Emerging Adult Report of Childhood Maltreatment and Related Facets of Impulsivity

Childhood maltreatment is related to a host of outcomes, many of which may be partially explained by the transdiagnostic factor of impulsivity. The research linking maltreatment to impulsivity is well supported. However, research differentiating between emotional and physical maltreatment and impulsivity is lacking, particularly with regard to facets of trait impulsivity. Thus, the current study examined the links between childhood emotional and physical maltreatment and current impulsivity traits of positive and negative urgency, lack of perseverance, lack of premeditation, and sensation seeking in emerging adults. Furthermore, effects of maltreatment are known to differ by the gender of the parent and the gender of the child. Thus, differences between parent-emerging adult child gender dyads were also examined. Results suggested both physical and emotional maltreatment were associated with negative urgency across the parent-child gender dyads. Emotional maltreatment and physical maltreatment differed in relation to impulsivity facet across parent and child gender. Results contribute to a knowledge base to use in future exploration of emotional and physical maltreatment outcomes and targets of intervention.

Impulsivity, internalizing symptoms, and online group behavior as determinants of online hate

Online hate is widely identified as a social problem, but its social psychological dimensions are yet to be explored. We used an integrative social psychological framework for analyzing online hate offending and found that both personal risk factors and online group behavior were associated with online hate offending. Study 1, based on socio-demographically balanced survey data (N = 1200) collected from Finnish adolescents and young adults, found that impulsivity and internalizing symptoms were positively associated with online hate offending. Furthermore, social homophily was positively associated with online hate offending but only among those with average or high level of internalizing symptoms. Social identification with online communities was not associated with hate offending. In Study 2, based on a vignette experiment (N = 160), online hate offenders were more likely than others to rely on in-group stereotypes (i.e. self-stereotype) in anonymous online interaction and, as a consequence, follow perceived group norms. These associations were found only when a shared group identity was primed. We conclude that both personal risk factors and group behavior are related to online hate but they have different implications for reducing hateful communication in social media.

Mood instability contributes to impulsivity, non-suicidal self-injury, and binge eating/purging in people with anxiety disorders

OBJECTIVES

The purpose of this study was to determine whether mood instability in people with anxiety disorders contributes to trait impulsivity, non-suicidal self-injury, and binge eating/purging.

METHODS

Data were analysed from a general population sample of 7,221 adults (M_age  = 51.0 years; 56.9% female). Logistic regression analyses with effect decompositions were used to establish the associations of five anxiety disorders (generalized anxiety disorder, social phobia, panic disorder, agoraphobia, and obsessive-compulsive disorder) with impulsivity, non-suicidal self-injury, and binge eating/purging, and then to determine the extent that adding mood instability to each model reduced these relationships.

RESULTS

Participants with an anxiety disorder were more likely to report impulsivity compared to participants without an anxiety disorder (ORs = 2.40-3.92, all p < .001), but these relationships reduced by 59-78% and became non-significant when mood instability was added to the models. Participants with an anxiety disorder were also more likely to report non-suicidal self-injury (ORs = 3.86-18.9, all p < .001) and binge eating/purging (ORs = 4.05-14.9, all p < .01); adding mood instability to the models reduced these relationships by at least 30%.

CONCLUSIONS

Mood instability and impulsivity are common in people with anxiety disorders. Anxiety disorders are associated with impulsivity largely because of the association between mood instability and impulsivity. Mood instability may contribute to non-suicidal self-injury and binge eating/purging in people with anxiety disorders. Treatments for mood instability in addition to standard anxiety disorder treatment may reduce impulsivity, non-suicidal self-injury, and binge eating/purging in people with anxiety disorders.

PRACTITIONER POINTS

Many patients with anxiety disorders experience mood instability, which is associated with impulsivity, non-suicidal self-injury, and binge eating/purging. Treating mood instability alongside anxiety may help reduce impulsivity, non-suicidal self-injury, and binge eating/purging in people with anxiety disorders.

Mood Instability and Trait Anxiety as Distinct Components of Eysenckian Neuroticism With Differential Relations to Impulsivity and Risk Taking

This article presents the results of 2 studies that investigated mood instability in the Eysenck neuroticism scales and its relationship to trait impulsivity and risk taking. In Study 1 we examined the relationship between a mood instability factor in the Eysenck Personality Inventory and impulsivity (i.e., rapid unplanned behavior) in a general population sample of 6,066 adults. The mood instability factor was positively correlated with impulsivity. The remaining factors, largely reflecting trait anxiety, were also positively correlated with impulsivity, although these correlations disappeared when mood instability was included in the same regression model. In Study 2 we factor analyzed the short form of the revised Eysenck Personality Questionnaire to isolate mood instability and trait anxiety factors and explore their associations with risk taking in a general population sample of 394,170 adults 40 to 69 years old. The mood instability factor was positively associated with risk taking, whereas the association for the trait anxiety factor was negative. Taken together, the results suggest that mood instability and trait anxiety are separable components of Eysenckian neuroticism and that mood instability is the main component that is positively associated with trait impulsivity and risk taking. Further research is needed to clarify the factor structure of Eysenckian neuroticism.

DSM-5 section III personality traits and section II personality disorders in a Flemish community sample

The Personality Inventory for DSM-5 (PID-5; Krueger et al., 2012) is a dimensional self-report questionnaire designed to measure personality pathology according to the criterion B of the DSM-5 Section III personality model. In the current issue of DSM, this dimensional Section III personality model co-exists with the Section II categorical personality model derived from DSM-IV-TR. Therefore, investigation of the inter-relatedness of both models across populations and languages is warranted. In this study, we first examined the factor structure and reliability of the PID-5 in a Flemish community sample (N=509) by means of exploratory structural equation modeling and alpha coefficients. Next, we investigated the predictive ability of section III personality traits in relation to section II personality disorders through correlations and stepwise regression analyses. Results revealed a five factor solution for the PID-5, with adequate reliability of the facet scales. The variance in Section II personality disorders could be predicted by their theoretically comprising Section III personality traits, but additional Section III personality traits augmented this prediction. Based on current results, we discuss the Section II personality disorder conceptualization and the Section III personality disorder operationalization.

Personality disorders and violence: what is the link?

Despite a well-documented association between personality disorders (PDs) and violence, the relationship between them is complicated by the high comorbidity of mental disorders, the heterogeneity of violence (particularly in regard to its motivation), and differing views regarding the way PDs are conceptualised and measured. In particular, it remains unclear whether there is a causal relationship between PDs and violence, and what the psychological mechanisms might be that mediate such a relationship. Here, a perspective on PD and violence is offered that views the relationship between them through the lenses of the Five Factor Model of personality and a quadripartite typology of violence. Evidence is reviewed suggesting that emotion dysregulation/impulsiveness, psychopathy, and delusional ideation conjointly contribute to the increased risk of violence shown by people with PD, and do so by contributing to a broad severity dimension of personality dysfunction. This view is consistent with the abandonment of personality disorder categories in the forthcoming eleventh edition of the International Classification of Diseases (ICD-11), where severity of personality disorder is defined in terms of the degree of harm to self and others.