The value of impulsivity to define subgroups of addicted individuals differing in personality dysfunction, craving, psychosocial adjustment, and wellbeing: A latent class analysis

High impulsivity is common to substance and gambling addictions. Despite these commonalities, there is still substantial heterogeneity on impulsivity levels within these diagnostic groups, and variations in impulsive levels predict higher severity of symptoms and poorer outcomes. We addressed the question of whether impulsivity scores can yield empirically driven subgroups of addicted individuals that will exhibit different clinical presentations and outcomes. We applied latent class analysis (LCA) to trait (UPPS-P impulsive behavior scale) and cognitive impulsivity (Stroop and d2 tests) scores in three predominantly male addiction diagnostic groups: Cocaine with Personality Disorders, Cocaine Non-comorbid, and Gambling and analyzed the usefulness of the resulting subgroups to differentiate personality beliefs and relevant outcomes: Craving, psychosocial adjustment, and quality of life. In accordance with impulsivity scores, the three addiction diagnostic groups are best represented as two separate classes: Class 1 characterized by greater trait impulsivity and poorer cognitive impulsivity performance and Class 2 characterized by lower trait impulsivity and better cognitive impulsivity performance. The two empirically derived classes showed significant differences on personality features and outcome variables (Class 1 exhibited greater personality dysfunction and worse clinical outcomes), whereas conventional diagnostic groups showed non-significant differences on most of these measures. Trait and cognitive impulsivity scores differentiate subgroups of addicted individuals with more versus less severe personality features and clinical outcomes.

A cross-sectional examination of non-suicidal self-injury, disordered eating, impulsivity, and compulsivity in a sample of adult women

Non-suicidal self-injury has been classed as having both impulsive and compulsive characteristics (Simeon & Favazza, 2001). These constructs have been related to disordered eating behaviors such as vomiting (Favaro & Santonastaso, 1998). Utilizing an international sample of adult females, this paper further explored this model, aiming to identify whether all types of disordered eating could be classified as impulsive or compulsive, and whether the impulsive and compulsive groupings reflect underlying trait impulsivity and compulsivity. The hypothesized impulsive and compulsive dimensions did not emerge from the data. Notably however, all self-injurious and disordered eating behaviors were linked to Urgency (an impulsivity facet) to varying degrees; no relationship with trait compulsivity was found. These findings are discussed, study limitations are noted, and relevance for clinical practice is outlined.

High impulsivity as a risk factor for the development of internalizing disorders in detained juvenile offenders

Background : Whilst impulsivity is most commonly linked to the development of internalizing disorders, high levels of impulsivity, anxiety, and depression have been found in detained juvenile offenders. We therefore sought to determine whether impulsivity is associated with the development of self-reported anxiety or depression in a sample of detained juvenile offenders.

Methods : 323 male juvenile offenders and 86 typically developing controls, aged 15–17 were assessed. The Schedule for Affective Disorder and Schizophrenia for School-Age Children Present and Lifetime (SADS-PL) was used to assess psychiatric diagnoses, the Barratt Impulsivity Scale (BIS-11) was used to measure impulsivity, and the Screen for Child Anxiety Related Emotional Disorders (SCARED) and the Birleson Depression Self-Rating Scale (DSRS) were used to assess self-reported anxiety and depression respectively.

Results : Compared to controls, juvenile offenders had significantly higher scores on the BIS-11 total, as well as on the motor and nonplanning subscales (all p values <0.001), as well as higher DSRS (p < 0.001) and SCARED (p < 0.05) scores. Within the juvenile offender group, scores on the SCARED correlated positively with BIS-11 total, attention subscale, motor subscale, and total DSRS (all p values <0.01). DSRS scores correlated positively with BIS-11 total, attention subscale, nonplanning subscale, and total SCARED scores (all p values <0.01). Participants were then categorized low, middle or high impulsivity according to scores on the BIS-11. One-way ANOVAs demonstrated a significant difference between these tertiles on DSRS [F(2,320) = 4.862, p < 0.05] and SCARED total scores [F(2,320) = 3.581, p < 0.05]. Specifically, post-hoc analyses found that the high impulsivity tertile scored significant higher than the remaining tertiles on both DSRS (16.1 ± 0.3 vs. 14.0 ± 0.6, p < 0.05) and SCARED (23.3 ± 0.9 vs. 18.4 ± 1.4, p < 0.05) scores. Using multiple linear regression, BIS-11 attention scores, number of months served in custody, age, and BIS-11 nonplanning scores predicted higher levels of anxiety, whilst only BIS-11 attention and nonplanning scores predicted higher levels of depression.

Conclusions : In detained juvenile offenders, high impulsivity may be an important risk factor not only for the externalizing disorders, but also for anxiety and depression. Results of this study, therefore, suggest that specific facets of impulsivity may represent one mechanism underlying the emergence of anxiety and depression in this population.

Anxiety, depression, impulsivity and substance misuse in violent and non-violent adolescent boys in detention in China

The present investigation aims to identify the factors which differentiate violent from non-violent juvenile offenders, with a particular emphasis on the association between internalizing psychiatric morbidity (i.e. anxiety and depression), impulsivity, substance misuse, and violence. A total of 323 incarcerated male juvenile offenders from one of three Youth Detention Centers (YDCs) in China were recruited between August 2007 and November 2008. Interviews were conducted by trained psychiatrists using the Barratt Impulsivity Scale (BIS-11), the Screen for Child Anxiety Related Emotional Disorders (SCARED), and the Birleson Depression Self-Rating Scale (DSRS) to assess impulsivity, anxiety and depression, respectively. The Schedule for Affective Disorder and Schizophrenia for School-Age Children Present and Lifetime (K-SADS-PL) was also used to assess psychiatric diagnoses. Violent offenders had significantly higher BIS-11 total scores, and attention and nonplanning subscale scores (p<0.05). In the multiple logistic regression model, substance use disorders (SUD) and BIS-11 total scores independently predicted violence. Prison-based treatment services designed to reduce impulsivity and substance misuse in juvenile detention facilities should be prioritized.

Compensatory Health Beliefs Predict Maladaptive Coping, Impulsivity, and Erroneous Health Perceptions

Compensatory Health Beliefs (CHB) are a common strategy used to reduce the cognitive discomfort that arises from participating in recognizably unhealthy behaviors. The current research examines relationships between CHB and other cognitive variables. Data was collected in two phases, using survey methodology. Study 1 explored relationships between the use of CHB, impulsiveness, and coping styles. Study 2 expanded the inquiry by exploring relationships to health perception and knowledge. Results revealed that participants who scored high on overall CHB were more likely to: engage in maladaptive coping strategies (r = .47, p < .01) [including avoidant coping styles (r = .38, p < .01) and unhealthy coping styles (r = .47, p < .01)], score higher on measures of impulsivity (r = .43, p < .01), be well-informed about their general health (r =-.21, p < .05), eat fast food more often ( r = p < .05), and consider it safe to smoke more frequently (r = .18, p < .05). Participants with lower CHB scores considered themselves more well-informed about their general health (r = -.21, p < .05), including understanding the minimum recommended amounts of physical activity needed to maintain health (r = -.35, p < .01 ), and knowing the health risks of stress ( r = -.19, p < .05). In addition, maladaptive coping was positively correlated with lack of general health knowledge (r = -.22 p < .01), less understanding of the risks of stress and alcohol (r = .20, p < .05), less knowledge of the recommended daily amounts of physical activity needed for health (r = -.26, p < .01), less frequent exercise (r = -.26, p < .01 ), and generally more unhealthy daily habits (r = -.26, p < .01). These findings contribute to a new area of investigation and may be useful to those who want to motivate behavior change.

A Sib-Pair analysis of impulsivity in bipolar disorder type I

OBJECTIVE: The aim of this study was to compare impulsivity among patients with bipolar disorder, their siblings, and healthy controls in order to examine whether impulsivity in bipolar disorder is related to genetic liability for the illness. METHODS: Using the Barratt Impulsiveness Scale, we assessed 204 subjects: 67 euthymic outpatients with bipolar disorder type I, 67 siblings without bipolar disorder, and 70 healthy controls. RESULTS: Impulsivity scores were higher among patients with bipolar disorder than among healthy controls. Siblings showed higher motor impulsivity scores than did healthy controls. CONCLUSIONS: Our results suggest that motor impulsivity may be a vulnerability marker for bipolar disorder. Our data may contribute to further improve preventive strategies in subjects at high risk for bipolar disorder.

Attentional blink and impulsiveness: evidence for higher functional impulsivity in non-blinkers compared to blinkers

The attentional blink (AB) represents a fundamental limit of information processing. About 5-10 % of all subjects, however, do not show the AB. Because of the low base rate of these so-called non-blinkers, studies on mechanisms underlying non-blinkers' absent AB are extremely scant. The few existent studies found non-blinkers to be faster and more efficient in information processing compared to blinkers. A personality trait that has been linked previously to speed and efficiency of information processing as well as to the magnitude of the AB is impulsivity. Therefore, the present study investigated whether 15 non-blinkers and 15 blinkers differed from each other in functional and/or dysfunctional impulsivity. To obtain a better understanding of the underlying processing mechanisms, the P300 component in the event-related potential was recorded during performance on the AB task. Our results indicated higher functional impulsivity in non-blinkers compared to blinkers but no differences between the two groups in dysfunctional impulsivity. As indicated by shorter P300 latency, non-blinkers processed information faster than blinkers after the AB period but slower during the AB period. These speed effects, however, were not associated with functional impulsivity. Thus, impulsivity and speed of information processing appear to represent two rather independent sources for non-blinkers' absent AB

Aggression, impulsivity and serotonin in drug dependence

Aggression, impulsivity, and central serotonergic function were evaluated in two groups of human volunteers; one group having a history of substance dependence (DRUG+) and another group with no drug use history (DRUG$-$). The hypothesis was that DRUG+ subjects would be more aggressive, more impulsive, and have attenuated serotonergic function. Results showed that DRUG+ subjects behaved more aggressively in a computer paradigm of aggression and also reported more aggression on questionnaires than DRUG$-$ subjects. In a computer paradigm of impulsivity, the DRUG+ group showed a lesser ability to delay gratification than the DRUG$-$ group in the last session of testing. The DRUG+ subjects also reported more venturesomeness and problems associated with low impulse control on questionnaires. Serotonergic function was measured through the neuroendocrine and hypothermic response to an orally administered serotonin (5-HT) agonist specific to the 5-HT$\rm\sb{1A}$ receptor subtype (ipsapirone). The neuroendocrine responses did not differ between DRUG$\pm$ groups, indicating no difference in the sensitivity of the presynaptic or postsynaptic 5-HT$\rm\sb{1A}$ receptors. An unexpected result was that the indicator hormone, cortisol, was at a lower baseline level in the DRUG+ group than the DRUG$-$ group. Lowered cortisol levels have been previously noted in children at high risk foul antisociality and future drug use. A principal components analysis including impulsivity, aggression, and serotonergic function measures produced three unique factors. The factors, Antisocial Tendency and Self-Control and Serotonergic Function combined to produce a significant regression equation explaining 36% of variability in the DRUG$\pm$ groups. These factors included measures of aggression, impulsivity, mood, and educational attainment. These results suggest that the current measures of aggression and impulsivity were predictive of a drug dependence disorder but that neuroendocrine function is not yet a useful indicator of drug dependence status. ^

Relationships of impulsivity and physical fighting history to alcohol -induced aggression in women

Research suggests women respond to the aggression-inducing effects of alcohol in a manner similar to men. Highly aggressive men are more prone to alcohol-induced aggression, but this relationship is less clear for women. This study examined whether alcohol consumption would differentially affect laboratory-measured aggression in a sample of aggressive and non-aggressive women and how those differences might be related to components of impulsive behavior. In 39 women recruited from the community (two groups: with and without histories of physical fighting) ages 21–40, laboratory aggressive behavior was assessed following placebo and 0.80 g/kg alcohol consumption (all women experienced both conditions). Baseline laboratory impulsive behavior of three impulsivity models was later assessed in the same women. In the aggression model (PSAP), participants were provoked by periodic subtractions of money, which were blamed on a fictitious partner. Aggression was operationalized as the responses the participant made to subtract money from that partner. The three components of impulsivity that were tested included: (1) response initiation (IMT/DMT), premature responses made prior to the completion of stimulus processing, (2) response inhibition (GoStop), a failure to inhibit an already initiated response, and (3) consequence sensitivity (SKIP and TCIP), the choice for a smaller-sooner reward over a larger-later reward. I hypothesized that, compared to women with no history of physical fighting, women with a history of physical fighting would exhibit higher rates of alcohol-induced laboratory aggression and higher rates of baseline impulsive responding (particularly for the IMT/DMT), which would also be related to the alcohol-induced increases aggression. Consistent with studies in men, the aggressive women showed strong associations between laboratory aggression and self-report measures, while the non-aggressive women did not. However, unlike men, following alcohol consumption it was the non-aggressive women's laboratory aggression that was related to their self-reports of aggression and impulsivity. Additionally, response initiation measures of impulsivity distinguished the two groups, while response inhibition and consequence sensitivity measures did not; commission error rates on the IMT/DMT were higher in the aggressive women compared to the non-aggressive women. Regression analyses of the behavioral measures showed no relationship between the aggression and impulsivity performance of the two groups. These results suggest that the behavioral (and potentially biological) mechanism underlying aggressive behavior of women is different than that of men. ^

Modeling the relationships between adult attachment patterns and borderline personality disorder: The role of impulsivity and aggressiveness

To obtain a better understanding of the associations among Borderline Personality Disorder (BPD), adult attachment patterns, impulsivity, and aggressiveness, we tested four competing models of these relationships: a) BPD is associated with the personality traits of impulsivity and aggressiveness, but adult attachment patterns predict neither BPD nor impulsive/aggressive features; b) adult attachment patterns are significant predictors of BPD but not of impulsive/aggressive traits, although these traits correlate with BPD; c) adult attachment patterns are significant predictors of impulsive and aggressive traits, which in turn predict BPD; and d) adult attachment patterns significantly predict both BPD and impulsive/aggressive traits. We assessed 466 consecutively admitted outpatients using the Structured Clinical Interview for DSM-IV Axis II Personality Disorders (V. 2.0), the Attachment Style Questionnaire, the Barratt Impulsiveness Scale-11, and the Aggression Questionnaire. Maximum likelihood structural equation modeling of the covariance matrix showed that model (c) was the best fitting model (chi(2) (21) = 31.67, p >.05, RMSEA = .023, test of close fit p >.85). This result indicates that adult attachment patterns act indirectly as risk factors for BPD because of their relationships with aggressive/impulsive personality traits.