Quantifying Dispositional Fear as Threat Sensitivity: Development and Initial Validation of a Model-Based Scale Measure

The Research Domain Criteria initiative aims to reorient the focus of psychopathology research toward biobehavioral constructs that cut across different modalities of measurement, including self-report and neurophysiology. Constructs within the Research Domain Criteria framework are intentionally transdiagnostic, with the construct of "acute threat," for example, broadly relevant to clinical problems and associated traits involving fearfulness and stress reactivity. A potentially valuable referent for research on the construct of acute threat is a structural model of fear/fearlessness questionnaires known to predict variations in physiological threat reactivity as indexed by startle potentiation. The aim of the current work was to develop an efficient, item-based scale measure of the general factor of this structural model for use in studies of dispositional threat sensitivity and its relationship to psychopathology. A self-report scale consisting of 44 items from a conceptually relevant, nonproprietary questionnaire was first developed in a sample of 1,307 student participants, using the general factor of the fear/fearlessness model as a direct referent. This new Trait Fear scale was then evaluated for convergent and discriminant validity with measures of personality and psychopathology in a separate sample (n = 213) consisting of community adults and undergraduate students. The strong performance of the scale in this criterion-validation sample suggests that it can provide an effective means for indexing variations along a dispositional continuum of fearfulness reflecting variations in sensitivity to acute threat.

Integrating the Hierarchical Taxonomy of Psychopathology (HiTOP) into clinical practice

OBJECTIVE

Diagnosis is a cornerstone of clinical practice for mental health care providers, yet traditional diagnostic systems have well-known shortcomings, including inadequate reliability, high comorbidity, and marked within-diagnosis heterogeneity. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a data-driven, hierarchically based alternative to traditional classifications that conceptualizes psychopathology as a set of dimensions organized into increasingly broad, transdiagnostic spectra. Prior work has shown that using a dimensional approach improves reliability and validity, but translating a model like HiTOP into a workable system that is useful for health care providers remains a major challenge.

METHOD

The present work outlines the HiTOP model and describes the core principles to guide its integration into clinical practice.

RESULTS

Potential advantages and limitations of the HiTOP model for clinical utility are reviewed, including with respect to case conceptualization and treatment planning. A HiTOP approach to practice is illustrated and contrasted with an approach based on traditional nosology. Common barriers to using HiTOP in real-world health care settings and solutions to these barriers are discussed.

CONCLUSIONS

HiTOP represents a viable alternative to classifying mental illness that can be integrated into practice today, although research is needed to further establish its utility. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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).

Using a co-twin control design to evaluate alternative trait measures as indices of liability for substance use disorders

To establish a trait-dispositional variable as an indicator of liability for the development of substance use disorders (SUDs), the trait must share heritable variance with SUDs and its association should not be primarily attributable to a direct impact of SUDs on characteristics that define the trait. The current work applied a co-twin control (CTC) modeling approach to data from two monozygotic twin samples to investigate the degree to which different measures of trait-impulsiveness represent indicants of vulnerability to SUDs (liability indicators), or outcomes or concomitants of SUDs (exposure indicators). The Five Factor Model (FFM) trait of conscientiousness was assessed via self-report, and a counterpart neurobehavioral trait of disinhibition was assessed both through self-report and using self-report and brain response measures combined. FFM trait data were available for one twin sample (N = 298); data for variants of P3 brain response were available along with a scale measure of disinhibition in the other (N = 258). CTC analyses revealed only an exposure effect of SUD symptomatology on FFM conscientiousness, indicating that this self-report assessed trait does not index liability for SUDs. By contrast, the disinhibition scale measure showed pronounced liability and weaker exposure-based associations with SUDs - and when quantified using scale scores together with P3 brain response, the exposure-based association was eliminated, such that this disinhibition measure related to SUD symptoms exclusively as a function of liability influences. These findings highlight a distinct advantage of quantifying traits in neurobehavioral terms - namely, the capacity to effectively index dispositional liability for psychopathological outcomes.

Interfacing neural constructs with the Hierarchical Taxonomy of Psychopathology: 'Why' and 'how'

The Hierarchical Taxonomy of Psychopathology (HiTOP) represents a crucial step forward in the empirical refinement of psychiatric nosology. Although grounded in factor analyses of clinical symptoms and affiliated traits, HiTOP encourages research using measures of other types, including neural-system variables, to clarify coherent processes contributing to the hierarchical structure of psychopathology. However, systematic strategies for interfacing HiTOP dimensions with neural-system variables have not been put forth. We discuss reasons for considering neurobiological systems in relation to HiTOP (i.e. 'why') and propose alternative strategies that might be used to develop an interface between HiTOP and neurobiology (i.e. 'how'). In particular, we highlight potential advantages and limitations of establishing this interface through reference to (i) HiTOP dimensions themselves, or conventional personality trait models linked to HiTOP; (ii) alternative trait constructs designed to link conventional personality models and neurobiological measures; and (iii) mechanistic models of neurobiological processes relevant to HiTOP constructs, derived from computational modelling. We discuss the importance of establishing an interface between HiTOP and neurobiology to develop a more comprehensive, mechanistic understanding of psychopathology and to guide the refinement of the HiTOP model. Such efforts have the potential to guide the development and provision of effective, individualized psychological treatment.

Further evaluation of the Triarchic Psychopathy Measure: Evidence from community adult and prisoner samples from Portugal

The Triarchic Measure of Psychopathy (TriPM) was developed to assess manifest expressions of biobehavioural liabilities relevant to psychopathy and other forms of mental illness. Psychometric findings have been examined for a number of international translations of the TriPM, but further work is needed to evaluate its cross-cultural applicability and its properties in clinical versus nonclinical samples. The present study sought to evaluate the reliability and criterion-related validity and characterize the internal factor structure of the European Portuguese version of the TriPM in a large community sample (N = 1,833), and examine its ability to differentiate between community and prisoner (N = 240) samples. Reliability and criterion-related validity analysis supported the TriPM as an effective measure of psychopathic traits. Internal structure was characterized using exploratory structural equation modeling to specify bifactor models for the TriPM's three subscales and for the inventory as a whole; the model for each subscale included a general factor and a variable number of specific factors as determined by parallel analysis. These modeling analyses demonstrated unidimensionality for each TriPM subscale, and provided support for the triarchic structure of the TriPM as a whole. Additionally, Receiver Operating Characteristics analysis showed that the disinhibition score, as assessed by the TriPM, is the most sensitive for differentiating between prisoner and community samples. Our results are in line with other reports regarding the psychometric properties of the TriPM and provide further evidence for the construct validity of the TriPM. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Interrelations Among Biologically Relevant Personality Traits, Emotion Regulation Strategies, and Clinical Symptoms

Biologically relevant personality traits of weak inhibitory control (disinhibition) and threat sensitivity confer vulnerability to various clinical problems. Difficulties with emotion regulation have also been studied extensively in relation to risk for and maintenance of psychopathology. However, it remains unclear how emotion regulation strategies interface with dispositional vulnerabilities in affecting clinical symptomatology. The current study provided an initial examination of the roles of disinhibition, threat sensitivity, and use of key emotion regulation strategies (cognitive reappraisal, expressive suppression) in the occurrence of distress-related symptoms (i.e., depressivity, anxiousness, and borderline personality features). Analyses revealed that trait disinhibition and lowered use of cognitive reappraisal were related to each form of distress symptomatology, with the predictive relationship for disinhibition accounting entirely for that of reappraisal. This finding suggests that deficient top-down control capacity (i.e., disinhibition) is integral to failures in the use of an adaptive but cognitively demanding regulation strategy (i.e., reappraisal). By contrast, threat sensitivity was related both to anxiousness and use of expressive suppression, with the latter two variables unrelated to one another. Anxious individuals may avoid emotionally evocative situations, negating the downstream need to engage in the maladaptive strategy of expressive suppression. Despite certain study limitations (a cross-sectional, self-report design; modest sample size), the current study yielded evidence in line with study hypotheses, indicating a pivotal role for dispositional traits in associations between cognitive-behavioral processes and clinical problems.

Comparing the Triarchic and Five-Factor Trait Models: Relations With Psychopathy and Other Clinical Criteria in an Incarcerated Offender Sample

This study compared how normative personality dimensions of the Five-Factor Model (FFM) and neurobehavioral traits of the triarchic model relate to psychopathic tendencies and clinical outcomes in an incarcerated sample of 277 Italian male offenders. Associations between triarchic model traits, measured using the TriPM and the FFM dimensions, measured using the NEO-FFI, were consistent with prior studies. Scores on the TriPM, particularly the Disinhibition scale, were associated with substance abuse and self-harm behavior over and above the presence of psychopathy, and beyond the personality dimensions indexed by the NEO-FFI. By contrast, the Neuroticism and Extraversion scales showed incremental validity, over and above psychopathy and TriPM scores, in predicting depressive tendencies. Lastly, both NEO-FFI and TriPM scales contributed to prediction of staff ratings of behavior in prison and prognosis for release, above and beyond psychopathy. These findings highlight potential advantages of the FFM and triarchic trait models for predicting clinical outcomes.

Incorporating neurophysiological measures into clinical assessments: Fundamental challenges and a strategy for addressing them

Recent scientific initiatives have called for increased use of neurobiological variables in clinical and other applied assessments. However, the task of incorporating neural measures into psychological assessments entails significant methodological challenges that have not been effectively addressed to date. As a result, neurophysiological measures remain underutilized in clinical and applied assessments, and formal procedures for integrating such measures with report-based measures are lacking. In this article, we discuss major methodological issues that have impeded progress in this direction, and propose a systematic research strategy for integrating neurophysiological measures into psychological assessment protocols. The strategy we propose is an iterative psychoneurometric approach that provides a means to establish multimethod (MM) measurement models for core biobehavioral traits that influence functioning across diverse areas of life. We provide a detailed illustration of a MM model for one such trait, inhibitory control (inhibition-disinhibition), and highlight work being done to develop counterpart models for other biobehavioral traits (i.e., threat sensitivity, reward sensitivity, affiliative capacity). We discuss how these measurement models can be refined and extended through use of already existing data sets, and outline steps that can be taken to establish norms for MM assessments and optimize the feasibility of their use in everyday practice. We believe this model-oriented strategy can provide a viable pathway toward effective use of neurophysiological measures in routine clinical assessments. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

CALLOUSNESS AND AFFECTIVE FACE PROCESSING: CLARIFYING THE NEURAL BASIS OF BEHAVIORAL-RECOGNITION DEFICITS THROUGH USE OF BRAIN ERPS

Callousness encompasses a lack of guilt, shallow affect, and deficient affiliative tendencies and relates to severe antisocial behavior. Across developmental stages, callousness is associated with abnormalities in emotional processing, including decreased physiological reactivity to emotional faces. The current study recruited an adult participant sample to investigate selective associations of callousness with deficits in behavioral performance and reduced neurophysiological response within a face-processing task. Participants higher in callousness demonstrated decreased reactivity to fearful faces across temporal components of the electrocortical response along with reduced accuracy in identifying fearful faces. Further analyses demonstrated that LPP amplitude alone was related to behavioral response and mediated the association between callousness and impaired recognition of fear faces. These findings clarify the nature of face processing deficits in relation to callousness and have implications for biologically informed interventions to reduce antisocial behavior.

Modeling Relations Between Triarchic Biobehavioral Traits and DSM Internalizing Disorder Dimensions

The biobehavioral traits of the triarchic model of psychopathy have well-known correlates with externalizing psychopathology. Although evidence also suggests associations with internalizing disorders, research has yet to formally model relationships between dimensions of internalizing psychopathology and triarchic traits. Employing a sample of 218 adults (50.2% female), the current study used confirmatory factor analysis to characterize how triarchic trait dimensions-delineated using different scale operationalizations-relate to internalizing when modeled as a single broad factor, and as distinct fear and distress subfactors. Findings demonstrated (a) robust opposing relations for triarchic boldness (+) and disinhibition (-), and an interactive association for the two, with general internalizing, along with a modest negative relationship for meanness; and (b) distinct associations for the three triarchic trait dimensions with fear and distress subfactors of internalizing. This work clarifies how facets of psychopathy relate to the internalizing psychopathology spectrum and provides a means for interfacing this spectrum with biological variables.

Blunted Reward Sensitivity and Trait Disinhibition Interact to Predict Substance Use Problems

Reward deficit models of addiction posit weaknesses in reward sensitivity to be promotive of substance dependence, while the externalizing spectrum model views substance problems as arising in large part from a general disinhibitory liability. The current study sought to integrate these perspectives by testing for separate and interactive associations of disinhibition and reward dysfunction with interview-assessed substance use disorders (SUDs). Community and college adults (N = 199) completed a scale measure of trait disinhibition and performed a gambling-feedback task yielding a neural index of reward sensitivity, the 'Reward Positivity' (RewP). Disinhibition and blunted RewP independently predicted SUDs, and also operated synergistically, such that participants - in particular, men - with high levels of disinhibition together with blunted RewP exhibited especially severe substance problems. Though limited by its cross-sectional design, this work provides new information about the interplay of disinhibition, reward processing, and gender in SUDs and suggests important directions for future research.

Modeling the Structure of the Triarchic Psychopathy Measure: Conceptual, Empirical, and Analytic Considerations

This study sought to characterize the factor structure of the Triarchic Psychopathy Measure (TriPM) using data from a sample of 1,082 community-dwelling Italian adults. Exploratory structural equation modeling (ESEM) was used to compare the fit of a bifactor model for each TriPM scale, in which specific-content factors were specified along with a general factor, with the fit of a single, general-factor model. Robust weighted least square (WLSMV) ESEM supported a bifactor latent structure of the TriPM items for all individual scales. When we jointly factor analyzed the 58 TriPM items, a WLSMV ESEM three-factor structure showed adequate fit; the three ESEM factors were akin to TriPM Boldness, Meanness, and Disinhibition theoretical dimensions, respectively, and could be effectively replicated across gender subgroups. Our findings support the three-factor structure of TriPM items, at least in Italian community-dwelling adults, and provide further evidence for the construct validity of the TriPM.

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).

Genetic and environmental influences on disinhibition, boldness, and meanness as assessed by the triarchic psychopathy measure in 19-20-year-old twins

BACKGROUND

The Triarchic Psychopathy Measure (TriPM) provides Disinhibition, Boldness, and Meanness scales for assessing the three trait domains of the triarchic model. Here we examined the genetic and environmental etiology of these three domains, including evaluation of potential sex differences.

METHODS

A total of 1016 men and women ages 19-20 years were drawn from the University of Southern California Risk Factors for Antisocial Behavior twin study.

RESULTS

Scores for the three TriPM scales were correlated to differing degrees, with the strongest phenotypic correlation between Disinhibition and Meanness. No sex differences were found in the genetic and environmental influences underlying these three domains, suggesting that the same genes and life experiences contribute to these traits in young men and women. For TriPM Disinhibition and Boldness, genetic factors explained about half or less of the variance, with the rest of the variance being explained by non-shared environmental factors. For TriPM Meanness, on the other hand, genetic, shared environmental, and non-shared environmental factors accounted for the variance. The phenotypic correlation between Disinhibition and Meanness was explained in part by common genes (26%), with the remainder attributable about equally to common shared (39%), and non-shared environmental influences (35%).

CONCLUSIONS

These findings contribute to our understanding of psychopathic personality traits by demonstrating the importance of heritable factors for disinhibition and boldness facets of psychopathy, and the importance of shared environmental influences for the meanness facet.

Improving characterization of psychopathy within the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), alternative model for personality disorders: Creation and validation of Personality Inventory for DSM-5 Triarchic scales

The latest edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) bridges a significant gap in psychiatric nosology by providing trait-based characterizations of psychopathy along with antisocial personality disorder within the Section III alternative model for personality disorders (AMPD). However, the representation of psychopathy in the AMPD has met with some criticisms (Crego & Widiger, 2014; Few, Lynam, Maples, MacKillop, & Miller, 2015). The current study was undertaken to establish an improved means for characterizing psychopathy in DSM-5 Section III terms, by creating scale measures of triarchic psychopathy dimensions using items from the best-established assessment instrument for the AMPD, the Personality Inventory for DSM-5 (PID-5). Using data from a sample of community adults (N = 210), we employed a construct rating and psychometric refinement approach to develop item-based PID-5 Triarchic scales for measuring psychopathy dimensions of boldness, meanness, and disinhibition. The validity of the PID-5 Triarchic scales was then evaluated in relation to criteria including other scale measures of the triarchic constructs and psychopathy, self-reported antisocial behavior and substance use, empathy, internalizing and other clinical problems, and personality within the development sample and a separate independent sample of adults (N = 240) recruited to have elevated psychopathic traits. Results of this work provide a foundation for improved characterization of psychopathy in terms of the AMPD trait system and provide a mechanism for future research oriented toward clarifying the developmental interface between childhood conduct disorder and psychopathy, as well as identifying neurobiological correlates of dimensions of psychopathy. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research

For more than a century, research on psychopathology has focused on categorical diagnoses. Although this work has produced major discoveries, growing evidence points to the superiority of a dimensional approach to the science of mental illness. Here we outline one such dimensional system-the Hierarchical Taxonomy of Psychopathology (HiTOP)-that is based on empirical patterns of co-occurrence among psychological symptoms. We highlight key ways in which this framework can advance mental-health research, and we provide some heuristics for using HiTOP to test theories of psychopathology. We then review emerging evidence that supports the value of a hierarchical, dimensional model of mental illness across diverse research areas in psychological science. These new data suggest that the HiTOP system has the potential to accelerate and improve research on mental-health problems as well as efforts to more effectively assess, prevent, and treat mental illness.

Boldness moderates the effects of external threat on performance within a task-switching paradigm

Set shifting involves the capacity to effectively and efficiently direct mental resources in the service of dynamically changing goal representations. This capacity is important in everyday life and may be vital in situations where processing resources needed for adaptive action may be diverted by cues for external danger or threat (e.g., first responding, military combat, trauma surgery). Although considerable research has investigated performance in set-shifting tasks, little work exists on how the presence of external threats may affect the capacity to flexibly deploy cognitive resources. Even less is known about individual difference factors that might moderate such effects. The current study addressed these gaps in the literature through use of a novel task-switching procedure in which participants (N = 77) performed two tasks in alternation under shock-threat and no-shock ("safe") conditions. Results indicated that behavioral performance was impacted by the presence of threat. However, these effects were moderated by individual differences in threat reactivity as indexed by both self-report and physiological measures. Our findings serve to clarify the impact of explicit threat on set-shifting performance. In addition, they encourage further use of the threat/task-switching paradigm as a laboratory model for studying individual differences in performance under conditions of pressure or peril. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Categorical and Dimensional Conceptions of Personality Pathology in DSM-5: Toward a Model-Based Synthesis

Symptom-based models, typically operationalized through diagnostic interview, and trait models, typically operationalized via questionnaire inventories, reflect historically competing conceptions of personality disorder (PD). DSM-5 includes models of both types, in Sections II and III, respectively. In this study, we sought to synthesize these alternative conceptualizations by fitting bifactor models to data for both Section II PD symptoms (assessed using the SCID-II interview protocol) and dimensional traits for the six PDs retained in Section III (assessed using the Personality Inventory for DSM-5). Bifactor models fit the data effectively for all six PDs, and trait and symptom indicators both loaded appreciably on general factors reflecting cross-domain PD constructs. These results provide the basis for a principled, quantitative synthesis of categorical/interview and dimensional/self-report approaches to operationalizing and studying PDs, with considerable implications for diagnosis, research, and practice.

Psychopathy and Internalizing Psychopathology: A Triarchic Model Perspective

Methodological and conceptual differences across studies have impeded our understanding of the relationship between psychopathy and internalizing psychopathology. To shed further light on this question, we undertook correlational and structural-modeling analyses of data from two samples to characterize how facets of psychopathy relate to internalizing psychopathology when assessed using multidimensional measures of each construct (i.e., Triarchic Psychopathy Measure, Inventory of Depression and Anxiety Symptoms). Participants for Study 1 were 470 undergraduates and community-dwelling adults who completed these measures in self-report form; participants for Study 2 were 301 community-dwelling adults who completed informant-rating versions of these measures (as applied to a known-other). Across samples, analyses revealed sharply contrasting associations for the three triarchic-model facets with internalizing psychopathology and its subdomains, with boldness relating negatively in most cases, disinhibition relating positively in most cases, and meanness exhibiting mostly null associations. Results provide a nuanced picture of associations between psychopathic symptomatology and internalizing problems.

Not Just for Adults: Using the Triarchic Model of Psychopathy to Inform Developmental Models of Conduct Problems in Adolescence

The triarchic model of psychopathy was advanced to reconcile differing historic conceptions of this condition and alternative approaches for assessing it. The current study was undertaken to expand the empirical evidence base for the triarchic model by examining its correlates in adolescents, with measures of particular relevance to developmental theories of antisocial behavior. Self-report scales assessing the triarchic constructs were administered along with measures of conduct problems, callous-unemotional traits, attachment style dimensions, negative emotionality, and hyperactivity/inattention to 608 Italian adolescents (272 girls; M age = 16.70 years). The disinhibition dimension of the triarchic model was related most highly to general externalizing outcomes, such as conduct problems and hyperactivity-inattention, in this adolescent sample. The meanness dimension was selectively related to callous-unemotional traits and other measures of limited prosocial emotions and to affiliation motives that emphasize social gain. Triarchic boldness was associated with greater emotional stability and greater confidence in peer relationships. Of interest, an interaction between meanness and boldness was evident in predicting a lower need to understand one's own and others' emotions. These results provide a valuable illustration of the potential of the triarchic model to help advance developmental models of antisocial behavior in youth. Public Significance Statement This study examined how dimensions of psychopathy described by the triarchic model relate to measures of problem behaviors and affective-interpersonal style in an adolescent sample. Scores on the three triarchic dimensions-disinhibition, meanness, and boldness-showed meaningful contrasting relations with conduct problems, hyperactivity/inattention, callous-unemotional traits, emotional proclivities, and attachment style dimensions. This work illustrates how the triarchic model conceptualization can help advance developmental models of the emergence of antisocial behavior.