Characterizing Stress Processes by Linking Big Five Personality States, Traits, and Day-to-Day Stressors.

The accumulation of day-to-day stressors can impact mental and physical health. How people respond to stressful events is a key mechanism responsible for the effects of stress, and individual differences in stress responses can either perpetuate or prevent negative consequences. Most research on daily stress processes has focused on affective responses to stressors, but stress responses can involve more than just affect (e.g., behavior, cognitions). Additionally, most research has studied the role of neuroticism in shaping those responses, but many other individual differences are associated with stress. In this study, we more broadly characterized daily stress processes by expanding the nomological networks of stress responses to include Big Five personality states. We also linked those stress responses to all Big Five traits, as well as individual differences in stress variety, severity, and controllability. We studied a sample of participants (N = 1,090) who reported on stressful events, their appraisal of events in terms of severity and controllability, and their Big Five personality states daily for 8-10 days (N = 8,870 observations). Multi-level structural equation models were used to separate how characteristics of the perceived stressful situation and characteristics of the person play into daily stress processes. Results showed that (1) all Big Five personality states shift in response to perceived stress, (2) all Big Five personality traits relate to average levels of perceived stress variety, severity, and controllability, (3) individual differences in personality and average perceived stress variety and perceived severity relate to the strength of personality state responses to daily stress, albeit in a more limited fashion. Our results point to new pathways by which stressors affect people in everyday life and begin to clarify processes that may explain individual differences in risk or resilience to the harmful effects of stress.

Comparing the Diagnostic and Statistical Manual of Mental Disorders, fifth edition, personality disorder models scored from the same interview.

The alternative model of personality disorders (AMPD) traits were designed to maintain continuity with the Section II personality disorder (PD) diagnoses by retaining the same clinical information. Whether the AMPD traits achieve this is not well established. Prior work testing incremental validity of AMPD traits and Section II diagnoses is limited by the fact each model was measured by a different instrument or rater, making it unclear whether discrepancies are due to the constructs or methods. Here, we compare the incremental validity of AMPD traits versus Section II PDs assessed by the same instrument and rater. Participants (N = 311, 50% received past-year mental health treatment) completed a clinical interview, baseline self-reports, and 14-day ambulatory assessment protocol. Interviewers rated AMPD domains, facets, and Section II criteria from the same interview (Structured Interview for DSM-IV Personality). We used hierarchical regression models to evaluate the variance predicted in 17 clinically relevant cross-sectional and momentary variables by the AMPD traits and Section II PDs. Incremental R² showed that Section II PDs account for little variance in outcomes over and above the AMPD domains/facets, whereas the AMPD facets were generally more predictive of outcomes than the Section II PDs. Results add novel evidence that dimensional PD traits-not a particular assessment method-are equivalent or superior to PD categories for predicting social, emotional, and behavioral functioning. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Cross-situational variability in childhood personality states.

Personality variability is an important individual difference construct that is the focus of major psychological theories and relates to socioemotional functioning. Although cross-situational personality variability has been studied extensively in adult populations, little is known about variability in children's personality. In this study, we aimed to address this gap in knowledge by evaluating whether cross-situational variability is a potentially meaningful individual difference in youth. We used a "thin slice" approach in which research assistants viewed videos of 324 children (Mage = 9.92) completing 15 standardized tasks and rated youth's Big Five personality states. Cross-situational variability in each personality state was estimated by calculating within-person standard deviations across tasks. Results showed that (a) there is substantial variability in children's personality states; (b) children who are variable in one personality domain tend to be variable in other domains; and (c) more variable children are described by their parents as being less competent, less agreeable, less conscientious, and more neurotic. However, associations with parent-rated external criterion were generally small in magnitude, and key psychometric properties of the thin slice personality variability index are not well-established. Our study adds tentative but promising evidence that individual differences in cross-situational personality variability are not only present in childhood but may be consequential. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Principles and procedures for revising the hierarchical taxonomy of psychopathology.

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).

The development of personality-From metatraits to facets-Across adolescence and into adulthood in a sample of Mexican-origin youth.

The time between adolescence and adulthood is a transformative period of development. During these years, youth are exploring work, relationships, and worldviews while gaining the capacities needed to take on adult roles. These social and psychological processes are reflected in how personality develops across this period. Most youth personality development research has focused on the Big Five domains, ignoring the hierarchical structure of personality and missing broader, higher order processes and more specific, lower order processes. Toward a more comprehensive account, this study examines how personality develops from adolescence into the early years of adulthood at the metatrait (stability, plasticity), domain (Big Five), and facet levels. Data come from a longitudinal study of Mexican-origin youth (N = 645) with few socioeconomic resources who were assessed 5 times from Ages 14 to 23. We used latent growth curve models to investigate mean-level change, rank-order consistency, and the maintenance of trajectories for self-reported personality metatraits, domains, and facets. We found distinct developmental processes unfolding at each level of the hierarchy, including (a) mean-level changes in the metatraits and domains indicating increases in exploratory tendencies (i.e., plasticity) and maturity (i.e., increases in agreeableness and conscientiousness, decreases in neuroticism), and divergent change patterns between facets within each domain indicating nuanced maturational processes; (b) comparable levels of rank-order consistency for metatraits, domains, and facets; and (c) evidence that deviations from youth's developmental trajectories did not persist over time. Our findings offer insights into personality development that would be impossible to glean from the domain-level alone and adds needed sociocultural diversity to the literature. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Associations of state and trait empathy with daily alcohol use.

BACKGROUND: A growing literature documents associations between lower trait empathy and heavier alcohol use and more alcohol problems in adolescent and young adult samples. Prior work linking empathy and alcohol use/problems in these populations has thus far focused on trait rather than state empathy, and researchers often do not differentiate between cognitive and affective empathy. Further, no prior studies have examined associations between daily fluctuations in state empathy and alcohol use. The goal of the current study is to advance knowledge about the associations between state (vs. trait) and cognitive (vs. affective) empathy and alcohol use. METHODS: Adult alcohol drinkers (n = 492; Mage = 22.89, SD = 5.53; 53.70% female) participated in ecological momentary assessment studies for 7 to 10 days (day n = 4683). Multilevel hurdle models were used to investigate associations between day-level state empathy and daily alcohol use at the within-person level, and associations between individual differences in trait empathy and alcohol use across days at the between-person level. RESULTS: Higher day-level state affective empathy was not associated with the likelihood of drinking on a particular day, but it was significantly associated with a greater number of drinks consumed on alcohol-consuming days, with the latter associations remaining after controlling for day-level positive affect (PA) and negative affect (NA). No associations were found for day-level state cognitive empathy, or trait affective or cognitive empathy. CONCLUSIONS: On drinking days, when individuals reported more affective empathy than is typical for them, they were more likely to consume a greater number of alcoholic drinks, results that remained when controlling for levels of PA and NA. Daily shifts in affective empathy may be important to consider in efforts to understand alcohol use.

On definition and description in psychopathology: Reply to Widiger et al. (2023).

We reply to Wright et al.'s (2023) commentary and suggestion that personality trait models would be the preferred way to reconfigure the personality disorders (PDs). Though we agree that personality trait models are powerful descriptive tools, we highlight that they lack definitional or explanatory power, and that is why they have not been able to define or distinguish what PDs are (Hopwood, 2018; Mõttus et al., 2020; Pincus, 2011). Scientific models must do more than describe; they must define. This is why we propose a specific interpersonal model, contemporary integrative interpersonal theory, and why a generic interpersonal model has been formally adopted in psychiatric classification (e.g., International Classification of Diseases; 11th ed.; World Health Organization, 2019) but traits remain optional adjunct descriptors. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Personality (Dys)Function and General Instability.

Humans adapt to a dynamic environment while maintaining psychological equilibrium. Systems theories of personality hold that generalized processes control stability by regulating how strongly a person reacts to various situations. Research shows there are higher-order traits of general personality function (Stability) and dysfunction (general personality pathology; GPP), but whether or not they capture individual differences in reactivity is largely theoretical. We tested this hypothesis by examining how general personality functioning manifests in everyday life in two samples (Ns=205; 342 participants and 24,920; 17,761 observations) that completed an ambulatory assessment protocol. Consistent with systems theories, we found (1) there is a general factor reflecting reactivity across major domains of functioning, and (2) reactivity is strongly associated with Stability and GPP. Results provide insight into how people fundamentally adapt (or not) to their environments, and lays the foundation for more practical, empirical models of human functioning.

Structure of Pathological Personality Traits Through the Lens of the CAT-PD Model.

Personality pathology is increasingly conceptualized within hierarchical, dimensional trait models. The Comprehensive Assessment of Traits Relevant to Personality Disorders (CAT-PD) is a pathological-trait measure with potential to improve on currently prevailing instruments because it has wider content coverage; however, its domain-level structure, which is of scientific and clinical interest, is not established. In this study, we investigated the structure and construct validity of the CAT-PD's domain level to facilitate wider use of the measure. We estimated five- and six-factor models with exploratory factor analysis in a pooled sample of eight independent subsamples (N = 3,987) and found that both models fit the data well; each had interpretable factors that were invariant across gender, sample type, and Black/White racial groups; and the factors had good convergent validity with other measures of maladaptive traits, Big Five personality, and interpersonal problems. Our results support the validity of the CAT-PD for assessing multiple levels of the pathological trait hierarchy.

Psychometric evaluation of a Visual Interpersonal Analog Scale.

Interpersonal theory organizes social behavior along dominant (vs. submissive) and warm (vs. cold) dimensions. There is a growing interest in assessing these behaviors in naturalistic settings to maximize ecological validity and to study dynamic social processes. Studies that have assessed interpersonal behavior in daily life have primarily relied on behavioral checklists. Although checklists have advantages, they are discrepant with techniques used to capture constructs typically assessed alongside warmth and dominance, such as affect, which typically rely on adjective descriptors. Further, these checklists are distinct from the methodologies used at the dispositional level, such as personality inventories, which rarely rely on behavioral checklists. The present study evaluates the psychometric performance of interpersonal adjectives presented on a visual analog scale in five different samples. Validity of the Visual Interpersonal Analog scale (VIAS) approach to momentary assessment was evaluated by comparing its performance with an interpersonal behavior checklist and by examining associations among the VIAS Warmth and Dominance scales and other momentary and dispositional constructs. Results were generally consistent with an existing interpersonal behavior checklist at the within-person level but diverged somewhat at the dispositional level. Across the five samples, the VIAS generally performed as hypothesized at both the within- and between-person levels. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Meta-analysis of structural evidence for the Hierarchical Taxonomy of Psychopathology (HiTOP) model.

BACKGROUND: The Hierarchical Taxonomy of Psychopathology (HiTOP) is a classification system that seeks to organize psychopathology using quantitative evidence - yet the current model was established by narrative review. This meta-analysis provides a quantitative synthesis of literature on transdiagnostic dimensions of psychopathology to evaluate the validity of the HiTOP framework. METHODS: Published studies estimating factor-analytic models from diagnostic and statistical manual of mental disorders (DSM) diagnoses were screened. A total of 120,596 participants from 35 studies assessing 23 DSM diagnoses were included in the meta-analytic models. Data were pooled into a meta-analytic correlation matrix using a random effects model. Exploratory factor analyses were conducted using the pooled correlation matrix. A hierarchical structure was estimated by extracting one to five factors representing levels of the HiTOP framework, then calculating congruence coefficients between factors at sequential levels. RESULTS: Five transdiagnostic dimensions fit the DSM diagnoses well (comparative fit index = 0.92, root mean square error of approximation = 0.07, and standardized root-mean-square residual = 0.03). Most diagnoses had factor loadings >|0.30| on the expected factors, and congruence coefficients between factors indicated a hierarchical structure consistent with the HiTOP framework. CONCLUSIONS: A model closely resembling the HiTOP framework fit the data well and placement of DSM diagnoses within transdiagnostic dimensions were largely confirmed, supporting it as valid structure for conceptualizing and organizing psychopathology. Results also suggest transdiagnostic research should (1) use traits, narrow symptoms, and dimensional measures of psychopathology instead of DSM diagnoses, (2) assess a broader array of constructs, and (3) increase focus on understudied pathologies.

The personality meta-trait of stability and carotid artery atherosclerosis.

BACKGROUND: Several personality traits increase the risk for atherosclerotic cardiovascular disease. Because many of these traits are correlated, their associations with disease risk could reflect shared variance, rather than unique contributions of each trait. We examined a higher-order personality trait of Stability as related to preclinical atherosclerosis and tested whether any such relationship might be explained by correlated variation in cardiometabolic risk factors. METHOD: Among 798 community volunteers, lower-order traits of Neuroticism, Agreeableness, and Conscientiousness were modeled as latent variables (from self- and informant ratings) and used to estimate the second-order factor, Stability. Cardiometabolic risk was similarly modeled from indicators of glycemic control, blood pressure, adiposity, and lipids. Carotid artery atherosclerosis was measured as intima-media thickness (IMT) by duplex ultrasonography. RESULT: A structural equation model incorporating direct and indirect effects showed lower Stability associated with greater IMT, and this relationship was accounted for by the indirect pathway via cardiometabolic risk. Secondary analyses showed that: (1) Neuroticism, Agreeableness, and Conscientiousness were unrelated to IMT independent of Stability; and (2) Stability predicted variation in IMT when estimated from informant-, but not self-rated, traits. CONCLUSION: Personality traits may associate with atherosclerotic burden through their shared, rather than unique, variance, as reflected in Stability.

Meta-analytic tests of measurement invariance of internalizing and externalizing psychopathology across common methodological characteristics.

Factor analytic models of common mental disorders have been hypothesized to be affected by various methodological features, which could undermine the assumption that Internalizing and Externalizing reflect part of the natural structure of psychopathology. In this study, we addressed this issue by testing whether and how methodological features affect the empirical structure of psychopathology using meta-analytic measurement invariance models of Internalizing and Externalizing across multiple sample characteristics. Published studies estimating factor analytic models from Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnoses were screened. A total of 47 samples (N = 118,966) were included in the meta-analysis. Data were pooled into meta-analytic correlation matrices using random effects models that accounted for sampling variability. Multigroup confirmatory factor analytic models of Internalizing and Externalizing were fit to the pooled matrix of DSM diagnoses to test invariance of the structure, factor loadings, and factor covariance. Results supported partial or full invariance across (a) samples selected versus not selected for psychopathology, (b) diagnoses defined by binary DSM thresholds versus dimensional symptoms counts, and (c) diagnoses based on lifetime versus current symptoms. Tentative analyses indicated noninvariance across samples that made diagnoses using hierarchical exclusion rules versus those that did not. Our study suggests that the Internalizing and Externalizing structure is largely robust to common methodological characteristics thought to impact factor analytic models. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Personality disorders are dead; long live the interpersonal disorders: Comment on Widiger and Hines (2022).

Widiger and Hines raise a number of significant concerns with the alternative model of personality disorders (AMPD). This places the major class of psychiatric difficulties represented by the personality disorders in a precarious position because the model used in previous editions of the Diagnostic and Statistical Manual of Mental Disorders and currently reprinted in Section II is moribund if not dead, and with the AMPD's significant problems, their future is unclear. Although we agree that Widiger and Hines' criticisms have merit, they are not the whole picture. We review additional relevant research that supports the contention that what differentiates personality disorders from other psychopathology is the self and interpersonal dysfunction, as Criterion A of the AMPD currently states. We emphasize the importance of drawing a distinction between the conceptual model and its operationalization. We argue that paradoxically, to save personality disorders, we need to do away with them and replace them with the "interpersonal disorders." There is strong theory, empirical research, and ethical arguments in favor of this conceptual reframing. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Transdiagnostic Associations With Interpersonal and Affective Variability in Borderline Personality Pathology.

Emotional and behavioral variability are unifying characteristics of borderline personality disorder (BPD). Ambulatory assessment (AA) has been used to quantify this variability in terms of the categorical BPD diagnosis, but evidence suggests that BPD instead reflects general personality pathology. This study aimed to clarify the conceptualization of BPD by mapping indices of variability in affect, interpersonal behavior, and perceptions of others onto general and specific dimensions of personality pathology. A sample of participants who met diagnostic criteria for BPD (n = 129) and healthy controls (n = 47) reported on their daily interactions during a 21-day AA protocol. Multilevel SEM was used to examine associations between shared and specific variance in maladaptive traits with dynamic patterns of functioning. The authors found that variability is an indicator of shared trait variance and Negative Affectivity, not any other specific traits, reinforcing the idea that BPD is best understood as general personality pathology.

Antagonism in Daily Life: An Exploratory Ecological Momentary Assessment Study.

Interpersonal Antagonism is one of the major domains of maladaptive personality. Structural-based investigations of Antagonism have generally been consistent in highlighting the more specific antagonistic traits (e.g., manipulativeness, callousness) that underlie the broader domain. However, less work has attempted to merge structural and functional accounts of Antagonism to assess how specific antagonistic traits manifest in daily life. This exploratory study examined how Antagonism and its specific features relate to outcomes assessed using ecological momentary assessment (EMA) methods. Across four independent EMA samples (N range=297-396; total N = 1,365; observations per outcome=5,419-17,735), we investigated how antagonistic traits related to theoretically relevant, EMA-based outcomes (e.g., affect, empathy, coldness-warmth in interpersonal interactions). Results showed robust findings across samples and operationalizations of Antagonism (e.g., Antagonism's relation with negative affect), along with more mixed results (e.g., Antagonism's relation with different measures of empathy). We discuss future research directions for structural and functional accounts of Antagonism.

Exploratory Machine Learning Modeling of Adaptive and Maladaptive Personality Traits from Passively Sensed Behavior.

Continuous passive sensing of daily behavior from mobile devices has the potential to identify behavioral patterns associated with different aspects of human characteristics. This paper presents novel analytic approaches to extract and understand these behavioral patterns and their impact on predicting adaptive and maladaptive personality traits. Our machine learning analysis extends previous research by showing that both adaptive and maladaptive traits are associated with passively sensed behavior providing initial evidence for the utility of this type of data to study personality and its pathology. The analysis also suggests directions for future confirmatory studies into the underlying behavior patterns that link adaptive and maladaptive variants consistent with contemporary models of personality pathology.

Psychometric Evaluation of a Big Five Personality State Scale for Intensive Longitudinal Studies.

Despite enthusiasm for using intensive longitudinal designs to measure day-to-day manifestations of personality underlying differences between people, the validity of personality state scales has yet to be established. In this study, we evaluated the psychometrics of 20-item and 10-item daily, Big Five personality state scales in three independent samples (N = 1,041). We used multilevel models to separately examine the validity of the scales for assessing personality variation at the between- and within-person levels. Results showed that a five-factor structure at both levels fits the data well, the scales had good convergent and discriminative associations with external variables, and personality states captured similar nomological nets as established global, self-report personality inventories. Limitations of the scales were identified (e.g., low reliability, low correlations with external criterion) that point to a need for more, systematic psychometric work. Our findings provide initial support for the use of personality state scales in intensive longitudinal designs to study between-person traits, within-person processes, and their interrelationship.

Role of pregaming motives in accounting for links between maladaptive personality traits and drinking consequences.

College students are at heightened risk of engaging in unhealthy alcohol use that leads to negative consequences (e.g., motor vehicle accidents, poor academic performance). Understanding how individual differences, such as maladaptive personality traits, contribute to that risk could improve intervention efforts. A potential pathway through which personality confers risk for consequences is by influencing students' motivation to drink. In this study of 441 college students, we investigated whether different motivations to pregame, a particularly risky and common drinking practice on college campuses, accounts for links between maladaptive traits and alcohol-related consequences. Results of bivariate analyses showed that all pregaming motives and maladaptive traits (except detachment) were strongly correlated with negative consequences. In path analytic models that adjusted for shared variance between pregaming motives and between maladaptive traits, results showed that traits had indirect effects on total drinking consequences via individual differences in pregaming motives as well as direct effects that were independent of motives. Specifically, antagonism, disinhibition, and negative affectivity predicted more drinking consequences via stronger motives to pregame for instrumental reasons over and above the general motivation to pregame, whereas detachment predicted fewer consequences via weaker instrumental pregaming motives. Antagonism and disinhibition were also associated with more drinking consequences, and detachment with fewer consequences, over and above pregaming motives and general personality problems. Our study indicates that one way maladaptive personality traits may shape alcohol-related consequences in college students is by associations with their motivations to pregame. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

It's time to replace the personality disorders with the interpersonal disorders.

Personality disorders (PDs) are among the most common and severe classes of psychopathology. From a clinical perspective, it is challenging to help individuals with personality disorders because treatment ruptures, discontinuation, reversals, and failures are relatively common. An additional clinical challenge is that the model used to diagnose personality disorders is demonstrably incorrect. Recent efforts to improve diagnosis of personality disorders apply two criteria: the first distinguishes personality disorders from other kinds of psychopathology and the second distinguishes different types of personality disorders. However, this approach has been problematic in that, as currently operationalized, it does not provide a clear demarcation for personality disorders, and it uses a framework for individual differences that is more apt as a model of variation in psychopathology in general. This article proposes that the core of personality disorders involves difficulties understanding and relating to self and others, and thus the personality disorders should be recast as the interpersonal disorders. Interpersonal dysfunction explains extreme social challenges and treatment difficulties that are characteristic of this class of psychopathology. This approach provides a clearer model for distinguishing these kinds of problems, as demonstrated by reformulating traditional personality disorder symptoms from an interpersonal perspective. (PsycInfo Database Record (c) 2023 APA, all rights reserved).