Browse
Submit Data
Databases
API
Help

Dataset Information

37 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identifying affective personality profiles: A latent profile analysis of the Affective Neuroscience Personality Scales.

ABSTRACT: Based on evolutionary theory, a recent model in affective neuroscience delineated six emotional brain systems at the core of human personality: SEEKING, CARING, PLAYFULNESS, FEAR, ANGER, SADNESS. The Affective Neuroscience Personality Scales (ANPS) assess their functioning. Using a person-centred approach of the ANPS, this study: (i) examined the existence of latent personality profiles, (ii) studied their gender invariance, (iii) assessed their longitudinal (4 years) stability, and (iv) explored how they relate to several intrapersonal, interpersonal, and emotion regulation skills. Latent Profile Analysis in 2 samples (Canadian, longitudinal, N?=?520; French, cross-sectional, N?=?830) found that, qualitatively, 3 profiles characterized both populations and genders, with one distinction for the second profile where the French women endorsed slightly higher and lower scores for, respectively, the negative and positive emotions. Whilst not being quantitatively similar across genders, the personality profiles remained consistent across time in the longitudinal sample. Associations between profiles and intrapersonal (e.g. depression), interpersonal (e.g. empathy), and emotion regulation skills measures (e.g. emotional intelligence) offered concurrent validity evidence. This person centred approach to ANPS offers a holistic and parsimonious way to study affective personality dimensions. It opens promising avenues for future studies on the predictive value of ANPS profiles, and for personality-targeted interventions.

SUBMITTER: Orri M

PROVIDER: S-EPMC5495783 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Testing different versions of the Affective Neuroscience Personality Scales in a clinical sample.

Project description:BackgroundAs a tool to investigate the experiences of six primary emotions, Davis, Panksepp, and Normansell developed the Affective Neuroscience Personality Scales (ANPS). However, the psychometric properties of the ANPS have been questioned, and in particular the factor structure. This study replicates earlier psychometric studies on ANPS in a sample of (546) personality disordered patients, and also includes ANPS-S, a recent short version of ANPS by Pingault and colleagues, and a truncated version of BANPS by Barrett and colleagues.Methodology/principal findingsThe study of the full ANPS revealed acceptable internal consistencies of the primary emotion subscales, ranging from 0.74-0.87. However, factor analyses revealed poor to mediocre fit for a six factor solution. Correlational analyses, in addition, revealed too high correlations between PLAY and SEEK, and between SADNESS and FEAR. The two short versions displayed better psychometric properties. The range of internal consistency was 0.61-0.80 for the BANPS scales and 0.65-84 for the ANPS-S. Backward Cronbach Alpha Curves indicated potentials for improvement on all three versions of the questionnaire. Items retained in the short versions did not systematically cover the full theoretical content of the long scales, in particular for CARE and SADNESS in the BANPS. The major problems seem to reside in the operationalization of the CARE and SADNESS subscales of ANPS.Conclusions/significanceFurther work needs to be done in order to realize a psychometrically sound instrument for the assessment of primary emotional experiences.

| S-EPMC4188588 | biostudies-literature

A new approach of personality and psychiatric disorders: a short version of the Affective Neuroscience Personality Scales.

Project description:BackgroundThe Affective Neuroscience Personality Scales (ANPS) is an instrument designed to assess endophenotypes related to activity in the core emotional systems that have emerged from affective neuroscience research. It operationalizes six emotional endophenotypes with empirical evidence derived from ethology, neural analyses and pharmacology: PLAYFULNESS/joy, SEEKING/interest, CARING/nurturance, ANGER/rage, FEAR/anxiety, and SADNESS/separation distress. We aimed to provide a short version of this questionnaire (ANPS-S).Methodology/principal findingsWe used a sample of 830 young French adults which was randomly split into two subsamples. The first subsample was used to select the items for the short scales. The second subsample and an additional sample of 431 Canadian adults served to evaluate the psychometric properties of the short instrument. The ANPS-S was similar to the long version regarding intercorrelations between the scales and gender differences. The ANPS-S had satisfactory psychometric properties, including factorial structure, unidimensionality of all scales, and internal consistency. The scores from the short version were highly correlated with the scores from the long version.Conclusions/significanceThe short ANPS proves to be a promising instrument to assess endophenotypes for psychiatrically relevant science.

| S-EPMC3406066 | biostudies-literature

The German version of the brief affective neuroscience personality scales including a LUST scale (BANPS-GL).

Project description:ObjectivesThis study presents the German version of the Brief Affective Neuroscience Personality Scales (BANPS), which includes an additional subscale for the dimension LUST. The BANPS represents a shortened version of the Affective Neuroscience Personality Scales (ANPS), a self-report instrument to assess individual dispositions toward primary emotional systems as proposed by Jaak Panksepp.MethodsIn a large sample (N = 926), the reliability and various facets of validity of the German translation of the BANPS were examined together with the newly included LUST scale. The BANPS-GL was related to the Big Five Inventory (BFI) and Sexual Sensation Seeking Scale (SSSS) and analyzed via confirmatory factor analysis (CFA).ResultsOverall, the BANPS-GL exhibited reliabilities ranging from McDonald's ω = 0.70 (CARE) to α = 0.86 (SADNESS) and plausible correlations with external criteria. For CFA a correlated 7-factor model demonstrated good fit [TLI = 0.95; RMSEA = 0.04 (90% CI: 0.04, 0.05); SRMR = 0.06]. A similar fit was demonstrated for a 2-higher-factor model [TLI = 0.93; RMSEA = 0.05 (90% CI: 0.05, 0.06); SRMR = 0.07].ConclusionIn broad agreement with the results of the original English version, the BANPS-GL showed good reliability and acceptable factorial validity, and overall improved the psychometric properties of the original long form. Finally, the inclusion of the dimension LUST allows for a complete coverage of the primary emotion dispositions as originally conceptualized by Panksepp.

| S-EPMC10359993 | biostudies-literature

The Affective Neuroscience Personality Scales: Linking the adjective and statement-based inventories with the Big Five Inventory in English and German-speaking samples.

Project description:Jaak Panksepp's Affective Neuroscience Theory is of high relevance not only for a better understanding of affective brain disorders but also in personality research. To make Panksepp's theory more accessible for psychologists and psychiatrists, Davis, Panksepp, and Normansell (2003) developed the Affective Neuroscience Personality Scales (ANPS). These scales assess the manifestation of the primary emotional traits in humans based on a personality trait approach. Given their putative foundation in old subcortical areas in the brain, these primary emotional traits (assessed via the ANPS) could represent the evolutionarily oldest manifestations of personality (but this notion is still a matter of a debate). However, the ANPS inventories were based on using contextual items (e.g., about specific attitudes, behaviors, and feelings in specific situations). Recently, an adjective-based ANPS (ANPS-Adjective Ratings or ANPS-AR) was developed for a less context-dependent and more efficient assessment of Panksepp's primary emotional systems in humans for use by both individuals and independent observer raters. The present work introduces the first German version of the ANPS-AR. Moreover, the current work investigates the original and ANPS-AR versions of the ANPS and their associations with the Big Five personality traits in two independent English- and German-speaking samples. The results show that the ANPS measures are very similarly correlated with the Big Five personality traits across different samples and scales. This work replicates the previous findings in an English version, and demonstrates the reliability and validity of the adjective-based German ANPS-AR.

| S-EPMC8988172 | biostudies-literature

A Latent Profile Analysis of Affective Triggers for Risky and Impulsive Behavior.

Project description:Common theoretical models of risky and impulsive behaviors suggest that individuals engage in risky behavior to avoid negative affect or enhance positive affect. However, little research has been done to identify person-centered affective profiles of risky and impulsive behavior, and delineate the individual differences across these profiles. The present study used the Risky, Impulsive, and Self-destructive Behavior Questionnaire in community (N = 439) and incarcerated (N = 262) samples to examine latent affect profiles for risky and impulsive behavior. Four affective profiles emerged: low avoidance and low approach, average avoidance and average approach, high avoidance, and high approach. Conditional probability correlations revealed meaningful differences across these profiles in psychiatric symptomatology, personality characteristics, and behavior. Consideration of affective triggers provides an important framework for dissociating the underlying reasons why individuals engage in risky behavior.

| S-EPMC6328440 | biostudies-literature

Participation profiles among Chinese stroke survivors: A latent profile analysis.

Project description:ObjectivesTo investigate the current status of participation and explore the characteristics of individuals with different levels of participation among stroke survivors in mainland China.DesignCross-sectional survey.SettingParticipants were recruited by convenience sampling from the neurology department of the tertiary hospitals and communities.SubjectsStroke survivors (N = 517; mean (±SD) age, 69.97±11.51 y; 36.8% female).InterventionNot applicable.Main outcome measuresParticipation was measured using the Chinese version of the Impact on Participation and Autonomy Questionnaire (IPA). Rating of disability was assessed using the Modified Rankin Scale (mRS). The Perceived Social Support Scale (PSSS), the Medical Coping Modes Questionnaire (MCMQ), and the Herth Hope Scale (HHS) were also employed to measure social support, coping strategy, and hope of stroke survivors. The latent profiles analysis (LPA) was conducted using the Mplus version 8.3.ResultsThe mean score of participation was 41.21±21.204. Participants were divided into three groups according to the participation using the LPA. The mean score on the sum of IPA for the high, medium, and low participation groups was 18.93±8.529, 42.50±8.302, and 69.44±9.516, respectively.ConclusionsStroke survivors have a low level of participation. Stroke survivors with low income, high mRS stage, bad health condition, and being dissatisfied for life tended to have low participation. Healthcare professionals should pay special attention to them and make targeted interventions based on their characteristics.

| S-EPMC7774852 | biostudies-literature

Personality and mentalization: A latent profile analysis of mentalizing problematics in adult patients.

Project description:BackgroundThe aim of this study was to investigate the relationship between patients' mentalizing problematics and their personality; specifically, it aimed to identify clusters of individuals characterized by specific patterns of mentalizing imbalances and to analyze the relationship between these and diagnosis of personality disorder (PD), nonmentalizing modes, emotion dysregulation, and interpersonal reactivity.MethodsFour hundred therapeutic dyads were recruited. A part of these (n = 183) only completed clinician-report measures, Mentalization Imbalances Scale, and Modes of Mentalization Scale, while others (n = 217) also completed patients' self-report measures, which were Reflective Functioning Questionnaire, Difficulties in Emotion Regulation Scale, and Interpersonal Reactivity Index.ResultsA latent profile analysis enlightened the presence of four clusters with problematics in the dimensions of mentalization, indicated by cluster names: (1) Affective-self-automatic profile (ASA-P) (with higher percentage of PDs); (2) External profile (E-P) (with lower percentage of PDs); (3) Others-automatic-affective profile (OAA-P); (4) Cognitive-self-automatic profile (CSA-P). Multivariate analysis of variances confirmed that the four clusters differed in relation to the quality of mentalization, emotional dysregulation and interpersonal reactivity, with higher levels of nonmentalization modes, uncertainty about mental states and emotion dysregulation in ASA-P, higher levels of good mentalization in E-P, lower impulsivity in CSA-P, and greater empathic concern in OAA-P.

| S-EPMC10087971 | biostudies-literature

Bottom-up transdiagnostic personality subtypes are associated with state psychopathology: A latent profile analysis.

Project description:IntroductionPersonality-based profiling helps elucidate associations between psychopathology symptoms and address shortcomings of current nosologies. The objective of this study was to bracket the assumption of a priori diagnostic class borders and apply the profiling approach to a transdiagnostic sample. Profiles resembling high-functioning, undercontrolled, and overcontrolled phenotypes were expected to emerge.MethodsWe used latent profile analysis on data from a sample of women with mental disorders (n = 313) and healthy controls (n = 114). 3-5 profile solutions were compared based on impulsivity, perfectionism, anxiety, stress susceptibility, mistrust, detachment, irritability, and embitterment. The best-fitting solution was then related to measures of depression, state anxiety, disordered eating, and emotion regulation difficulties to establish clinical significance.ResultsA 5-profile solution proved best-fitting. Extracted profiles included a high-functioning, a well-adapted, an impulsive and interpersonally dysregulated, an anxious and perfectionistic, and an emotionally and behaviorally dysregulated class. Significant differences were found in all outcome state measures, with the emotionally and behaviorally dysregulated class exhibiting the most severe psychopathology.DiscussionThese results serve as preliminary evidence of the predictive nature and clinical utility of personality-based profiles. Selected personality traits should be considered in case formulation and treatment planning. Further research is warranted to replicate the profiles and assess classification stability and profiles' association with treatment outcome longitudinally.

| S-EPMC9990091 | biostudies-literature

Neurodevelopmental profiles of preschool-age children in Flint, Michigan: a latent profile analysis.

Project description:ObjectiveChildren in Flint, Michigan, have experienced myriad sociodemographic adversities exacerbated by the Flint water crisis. To help inform child-focused prevention and intervention efforts, we aimed to describe patterns of neurodevelopmental outcomes among preschoolers who experienced the Flint water crisis before age 2 years.MethodParticipants were 170 preschoolers who completed a comprehensive neurodevelopmental assessment battery, including directly administered measures of cognitive and executive functioning and maternal-report of adaptive skills and behavioral problems. We used latent profile analysis to derive subgroups. Multivariate multinomial logistic regression was conducted to examine the predictors of profile memberships, including child sex and maternal/family-level factors selected from an array of measured exposures using least absolute shrinkage and selection operator regression.ResultsThree latent profiles were identified: Profile 1-relative weakness in all domains (50%); Profile 2-normative functioning in all domains (34.1%); and Profile 3-relative strengths in executive function and behavior (15.9%). Profile 1 showed lower scores across cognitive and behavioral domains. Profile 2 demonstrated abilities within the normal range across domains. Profile 3 showed relative strength in executive functioning with few behavior problems, despite lower cognitive performance. Children across all profiles showed adaptive behavior in the adequate range. Child sex and maternal IQ were significant predictors of profile membership.ConclusionsChildren in Flint demonstrated diverse patterns of development in the face of sociodemographic and environmental adversities. Comprehensive screening and neurodevelopmental profiling of children in this at-risk population are needed to identify areas of needs and inform appropriate service delivery.

| S-EPMC8377967 | biostudies-literature

Identifying latent trajectories of personality disorder symptom change: growth mixture modeling in the longitudinal study of personality disorders.

Project description:Although previous reports have documented mean-level declines in personality disorder (PD) symptoms over time, little is known about whether personality pathology sometimes emerges among nonsymptomatic adults, or whether rates of change differ qualitatively among symptomatic persons. Our study sought to characterize heterogeneity in the longitudinal course of PD symptoms with the goal of testing for and describing latent trajectories. Participants were 250 young adults selected into two groups using a PD screening measure: those who met diagnostic criteria for a DSM-III-R PD (PPD, n = 129), and those with few PD symptoms (NoPD, n = 121). PD symptoms were assessed three times over a 4-year study using semistructured interviews. Total PD symptom counts and symptoms of each DSM-III-R PD were analyzed using growth mixture modeling. In the NoPD group, latent trajectories were characterized by stable, minor symptoms; the rapid or gradual remission of subclinical symptoms; or the emergence of symptoms of avoidant, obsessive-compulsive, or paranoid PD. In the PPD group, three latent trajectories were evident: rapid symptom remission, slow symptom decline, or a relative absence of symptoms. Rapid remission of PD symptoms was associated with fewer comorbid disorders, lower Negative Emotionality, and greater Positive Emotionality and Constraint, whereas emergent personality dysfunction was associated with comorbid PD symptoms and lower Positive Emotionality. In most cases, symptom change for one PD was associated with concomitant changes in other PDs, depressive symptoms, and anxiety. These results indicate that the longitudinal course of PD symptoms is heterogeneous, with distinct trajectories evident for both symptomatic and nonsymptomatic individuals. The prognosis of PD symptoms may be informed by an assessment of personality and comorbid psychopathology.

| S-EPMC3570677 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data