Estimated verbal IQ and the odds of problem gambling: a population-based study

Personality Traits Predict Non-Substance Related and Substance Related Addictive Behaviours

Abstract: Aims: To examine whether personality traits predict the course of addictive behaviours in general and whether predictive associations differ between non-substance related (NR) and substance related (SR) addictive behaviours. Methodology: We recruited 338 individuals (19–27 y, 59 % female) from a random community sample with NR, SR, or no DSM-5 addictive disorder. Predictors were the Big Five personality traits (NEO-FFI) and reward and punishment sensitivity (BIS/BAS questionnaire). Outcomes were the slopes of addictive behaviours (i. e., quantity, frequency, and number of DSM-5 criteria) over three years. Bayesian multiple regressions were used to analyse the probabilities for each hypothesis. Results: The evidence that higher neuroticism, lower conscientiousness, lower agreeableness, higher extraversion, lower openness, higher reward sensitivity, and lower punishment sensitivity predict increased addictive behaviours over time was, overall, moderate to high (69 % to 99 %) and varied by trait and outcome. Predictive associations were mostly higher for NR compared with SR addictive behaviours. Conclusions: Personality traits predict the course of addictive behaviours, but associations were only about half as large as expected. While some personality traits, such as lower conscientiousness, predict increases in both NR and SR addictive behaviours over time, others, such as lower punishment sensitivity, seem to specifically predict increases in NR addictive behaviours.

Gambling-Specific Cognitions Are Not Associated With Either Abstract or Probabilistic Reasoning: A Dual Frequentist-Bayesian Analysis of Individuals With and Without Gambling Disorder

BACKGROUND

Distorted gambling-related cognitions are tightly related to gambling problems, and are one of the main targets of treatment for disordered gambling, but their etiology remains uncertain. Although folk wisdom and some theoretical approaches have linked them to lower domain-general reasoning abilities, evidence regarding that relationship remains unconvincing.

METHOD

In the present cross-sectional study, the relationship between probabilistic/abstract reasoning, as measured by the Berlin Numeracy Test (BNT), and the Matrices Test, respectively, and the five dimensions of the Gambling-Related Cognitions Scale (GRCS), was tested in a sample of 77 patients with gambling disorder and 58 individuals without gambling problems.

RESULTS AND INTERPRETATION

Neither BNT nor matrices scores were significantly related to gambling-related cognitions, according to frequentist (MANCOVA/ANCOVA) analyses, performed both considering and disregarding group (patients, non-patients) in the models. Correlation Bayesian analyses (bidirectional BF10) largely supported the null hypothesis, i.e., the absence of relationships between the measures of interest. This pattern or results reinforces the idea that distorted cognitions do not originate in a general lack of understanding of probability or low fluid intelligence, but probably result from motivated reasoning.

Gambling in Young Adults Aged 17-24 Years: A Population-Based Study

A large contemporary UK cohort study, the Avon Longitudinal Study of Parents and Children, was used to investigate gambling behavior and to explore the antecedents of regular gambling in the 17–24-year age group. Participants completed computer-administered gambling surveys in research clinics, on paper, and online. The sample sizes were 3566 at age 17 years, 3940 at 20 years, and 3841 at 24 years; only 1672 completed all three surveys. Participation in gambling in the last year was reported by 54% of 17-year-olds, rising to 68% at 20 years, and 66% at 24 years, with little overall variance. Regular (weekly) gambling showed a strong gender effect, increasing among young men from 13% at 17 years to 18% at 20 years, and 17% at 24 years. Although gambling frequency increased between the ages of 17 and 20 years, gambling behaviors showed little variance between 20 and 24 years, except online gambling and betting on horseraces. The commonest forms of gambling were playing scratchcards, playing the lottery, and private betting with friends. Gambling on activities via the internet increased markedly between 17 and 24 years, especially among males. In the fully adjusted model, individual antecedents of regular gambling were being male, and having a low IQ, an external locus of control, and high sensation seeking scores. Parental gambling behavior and maternal educational background were associated with regular gambling in both sexes. Regular gambling was associated with smoking cigarettes and frequent and harmful use of alcohol, but no associations with depression were found.

The influence of chronological age on cognitive biases and impulsivity levels in male patients with gambling disorder

BACKGROUND AND AIMS

Due to the contribution of age to the etiology of gambling disorder (GD), there is a need to assess the moderator effect of the aging process with other features that are highly related with the clinical profile. The objective of this study is to examine the role of the chronological age into the relationships between cognitive biases, impulsivity levels and gambling preference with the GD profile during adulthood.

METHODS

Sample included n = 209 patients aged 18-77 years-old recruited from a Pathological Gambling Outpatients Unit. Orthogonal contrasts explored polynomial patterns in data, and path analysis implemented through structural equation modeling assessed the underlying mechanisms between the study variables.

RESULTS

Compared to middle-age patients, younger and older age groups reported more impairing irrational beliefs (P = 0.005 for interpretative control and P = 0.043 for interpretative bias). A linear trend showed that as people get older sensation seeking (P = 0.006) and inability to stop gambling (P = 0.018) increase. Path analysis showed a direct effect between the cognitive bias and measures of gambling severity (standardized effects [SE] between 0.12 and 0.17) and a direct effect between impulsivity levels and cumulated debts due to gambling (SE = 0.22).

CONCLUSION

Screening tools and intervention plans should consider the aging process. Specific programs should be developed for younger and older age groups, since these are highly vulnerable to the consequences of gambling activities and impairment levels of impulsivity and cognitive biases.

Psychosocial correlates in treatment seeking gamblers: Differences in early age onset gamblers vs later age onset gamblers

BACKGROUND

Age of onset is an important factor in the development and trajectory of psychiatric disorders; however, little is known regarding the age of onset in relation to disordered gambling in treatment seeking samples in the UK. Utilising a large residential treatment seeking gambler cohort, the current study examined the relationship between age of gambling onset and a range of variables thought to be associated with disordered gambling.

METHOD

Data were collected from 768 gamblers attending residential treatment for disordered gambling. Individuals were grouped per the age they started gambling as either a child (≤12), adolescent (13-15), or young adult/adult (≤16). Data were analysed using linear, backward stepwise, and multinomial logistic regressions to identify significant relationships between age of onset and variables of theoretical significance.

RESULTS

Results indicate the younger age of gambling onset was associated with increased gambling severity. Those who began gambling at an earlier age were more likely to have abused drugs or solvents, committed an unreported crime, been verbally aggressive and experienced violent outbursts. They are less likely to report a positive childhood family environment and are more likely to have had a parent with gambling and/or alcohol problems.

DISCUSSION

Gamblers who began gambling at an earlier age experience negative life events and exhibit some antisocial behaviors more than later onset gamblers, indicating that when addressing gambling behavior, it is important to consider the developmental trajectory of the disorder, rather than merely addressing current gambling behavior. However, the direction of the relationship between gambling and significant variables is in some instance unclear, indicating a need for further research to define causality.

Association between intelligence quotient and violence perpetration in the English general population

BACKGROUND

Data on the relationship between intelligence quotient (IQ) and violence perpetration are scarce and nationally representative data from the UK adult population is lacking. Therefore, our goal was to examine the relationship between IQ and violence perpetration using nationally representative community-based data from the UK.

METHODS

We analyzed cross-sectional data from the 2007 Adult Psychiatric Morbidity Survey. IQ was estimated using the National Adult Reading Test (NART). Violence perpetration referred to being in a physical fight or having deliberately hit anyone in the past 5 years. We conducted logistic regression analysis to assess the association between IQ (exposure variable) and violence perpetration (outcome variable).

RESULTS

There were 6872 participants aged ⩾16 years included in this study. The prevalence of violence perpetration decreased linearly with increasing IQ [16.3% (IQ 70-79) v. 2.9% (IQ 120-129)]. After adjusting for demographic and behavioral factors, childhood adversity, and psychiatric morbidity, compared with those with IQ 120-129, IQ scores of 110-119, 100-109, 90-99, 80-89, and 70-79 were associated with 1.07 [95% confidence interval (CI) 0.63-1.84], 1.90 (95% CI 1.12-3.22), 1.80 (95% CI 1.05-3.13), 2.36 (95% CI 1.32-4.22), and 2.25 (95% CI 1.26-4.01) times higher odds for violence perpetration, respectively.

CONCLUSIONS

Lower IQ was associated with violence perpetration in the UK general population. Further studies are warranted to assess how low IQ can lead to violence perpetration, and whether interventions are possible for this high-risk group.

The association between problem gambling and psychotic experiences: Findings from the Adult Psychiatric Morbidity Survey 2007

BACKGROUND

Studies on the association between psychotic experiences (PEs) and problem gambling are lacking. Thus, we examined the association between PEs and problem gambling in the general UK population.

METHODS

This study used community-based, cross-sectional data from the 2007 Adult Psychiatric Morbidity Survey (APMS) (n = 7403). Ten items from the DSM-IV criteria and the British Gambling Prevalence Survey studies were used to ascertain problem gambling among individuals who gambled in the past 12 months. Respondents were classified as no problem (0 criteria), at-risk (1 or 2 criteria) and problem gambling (≥3 criteria). Past 12-month PE was assessed with the Psychosis Screening Questionnaire. Multivariable logistic regression models were constructed to assess the association between gambling status (exposure variable) and PE (outcome variable).

RESULTS

The final sample consisted of 7363 people aged ≥16 years with no definite or probable psychosis [mean (SD) age 46.4 (18.6) years; 51.2% females]. The prevalence of PE in those with no problem, at-risk, and problem gambling were 5.1%, 11.1%, and 29.7%, respectively. In the model adjusted for sociodemographics, common mental disorders and risky health behaviors, at-risk (OR = 1.88; 95% CI: 1.11-3.19) and problem gambling (OR = 4.64; 95% CI: 1.78-12.13) were associated with an increased odds for PE.

CONCLUSION

Problem gambling and PE tend to co-exist. Further research is needed to gain a better understanding of the mechanisms that underlie the association observed.

Relationship between attention-deficit hyperactivity disorder symptoms and problem gambling: A mediation analysis of influential factors among 7,403 individuals from the UK

BACKGROUND AND AIMS

Our goal was to examine the association between attention-deficit hyperactivity disorder (ADHD) symptoms and gambling problems, and to identify potential mediating factors of this association.

METHODS

This study used cross-sectional, community-based data from 7,403 people aged ≥16 years who participated in the Adult Psychiatric Morbidity Survey 2007. ADHD symptoms were assessed using the Adult ADHD Self-Report Scale (ASRS) Screener. Problem gambling was assessed using a questionnaire based on the 10 DSM-IV diagnostic criteria for pathological gambling. Respondents were classified as having no problem, at-risk, or problem gambling. Logistic regression and mediation analyses were conducted to analyze the association between ADHD symptoms (i.e., ASRS score ≥14) and problem gambling and the role of several variables in this association.

RESULTS

The prevalence of at-risk (5.3% vs. 2.4%) and problem gambling (2.4% vs. 0.6%) was higher in individuals with ADHD symptoms than in those without ADHD symptoms. ADHD symptoms were significantly associated with both at-risk (OR = 2.15; 95% CI = 1.22-3.79) and problem gambling (OR = 3.57; 95% CI = 1.53-8.31) when adjusted for age, sex, and ethnicity. Common mental disorders (CMDs; i.e., depression and anxiety disorders) (mediated percentage = 22.4%), borderline personality disorder (BPD) traits (22.1%), stressful life events (13.2%), stress at work or home (12.6%), alcohol dependence (11.8%), and impulsivity (11.2%) were significant mediators in the ADHD-gambling association.

DISCUSSION AND CONCLUSIONS

Overall, ADHD symptoms were positively associated with problem gambling. CMDs, BPD traits, and stressful life events were important mediators in this relationship.

Attention deficit hyperactivity disorder symptoms and disordered eating in the English general population

OBJECTIVE

Attention deficit hyperactivity disorder (ADHD) symptoms and eating problems often coexist, but many of the previous studies have not taken into account key variables which may be important in this association. Thus, the goal of this study was to assess the association between ADHD symptoms and disordered eating, while taking into account of a variety of factors.

METHOD

This study used cross-sectional, nationally representative data from 7,403 people aged ≥16 years from England who participated in the 2007 Adult Psychiatric Morbidity Survey (APMS). ADHD symptoms were assessed with the Adult ADHD Self-Report Scale (ASRS) Screener. Questions from the five-item SCOFF screening instrument were used to identify possible ED. Multivariable logistic regression analyses were conducted.

RESULTS

The prevalence of possible eating disorder (ED) was much higher among those with ADHD symptoms (ASRS score ≥14) compared to those without ADHD symptoms (19.2 vs. 5.7%). ADHD symptoms were associated with possible ED (odds ratio [OR] = 3.48; 95% confidence interval [CI] = 2.56-4.72) after adjustment for age, sex, and ethnicity. After further adjustment for alcohol dependence, drug use, intelligence quotient, stressful life events, perceived stress, impulsivity, depression, anxiety disorder, and borderline personality disorder (BPD) traits, the OR was attenuated to 1.32 (95% CI = 0.82-2.13). Anxiety and BPD were the factors that led to the largest degree of attenuation.

DISCUSSION

A high prevalence of disordered eating in individuals with ADHD was observed. Factors such as co-existing anxiety and BPD traits may be particularly important in this association. Future research should focus on the factors involved in the association between ADHD symptoms and disordered eating behavior.