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Theoretical and methodological research on threat conditioning provides important neuroscience-informed approaches to studying fear and anxiety. The threat conditioning framework is at the vanguard of physiological and neurobiological research into core mechanistic symptoms of anxiety-related psychopathology, providing detailed models of neural circuitry underlying variability in clinically relevant behaviors (e.g., decreased extinction, heightened generalization) and heterogeneity in clinical anxiety presentations. Despite the strengths of this approach in explaining symptom and syndromal heterogeneity, the vast majority of psychopathology-oriented threat conditioning work has been conducted using Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic categories, which fail to capture the symptom-level resolution that is afforded by threat conditioning indices. Furthermore, relations between fine-grained neurobehavioral measures of threat conditioning and anxiety traits and symptoms are substantially attenuated by within-category heterogeneity, arbitrary boundaries, and inherent comorbidity in the DSM approach. Conversely, the Hierarchical Taxonomy of Psychopathology (HiTOP) is a promising approach for modeling anxiety symptoms relevant to threat conditioning work and for relating threat conditioning to broader anxiety-related constructs. To date, HiTOP has had a minimal impact on the threat conditioning field. Here, we propose that combining the HiTOP and neurobehavioral threat conditioning approaches is an important next step in studying anxiety-related pathology. We provide a brief review of prominent DSM critiques and how they affect threat conditioning studies and review relevant research and suggest solutions and recommendations that flow from the HiTOP perspective. Our hope is that this effort serves as both an inflection point and practical primer for HiTOP-aligned threat conditioning research that benefits both fields. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Attachment theory, as originally outlined by Bowlby (1973, 1980, 1969/1982), suggests that the ways people think, feel, and behave in close relationships are shaped by the dynamic interplay between their genes and their social environment. Research on adult attachment, however, has largely focused on the latter, providing only a partial picture of how attachment styles emerge and develop throughout life. The present research leveraged data from the Minnesota Twin Registry, a large sample of older adult twins ( N = 1,377 twins; 678 pairs; M age = 70.40 years, SD = 5.42), to examine the relative contributions of genetic and environmental factors to adult attachment styles. Participants reported on both their general attachment styles and relationship-specific attachments to their mothers, fathers, partners, and best friends. The results suggest that attachment styles are partly heritable (∼36%) and partly attributable to environmental factors that are not shared between twins (∼64%). Heritability estimates were somewhat higher for parent-specific attachment styles (∼51%), whereas nonshared environmental factors accounted for larger proportions of the variance in partner- and best friend-specific attachment styles. Using multivariate biometric models, we also examined the genetic and environmental factors underlying the covariation among people's relationship-specific attachment styles. The findings indicate that the similarities among people's avoidant tendencies in different relationships can be explained by a single, higher order latent factor (e.g., global avoidance). In contrast, the genetic and environmental factors underlying attachment anxiety appear to be more differentiated across specific close relationships. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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).

Quantitative, empirical approaches to establishing the structure of psychopathology hold promise to improve on traditional psychiatric classification systems. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a framework that summarizes the substantial and growing body of quantitative evidence on the structure of psychopathology. To achieve its aims, HiTOP must incorporate emerging research in a systematic, ongoing fashion. In this article, we describe the historical context and grounding of the principles and procedures for revising the HiTOP framework. Informed by strengths and shortcomings of previous classification systems, the proposed revisions protocol is a formalized system focused around three pillars: (a) prioritizing systematic evaluation of quantitative evidence by a set of transparent criteria and processes, (b) balancing stability with flexibility, and (c) promoting inclusion over gatekeeping in all aspects of the process. We detail how the revisions protocol will be applied in practice, including the scientific and administrative aspects of the process. Additionally, we describe areas of the HiTOP structure that will be a focus of early revisions and outline challenges for the revisions protocol moving forward. The proposed revisions protocol is designed to ensure that the HiTOP framework reflects the current state of scientific knowledge on the structure of psychopathology and fulfils its potential to advance clinical research and practice. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Confirmatory factor analysis (CFA) and its bifactor models are popular in empirical investigations of the factor structure of psychological constructs. CFA offers straightforward hypothesis testing but has notable pitfalls, such as the imposition of strict assumptions (i.e., simple structure) that obscure unmodeled complexity. Due to the limitations of bifactor CFAs, they have yielded anomalous results across samples and studies that suggest model misspecification (e.g., evaporating specific factors and unexpected loadings). We propose the use of exploratory factor analysis (EFA) to evaluate the structural validity of CFA solutions-either before or after the estimation of more restrictive CFA models-to (a) identify model misspecifications that may drive anomalous estimates and (b) confirm CFA models by examining whether hypothesized structures emerge with limited researcher input. We evaluated the degree to which predominant factor structures were invariant across contexts along the exploratory-confirmatory continuum and demonstrate how poor methodological choices can distort results and impede theory development. All CFA models fit well, but there were numerous differences in replicability and substantive interpretability. Several similarities emerged between bifactor CFA and EFA models, including evidence of overextraction, the collapse of specific factors onto the general factor, and subsequent shifts in how the general factor was defined. We situate these methodological shortcomings within the broader literature on structural models of psychopathology, articulate implications for theories (such as the p -factor) that are borne out of factor analysis, outline several remedies for problems encountered when performing exploratory bifactor analysis, and propose alternative specifications for confirmatory bifactor models. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a novel diagnostic system grounded in empirical research into the architecture of mental illness. Its basic units are continuous dimensions-as opposed to categories-that are organized into a hierarchy according to patterns of symptom co-occurrence observed in quantitative studies. Previous HiTOP discussions have focused on existing evidence regarding the model's structure and ability to account for neurobiological, social, cultural, and clinical variation. The present article looks ahead to the next decade of applied research and clinical practice using the HiTOP rubric. We highlight 10 topics where HiTOP has the potential to make significant breakthroughs. Research areas include genetic influences, environmental contributions, neural mechanisms, real-time dynamics, and lifespan development of psychopathology. We also discuss development of novel assessments, forecasting methods, and treatments. Finally, we consider implications for clinicians and educators. For each of these domains, we propose directions for future research and venture hypotheses as to what HiTOP will reveal about psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Personality Inventory for DSM-5 (PID-5) is the primary tool for assessing maladaptive personality traits within the DSM-5 alternative model for personality disorders. Evidence has begun to accumulate on the replicability and measurement invariance of its five-domain factor structure across countries, clinical and community populations, and sex, but its equivalency across racial groups within a given country is largely unstudied. Attempting to replicate the evidence of noninvariance demonstrated by Bagby et al. (2022), we examined the factor structure of the PID-5 across White Americans ( n = 612) and Black Americans ( n = 613) within the United States. The five-domain structure emerged across both samples with reasonably congruent factor loadings. Therefore, we tested for measurement invariance using the 13-step framework advocated by Marsh et al. (2009) for personality data. We found support for the PID-5's comparability across racial groups, offering some preliminary backing for its use with Black Americans, though additional evidence is needed to clarify the conflicting results and further validate the instrument. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Objective: The causes of substance use disorders (SUDs) are largely unknown and the effectiveness of their treatments is limited. One crucial impediment to research and treatment progress surrounds how SUDs are classified and diagnosed. Given the substantial heterogeneity among individuals diagnosed with a given SUD (e.g., alcohol use disorder [AUD]), identifying novel research and treatment targets and developing new study designs is daunting., Method: In this article, we review and integrate two recently developed frameworks, the National Institute on Drug Abuse's Phenotyping Assessment Battery (NIDA PhAB) and the Hierarchical Taxonomy of Psychopathology (HiTOP), that hope to accelerate progress in understanding the causes and consequences of psychopathology by means of deep phenotyping, or finer-grained analysis of phenotypes., Results and Conclusions: NIDA PhAB focuses on addiction-related processes across multiple units of analysis, whereas HiTOP focuses on clinical phenotypes and covers a broader range of psychopathology. We highlight that NIDA PhAB and HiTOP together provide deep and broad characterizations of people diagnosed with SUDs and complement each other in their efforts to address widely known limitations of traditional classification systems and their diagnostic categories. Next, we show how NIDA PhAB and HiTOP can be integrated to facilitate optimal rich phenotyping of addiction-related phenomena. Finally, we argue that such deep phenotyping promises to advance our understanding of the neurobiology of SUD and addiction, which will guide the development of personalized medicine and interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Externalizing Spectrum Inventory-Brief Form (ESI-BF) measures tendencies toward disinhibition, lack of control, aggression, and substance use. This study adapts the ESI-BF to the Spanish population and assesses its psychometric properties. The study included 742 community adults obtained by stratified random sampling with proportional allocation according to gender, age, and geographical area of the Spanish territory and a clinical sample consisting of 333 patients. All participants completed the Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders, fifth edition (PID-5) and the Alcohol Substance Dependence Severity Scale, in addition to the Spanish version of the ESI-BF. Reliability was quantified using McDonald's omega and Cronbach's α reliability coefficients. Validity evidences were studied applying confirmatory factor analysis (CFA) and correlations. Results indicated adequate reliability of scores on the ESI-BF's general factors and most of its facets. Regarding internal structure, and in line with previous studies, both symmetric and S-1 hierarchical two-subfactor (bifactor) emerged as the best-fitting models. Considering both criticisms of symmetric models and parsimony, the S-1 bifactor model, which showed configural invariance across gender and samples, was retained. Validity evidence based on the relationship with other measures of personality and alcohol consumption show correlations values theoretically expected in both clinical and community samples. Findings suggest that the Spanish adaptation of the ESI-BF shows functional near-equivalence to the original version. Its effective psychometric properties make it useful instrument for further research related to the externalizing spectrum. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Explicitly or implicitly, psychopathology is often defined in terms of statistical deviance, requiring that an affected individual be sufficiently distant from the norm in some dimension of psychological or neural function. In recent decades, the dominant paradigm in psychiatric research has focused primarily on deviance in neural function, treating psychopathology as disease of the brain. We argue that these conceptualizations are misguided. We recently proposed a novel theory of psychopathology, based in cybernetics and drawing additionally from neuroscience, psychometrics, and personality theory (DeYoung & Krueger, 2018a). In this theory, deviations from the norm in psychological and neural functioning serve as important risk factors for psychopathology but are not in themselves necessary or sufficient to identify psychopathology, which requires the presence of cybernetic dysfunction. Psychopathology is defined as persistent failure to move toward one's goals, due to failure to generate effective new goals, interpretations, or strategies when existing ones prove unsuccessful. We argue that adopting a cybernetic theory to replace conceptualizations of psychopathology as statistical deviance or brain disease would facilitate improvements in measurement, diagnosis, prevention, and treatment of psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The current study examined whether personality domains have nonmonotonic relationships with functional outcomes, specifically in relation to quality of life and impairment. Four samples were utilized, which were drawn from the United States and Germany. Personality trait domains were measured via the IPIP-NEO and PID-5; quality of life (QoL) was measured with the WHOQOL-BREF, and impairment was measured using the WHODAS-2.0. The PID-5 was analyzed in all four samples. Two-line testing, which fits two spline regression lines separated at a break point, was conducted to evaluate potential nonmonotonicity of the relationship between personality traits and quality of life. Overall, results demonstrated little support for nonmonotonic relationships in the PID-5 and IPIP-NEO dimensions. Rather, our results indicate that there is one clear pathological pole of major domains of personality that is associated with lower quality of life and increased impairment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

As evidenced by our exchange with Bader and Moshagen (2022), the degree to which model fit indices can and should be used for the purpose of model selection remains a contentious topic. Here, we make three core points. First, we discuss the common misconception about fit statistics' abilities to identify the "best model," arguing that mechanical application of model fit indices contributes to faulty inferences in the field of quantitative psychopathology. We illustrate the consequences of this practice through examples in the literature. Second, we highlight the parsimony-adjacent concept of fitting propensity, which is not accounted for by commonly used fit statistics. Finally, we present specific strategies to overcome interpretative bias and increase generalizability of study results and stress the importance of carefully balancing substantive and statistical criteria in model selection scenarios. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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).

The American Psychiatric Association supported the development of several instruments to assess personality pathology according to the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5 ) Section III. These instruments include self- and informant report forms as well as clinician-rated measures of personality traits and impairment. To date, the psychometric properties of the DSM-5 Section III clinician-rated measures have received limited investigation. The objective of the current investigation was to evaluate the convergence between self-report and clinician-rated measures of DSM-5 personality pathology in a diagnostically heterogeneous psychiatric patient sample. A total of 201 outpatients with current psychiatric symptoms were recruited from a psychiatric hospital patient research registry. Participants completed both clinician-rated and self-reported measures of personality pathology. Self-reported personality traits converged with clinician-rated personality traits, with medium to large effect sizes. Current and Section III personality disorder criteria demonstrated significant convergence, most with medium to large effect sizes. Self-reported and clinician-rated personality impairment correlated with small to medium effect sizes. The current investigation incorporates a multi-informant assessment of personality in a psychiatric outpatient sample. These results provide evidence for the validity of the scores of the clinician-rated instruments used to implement this model. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The present study (a) tested whether a structure of common mental disorders within the hierarchical taxonomy of psychopathology was invariant from late childhood to adolescence in a sample of Mexican-origin youth, (b) examined the developmental course of psychopathology at different levels of the hierarchy, and (c) tested the degree to which changes in psychopathology were associated with changes in the Big Five personality domains. Results were consistent with the longitudinal hierarchical invariance of common mental disorders from age 12 to 17 ( n = 674). Further, initial levels of conscientiousness, agreeableness, and emotional stability were positively associated with lower initial levels of a higher order factor of psychopathology, and increases in extraversion and decreases in neuroticism were associated with decreases in a higher order factor of psychopathology, which captured the general tendency for externalizing, internalizing, and attention-hyperactivity-related dimensions of psychopathology to correlate. Results of the present study indicate that a hierarchical model of common mental disorders extends to Mexican-origin youth and that developmental change in Big Five personality are related to developmental change in psychopathology. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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).

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 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).

[Correction Notice: An Erratum for this article was reported in Vol 29(11) of Psychological Assessment (see record 2016-56886-001). In the article, several values were reversed and the mean was misreported in Table 2. The corrected table is present in the erratum.] Pathological narcissism represents a clinically relevant, albeit controversial personality construct, with multiple conceptualizations that are operationalized by different measures. Even in the recently published Diagnostic and Statistical Manual for Mental Disorders-Fifth Edition (DSM-5), 2 different views of narcissistic personality disorder (NPD) are formulated (i.e., Section II and Section III). The DSM-5 Section III alternative PD model diagnosis of NPD is based on self and interpersonal dysfunction (Criterion A) and a profile of maladaptive personality traits (Criterion B), specifically elevated scores on Attention Seeking and Grandiosity. Given the diversity of conceptualizations of pathological narcissism, we evaluated the convergences and divergences in DSM-5 trait profiles characterizing multiple measures of narcissism in a clinical sample of 278 consecutively admitted Italian psychotherapy patients. Patients were administered the Italian versions of the Personality Inventory for DSM-5 (PID-5) and 4 measures of NPD, (a) the Narcissistic Personality Inventory (NPI); (b) the NPD scale of the Personality Diagnostic Questionnaire-4+; (c) the Structured Clinical Interview for Axis II Personality Disorders, Version 2.0 (SCID-II) as an observer-rated measure of NPD; and (d) the Pathological Narcissism Inventory (PNI). Multiple regression analyses showed that PID-5 traits explained from 13% to more than 60% of the variance in the different NPD measures. Attention Seeking was consistently associated with all measures of NPD, whereas Grandiosity was associated with some of the NPD measures. All measures of NPD were also significantly related to additional DSM-5 maladaptive traits. (PsycINFO Database Record, ((c) 2017 APA, all rights reserved).)

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, ((c) 2017 APA, all rights reserved).)

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, ((c) 2017 APA, all rights reserved).)

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, ((c) 2017 APA, all rights reserved).)

The Diagnostic and Statistical Manual for Mental Disorders-Fifth Edition (DSM-5) proposes an alternative model for personality disorders, which includes maladaptive-level personality traits. These traits can be operationalized by the Personality Inventory for the DSM-5 (PID-5). Although there has been extensive research on genetic and environmental influences on normative level personality, the heritability of the DSM-5 traits remains understudied. The present study addresses this gap in the literature by assessing traits indexed by the PID-5 and the International Personality Item Pool NEO (IPIP-NEO) in adult twins (N = 1,812 individuals). Research aims include (a) replicating past findings of the heritability of normative level personality as measured by the IPIP-NEO as a benchmark for studying maladaptive level traits, (b) ascertaining univariate heritability estimates of maladaptive level traits as measured by the PID-5, (c) establishing how much variation in personality pathology can be attributed to the same genetic components affecting variation in normative level personality, and (d) determining residual variance in personality pathology domains after variance attributable to genetic and environmental components of general personality has been removed. Results revealed that PID-5 traits reflect similar levels of heritability to that of IPIP-NEO traits. Further, maladaptive and normative level traits that correlate at the phenotypic level also correlate at the genotypic level, indicating overlapping genetic components contribute to variance in both. Nevertheless, we also found evidence for genetic and environmental components unique to maladaptive level personality traits, not shared with normative level traits. (PsycINFO Database Record, ((c) 2017 APA, all rights reserved).)

The reliability and validity of traditional taxonomies are limited by arbitrary boundaries between psychopathology and normality, often unclear boundaries between disorders, frequent disorder co-occurrence, heterogeneity within disorders, and diagnostic instability. These taxonomies went beyond evidence available on the structure of psychopathology and were shaped by a variety of other considerations, which may explain the aforementioned shortcomings. The Hierarchical Taxonomy Of Psychopathology (HiTOP) model has emerged as a research effort to address these problems. It constructs psychopathological syndromes and their components/subtypes based on the observed covariation of symptoms, grouping related symptoms together and thus reducing heterogeneity. It also combines co-occurring syndromes into spectra, thereby mapping out comorbidity. Moreover, it characterizes these phenomena dimensionally, which addresses boundary problems and diagnostic instability. Here, we review the development of the HiTOP and the relevant evidence. The new classification already covers most forms of psychopathology. Dimensional measures have been developed to assess many of the identified components, syndromes, and spectra. Several domains of this model are ready for clinical and research applications. The HiTOP promises to improve research and clinical practice by addressing the aforementioned shortcomings of traditional nosologies. It also provides an effective way to summarize and convey information on risk factors, etiology, pathophysiology, phenomenology, illness course, and treatment response. This can greatly improve the utility of the diagnosis of mental disorders. The new classification remains a work in progress. However, it is developing rapidly and is poised to advance mental health research and care significantly as the relevant science matures. (PsycINFO Database Record, ((c) 2017 APA, all rights reserved).)

The Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) Section III Alternative Model for Personality Disorders (AMPD; APA, 2013) represents an innovative system for simultaneous psychiatric classification and psychological assessment of personality disorders (PD). The AMPD combines major paradigms of personality assessment and provides an original, heuristic, flexible, and practical framework that enriches clinical thinking and practice. Origins, emerging research, and clinical application of the AMPD for diagnosis and psychological assessment are reviewed. The AMPD integrates assessment and research traditions, facilitates case conceptualization, is easy to learn and use, and assists in providing patient feedback. New as well as existing tests and psychometric methods may be used to operationalize the AMPD for clinical assessments.

We propose a taxonomy of psychopathology based on patterns of shared causal influences identified in a review of multivariate behavior genetic studies that distinguish genetic and environmental influences that are either common to multiple dimensions of psychopathology or unique to each dimension. At the phenotypic level, first-order dimensions are defined by correlations among symptoms; correlations among first-order dimensions similarly define higher-order domains (e.g., internalizing or externalizing psychopathology). We hypothesize that the robust phenotypic correlations among first-order dimensions reflect a hierarchy of increasingly specific etiologic influences . Some nonspecific etiologic factors increase risk for all first-order dimensions of psychopathology to varying degrees through a general factor of psychopathology. Other nonspecific etiologic factors increase risk only for all first-order dimensions within a more specific higher-order domain. Furthermore, each first-order dimension has its own unique causal influences. Genetic and environmental influences common to family members tend to be nonspecific, whereas environmental influences unique to each individual are more dimension-specific. We posit that these causal influences on psychopathology are moderated by sex and developmental processes. This causal taxonomy also provides a novel framework for understanding the heterogeneity of each first-order dimension: Different persons exhibiting similar symptoms may be influenced by different combinations of etiologic influences from each of the 3 levels of the etiologic hierarchy. Furthermore, we relate the proposed causal taxonomy to transdimensional psychobiological processes, which also impact the heterogeneity of each psychopathology dimension. This causal taxonomy implies the need for changes in strategies for studying the etiology, psychobiology, prevention, and treatment of psychopathology. (PsycINFO Database Record, ((c) 2017 APA, all rights reserved).)

Traditionally, psychopathology has been conceptualized in terms of polythetic categories derived from committee deliberations and enshrined in authoritative psychiatric nosologies-most notably the Diagnostic and Statistical Manual of Mental Disorders (DSM; American Psychiatric Association [APA], 2013). As the limitations of this form of classification have become evident, empirical data have been increasingly relied upon to investigate the structure of psychopathology. These efforts have borne fruit in terms of an increasingly consistent set of psychopathological constructs closely connected with similar personality constructs. However, the work of validating these constructs using convergent sources of data is an ongoing enterprise. This special section collects several new efforts to use structural approaches to study the validity of this empirically based organizational scheme for psychopathology. Inasmuch as a structural approach reflects the natural organization of psychopathology, it has great potential to facilitate comprehensive organization of information on the correlates of psychopathology, providing evidence for the convergent and discriminant validity of an empirical approach to classification. Here, we highlight several themes that emerge from this burgeoning literature. (PsycINFO Database Record, ((c) 2016 APA, all rights reserved).)

Two recent meta-analyses have suggested that boldness, as assessed by the Psychopathic Personality Inventory (PPI) Fearless Dominance dimension, is largely unrelated to total or factor scores on the Psychopathy Checklist-Revised (PCL-R), raising questions concerning the relevance of largely adaptive features to psychopathy. Nevertheless, given that the PCL was developed and validated among prisoners, it may place less emphasis than do other psychopathy measures on adaptive traits, such as fearlessness, social poise, and emotional resilience. We conducted a meta-analysis (N = 10,693) of the relations between (a) boldness, as assessed by the PPI and its derivatives or measures of the triarchic model of psychopathy, and (b) non-PCL-based psychopathy measures across 32 samples. The average weighted correlation between boldness and psychopathy was medium to large (r = .39) and considerably higher than reported in prior meta-analyses; when analyses were restricted to well-validated psychopathy measures, the correlation rose to r = .44. We did not find support for the position that boldness is significantly less related to psychopathy than are the other 2 dimensions of the triarchic model. Our findings strongly suggest that boldness is relevant to at least some well-validated measures of psychopathy, and raise further questions regarding the boundaries of this condition. (PsycINFO Database Record, ((c) 2016 APA, all rights reserved).)

The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) includes an alternative model of personality disorders (PDs) in Section III, consisting in part of a pathological personality trait model. To date, the 220-item Personality Inventory for DSM-5 (PID-5; Krueger, Derringer, Markon, Watson, & Skodol, 2012) is the only extant self-report instrument explicitly developed to measure this pathological trait model. The present study used item response theory-based analyses in a large sample (n = 1,417) to investigate whether a reduced set of 100 items could be identified from the PID-5 that could measure the 25 traits and 5 domains. This reduced set of PID-5 items was then tested in a community sample of adults currently receiving psychological treatment (n = 109). Across a wide range of criterion variables including NEO PI-R domains and facets, DSM-5 Section II PD scores, and externalizing and internalizing outcomes, the correlational profiles of the original and reduced versions of the PID-5 were nearly identical (rICC = .995). These results provide strong support for the hypothesis that an abbreviated set of PID-5 items can be used to reliably, validly, and efficiently assess these personality disorder traits. The ability to assess the DSM-5 Section III traits using only 100 items has important implications in that it suggests these traits could still be measured in settings in which assessment-related resources (e.g., time, compensation) are limited., ((c) 2015 APA, all rights reserved).)

The externalizing spectrum encompasses a range of maladaptive behaviors, including substance-use problems, impulsivity, and aggression. Although previous literature has linked externalizing behaviors with prefrontal and amygdala abnormalities, recent studies suggest insula functionality is implicated. This study investigated the relation between insula functional coherence and externalizing in a large community sample (N = 244). Participants underwent a resting functional MRI scan. Three nonartifactual intrinsic connectivity networks (ICNs) substantially involving the insula were identified after completing independent components analysis. Three externalizing domains-general disinhibition, substance abuse, and callous aggression-were measured with the Externalizing Spectrum Inventory. Regression models tested whether within-network coherence for the 3 insula ICNs was related to each externalizing domain. Posterior insula coherence was positively associated with general disinhibition and substance abuse. Anterior insula/ventral striatum/anterior cingulate network coherence was negatively associated with general disinhibition. Insula coherence did not relate to the callous aggression domain. Follow-up analyses indicated specificity for insula ICNs in their relation to general disinhibition and substance abuse as compared with other frontal and limbic ICNs. This study found insula network coherence was significantly associated with externalizing behaviors in community participants. Frontal and limbic ICNs containing less insular cortex were not related to externalizing. Thus, the neural synchrony of insula networks may be central for understanding externalizing psychopathology., ((c) 2015 APA, all rights reserved).)

Over the past two decades, evidence has suggested that personality disorders (PDs) can be conceptualized as extreme, maladaptive variants of general personality dimensions, rather than discrete categorical entities. Recognizing this literature, the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) alternative PD model in Section III defines PDs partially through 25 maladaptive traits that fall within 5 domains. Empirical evidence based on the self-report measure of these traits, the Personality Inventory for DSM-5 (PID-5), suggests that these five higher-order domains share a structure and correlate in meaningful ways with the five-factor model (FFM) of general personality. In the current study, item response theory was used to compare the DSM-5 alternative PD model traits to those from a normative FFM inventory (the International Personality Item Pool-NEO [IPIP-NEO]) in terms of their measurement precision along the latent dimensions. Within a combined sample of 3,517 participants, results strongly supported the conclusion that the DSM-5 alternative PD model traits and IPIP-NEO traits are complimentary measures of 4 of the 5 FFM domains (with perhaps the exception of openness to experience vs. psychoticism). Importantly, the two measures yield largely overlapping information curves on these four domains. Differences that did emerge suggested that the PID-5 scales generally have higher thresholds and provide more information at the upper levels, whereas the IPIP-NEO generally had an advantage at the lower levels. These results support the general conceptualization that 4 domains of the DSM-5 alternative PD model traits are maladaptive, extreme versions of the FFM. (PsycINFO Database Record, ((c) 2015 APA, all rights reserved).)

Conscientiousness is an important trait for understanding healthy aging. The present article addresses how behavioral and molecular genetics methodologies can aid in furthering explicating the link between conscientiousness and aspects of health and well-being in later life. We review the etiology of conscientiousness documented by both quantitative and molecular genetics methods. We also discuss the ways behavior genetics can be used to continue to help refine the concept of conscientiousness and to help identify points of etiological overlap between conscientiousness and healthy aging outcomes. Phenotypic research has established nontrivial associations between conscientiousness and important outcomes, but behavior genetic methods can determine what the causal (genetic and environmental) mechanisms are behind these relationships. An empirical example of one of these techniques is provided using twin data from the Midlife in the United States (MIDUS) study. We demonstrate that conscientiousness moderates genetic and environmental influences on problem alcohol use, such that greater levels of conscientiousness buffer against the random effects of the environment. Finally, suggestions for future work in this area are discussed., ((PsycINFO Database Record (c) 2014 APA, all rights reserved).)

Conscientiousness is a personality construct that is a core determinant of health, positive aging, and human capital. A large body of work has contributed to our understanding of this important aspect of personality, but there are multiple conceptual and methodological issues that complicate our understanding of conscientiousness. Toward this end, we review (a) the conceptual standing of conscientiousness as a personality trait, (b) past research focusing on the underlying dimensions of conscientiousness, (c) the nomological network in which conscientiousness is embedded, and (d) the diverse methods that have been used to assess dimensions of conscientiousness. We conclude with recommendations for improving our understanding of the construct of conscientiousness, methods of assessment, and etiological underpinnings of conscientiousness. We believe this article can serve an important role in the larger goal of better understanding conscientiousness and its core role in the health of our society., ((PsycINFO Database Record (c) 2014 APA, all rights reserved).)

The Externalizing Spectrum Inventory (ESI; Krueger, Markon, Patrick, Benning, & Kramer, 2007) provides for integrated, hierarchical assessment of a broad range of problem behaviors and traits in the domain of deficient impulse control. The ESI assesses traits and problems in this domain through 23 lower order facet scales organized around 3 higher order dimensions, reflecting general disinhibition, callous aggression, and substance abuse. The full-form ESI contains 415 items, and a shorter form would be useful for questionnaire screening studies or multimethod research protocols. In the current work, we employed item response theory and structural modeling methods to create a 160-item brief form (ESI-BF) that provides for efficient measurement of the ESI's lower order facets and quantification of its higher order dimensions either as scale-based factors or as item-based composites. The ESI-BF is recommended for use in research on psychological or neurobiological correlates of problems such as risk-taking, delinquency, aggression, and substance abuse, and studies of general and specific mechanisms that give rise to problems of these kinds., ((c) 2013 APA, all rights reserved.)

Previous research using confirmatory factor analysis to model psychopathology comorbidity has supported the hypothesis of a broad general factor (i.e., a "bifactor"; Holzinger & Swineford, 1937) of psychopathology in children, adolescents, and adults, with more specific higher order internalizing and externalizing factors reflecting additional shared variance in symptoms (Lahey et al., 2012; Lahey, van Hulle, Singh, Waldman, & Rathouz, 2011). The psychological nature of this general factor has not been explored, however. The current study tested a prediction, derived from the spectrum hypothesis of personality and psychopathology, that variance in a general psychopathology bifactor overlaps substantially-at both phenotypic and genetic levels-with the dispositional trait of negative emotionality. Data on psychopathology symptoms and dispositional traits were collected from both parents and youth in a representative sample of 1,569 twin pairs (ages 9-17 years) from Tennessee. Predictions based on the spectrum hypothesis were supported, with variance in negative emotionality and the general factor overlapping substantially at both phenotypic and etiologic levels. Furthermore, stronger correlations were found between negative emotionality and the general psychopathology factor than among other dispositions and other psychopathology factors., (PsycINFO Database Record (c) 2013 APA, all rights reserved.)

Preliminary explorations of the trait model for personality disorders provided in Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) Section III suggest that the factor structure of proposed traits includes 5 higher order factors that resemble other dimensional trait models of personality. These prior investigations have been based on self-reported data obtained from personality questionnaires, as has much of the research literature from which such trait models have evolved. However, the DSM-5 itself involves judgments made by clinicians about their patients. Thus, it is important to examine whether this factor structure identified in recent studies can also be found in clinician rating data. This study examined the hierarchical structure of the 25 proposed DSM-5 traits in patient ratings provided by a sample of 337 mental health professionals. Exploratory factor analysis revealed a hierarchical structure that resembled previously reported trait structures. As with a prior investigation by Wright et al. (2012), the various solutions estimated in the hierarchy of the DSM-5 traits resembled existing models of common mental disorders, temperament, and personality pathology., (PsycINFO Database Record (c) 2013 APA, all rights reserved.)

At the outset of the golden era of cartography, fifteenth-century Europeans drew the earth as they wished it to be. Some maps were so fanciful as to show four continents like petals centered around Jerusalem. It would take a century of adventurers, navigators, mathematicians, and artists to align the map with the actual places where the rocks met the seas. In this effort, there were many lost voyages and sailors. Fictitious islands and isthmuses arose and fell. Yet even in their nascent form, the maps suggested important destinations and passages. They did not have to be perfect to be useful. Doubtless, there were times in the Age of Discovery when navigators were forced to choose between an old and dear map that had not been fully discredited, and a new and unknown picture of the world that remained yet unproved. How then did they decide which to trust? This special section of the Journal of Abnormal Psychology is designed to explore this question with three review papers and a commentary all composed by leading psychopathologists, the navigators and cartographers of our discipline. In the end, the DSM-5 became something more akin to a DSM-IV-TR-revised, as opposed to enshrining the new diagnostic paradigm the task force chairs originally sought. While there were several innovations, such as a chapter structure that better reflected data on the empirical organization of psychopathology, the old map was largely retained with a few of the sea monsters relocated., (PsycINFO Database Record (c) 2013 APA, all rights reserved.)

There has been substantial recent interest in the development of a quantitative, empirically based model of psychopathology. However, the majority of pertinent research has focused on analyses of diagnoses, as described in current official nosologies. This is a significant limitation because existing diagnostic categories are often heterogeneous. In the current research, we aimed to redress this limitation of the existing literature, and to directly compare the fit of categorical, continuous, and hybrid (i.e., combined categorical and continuous) models of syndromes derived from indicators more fine-grained than diagnoses. We analyzed data from a large representative epidemiologic sample (the 2007 Australian National Survey of Mental Health and Wellbeing; N = 8,841). Continuous models provided the best fit for each syndrome we observed (distress, obsessive compulsivity, fear, alcohol problems, drug problems, and psychotic experiences). In addition, the best fitting higher-order model of these syndromes grouped them into three broad spectra: Internalizing, Externalizing, and Psychotic Experiences. We discuss these results in terms of future efforts to refine emerging empirically based, dimensional-spectrum model of psychopathology, and to use the model to frame psychopathology research more broadly., (2013 APA, all rights reserved)

Multivariate comorbidity research indicates mood and anxiety (internalizing) disorders share one or more common liabilities, but categorical, dimensional, and hybrid accounts of these liabilities have not been directly compared. We modeled seven internalizing disorders in a nationally representative sample of 43,093 individuals via confirmatory factor, latent class, exploratory factor mixture, and exploratory structural equation modeling analyses. A two-dimensional (distress-fear) liability structure fit best and replicated across gender, assessment waves, and lifetime/12-month diagnoses. These liabilities, not disorder-specific variation, predicted future internalizing pathology, suicide attempts, angina, and ulcer., (2013 APA, all rights reserved)

A multidimensional trait system has been proposed for representing personality disorder (PD) features in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) to address problematic classification issues such as comorbidity. In this model, which may also assist in providing scaffolding for the underlying structure of major forms of psychopathology more generally, 25 primary traits are organized by 5 higher order dimensions: Negative Affect, Detachment, Antagonism, Disinhibition, and Psychoticism. We examined (a) the generalizability of the structure proposed for DSM-5 PD traits, and (b) the potential for an integrative hierarchy based upon DSM-5 PD traits to represent the dimensions scaffolding psychopathology more generally. A large sample of student participants (N = 2,461) completed the Personality Inventory for DSM-5, which operationalizes the DSM-5 traits. Exploratory factor analysis replicated the initially reported 5-factor structure, as indicated by high factor congruencies. The 2-, 3-, and 4-factor solutions estimated in the hierarchy of the DSM-5 traits bear close resemblance to existing models of common mental disorders, temperament, and personality pathology. Thus, beyond the description of individual differences in personality disorder, the trait dimensions might provide a framework for the metastructure of psychopathology in the DSM-5 and the integration of a number of ostensibly competing models of personality trait covariation., ((PsycINFO Database Record (c) 2012 APA, all rights reserved).)

Two issues pertinent to the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) proposal for personality pathology, the recovery of DSM-IV personality disorders (PDs) by proposed DSM-5 traits and the validity of the proposed DSM-5 hybrid model, which incorporates both personality pathology symptoms and maladaptive traits, were evaluated in a large undergraduate sample (N = 808). Proposed DSM-5 traits as assessed with the Personality Inventory for DSM-5 explained a substantial proportion of variance in DSM-IV PDs as assessed with the Personality Diagnostic Questionnaire-4+, and trait indicators of the 6 proposed DSM-5 PDs were mostly specific to those disorders with some exceptions. Regression analyses support the DSM-5 hybrid model in that pathological traits, and an indicator of general personality pathology severity provided incremental information about PDs. Findings are discussed in the context of broader issues around the proposed DSM-5 model of personality disorders.

Epidemiological studies of categorical mental disorders consistently report that gender differences exist in many disorder prevalence rates and that disorders are often comorbid. Can a dimensional multivariate liability model be developed to clarify how gender impacts diverse, comorbid mental disorders? We pursued this possibility in the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; N = 43,093). Gender differences in prevalence were systematic such that women showed higher rates of mood and anxiety disorders, and men showed higher rates of antisocial personality and substance use disorders. We next investigated patterns of disorder comorbidity and found that a dimensional internalizing-externalizing liability model fit the data well, where internalizing is characterized by mood and anxiety disorders, and externalizing is characterized by antisocial personality and substance use disorders. This model was gender invariant, indicating that observed gender differences in prevalence rates originate from women and men's different average standings on latent internalizing and externalizing liability dimensions. As hypothesized, women showed a higher mean level of internalizing, while men showed a higher mean level of externalizing. We discuss implications of these findings for understanding gender differences in psychopathology and for classification and intervention., (PsycINFO Database Record (c) 2012 APA, all rights reserved.)

Structural psychopathology research has identified two broad factors--internalizing and externalizing--that account for comorbidity among many common mental disorders. Evaluating the utility of these factors for nosology, research, and treatment entails expanding beyond a cross-sectional understanding to how these factors evolve over time. We tested factorial invariance of internalizing in three age cohort groups--35 years and under (n = 1,729), 36-50 years (n = 2,719), and over 50 years (n = 2,601)--as well as the long-term stability of internalizing within individuals. Internalizing showed a notable degree of invariance between cohorts and within cohorts over time; long-term internalizing stability was equivalently moderate-to-high in each cohort.

Marital distress is linked to many types of mental disorders; however, no study to date has examined this link in the context of empirically based hierarchical models of psychopathology. There may be general associations between low levels of marital quality and broad groups of comorbid psychiatric disorders as well as links between marital adjustment and specific types of mental disorders. The authors examined this issue in a sample (N = 929 couples) of currently married couples from the Minnesota Twin Family Study who completed self-report measures of relationship adjustment and were also assessed for common mental disorders. Structural equation modeling indicated that (a) higher standing on latent factors of internalizing (INT) and externalizing (EXT) psychopathology was associated with lower standing on latent factors of general marital adjustment for both husbands and wives, (b) the magnitude of these effects was similar across husbands and wives, and (c) there were no residual associations between any specific mental disorder and overall relationship adjustment after controlling for the INT and EXT factors. These findings point to the utility of hierarchical models in understanding psychopathology and its correlates. Much of the link between mental disorder and marital distress operated at the level of broad spectrums of psychopathological variation (i.e., higher levels of marital distress were associated with disorder comorbidity), suggesting that the temperamental core of these spectrums contributes not only to symptoms of mental illness but to the behaviors that lead to impaired marital quality in adulthood.

During the transition to adulthood individuals typically settle into adult roles in love and work. This transition also involves significant changes in personality traits that are generally in the direction of greater maturity and increased stability. Competing hypotheses have been offered to account for these personality changes: The intrinsic maturation hypothesis suggests that change trajectories are endogenous, whereas the life-course hypothesis suggests that these changes occur because of transactions with the social environment. This study investigated the patterns and origins of personality trait changes from ages 17 to 29 using 3 waves of Multidimensional Personality Questionnaire data provided by twins. Results suggest that (a) trait changes were more profound in the first relative to the second half of the transition to adulthood; (b) traits tend to become more stable during the second half of this transition, with all the traits yielding retest correlations between .74 and .78; (c) Negative Affectivity declined over time, and Constraint increased over time; minimal change was observed on agentic or communal aspects of Positive Emotionality; and (d) both genetic and nonshared environmental factors accounted for personality changes. Overall, these genetically informed results support a life-course perspective on personality development during the transition to adulthood., ((c) 2011 APA, all rights reserved)

This study used structural equation modeling to examine the genetic and environmental architecture of latent dimensions of internalizing and externalizing psychiatric comorbidity and explored structural associations between posttraumatic stress disorder (PTSD) and these dimensions. Data were drawn from the Vietnam Era Twin Registry and included lifetime diagnoses for PTSD and a range of other psychiatric disorders for 3,372 male-male twin pairs. Examination of the phenotypic structure of these disorders revealed that PTSD cross-loaded on both Internalizing and Externalizing common factors. Biometric analyses suggested largely distinct genetic risk factors for the latent internalizing and externalizing comorbidity dimensions, with the total heritability of the Externalizing factor (69%) estimated to be significantly stronger than that for Internalizing (41%). Nonshared environment explained the majority of the remaining variance in the Internalizing (58%) and Externalizing (20%) factors. Shared genetic variance across the 2 dimensions explained 67% of their phenotypic correlation (r = .52). These findings have implications for conceptualizations of the etiology of PTSD and its location in an empirically based nosology.

Existing structural models of psychopathology need to be expanded to include additional diagnostic constructs beyond mood, anxiety, substance use, and antisocial behavior disorders. The goal of this study was to locate eating disorders within a hierarchical structural model of psychopathology that is anchored by broad Internalizing and Externalizing factors. Participants were female adolescent twins (N = 1,434) from the Minnesota Twin Family Study. The authors compared the fit of 4 models in which eating disorders (a) defined their own diagnostic class, (b) represented a subclass within Internalizing, (c) formed a subclass within Externalizing, and (d) were allowed to cross-load on both Internalizing and Externalizing. In the best fitting model, eating disorders formed a subfactor within Internalizing. These findings underscore the value of developing more comprehensive empirically based models of psychopathology to increase researchers' understanding of diverse mental disorders.

Research to date has revealed divergent relations across factors of psychopathy measures with criteria of internalizing (INT; anxiety, depression) and externalizing (EXT; antisocial behavior, substance use). However, failure to account for method variance and suppressor effects has obscured the consistency of these findings across distinct measures of psychopathy. Using a large correctional sample, the current study employed a multimethod approach to psychopathy assessment (self-report, interview and file review) to explore convergent and discriminant relations between factors of psychopathy measures and latent criteria of INT and EXT derived from the Personality Assessment Inventory (Morey, 2007). Consistent with prediction, scores on the affective-interpersonal factor of psychopathy were negatively associated with INT and negligibly related to EXT, whereas scores on the social deviance factor exhibited positive associations (moderate and large, respectively) with both INT and EXT. Notably, associations were highly comparable across the psychopathy measures when accounting for method variance (in the case of EXT) and when assessing for suppressor effects (in the case of INT). Findings are discussed in terms of implications for clinical assessment and evaluation of the validity of interpretations drawn from scores on psychopathy measures., (PsycINFO Database Record (c) 2010 APA, all rights reserved.)

The Dyadic Adjustment Scale (DAS; G. B. Spanier, 1976) is the most widely used inventory of relationship satisfaction in the social sciences, yet the question of whether it is measuring the same concept in men and women has never been addressed. In the current study, the authors examined the factor structure of the DAS in a sample of 900 currently married couples who participated in the Minnesota Twin Family Study. Confirmatory factor analysis was applied to a second-order factor solution with Spanier's four factors (Dyadic Consensus, Dyadic Satisfaction, Dyadic Cohesion, Affectional Expression) loading on one higher order factor (Relationship Adjustment), to test for measurement invariance across gender. The second-order solution was relatively invariant across gender, even when taking into account the nonindependent nature of the data. This suggests that the best conceptualization of the DAS is one of a gender-invariant measure of marital adjustment with four distinct subfactors and that differences between men and women on any of these constructs can be interpreted by both clinicians and researchers as true mean differences rather than measurement bias.

Poor marital quality is a reliable correlate of internalizing problems, but the etiology of this association has yet to be examined. Marital distress may exert its influence by acting as a stressor that enables the expression of latent genetic risk for internalizing psychopathology. The authors examined this question using 379 twin pairs, assessed for marital quality, symptoms of major depression (MD), generalized anxiety disorder (GAD), panic attacks (PA), and neuroticism (N). A phenotypic factor analysis confirmed that one factor best accounted for the variance shared between MD, GAD, PA, and N. After accounting for genetic influences on the general Internalizing factor, there were residual genetic influences on N but no specific genetic influences on any other individual internalizing syndrome. The authors found overlap between the genetic influences on marital quality and the internalizing spectrum. Finally, biometrical moderation models revealed that genetic effects on the Internalizing factor increased as the marital quality deteriorated (marital quality high: h(2) = 0.05; marital quality low: h(2) = 0.29), suggesting that those with a genetic predisposition to internalizing syndromes may be more likely to express this predisposition in the context of a dissatisfying marriage., ((PsycINFO Database Record (c) 2008 APA, all rights reserved).)