher-order factors accounted for task-level associations to psychopathology, with relations to positive symptoms (r = .23) and antagonism (r = .28). After controlling for other psychopathology, positive symptoms were most clearly related to tasks with verbal methodology (β = -0.34). These results suggest that broad social cognitive processes and method effects may account for many previous findings in psychosis and psychopathology research. Additionally, accounting for broad social cognitive impairment may yield insights into more specific social cognitive processes as well.

Epistemic disagreement in psychopathology research and practice: A procedural model

Clinical psychology is characterized by persistent disagreement about fundamental aspects of the discipline ranging from what mental disorders are to what constitutes effective treatment. Attempts to address the problem of epistemic disagreement have been frequently based on establishing the correct answer by fiat without identifying and addressing the sources of the disagreement. We argue that this strategy has not worked very well and the result is frequently ongoing and intractable disagreement, with each side in an argument convinced they are correct. In this paper, we outline an epistemic disagreement procedural model intended to assist researchers and clinicians in the field of clinical psychology to identify, explore, and develop inquiry strategies that capitalize on situations where competing knowledge claims are made. The result is a flexible conceptual framework committed to a defensible epistemic pluralism, fallibilism, and contextualism, across the various research tasks constituting the field of clinical psychology.

Transdiagnostic Assessment of Temporal Experience (TATE) in Mental Disorders-Empirical Validation and Adaptation of a Structured Phenomenological Interview.

Abnormal experiences of time (ATEs) are an established object of research in phenomenological psychopathology. Objective: The purpose of this study was the first validation of the Transdiagnostic Assessment of Temporal Experience (TATE), a structured phenomenological interview concerning ATEs in individuals with diverse mental health conditions, and its adaptation for the Polish language. Methods: The research employed a mixed-method approach and consisted of several phases including (1) consensual translation; (2) construct and content validation by an expert panel; (3) direct feedback from patients with lived experiences of alcohol addiction, borderline personality, autism, and clinical depression; (4) an auditorium questionnaire with 98 respondents without mental health issues, who were both interviewed and gave qualitative feedback; and (5) a final expert panel and approval. Results: Following multiple stages of modification, the final TATE demonstrates strong internal consistency and validity (Cronbach's α = 0.9), with strong correlations between the frequency, intensity, and impairment of various forms of ATEs as well as their rare occurrence among healthy participants. Conclusions: TATE represents a multidimensional and structured quantitative phenomenological approach to temporal experience for psychiatry and clinical psychology. This article presents the validated version of TATE for Polish alongside updated administration guidelines. It is now the state-of-the-art TATE that may be further adapted to other languages, including English.

Commentary: Optimism for the future of research on disruptive behaviors - an appreciation of good science as illustrated by Nobakht, Steinsbekk & Wichstrom (2023).

This paper by Nobakht, Steinsbekk & Wichstrom (2023) is a model of good science in the study of oppositional defiant disorder and conduct disorder. Their approach illustrates a thoughtful research design, statistical modeling sufficient to empirically evaluate developmental processes, and a full consideration of the theoretical implications of their work. This contrasts with a broad history of research on ODD and CD that far too often has only reified biased assumptions about these phenomena rather than rigorously scrutinizing them. Their demonstration of a unidirectional developmental flow of influence from ODD to interparental aggression, and thence to CD highlights a set of complicated developmental processes involving these disorders and their environment. It expands on evidence of the toll that ODD exerts on parents and provides guidance for more specific intervention. Standards in developmental psychopathology research should include testing bidirectional processes and employing designs that could falsify rather than reify existing beliefs. Examining key mechanisms in such processes will more rapidly generate improvements in assessment and treatment.

Latent structure, measurement invariance, and further validation of an Arabic version of the brief experiential avoidance questionnaire

Experiential avoidance (EA) is a key construct in psychopathology research and practice. Thus, various measures were constructed to assess it, including the Brief Experiential Avoidance Questionnaire (BEAQ). Nevertheless, an Arabic version of the BEAQ has yet to be available, a demand that this study was conducted to fulfill. An Arabic version (BEAQ-A) was developed and tested psychometrically using data from 599 Saudi participants who completed the measures online (Mage = 28.93, ± 8.35, 65.9 % women). Exploratory and confirmatory factor analyses uncovered a 14-item hierarchical structure that comprised one second-order factor and three first-order factors: Perceived Avoidance (PA; 10 items), Procrastination (Proc.; 2 items), and Repression/Denial (RD; 2 items). Utilizing further data from a second sample that completed a paper and pencil (PP) version (N=324, Mage = 22.09, ± 3.92, 56.2 % women), this structure appeared to be partially invariant across modes of administration and gender. The Proc. and R/D loaded significantly, along with psychological distress and negative affectivity items, on the same factor in an EFA, thereby undermining their discriminant validity. All subscales demonstrated good internal consistency reliability. The R/D and BEAQ-A total scores were unique predictors of psychological inflexibility and negative affect. In contrast, depressive and anxiety symptoms, positive affect, and well-being were predicted by Proc. and R/D. In general, findings supported the psychometric suitability of BEAQ-A. However, further research is warranted to replicate findings in larger samples and examine the measure's clinical utility.

Theoretical and Empirical Integration of “Dark” Traits and Socially Aversive Personality Psychopathology

Conceptual work integrating constructs from mainstream personality research (especially so-called “dark” traits) and clinical psychopathology research has been limited. Herein, we propose all socially and/or ethically aversive traits as “flavored” manifestations of the D factor of personality (D). We argue that the D framework provides the commonality of all aversive traits, including the aversive traits from the DSM-5 Alternative Model for Personality Disorders (AMPD), a more thorough theoretical foundation. Moreover, D covers aspects that are not captured by any of the aversive AMPD traits directly (e.g., greed), thus offering indications for possible expansions to the AMPD. We tested our predictions in two online studies (N = 1,781 and N = 2,006) using quota-representative samples of the German population regarding age and gender. Twelve aversive traits from mainstream personality research and eight aversive AMPD traits were assessed together with consequential behavior in an economic game. Analyses using structural equation modeling overall confirmed predictions.

Integrating data science and neuroscience in developmental psychopathology: Formative examples and future directions.

This commentary discusses opportunities for advancing the field of developmental psychopathology through the integration of data science and neuroscience approaches. We first review elements of our research program investigating how early life adversity shapes neurodevelopment and may convey risk for psychopathology. We then illustrate three ways that data science techniques (e.g., machine learning) can support developmental psychopathology research, such as by distinguishing between common and diverse developmental outcomes after stress exposure. Finally, we discuss logistical and conceptual refinements that may aid the field moving forward. Throughout the piece, we underscore the profound impact of Dr Dante Cicchetti, reflecting on how his work influenced our own, and gave rise to the field of developmental psychopathology.

Higher risk-less data: A systematic review and meta-analysis on the role of sex and gender in trauma research.

Women and men are at different risk for posttraumatic stress disorder (PTSD). It is unclear, however, how studies on PTSD risk factors integrate this knowledge into their research. Moreover, the temporal development of women's higher PTSD risk is unknown. In this systematic review and meta-analysis, we examine how prospective studies on PTSD development (k = 47) consider sex and gender across four domains (samples, terminology, analyses, and reporting). Further, we differentially analyze sex/gender differences within five time intervals from 1 month to 5 years posttrauma. PTSD prevalence (OR = 1.72 [1.27-2.34]) and severity (g = 0.31 [0.09, 0.53]) were increased for women relative to men at 1 month posttrauma already, that is, at the first timepoint of a possible PTSD diagnosis. PTSD severity was elevated for women compared to men across all time intervals, but evidence for increased PTSD prevalence for women relative to men was less stable with longer follow-ups. Despite women's higher PTSD burdens, they were clearly underrepresented in samples (68.3% male, 31.7% female participants). Only 5.0% of studies explained or described their understanding of sex and gender, and only 2.6% used sex as discovery variable, that is, investigating sex-dependent risk mechanisms. Sex and gender aspects in design, data, and discussion were considered by only one-third of studies each. Trauma research falls short of its potential to adequately consider sex and gender. Sex- and gender-sensitive practices can advance rigor, innovation, and equity in psychopathology research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Testing Criterion Validity in Hierarchical Models of Psychopathology: Comparison of Latent-Variable and Factor-Score Approaches

The Hierarchical Taxonomy of Psychopathology is a quantitative diagnostic system that is gaining traction as a framework for studying the correlates of mental-health problems. However, it remains unknown how best to operationalize hierarchically related psychopathology dimensions during criterion validity tests. In a series of simulations, we evaluated the performance of latent-variable (i.e., structural equation modeling [SEM]) and factor-score representations of hierarchical psychopathology constructs in criterion validity analyses. In models based on continuously distributed psychopathology indicators (e.g., symptom composites), SEM and factor-score methods both tended to yield unbiased estimates of criterion validity coefficients. In contrast, for models based on dichotomous indicators (e.g., categorical diagnoses), SEM led to more accurate estimates than factor scores in most cases. We offer recommendations for psychopathology researchers based on these results and provide an R function ( https://osf.io/u3j5d/ ) that investigators can use to apply the approaches studied here in real-world data sets.

Theoretical approaches to psychopathology: common cause approach vs. network approach

The common causes (CC) approach is popular in psychopathology research, but nowadays, some experts consider this approach unfit to explain mental disorders. On the other hand, as a new approach, the network approach (NA) claims can provide a better explanation for understanding mental disorders. This study aims to determine the differences between NA and CC approach in psychopathology research. This research is a scoping review study using twelve articles. We searched for articles September-December 2020 in the Scopus and Science Direct databases. The results of the analysis of these articles show a fundamental difference between the two perspectives. The difference lies in the perspective of mental disorders, how to measure symptoms of mental disorders, treatment of mental disorders, and views on comorbidities. Each approach has advantages, although some articles support that NA is the better approach to studying mental disorders. To decide which approach is appropriate for psychopathology research, researchers should adapt it to the research objectives. Perspectives on psychopathology will determine how to answer the research questions and analyze the data.

The next generation of developmental psychopathology research: Including broader perspectives and becoming more precise.

The current Special Issue marks a major milestone in the history of developmental psychopathology; as the final issue edited by Cicchetti, we have an opportunity to reflect on the remarkable progress of the discipline across the last four decades, as well as challenges and future directions for the field. With contemporary issues in mind, including rising rates of psychopathology, health disparities, and international conflict, as well as rapid growth and accessibility of digital and mobile technologies, the discipline of developmental psychopathology is poised to advance multidisciplinary, developmentally- and contextually- informed research, and to make substantial progress in supporting the healthy development of individuals around the world. We highlight key future directions and challenges for the next generation of developmental psychopathology research including further investigation of culture at multiple levels of analysis, incorporation of macro-level influences into developmental psychopathology research, methods advances to address heterogeneity in translational research, precision mental health, and the extension of developmental psychopathology research across the lifespan.

Affective dynamics in mother-adolescent dyads: links to mental health and relationship quality

ABSTRACT Current research in developmental psychopathology has emphasised how emotion dynamics, such as affective variability, relate to psychosocial functioning. In this brief article, we examined mean differences in mothers’ and adolescents’ affective intensity and lability in positive and negative emotions and explored how these emotion dynamics related to depressive symptoms and mother-adolescent relationship quality. We administered individual surveys each day for one week to mother-adolescent dyads (N = 109) that inquired about positive and negative affective states. Affective intensity was measured by the mean across the week and lability by the standard deviation. Participants also reported on their depressive symptoms and adolescents reported on relationship quality. Results showed that positive affect was more intense and more variable than negative affect, and adolescents experienced more intense negative affective and less intense positive affect than mothers. Greater mother and adolescent negative affect intensity and less maternal positive affect intensity related to more depressive symptoms. Affective intensity in mothers and adolescents and affective lability in mothers related to mother-adolescent relationship quality. These findings extend the growing body of knowledge on individuals’ affective intensity and variability by considering family dynamics.

Persistent avoidance of virtual food in anorexia nervosa-restrictive type: Results from motion tracking in a virtual stopping task.

Food avoidance is central to patients with anorexia nervosa-restrictive type (AN-R). Competing accounts in experimental psychopathology research suggest that food avoidance may result from automatic, habitual responses or from elevated inhibitory control abilities. This study investigated behavioral trajectories of food avoidance in a novel virtual reality stopping task. Sixty patients with AN-R and 29 healthy controls with normal weight were investigated using a novel, kinematic task in virtual reality. We recorded spatial displacement in stop- and go-trials to virtual food and control objects. Inhibitory control abilities were operationalized by the VR task in stopping performance (i.e., interrupted movement in stop-trials), whereas we also measured habitual avoidance of virtual food across both go- and stop-trials (i.e., delayed movement relative to nonfood objects). In patients with AN-R, hand displacements were shorter to food versus nonfood across stop- and go-trials, reflected in a Stimulus × Group interaction. Healthy controls showed no differences. Importantly, the food-specific effect in AN-R was identical across stop- and go-trials, indicating habitual food avoidance. Moreover, stop error rates (i.e., stop-trials with response) were lower in patients with AN-R. The findings suggest food-specific habitual avoidance and heightened generalized inhibitory control in AN-R. The continuously delayed displacements during active hand movements across stop- and go-trials indicated the persistence of patients' avoidance of food. Experimental research investigates the mechanisms underlying mental disorders such as anorexia nervosa. In this study, we measured interrupted hand movements in response to food pictures or neutral pictures (shoes) in patients with anorexia nervosa and healthy controls. A virtual reality scenario was used. Findings indicated that patients were slower at approaching food, interrupted or not. Key mechanisms of food avoidance can be translated into habit-based treatment options in future research.

The Content of Personalised Network-Based Case Formulations

Case formulation is at the heart of personalised care in psychotherapy. Scientific research into case formulations can provide new insights in the heterogeneity of psychopathology which are relevant for advances in personalised psychopathology research and practice. This mixed-methods study examined the content of 483 fully personalised network-based case formulations in psychotherapy in terms of uniqueness (i.e., frequencies of concepts) and commonality (i.e., the presence of common themes over the different case formulations). In a real-world clinical care setting, patients co-created network-based case formulations with their therapist as part of their routine diagnostic process. These case formulations feature concepts that are relevant to individual patients and their current situation. We assessed how often concepts were used by different patients to quantify uniqueness. We applied a bottom-up thematic analysis to identify patient-relevant themes from the concepts. The case formulations of 483 patients diagnosed with mood and/or anxiety disorders contained a total of 4908 interpretable concepts of which 4272 (87%) were completely unique. Through thematic analysis, we identified seven overarching themes in the concepts: autonomy, connectedness, emotions, self-care, identity, self-efficacy, and bodily sensations. Case formulations were highly unique, thereby illustrating the importance of personalised diagnostics. The unique concepts could be grouped under seven overarching themes which seem to encompass basic human needs. Current advancements in personalised diagnostics and assessment should have a broader scope than symptoms alone, and could use the themes identified here as part of a topic list in the generation of (network-based) case formulations.

Understanding anxiety through uncertainty quantification.

Uncertainty has been a central concept in psychological theories of anxiety. However, this concept has been plagued by divergent connotations and operationalizations. The lack of consensus hinders the current search for cognitive and biological mechanisms of anxiety, jeopardizes theory creation and comparison, and restrains translation of basic research into improved diagnoses and interventions. Drawing upon uncertainty decomposition in Bayesian Decision Theory, we propose a well-defined conceptual structure of uncertainty in cognitive and clinical sciences, with a focus on anxiety. We discuss how this conceptual structure provides clarity and can be naturally applied to existing frameworks of psychopathology research. Furthermore, it allows formal quantification of various types of uncertainty that can benefit both research and clinical practice in the era of computational psychiatry.

How are poor sleepers with other clinical conditions affected by maladaptive personality traits? A neural network-based analysis.

Psychopathology research mainly focused on the cross-sectional and longitudinal associations between personality and psychiatric disorders without considering the moment-to-moment dynamics of personality in response to environmental situations. The present study aimed to both cluster a young sample according to three mixed clinical conditions (poor sleep quality, depression, and somatization) and to predict the derived clusters by maladaptive personality traits and sex differences using a deep machine learning approach. A sample of 839 adults aged 18-40 years (64% female) from the west of Iran were clustered according to the mixed clinical conditions using the cluster analysis techniques. An Artificial Neural Network (ANN) modeling is used to predict the derived clusters by maladaptive personality traits and biological gender. A receiver operating characteristic (ROC) curve was used to identify independent variables with high sensitivity specific to the derived clusters. The cluster analysis techniques suggested a fully stable and acceptable four-cluster solution for Depressed Poor Sleepers, Nonclinical Good Sleepers, Subclinical Poor Sleepers, and Clinical Poor Sleepers. The ANN model led to the identification of one hidden layer with two hidden units. The results of Area under the ROC Curve were relatively to completely acceptable, ranging from.726 to.855. Anhedonia, perceptual dysregulation, depressivity, anxiousness, and unusual beliefs are the most valuable traits with importance higher than 70%. The machine learning approach can be well used to predict mixed clinical conditions by maladaptive personality traits. Future research can test the complexity of normal personality traits connected to mixed clinical conditions.