Trait positive and negative emotionality differentially associate withdiurnal cortisol activity

Inter-individual variability in metrics of hypothalamic-pituitary-adrenocortical (HPA) activity, such asthe slope of the diurnal decline in cortisol, cortisol awakening response (CAR), and total cortisol out-put, have been found to associate inversely with trait ratings of extraversion and positive affect (E/PA)and positively with neuroticism and negative affect (N/NA) in some, but not all, investigations. Theseinconsistencies may partly reflect varied intensity of cortisol sampling among studies and reliance onself-rated traits, which are subject to reporting biases and limitations of introspection. Here, we furtherexamined dispositional correlates of HPA activity in 490 healthy, employed midlife volunteers (M age = 43years; 54% Female; 86% white). Trait ratings were requested from participants and 2 participant-electedinformants using the Positive and Negative Affect Schedule (PANAS) and Extraversion and Neuroticismdimensions of NEO personality inventories. CAR was assessed as percent increase in cortisol levels fromawakening to 30 min after awakening; and the diurnal slope and total output of cortisol [Area Underthe Curve (AUC)] were determined from cortisol measurements taken at awakening, +4 and +9 h later,and bedtime, across 3 workdays. Structural equation modeling was used to estimate multi-informantE/PA and N/NA factors. We used 3 days of measurement as indicators to model each of the three latentcortisol factors (slope, CAR, and AUC). With the two latent emotionality and three latent cortisol indicesincluded there was good fit to the data ( 2(200)= 278.38, p = 0.0002; RMSEA = 0.028, 90% CI = 0.02–0.04;CFI/TLI = 0.97/0.96; SRMR = 0.04). After controlling for covariates (age, sex, race), results showed higherlatent E/PA associated with a steeper diurnal slope (Standardized ˇ = −0.19, p = 0.02) and smaller CAR(Standardized ˇ = −0.26, p = 0.004), whereas N/NA did not associate with any cortisol metric (Standard-ized ˇ’s = −0.12 to 0.13, p’s = 0.10 to 0.53). These findings suggest that positive emotionality may be moreclosely associated with indices of diurnal cortisol release than negative emotionality

Trait positive and negative emotionality differentially associate withdiurnal cortisol activity

Inter-individual variability in metrics of hypothalamic-pituitary-adrenocortical (HPA) activity, such asthe slope of the diurnal decline in cortisol, cortisol awakening response (CAR), and total cortisol out-put, have been found to associate inversely with trait ratings of extraversion and positive affect (E/PA)and positively with neuroticism and negative affect (N/NA) in some, but not all, investigations. Theseinconsistencies may partly reflect varied intensity of cortisol sampling among studies and reliance onself-rated traits, which are subject to reporting biases and limitations of introspection. Here, we furtherexamined dispositional correlates of HPA activity in 490 healthy, employed midlife volunteers (M age = 43years; 54% Female; 86% white). Trait ratings were requested from participants and 2 participant-electedinformants using the Positive and Negative Affect Schedule (PANAS) and Extraversion and Neuroticismdimensions of NEO personality inventories. CAR was assessed as percent increase in cortisol levels fromawakening to 30 min after awakening; and the diurnal slope and total output of cortisol [Area Underthe Curve (AUC)] were determined from cortisol measurements taken at awakening, +4 and +9 h later,and bedtime, across 3 workdays. Structural equation modeling was used to estimate multi-informantE/PA and N/NA factors. We used 3 days of measurement as indicators to model each of the three latentcortisol factors (slope, CAR, and AUC). With the two latent emotionality and three latent cortisol indicesincluded there was good fit to the data ( 2(200)= 278.38, p = 0.0002; RMSEA = 0.028, 90% CI = 0.02–0.04;CFI/TLI = 0.97/0.96; SRMR = 0.04). After controlling for covariates (age, sex, race), results showed higherlatent E/PA associated with a steeper diurnal slope (Standardized ˇ = −0.19, p = 0.02) and smaller CAR(Standardized ˇ = −0.26, p = 0.004), whereas N/NA did not associate with any cortisol metric (Standard-ized ˇ’s = −0.12 to 0.13, p’s = 0.10 to 0.53). These findings suggest that positive emotionality may be moreclosely associated with indices of diurnal cortisol release than negative emotionality

Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology:The impact of researchers choices on the selection of treatment targets using the experience sampling methodology

OBJECTIVE: One of the promises of the experience sampling methodology (ESM) is that a statistical analysis of an individual’s emotions, cognitions and behaviors in everyday-life could be used to identify relevant treatment targets. A requisite for clinical implementation is that outcomes of such person-specific time-series analyses are not wholly contingent on the researcher performing them. METHODS: To evaluate this, we crowdsourced the analysis of one individual patient’s ESM data to 12 prominent research teams, asking them what symptom(s) they would advise the treating clinician to target in subsequent treatment. RESULTS: Variation was evident at different stages of the analysis, from preprocessing steps (e.g., variable selection, clustering, handling of missing data) to the type of statistics and rationale for selecting targets. Most teams did include a type of vector autoregressive model, examining relations between symptoms over time. Although most teams were confident their selected targets would provide useful information to the clinician, not one recommendation was similar: both the number (0–16) and nature of selected targets varied widely. CONCLUSION: This study makes transparent that the selection of treatment targets based on personalized models using ESM data is currently highly conditional on subjective analytical choices and highlights key conceptual and methodological issues that need to be addressed in moving towards clinical implementation

Applied Ambulatory Assessment: Integrating Idiographic and Nomothetic Principles of Measurement

Ambulatory assessment (also known as ecological momentary assessment) has enjoyed enthusiastic implementation in psychological research. The ability to assess thoughts, feelings, behavior, physiology, and context intensively and repeatedly in the moment in an individual’s natural ecology affords access to data that can answer exciting questions about sequences of events and dynamic processes in daily life. Ambulatory assessment also holds unique promise for developing personalized models of individuals (i.e., precision or person-specific assessment) that might be transformative for applied settings such as clinical practice. However, successfully translating ambulatory assessment from bench to bedside is challenging because of the inherent tension between idiographic and nomothetic principles of measurement. We argue that the value of applied ambulatory assessment will be most fully realized by balancing the ability to develop personalized models with ensuring comparability among individuals

A Metastructural Model of Mental Disorders and Pathological Personality Traits

Background: Psychiatric comorbidity is extensive in both psychiatric settings and the general population. Such comorbidity challenges whether DSM-based mental disorders serve to effectively carve nature at its joints. In response, a substantial literature has emerged showing that a small number of broad dimensions—internalizing, externalizing, and psychoticism—can account for much of the observed covariation among common mental disorders. However, the location of personality disorders within this emerging metastructure has only recently been studied, and no studies have yet examined where pathological personality traits fit within such a broad metastructural framework. Methods: We conducted joint structural analyses of common mental disorders, personality disorders, and pathological personality traits in a sample of 628 current or recent psychiatric outpatients. Results: Bridging across the psychopathology and personality trait literatures, the results provide evidence for a robust five-factor metastructure of psychopathology, including broad domains of symptoms and features related to internalizing, disinhibition, psychoticism, antagonism, and detachment. Conclusions: These results reveal evidence for a psychopathology metastructure that (a) parsimoniously accounts for much of the observed covariation among common mental disorders, personality disorders, and related personality traits, and (b) provides an empirical basis for the organization and classification of mental disorder

Integrating Structure and Function in Conceptualizing and Assessing Pathological Traits

The Diagnostic and Statistical Manual of Mental Disorders’ (5th Edition) Alternative Model of Personality Disorders includes a dimensional trait model to describe individual differences in the manifestation of personality pathology. Empirically derived quantitative trait models of psychopathology address many of the structural problems of classical diagnostic schemes (e.g., non-binary distributions, excessive comorbidity, diagnostic heterogeneity). However, they are largely based on the structure of individual differences in the manifestation of psychopathology. In contrast, clinical theories of personality disorder, which are the foundation of intervention efforts, are based on the function of maladaptive behavior. This distinction is akin to the difference between morphology and physiology in the broader biological sciences. A structure-function divide in the focus of empirical and clinical work contributes to a lack of integration and difficulties with translation. Here we discuss this tension and argue for the need bridge this divide and adopt research efforts that integrate structure and function of personality traits. Specifically, we suggest that between-person structure identifies the principal domains of functioning, but to understand dysfunction personality must be conceptualized and studied as an ensemble of contextualized dynamic processes

Alcohol abuse, personality disorders, and aggression: The quest for a common underlying mechanism

Alcohol abuse and personality disorders are often comorbid, and their co-occurrence is associated with worse rognostic expectations, poor therapeutic outcomes, as well as deleterious behavioral and interpersonal consequences. The current review aims at untangling the association among alcohol abuse, personality disorders, and aggression. After reviewing the relevant literature on alcohol abuse, personality disorders, and related aggression, we propose that their association could be better understood by acknowledging common underlying mechanisms. Accordingly, we outline different potential avenues that can explain their association. In particular, we focus on impulsivity and emotion dysregulation as possible triggers of alcohol abuse and personality disorders, ultimately leading to self-harm and interpersonal violence. Also, the critical role of contextual influences in exacerbating both subjective and interpersonal dysfunctions is considered. Finally,we argue thatemotion dysregulation and impulsivity could serve as useful intervention targets to treat clients with personality disorders and alcohol abuse who engage in aggressive behavior, by tackling these mechanisms underlying their complex pathology. Relevant implications for both clinical and research purposes are also highlighted

An Inventory of Daily Expressions of Psychopathology

This is an in-development inventory designed to assess expressions of psychopathology in daily life in intensive longitudinal studies. This page will be regularly updated as more information becomes available