Problem Gambling Flashcards
Requirements for getting diagnosed with a gambling disorder
- At least 4 of the following 9 criteria:
- Pre-occupied with gambling
- Needs to gamble with increasing amounts (tolerance)
- Repeated attempts to reduce or quit gambling
- Restless or irritable when attempting to stop gambling (withdrawal)
- Gambles as means of escape or to alleviate low mood
- Frequently returns to get even (loss chasing)
- Lies to conceal involvement
- Jeopardised / lost relationship or job due to gambling
- Forced to borrow money due to gambling debt
- Not better explained by manic episode
all gambling disorder criterion items are not equal: examples
- Ex. Loss chasing is too sensitive, and too many non-problem gamblers endorse it
- Ex. Illegal acts (which has now been dropped) is insensitive, and is only endorsed by gamblers who already meet diagnosis
- Ex. Withdrawal symptoms is just right
research on withdrawal
- Wray and Dickerson (1981) found psychological withdrawal symptoms from gambling were common
- Rosenthal and Lesieur (1992) found 2/3 gamblers reported more than 1 somatic withdrawal symptom
evidence for re-classification
- DSM-5 task force cited 5 lines of evidence that make people with gambling addiction look like people with substance abuse disorders:
- Symptom hallmarks (withdrawal, tolerance)
- Comorbidities
- Shared heritability/genetics
- Neuroimaging/neurocognitive similarities
- Effective treatments
assessments of problem gambling
- DSM diagnosis involves a face-to-face interview with a clinician
- We need short, self-report instruments for problem gambling:
- ex. South Oaks Gambling Screen
- ex. Problem gambling severity index
South Oaks gambling screen
- Based on DSM-III
- Probable pathological gambling score >5
- Uses lifetime statements (“have you ever…”)
Problem gambling severity index
- Becoming “gold standard” measure
- Just asks about the last year of your life (“In the past 12 months…”)
- Uses rankings from 0 (never) to 3 (almost always), total scores
- 1-2 = low-risk
- 3-7 = moderate risk
- 8+ = problem gambling
- Limitation: very reliant on money –> time could also be an indicator of problem gambling
prevalence data: worldwide
- Problem gamblers (those who don’t quite meet threshold for psychiatric diagnosis) tend to be about 3-4% of population worldwide
- Pathological gamblers tend to be 1-3% of population worldwide
- However, Australia’s rates are higher
accessibility vs. adaptation
- As gambling access increases, rates of problem gambling typically rise –> “accessibility”
- But in Canada, rates are now dropping –> is society adapting to gambling expansion and increased availability?
gambling regulation and gambling harms
- A “sweet spot” exists between prohibiting gambling and unregulated expansion –> regulation can typically keep harms under control
- The U-shaped curve
Prevalence data: British Columbia
- 72.5% of British Columbians gamble
- 61% of people who’ve gambled in the last year are classified (based on PGSI) as non-problem
- 27% are non-gamblers
- 8% are low-risk problem gamblers
- 3% are moderate problem gamblers
- 1% are high-risk problem gamblers
- 2008 prevalence survey showed 4.6% problem gamblers, so rate of PG may have dropped
demographic predictors of gambling in prevalence surveys
- problem gamblers more like to be:
- male
- younger age
- lower SES
- belong to ethnic minority (ie. First Nations)
- experience other mental health problems
comorbidity and problem gambling
- Pathological gambling 0.6%
- People with 1+ symptom of problem gambling 2.3%
- Substance use disorders, anxiety disorders, mood disorders most prevalent in this populations
temporal ordering
Anxiety & Mood Disorders often occur before the gambling problem -> Gambling to cope / escape negative emotions?
age when gambling started
- Problem gamblers tend to be involved in gambling much earlier than everyone else –> often during teenage years
- Before age 21 (legal US age), 80% of problem gamblers have already started
- Gambling Disorder – as well as drug addictions – can be regarded as developmental disorders
genes or environment? Results of Vietnam war veteran twin study
- 1.4% had problem gambling; 6% had subclinical levels
- Problem gambling heritability: 40-50% (estimated from MZ-DZ disparity)
- Overlap in genetics of PG and alcohol dependence: 12-20%
- Leaves 50-60% responsibility from environment
environmental risk factors for gambling
- Exposure to parental gambling in childhood/adolescence
- Stronger than effects of gambling alone
- Stronger for paternal gambling
- Childhood adversity
- In youth pathological gamblers, 20% reported physical abuse, 18% sexual abuse
- In adult sample, 61% reported childhood maltreatment
- Critical role of gene x environment interactions
neurocognitive changes
- Problem gamblers were unimpaired on Wisconsin Card Sort task (measure of executive function)
- However, show deficiencies in things like Iowa gambling task (as previously discussed)
fMRI of reward in problem gambling
- Task: picking cards randomly, if you get red you win money, if you get black you lose money
- Win-related activity in healthy group shows huge brain response; response is significantly weaker in group with gambling problems (use name network, but activation low)
- This is correlated with how severe their gambling problem was
fMRI to natural rewards
- Straight men given cue indicating whether they’re about to get a monetary or erotic reward
- Study of how quickly they respond to cues -> control group responds similarly to money and erotic rewards; gamblers respond faster to monetary cues (money matters more to them)
- Activation of ventral striatum only activated for money in problem gamblers; but activated for money and erotic rewards in control
Dopamine binding (Volkow)
reduced dopamine D2 binding in drug abusers preferring various different substances
gambling in parkinson’s disease
- Dopamine agonist meds can trigger excessive gambling
- Most linked to 2 drugs: pramipexole & ropinirole, that bind to D3 receptors
- Constellation with other impulse control / reward problems (hypersexuality, shopping)
3 main points
- Gambling Disorder has both genetic and environmental risk factors
- Cognitive and brain imaging data indicate:
- involvement of vmPFC and ventral striatum
- similarities with Substance Use Disorders (but also some differences, e.g. drugs can have additional toxic effects)
- Complex evidence for both reward deficiency and incentive salience as key theories from drug addiction