Convergence between GNAT‐assessed implicit and explicit personality

Two studies investigated the characteristics and correlates of implicit personality measures provided by the Go/No‐Go Association Task (GNAT), a variant of the Implicit Association Test (IAT). Extraversion was assessed in Study 1, and all Big‐Five factors in Study 2. Of interest were the convergent validity of the measures with explicit personality and their reliability. The results demonstrate that the GNAT metric (d') is reliable, and has convergent validity, only when systematic variance in the GNAT indices is controlled. We also provide preliminary evidence for the predictive utility of GNAT indices of implicit extraversion and neuroticism by examining their ability to predict reaction times. The results suggest that this task provides a promising method for assessing implicit personality. Copyright © 2007 John Wiley & Sons, Ltd.

Predictors of gambling and problem gambling in Victoria, Australia

In 2016, the gambling habits of a sample of 3361 adults in the state of Victoria, Australia, were surveyed. It was found that a number of factors that were highly correlated with self-reported gambling frequency and gambling problems were not significant predictors of gambling frequency and problem gambling. The major predictors of gambling frequency were the degree to which family members and peers were perceived to gamble, self-reported approval of gambling, the frequency of discussing gambling offline, and the participant's Canadian Problem Gambling Severity Index (PGSI) score. Age was a significant predictor of gambling frequency for certain types of gambling (e.g. buying lottery tickets). Approximately 91% of the explainable variance in the participant's PGSI score could be explained by just five predictors: Positive Urgency; Frequency of playing poker machines at pubs, hotels or sporting clubs; Participation in online discussions of betting on gaming tables at casinos; Frequency of gambling on the internet, and Overestimating the chances of winning. Based on these findings, suggestions are made as to how gambling-related harm can be reduced.

Borderline personality disorder features: the role of self-discrepancies and self-complexity

OBJECTIVES

Borderline personality disorder (BPD) involves disordered self-conceptions, along with dysphoria and anxiety. The present study examined the role of actual-ideal (AI) and actual-ought (AO) self-discrepancies, and self-complexity as predictors of borderline personality features in a student population.

METHOD

AI and AO self-discrepancy magnitudes across all self-domains were assessed, along with self-complexity, idiographically and nomothetically. Borderline personality features were assessed using subscales of the Minnesota Multiphasic Personality Inventory (MMPI-2).

RESULTS

Both AI and AO self-discrepancies were directly related to BPD personality features, in that those with larger self-discrepancies of both types reported more features. Self-complexity had no direct relationship to BPD personality features; rather, it moderated the relationship between AI, but not AO, self-discrepancies and BPD personality features. For individuals low in self-complexity, a stronger relationship between AI self-discrepancies and BPD personality features existed.

CONCLUSIONS

This study is novel in its consideration of the impact of features of the self-system on BPD personality features. It highlights the important role that AO self-discrepancies, and the combined role of AI self-discrepancies and self-complexity, have in increasing vulnerability to BPD. The findings suggest that different pathways might be involved in the vulnerability to BPD, depending on self-discrepancy type and level of self-complexity.

Borderline personality disorder features: the role of self-discrepancies and self-complexity

OBJECTIVES

Borderline personality disorder (BPD) involves disordered self-conceptions, along with dysphoria and anxiety. The present study examined the role of actual-ideal (AI) and actual-ought (AO) self-discrepancies, and self-complexity as predictors of borderline personality features in a student population.

METHOD

AI and AO self-discrepancy magnitudes across all self-domains were assessed, along with self-complexity, idiographically and nomothetically. Borderline personality features were assessed using subscales of the Minnesota Multiphasic Personality Inventory (MMPI-2).

RESULTS

Both AI and AO self-discrepancies were directly related to BPD personality features, in that those with larger self-discrepancies of both types reported more features. Self-complexity had no direct relationship to BPD personality features; rather, it moderated the relationship between AI, but not AO, self-discrepancies and BPD personality features. For individuals low in self-complexity, a stronger relationship between AI self-discrepancies and BPD personality features existed.

CONCLUSIONS

This study is novel in its consideration of the impact of features of the self-system on BPD personality features. It highlights the important role that AO self-discrepancies, and the combined role of AI self-discrepancies and self-complexity, have in increasing vulnerability to BPD. The findings suggest that different pathways might be involved in the vulnerability to BPD, depending on self-discrepancy type and level of self-complexity.

Overdose in young people using heroin: associations with mental health, prescription drug use and personal circumstances

OBJECTIVE

To identify patterns of mental health, prescription drug use and personal circumstances associated with heroin overdose in young people.

DESIGN

Linkage of data on use of Pharmaceutical Benefits Scheme (PBS) prescription drugs with data from a self-report questionnaire.

SETTING

Inner metropolitan Melbourne, Australia.

SUBJECTS

163 young people, 15-30 years, using heroin.

MAIN OUTCOME MEASURES

Personal circumstances, mental health (as measured by various scales), and PBS-listed prescription drug use.

RESULTS

Young people using heroin reported high rates of feelings of hopelessness, depression, antisocial behaviour, self-harm and diagnosed mental illness. A prior history of overdose was associated with previous mental illness, which in turn was associated with being female, having poor social support, being dissatisfied with relationships, and living alone or in temporary accommodation. While feelings of hopelessness and antisocial behaviour were strongly associated with overdose history, the number of PBS prescription drugs used had a very strong relationship with overdose, particularly benzodiazepines, other opioids, tricyclic antidepressants and tranquillisers.

CONCLUSIONS

Further research to explore causal relationships between prescription drugs and heroin overdose is warranted. Improved data linkage to PBS records for general practitioners may facilitate safer prescribing practices.