The Androgen Dehydroepiandrosterone Sulfate Shows a Greater Relationship with Impulsivity than Testosterone in a Healthy Male Sample

This study was designed to examine the relationships among the impulsivity construct as a personality trait, the dehydroepiandrosterone sulfate (DHEA-S), and testosterone in a sample of 120 healthy middle-aged males (Mage = 44.39; SD = 12.88). The sum of the three BIS-11 scales, the SR, and the five UPPS-P scales correlated with DHEA-S 0.23 (p < 0.006) and testosterone 0.19 (p < 0.04), controlling for age. Partial correlations showed that DHEA-S was significantly related to motor impulsivity (0.24; p < 0.008), Sensitivity to Reward (0.29; p < 0.002), Lack of Premeditation (0.26; p < 0.05), and, to a lesser extent, Sensation Seeking (0.19; p < 0.04) and Positive Urgency (0.19; p < 0.04). Testosterone correlated with attention impulsivity (0.18; p < 0.04), Sensation Seeking (0.18; p < 0.04), and Positive Urgency (0.22; p < 0.01). Sensitivity to Reward, Negative Urgency, and Positive Urgency were significant predictors of DHEA-S (R2 = 0.28), and Positive Urgency for testosterone (R2 = 0.09). Non-parametric LOESS graphical analyses for local regression allowed us to visualize the non-linear relationships between the impulsivity scales with the two androgens, including non-significant trends. We discuss the implications of these results for impulsive biological personality traits, the limitations of our analyses, and the possible development of future research.

Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman's and Gray's models), and decision-making styles

The present study was planned to study the relationships between age, personality (according to Zuckerman's and Gray's psychobiological models) and decision-making styles in relation to risky driving behaviors. The participants were habitual drivers, 538 (54.3%) men and 453 (45.7%) women, with a mean age around 45 years and mainly of middle socioeconomic status. The results indicate that the youngest men and women reported more Lapses, Ordinary violations, and Aggressive violations than the oldest men and women. Women reported more Lapses (d = -0.40), and men more Ordinary (d = 0.33) and Aggressive violations (d = 0.28) when driving. Linear and non-linear analysis clearly support the role of both personality traits and decision-making styles in risky driving behaviors. Aggressiveness, Sensitivity to Reward, Sensation Seeking played the main role from personality traits, and Spontaneous and Rational decision-making style also accounted for some variance regarding risky driving behaviors. This pattern was broadly replicated in both genders. The discussion section analyses congruencies with previous literature and makes recommendations on the grounds of observed results.

Factor Convergence and Predictive Analysis of the Five Factor and Alternative Five Factor Personality Models with the Five-Factor Personality Inventory for ICD-11 (FFICD)

The authors analyze and compare the factor convergence and predictive power of the Revised NEO Personality Inventory (NEO-PI-R) and the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ/SF) with respect to the Five-Factor Personality Inventory for ICD-11 (FFiCD). A total of 803 White Spanish subjects were analyzed. All the personality domains had significant predictive power with regard to the FFiCD except NEO Openness. The explained variance of the personality domains with respect to FFiCD Negative Affectivity (71% and 77%) and Detachment (56% and 56%) were similar for NEO-PI-R and ZKA-PQ/SF, respectively, but the NEO-PI-R accounted for greater variance for FFiCD Anankastia, Dissociality, and Disinhibition. The FFiCD facets of Rashness, Thrill- Seeking (Disinhibition), and Unassertiveness (Detachment) were located in factors other than those theoretically expected. The authors conclude that normal personality measured by the NEO-PI-R and the ZKA-PQ/SF contribute, in a differential but complementary way, to knowledge of the maladaptive personality measured by the FFiCD.

Factor Convergence and Predictive Analysis of the Five Factor and Alternative Five Factor Personality Models With the Five-Factor Personality Inventory for ICD-11 (FFiCD)

The authors analyze and compare the factor convergence and predictive power of the Revised NEO Personality Inventory (NEO-PI-R) and the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ/SF) with respect to the Five-Factor Personality Inventory for ICD-11 (FFiCD). A total of 803 White Spanish subjects were analyzed. All the personality domains had significant predictive power with regard to the FFiCD except NEO Openness. The explained variance of the personality domains with respect to FFiCD Negative Affectivity (71% and 77%) and Detachment (56% and 56%) were similar for NEO-PI-R and ZKA-PQ/SF, respectively, but the NEO-PI-R accounted for greater variance for FFiCD Anankastia, Dissociality, and Disinhibition. The FFiCD facets of Rashness, Thrill- Seeking (Disinhibition), and Unassertiveness (Detachment) were located in factors other than those theoretically expected. The authors conclude that normal personality measured by the NEO-PI-R and the ZKA-PQ/SF contribute, in a differential but complementary way, to knowledge of the maladaptive personality measured by the FFiCD.

Decision-Making and the Alternative Five Factor Personality Model: Exploring the Role of Personality Traits, Age, Sex and Social Position

This study explores the relationship between decision-making style, as measured by the Melbourne Decision Making Questionnaire, and personality based on alternative five-factor model along with effect of age, sex and social position on such styles. A large sample of community and undergraduate students (n = 1,562; M_age = 40.03, SD = 18.43) was analyzed. The results showed that Neuroticism and Extraversion were significantly related to the non-vigilant styles Hypervigilance, Buck-passing and Procrastination. Women scored significantly lower in Vigilance and higher in Hypervigilance, Buck-passing and Procrastinations than men. Age was significantly related to decision-making style in a U-shaped fashion. The Social Position Index was significantly related to all decision-making styles. The most predictive personality domains regarding decision-making scales were Aggressiveness (negatively) and Activity for Vigilance, and Neuroticism for Hypervigilance, Buck-passing and Procrastination. Age, sex and social position had a small/medium overall effect on the four dimensions of Melbourne Decision Making Questionnaire (p < 0.001) with a η² of 0.038, 0.068, 0.050, and 0.031 for Vigilance, Hypervigilance, Buck-passing and Procrastination, respectively. Based on scores on a single factor dimension of the MDMQ, the profile of participants with higher scores was characterized by lower age, more likely to be females, lower social position, higher levels of Aggressiveness, less Activity, less Extraversion, and higher Neuroticism.

Longitudinal associations between borderline personality disorder and five-factor model traits over 24 years

Are five-factor traits and borderline personality symptoms the same features with different names? The existing literature offers reasons to think they are the same and reasons to think they are different. We examined longitudinal associations between these variables in a sample of patients assessed 12 times over 24 years using latent curve models with structured residuals. Mean trajectories for all variables were in the direction of symptom reduction/personality maturation and could be parsed into an initial, rapid improvement phase and a subsequent, gradual improvement phase. We found robust between-person associations among intercepts and long-term slopes of traits and symptoms. Specifically, higher levels of neuroticism as well as lower levels of extraversion, agreeableness, and conscientiousness were associated with higher levels of borderline personality symptoms, and changes in these traits were correlated with reduction in symptoms over time. Associations among time-structured residuals allowed for examinations of within-person deflections from these general trends at briefer (two year) intervals. All variables exhibited robust within-person carry-over effects. Other within-person effects were more specific to certain traits. These results suggest that, despite their distinct theoretical and methodological bases, normal trait and psychiatric diagnostic approaches largely converged on a similar conception of borderline personality.

Personality and personality disorders: introduction to the special issue

The study of extreme variants of phenomena has always been a challenge for science. While the science of personality has roots in several traditions, historically numerous personality theories and constructs for the assessment and explanation of individual differences have strongly been influenced by the progress made in conceptualizing extreme states of psychological functioning. Yet, division of labour resulted in psychiatry and clinical psychology focusing on deviant or maladaptive and personality psychology specializing on the normal range of individual differences. This special issue of the European Journal of Personality is driven by the idea that linking the study of personality and psychopathology offers insights that neither discipline can achieve on its own. Copyright © 2005 John Wiley & Sons, Ltd.

Normal personality versus pathological personality: dimensional and predictive study

The present study aimed to replicate the previous relationship between the Zuckerman personality model and the Dimensional Assessment of Personality Pathology-Basic Questionnaire (DAPP-BQ) and to evaluate the contribution of the facets and factors from Zuckerman's new instrument Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ) versus the old Zuckerman-Kuhlman Personality Questionnaire to the four clusters of the DAPP-BQ. The sample consisted of 443 subjects from the general population of both sexes. The ZKA-PQ dimensions predicted between 35 % and 61% of the DAPP-BQ cluster variance and facets between 54% and 63%. Local regression graphical analysis (LOESS) showed that neuroticism and aggressiveness are the dimensions most related with emotional dysregulation. Sensation seeking and aggressiveness were associated with dissocial behaviour. Neuroticism and extraversion (negative) were associated with social avoidance and activity and sensation seeking (negative) with compulsiveness. The new ZKA-PQ improves the psychometric properties of the old Zuckerman-Kuhlman Personality Questionnaire. Both dimensional personality measures can play a role in the prediction of the future DSM-V personality disorder dimensional system.

An overview of issues related to categorical and dimensional models of personality disorder assessment

Despite long-standing efforts to improve the current diagnostic system for Axis II, problems remain with the categorical conceptualization of personality disorders (PDs). Due in part to these problems, interest has developed in dimensional models of PD classification. In this article, we discuss four issues relevant to categorical vs. dimensional assessment of PDs: (a) problems with self-reports in PD patients, (b) methodological issues in behavioral and clinician assessment of PDs, (c) challenges that arise when dimensional models are applied to patient and nonpatient samples, and (d) clinical implications of categorical and dimensional PD models. We suggest that researchers and clinicians address these concerns to avoid implementing a new PD assessment model that-although different from the current system-would otherwise remain fraught with difficulties.