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1.
PLoS One ; 14(1): e0209277, 2019.
Article in English | MEDLINE | ID: mdl-30673709

ABSTRACT

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.


Subject(s)
Gambling , Adolescent , Adult , Aged , Aged, 80 and over , Behavior, Addictive/epidemiology , Behavior, Addictive/etiology , Behavior, Addictive/psychology , Female , Gambling/epidemiology , Gambling/etiology , Gambling/psychology , Humans , Linear Models , Male , Middle Aged , Risk Factors , Self Report , Surveys and Questionnaires , Victoria/epidemiology , Young Adult
2.
J Pers Assess ; 97(6): 626-37, 2015.
Article in English | MEDLINE | ID: mdl-25970300

ABSTRACT

Narcissistic Personality Inventory (NPI) items typically have a forced-choice format, comprising a narcissistic and a nonnarcissistic statement. Recently, some have presented the narcissistic statements and asked individuals to either indicate whether they agree or disagree that the statements are self-descriptive (i.e., a binary response format) or to rate the extent to which they agree or disagree that these statements are self-descriptive on a Likert scale (i.e., a rating response format). The current research demonstrates that when NPI items have a binary or a rating response format, the scale has a bifactor structure (i.e., the items load on a general factor and on 6 specific group factors). Indexes of factor strength suggest that the data are unidimensional enough for the NPI's general factor to be considered a measure of a narcissism latent trait. However, the rating item general factor assessed more narcissism components than the binary item one. The positive correlations of the NPI's general factor, assessed when items have a rating response format, were moderate with self-esteem, strong with a measure of narcissistic grandiosity, and weak with 2 measures of narcissistic vulnerability. Together, the results suggest that using a rating format for items enhances the information provided by the NPI.


Subject(s)
Models, Psychological , Narcissism , Personality Disorders/diagnosis , Self Concept , Adolescent , Adult , Female , Humans , Male , Personality Disorders/psychology , Personality Inventory , Psychometrics , Young Adult
3.
Psychol Psychother ; 79(Pt 3): 309-21, 2006 Sep.
Article in English | MEDLINE | ID: mdl-16945194

ABSTRACT

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.


Subject(s)
Borderline Personality Disorder/diagnosis , Self Concept , Adolescent , Adult , Borderline Personality Disorder/psychology , Culture , Emotions , Female , Humans , MMPI , Male , Students/psychology
4.
Med J Aust ; 181(S7): S25-8, 2004 10 04.
Article in English | MEDLINE | ID: mdl-15462639

ABSTRACT

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.


Subject(s)
Heroin Dependence/epidemiology , Heroin/adverse effects , Mental Disorders/epidemiology , Adolescent , Adult , Age Distribution , Drug Overdose , Drug Prescriptions , Female , Humans , Life Style , Logistic Models , Male , Mental Disorders/diagnosis , Probability , Registries , Risk Assessment , Sex Distribution , Socioeconomic Factors , Surveys and Questionnaires , Survival Rate , Urban Population , Victoria/epidemiology
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