Two-year retest reliability and predictive validity of the Self- and Informant-Personality Inventory for ICD-11 in older adults.

The International Classification of Diseases, 11th edition (ICD-11) adopted a fully dimensional model of personality disorder. The Personality Inventory for ICD-11 (PiCD) and Informant-Personality Inventory for ICD-11 (IPiC) were developed to assess the ICD-11 trait model, and the PiCD has since received significant validation support. However, there has only been one prior study of longitudinal predictive validity of the PiCD, two relatively short test-retest reliability studies of the PiCD, and no prior longitudinal tests of the IPiC. Longitudinal psychometric support for psychological assessment measures is essential. The present study provides a longer, larger, 2-year psychometric validation test of the PiCD and IPiC. Participants (N = 711) and their informants (N = 569) were recruited in the St. Louis Personality and Aging Network. The results demonstrated strong 2-year retest reliability for the PiCD and IPiC, as well as mean-level stability. Additionally, we explored the relationships between the PiCD and IPiC and important life outcome measures (depressive symptoms, satisfaction with life, and health status). The analysis revealed several significant associations between PiCD and IPiC scales and the outcome variables across time. Further, the PiCD Negative Affectivity and IPiC Detachment scales demonstrated incremental validity over each other and the outcome variables at Wave 1 in the prediction of depressive symptoms and satisfaction with life, respectively. The findings provide essential longitudinal test-retest reliability and predictive validity support for the PiCD and IPiC. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Longitudinal associations between PTSD and sleep disturbances among World Trade Center responders.

OBJECTIVE/BACKGROUND: Post-traumatic stress disorder (PTSD) is characterized by substantial disruptions in sleep quality, continuity, and depth. Sleep problems also may exacerbate PTSD symptom severity. Understanding how PTSD and sleep may reinforce one another is critical for informing effective treatments. PATIENTS/METHODS: In a sample of 452 World Trade Center 9/11 responders (mean age = 55.22, 89.4% male, 66.1% current or former police), we examined concurrent and cross-lagged associations between PTSD symptom severity, insomnia symptoms, nightmares, and sleep quality at 3 time points ∼1 year apart. Data were analyzed using random intercept cross-lagged panel models. RESULTS: PTSD symptom severity and sleep variables were relatively stable across time (intraclass correlation coefficients: 0.63 to 0.84). Individuals with more insomnia symptoms, more nightmares, and poorer sleep quality had greater PTSD symptom severity, on average. Within-person results revealed that greater insomnia symptoms and nightmares at Time 1 were concurrently associated with greater PTSD symptoms at Time 1. Insomnia symptoms were also concurrently associated with PTSD symptoms at Times 2 and 3, respectively. Cross-lagged and autoregressive results revealed that PTSD symptoms and nightmares predicted nightmares at the next timepoint. CONCLUSIONS: Overall, results suggest PTSD and sleep problems may be linked at the same point in time but may not always influence each other longitudinally. Further, individuals who experience more sleep disturbances on average may suffer from more debilitating PTSD. Evidence-based treatments for PTSD may consider incorporating treatment of underlying sleep disturbances and nightmares.

Examining the Concurrent and Predictive Validity of Single Items in Ecological Momentary Assessments.

Although single items can save time and burden in psychology research, concerns about their reliability have made the use of multiple-item measures the default standard practice. Although single items cannot demonstrate internal reliability, their criterion validity can be compared with multiple-item measures. Using ecological momentary assessment data, we evaluated repeated measures correlations and constructed multilevel cross-lagged models to assess concurrent and predictive validity of single- and multiple-item measures. Correlations between the single- and multiple-item measures ranged from .24 to .61. In 27 of 29 unique single-item predictor models, single items demonstrated significant predictive validity, and in one of eight sets of comparisons, a single-item predictor exhibited a larger effect size than its multiple-item counterpart. Although multiple-item measures generally performed better than single items, the added benefit of multiple items was modest in most cases. The present data provide support for the use of single-item measures in intensive longitudinal designs.

The Role of Personality in the Mental and Physical Health of World Trade Center Responders: Self- versus Informant-Reports.

Personality is linked to important health outcomes, but most prior studies have relied on self-reports, making it possible that shared-method variance explains the associations. The present study examined self- versus informant-reports of personality and multi-method outcomes. World Trade Center (WTC) responders and informants, 283 pairs, completed five-factor model personality measures and multi-method assessments of stressful events, functioning, mental disorders, 9/11-related treatment costs, BMI, and daily activity across three years. Self-reports were uniquely related to stressful events and functioning. Both self-reports and informant-reports showed incremental validity over one another for mental disorder diagnoses and treatment costs. For objective outcomes daily activity and BMI, informant-reports showed incremental validity over self-reports, accounting for all self-report variance and more. The findings suggest that informant-reports of personality provide better validity for objective health outcomes, which has implications for understanding personality and its role in mental and physical health.

Assessment of personality disorder in the ICD-11 diagnostic system: Polish validation of the Personality Inventory for ICD-11. / Pomiar zaburzen osobowosci w systemie diagnostycznym ICD-11: Polska adaptacja Inwentarza osobowosci PiCD.

OBJECTIVES: This paper presents results of a study on the Polish adaptation of the Personality Inventory for ICD-11 (PiCD), which was developed to measure pathological traits under a new, dimensional model of personality disorders proposed in ICD-11. METHODS: The study involved a non-clinical sample of N = 597 adults (51.4% female; Mage = 30.24 years; SD = 12.07 years). For convergent and divergent validity, Personality Inventory for DSM-5 (PID-5) and Big Five Inventory-2 (BFI-2) were used. RESULTS: The results showed the Polish adaptation of the PiCD to be reliable and valid. Cronbach's alpha coefficient for PiCD scale scores ranged from 0.77 to 0.87 (Mα = 0.82). The four-factor structure of PiCD items with the three unipolar factors, "Negative Affectivity", "Detachment", and "Dissociality", and one bipolar "Anankastia" vs. "Disinhibition" factor was conformed. All PiCD traits are related to PID-5 pathological traits and BFI-2 normal traits in an expected way both in correlational and factor analyses. CONCLUSIONS: Obtained data demonstrate satisfactory internal consistency, factorial validity, and convergent-discriminant validity of the Polish adaptation of PiCD in a non-clinical sample.

The General Factors of Personality Disorder, Psychopathology, and Personality.

There is considerable interest in the study of the general factors of personality disorder (g-PD), psychopathology (p factor), and personality (GFP). One prominent interpretation of the g-PD is that it is defined by the self-interpersonal impairments of Criterion A of the DSM-5 Section III. However, no study has directly tested this hypothesis as no prior g-PD study has included a measure of Criterion A. The current study provides a direct test of this hypothesis, along with comparing g-PD with the general factors of psychopathology and personality. Also extracted was a common general factor across all three domains. Suggested herein is that the g-PD, the p factor, and the GFP reflect the impairments (e.g., social and occupational dysfunction) that are secondary to the traits and disorders rather than the traits and/or disorders themselves.

Artificial intelligence language predictors of two-year trauma-related outcomes.

BACKGROUND: Recent research on artificial intelligence has demonstrated that natural language can be used to provide valid indicators of psychopathology. The present study examined artificial intelligence-based language predictors (ALPs) of seven trauma-related mental and physical health outcomes in responders to the World Trade Center disaster. METHODS: The responders (N = 174, Mage = 55.4 years) provided daily voicemail updates over 14 days. Algorithms developed using machine learning in large social media discovery samples were applied to the voicemail transcriptions to derive ALP scores for several risk factors (depressivity, anxiousness, anger proneness, stress, and personality). Responders also completed self-report assessments of these risk factors at baseline and trauma-related mental and physical health outcomes at two-year follow-up (including symptoms of depression, posttraumatic stress disorder, sleep disturbance, respiratory problems, and GERD). RESULTS: Voicemail ALPs were significantly associated with a majority of the trauma-related outcomes at two-year follow-up, over and above corresponding baseline self-reports. ALPs showed significant convergence with corresponding self-report scales, but also considerable uniqueness from each other and from self-report scales. LIMITATIONS: The study has a relatively short follow-up period relative to trauma occurrence and a limited sample size. CONCLUSIONS: This study shows evidence that ALPs may provide a novel, objective, and clinically useful approach to forecasting, and may in the future help to identify individuals at risk for negative health outcomes.

The self- and informant-personality inventories for ICD-11: Agreement, structure, and relations with health, social, and satisfaction variables in older adults.

The International Classification of Diseases-11th Edition (ICD-11) includes a dimensional trait model of personality disorder. The Personality Inventory for ICD-11 (PiCD) was the first self-report measure developed for its assessment. The present study examines the validity of an informant-report version of the PiCD, the Informant-Personality Inventory for ICD-11 (the IPiC), and is the first study to test self-other agreement, ratings from close others, and the criterion validity of both the IPiC and the PiCD for several popular and well-validated measures of life functioning: Life and romantic relationship satisfaction, social support, physical and mental health, depressive symptoms, insomnia symptoms, and cognitive decline. The present study is also the first to examine the IPiC and PiCD in a sample of older adults in the community. Results suggest that the IPiC and the PiCD show moderate self-other agreement, are associated significantly with several important life functioning areas, and have structural validity even at the item level. Further replication and validation are necessary for these instruments, but the IPiC and the PiCD have shown strong validation evidence to date, now including evidence of consensual and criterion validity, in addition to structural validity. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Five-Factor Model Personality Disorder Traits, Health Behaviors, Health Perceptions, and Insomnia Symptoms in Older Adults.

Personality traits predict physical health outcomes, including health behaviors, disease, and mortality. Maladaptive traits of personality disorders may predict even more variance in physical health indicators. Dimensional models of maladaptive personality traits are replacing categorical models of personality disorder, and the Five-Factor Model of personality disorder (FFMPD) is a useful dimensional model of maladaptive traits. However, there has been little work investigating the criterion validity of the FFMPD. The present study serves as a broad initial overview of the FFMPD scales in the prediction of health behaviors, heath perceptions, and insomnia symptoms across two time points in a representative community sample of older adults (N = 1,060). Findings indicate that the FFMPD scales explain a significant amount of variance in the physical health variables across time. Exploratory analyses indicate that the FFMPD traits have incremental validity over covariates, normal-range personality traits, and personality disorder criteria.

Personality Disorders in the ICD-11: Spanish Validation of the PiCD and the SASPD in a Mixed Community and Clinical Sample.

The International Classification of Diseases-11th revision (ICD-11) classification of personality disorders is the official diagnostic system that is used all over the world, and it has recently been renewed. However, as yet very few data are available on its performance. This study examines the Personality Inventory for ICD-11 (PiCD), which assesses the personality domains of the system, and the Standardized Assessment of Severity of Personality Disorder (SASPD), which determines severity. The Spanish versions of the questionnaires were administered to a community (n = 2,522) and a clinical sample (n = 797). Internal consistency was adequate in the PiCD (α = .75 to .84) but less so in the SASPD (α = .64 and .73). Factor analyses suggested a unidimensional or bidimensional structure for severity, while revealing that the personality trait qualifiers are organized into four factors: negative affectivity, detachment, dissociality, and a bipolar domain of disinhibition-anankastia. The mutual relationships between traits and severity were analyzed, as well as the ability of the whole system to identify clinical subjects. Although further improvements are required, the results generally support the use of the PiCD and the SASPD and help substantiate the new ICD-11 taxonomy that underlies them.

Criterion A Scales: Convergent, Discriminant, and Structural Relationships.

The alternative model of personality disorder was created to address the apparent failings of Diagnostic and Statistical Manual of Mental Disorders-Fourth edition-text revision personality disorder diagnostic categories and consists of Criterion A (i.e., personality functioning) and Criterion B (i.e., pathological personality traits). There are now four alternative measures of the Criterion A impairments but, perhaps surprisingly, no study has yet compared any one of them with any one of the other three. The current study assesses the convergent (and discriminant) validity of all four, as well as their structural relationship with the five-factor model (FFM), a widely accepted model for understanding the structure of normal and pathological personality traits. Exploratory structural equation modeling analyses of the Criterion A measures and FFM scales demonstrate that the Criterion A self-identity scale can be understood as a maladaptive variant of FFM neuroticism. Moreover, results indicate no appreciable discriminant validity in the assessment of the Criterion A impairments-the Criterion A scales correlated more highly within measures than across alternative measures, even when measuring the same construct. Implications of these findings for the conceptualization and assessment of Criterion A self and interpersonal impairments are discussed.

Personality Traits in the International Classification of Diseases 11th Revision (ICD-11).

PURPOSE OF REVIEW: The International Classification of Diseases 11th Revision (ICD-11) officially adopted a dimensional system of personality disorder that was a paradigm shift for the classification of personality disorders. The purpose of this article is to review the growing amount of research on one component of that system - the personality trait domain model. Importantly, several self-report measures have been developed to measure the ICD-11 domains and have been subjected to initial validation through examination of their factor structure, multimethod use, convergent and discriminant validity with other prominent dimensional personality models (such as the Five-Factor Model), and criterion validity for important life outcomes. RECENT FINDINGS: Studies indicate the ICD-11 domains align with the Five-Factor Model and prior influential models of dimensional personality traits, as expected, and thus rest on an impressive body of empirical research. They also capture large amounts of variance included in the ICD-10/Diagnostic and Statistical Manual of Mental Disorders, 5th Edition Section II personality disorders. SUMMARY: Together these findings support the construct validity of the ICD-11 trait domains. However, continued validation research is necessary, as well as research on how to implement these domains into clinical practice, and research on the more specific facet-level of the trait domains - although the ICD-11 model is only officially at the domain-level.

Predicting fluctuation in narcissistic states: An examination of the g-FLUX scale.

Studying dynamic patterns among grandiose and vulnerable narcissistic states has become an important area of inquiry. The g-FLUX (Oltmanns & Widiger, 2018) scale is a 9-item self-report measure designed to capture narcissistic dynamics in the absence of intensive longitudinal designs (e.g., ambulatory assessment, ecological momentary assessment). Though this scale has been associated with dispositional measures of narcissism, it has not yet been validated using ambulatory methods that can directly assess fluctuation in narcissistic states. The present study examined whether the g-FLUX scale predicts variability in state grandiosity and vulnerability across two samples: a community sample (N = 320) that was oversampled for low modesty and an independent undergraduate sample (N = 314). Results revealed that the g-FLUX scale predicts momentary variability in grandiosity and vulnerability. Results were stronger in the community sample. The study suggests that researchers should consider using the g-FLUX scale when interested in capturing dynamics within narcissism, especially when intensive longitudinal designs (e.g., ambulatory assessment methods) are not an option. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The General Factor of Psychopathology.

An important advance in understanding and defining mental disorders has been the development of empirical approaches to mapping dimensions of dysfunction and their interrelatedness. Such empirical approaches have consistently observed intercorrelations among the many forms of psychopathology, leading to the identification of a general factor of psychopathology (the p factor). In this article, we review empirical support for p, including evidence for the stability and criterion validity of p. Further, we discuss the strong relationship between p and both the general factor of personality and the general factor of personality disorder, substantive interpretations of p, and the potential clinical utility of p. We posit that proposed substantive interpretations of p do not explain the full range of symptomatology typically included in p. The most plausible explanation is that p represents an index of impairment that has the potential to inform the duration and intensity of a client's mental health treatment.

Personality psychopathology: Longitudinal prediction of change in body mass index and weight post-bariatric surgery.

OBJECTIVE: Bariatric surgery is an effective treatment for obesity, which has been increasing worldwide. However, bariatric surgery causes dramatic physical changes that can cause significant stress. Prior research has found that psychological variables such as personality traits and levels of psychopathology can influence success after bariatric surgery (in terms of body mass index [BMI] reduction and weight loss). However, most prior studies have been limited by small sample sizes, inconsistent follow up, and categorical assessment of psychopathology. METHOD: The present study examines the predictive utility of the Personality Assessment Inventory (PAI) scales for three bariatric surgery outcomes (BMI reduction, weight loss, and percent excess weight loss [%EWL]) across 10 follow-up points 5 years after surgery. It also examines the largest sample of bariatric surgery-completing patients (N = 2,267) on the PAI to date. Latent growth modeling was used to examine change in the outcome variables. RESULTS: Results indicate that personality and psychopathology variables predicted less BMI reduction, weight loss, and %EWL 5 years after surgery and also affected the trajectories of change in the outcome variables across time. The PAI scales predicted more variance in the 5-year BMI outcomes than did age and gender. The most robust effects were for scales assessing phobias, traumatic stress, identity problems, and negative relationships. CONCLUSION: The PAI may be useful to clinical health psychologists who conduct recommended psychological evaluations with potential bariatric surgery candidates. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

The Five-Factor Personality Inventory for ICD-11: A facet-level assessment of the ICD-11 trait model.

The International Classification of Diseases-11th edition (ICD-11) includes a dimensional model of personality disorder assessing five domains of maladaptive personality. To avoid unnecessary complexity, the ICD-11 model includes assessment of personality traits only at the domain level. A measure exists to assess the domains of the ICD-11 model (the Personality Inventory for ICD-11), yet a more rich and useful assessment of personality is provided at the facet level. We used items from the scales assessing the five-factor model of personality disorder to develop the Five-Factor Personality Inventory for ICD-11 (FFiCD), a new 121-item, 20-facet, self-report measure of the ICD-11 maladaptive personality domains at the facet level. Further, the FFiCD includes 47 short scales organized beneath the facets-at the "nuance" level. Items were selected and evaluated empirically across two independent data collections, and the resulting scales were further validated in a third data collection. Correlational and factor analytic results comparing the scales of the FFiCD to the five-factor model, Personality Inventory for ICD-11, and Personality Inventory for DSM-5 supported the validity of the theoretical structure of the FFiCD and the ICD-11 model. The FFiCD may be a useful instrument for clinicians and researchers interested in a more specific assessment of maladaptive personality according to the dimensional ICD-11 personality disorder model. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Personality change: Longitudinal self-other agreement and convergence with retrospective-reports.

The research literature on personality development is based mostly on self-report studies and on samples in younger adulthood. The present multimethod study examines self-other agreement on longitudinal personality change and convergence between self- and informant-reports of longitudinal and retrospective personality change in older adulthood. It provides a rare validation test of longitudinal measurements of personality change. A representative community sample of 1,630 older adults (Mage = 62.5) and their informants completed self- and informant-personality assessments across three waves that were on average 6.5 years apart. Self- and informant-reports of retrospective personality change were collected at the third wave. Latent growth modeling was used to examine longitudinal personality change, longitudinal self-other agreement on personality change, and convergence between longitudinal and retrospective personality change in each five-factor model domain. Older adults in the present study reported less change than has been found in younger samples; however, both self- and informant-reports indicated declines in extraversion. Results showed strong self-other agreement on longitudinal personality change in all 5-factor model domains, moderate correspondence between longitudinal and retrospective-reports of change within-method (i.e., within self- or informant-report), modest self-other agreement on retrospective-reports, and little association between longitudinal and retrospective change across-method (i.e., between self- and informant-reports). Findings provide validation evidence for both longitudinal and retrospective assessments of personality change, indicate that informants provide unique perspectives on personality change, and could have potentially important implications for research, assessment, and clinical settings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Obtaining and losing the bipolarity of the five-factor model through factor analysis.

The predominant model of general personality structure is arguably the 5-factor model (FFM), consisting of the 5 broad domains of neuroticism, extraversion, openness, agreeableness, and conscientiousness. A FFM of personality disorder (FFMPD) has proposed maladaptive variants at both poles of the FFM. The purpose of the current study was to identify a subset of FFMPD scales, using factor analysis, that illustrate the bipolarity present in the FFMPD, but equally important, to demonstrate that the presence of bipolarity is impaired by a number of concerns, including the impact of nondiametric scales and the occupation of interstitial space. All of the FFMPD scales were administered to 443 community participants recruited from Amazon Mechanical Turk. Bipolarity was evident in a series of factor analyses of subsets of FFMPD scales, with the exception of openness due to the presence of nondiametric scales. Scales identified in the current study can be used to provide an alternative measure of maladaptive personality structure, particularly if there is an interest in assessing for maladaptive variants at both poles, but an additional point of emphasis in the current study was also the fragility of this bipolar factor structure within factor analytic research. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Evaluating the assessment of the ICD-11 personality disorder diagnostic system.

Proposed for the ICD-11 is a dimensional model of personality disorder that, if approved, would be a paradigm shift in the conceptualization of personality disorder. The proposal consists of a general severity rating, 5 maladaptive personality trait domains, and a borderline pattern qualifier. The general severity rating can be assessed by the Standardized Assessment of Severity of Personality Disorder (SASPD), the trait domains by the Personality Inventory for ICD-11 (PiCD), and the borderline pattern by the Borderline Pattern Scale (BPS), which is developed in the present study. To date, no study has examined the relations among all 3 components, due in part to the absence of direct measures for each component (until recently). The current study develops and provides initial validation evidence for the BPS, and examines the relations among the BPS, SASPD, and PiCD. Also considered is their relationship with the 5-factor model of general personality as well as with 2 other measures of personality disorder severity (including the DSM-5 Level of Personality Functioning Scale [LPFS]). Further, an alternative trait-based coding of the DSM-5 LPFS is examined (modeled after the ICD-11 SASPD), suggesting that its coverage of diverse maladaptivity may not be because it assesses the core of personality disorder, but rather because it has items specific to the different domains of personality. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Examining criterion a: DSM-5 level of personality functioning as assessed through life story interviews.

The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition alternative model for personality disorders offers a two-part definition of personality pathology, separating personality functioning from traits. The Level of Personality Functioning Scale (LPFS) from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition alternative model for personality disorders encapsulates the personality functioning criterion, and several methods have been used to assess it. Previous interview rating methods have overlapped with an assessment of personality traits and symptoms, biasing the assessment of functioning, and recently developed self-report instruments rely on the participant's awareness of their personality pathology. The purpose of the current analyses was to examine the reliability and validity of LPFS ratings based on open-ended, nondiagnostic interviews. The sample consisted of 162 community-dwelling, older adult participants from the St. Louis Personality and Aging Network. Undergraduate students rated video recordings of Life Story Interviews, using a 12-item version of the LPFS. One-way random, average measures intraclass correlation coefficient for the total LPFS was .80. A principal components analysis indicated that a single underlying dimension could characterize the LPFS. Component scores derived from this analysis demonstrated theoretically consistent associations with both normal-range and maladaptive personality traits. The component scores also contributed small but significant variance to the prediction of personality disorder symptoms, health, and functional outcomes over and above personality traits. These findings support the reliability and validity of the LPFS as assessed using Life Story Interviews and suggest that personality functioning ratings may have utility in predicting clinically relevant outcomes. (PsycINFO Database Record (c) 2019 APA, all rights reserved).