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Background Overall participation in gambling activities by older - - PDF document

3/13/2016 Center for Gambling Studies Problem Gam bling Am ong Older Adults: Prevalence, Etiology, and Treatm ent Lia Nower, JD, PhD, Professor and Director, Center for Gambling Studies, Rutgers University, School of Social Work Center


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Problem Gam bling Am ong Older Adults: Prevalence, Etiology, and Treatm ent

Lia Nower, JD, PhD, Professor and Director, Center for Gambling Studies, Rutgers University, School of Social Work Center for Gambling Studies

Background

  • Overall participation in gambling activities by
  • lder adults is increasing.
  • 1975: 35% of adults 65 and over gambled in

lifetime (Kallick et al., 1976)

  • 2001: 81% of adults 51 to 60 gambled past

year (Welte et al., 2001)

– 12.6% gambled frequently – 3.3% problem/ pathological gamblers

  • 69% of those 61 and older gambled past year

– 10.2% gambled frequently – 1.2% problem/ pathological gamblers Center for Gambling Studies

Old Adults in Prim ary Care

  • Nearly 70% of 843 adults over 65 in

primary care setting gambled past year.

  • About 11% stated they either wagered

more than they could afford or more than $100 on a single bet (Levens et al, 2005)

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Hotline Callers

  • Of the 1,018 phone calls used in the

logistic regression analyses, 168 (16.5% )

  • Older adults were more likely to have

lower incomes, longer durations of gambling, fewer problem types of gambling, and problems with casino slot machine gambling. (Potenza et al, 2006)

Center for Gambling Studies

Risk Factors

Higher rates of PG found am ong older adults:

  • Earlier ages of onset, psychiatric comorbidity

(anxiety, substance use), poor health (Zai, 2006; Zaranek &

Chaplewski, 2005; Zaranak & Lichtenberg, 2008; Pilver et al, 2013)

  • Frequent buses to casinos (Bazargan, Bazargan, & Akanda, 2000)
  • Senior centers and bingo halls (Erickson et al, 2005)
  • Ethnic minorities and veterans (Levens, et al., 2005)

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Motivations

  • Easy access and availability
  • More disposable income and time
  • Loneliness and need for socialization
  • Inducements (meals, busses, events)
  • Improve cognitive functioning
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One Study

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Method

  • De-identified data-set of 1,601 gamblers

applying for self-exclusion in Missouri from Jan 01-Mar. 03

  • Completed application at one of 11

casinos or three Missouri Gaming Commission offices

  • Groupings: younger (18-35), middle ages

(36-55), older (56+ )

Sam ple

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Measures

  • Demographic characteristics: age at

application, household income, race employment, educational, marital status.

  • Gambling behavior: years spent

gambling, age of onset, forms of gambling.

  • Reasons for self-exclusion.
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Dem ographic Results

  • Age: Range 21 to 79 years
  • Women: 49.8%

Men: 50.2%

  • Women overrepresented among middle

aged and older adults

  • Younger adults: 30.6% (n= 804)
  • Middle-aged adults: 59.3% (n= 950)
  • Older adults: 10.1% (n= 161)

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Dem ographic Results

  • Older adults more likely than younger

adults to be married and less likely to be single.

  • Older adults more likely than both

younger and middle-aged adults to be widowed and less likely to be separated

  • r divorced.

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Gam bling Behaviors

  • Onset: Younger (20s), middle-aged (30s), older

(40s)

  • Women reported later age of onset than men;

among older adults, women initiated mean age 48.7 vs 37.7 for men.

  • Total years spent gambling increased with age:

Older adults gambled average of 17 years before self-excluding – more than twice the time for younger adults (7 years)

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Gam bling Activities at Onset

  • Older adults first gambled on slots

(72.2% ), lottery(32.3% ), video poker(24.2% ), and black jack(20.5% ) as did middle adults.

  • Younger adults gambled on an average of

four games: black jack (59.45), slots (65.9% ), video poker (33.9% ) and lottery (46.7% ).

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Past-Year Gam bling Activities

  • Older adults gambled on average of three

games (slots= 80.1% , lottery= 39.8% , video poker 35.4% ) as did middle adults (slots= 80.4% , lottery 47.7% , video poker= 42.2% )

  • Younger adults gambled on an average of

four games: black jack (59.45% ), slots (65.9% ), video poker (33.9% ) and lottery (46.7% ).

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Onset and Past-Year Form s by Age

Variables Younger adults ( n= 4 9 0 ) Middle Aged Adults ( n= 9 5 0 ) Older Adults ( n= 1 6 1 )

Onset Gam bling

n % n % n %

Strategic form s

120 24.5 124 13.1 21 13.0

Non-strategic form s

132 26.9 449 47.3 91 56.5

Mixed form s

238 48.6 347 36.5 47 29.2

Past-Year Gam bling Strategic gam bling only

95 19.4 54 5.7 9 5.6

Non-strategic gam bling only

121 24.7 491 51.7 95 59.0

Mixed gam bling

268 54.7 392 41.3 54 33.5

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Reasons for Self- Excluding

  • Older adults more likely than other

groups to indicate they self-excluded to prevent suicide (13.7% versus 6.7% of younger and 7.7% of middle-aged adults).

  • Older adults were less likely to self-

exclude because they hit rock bottom, recognized they needed help or wanted to save their marriage.

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Logistic Regression Results

  • Compared to younger adults, older adults were

more likely:

– To have gambled longer before self-exclusion. – To be married and/ or retired/ unemployed. – To express a strong preference for non-strategic forms

  • f gambling.

– They were nearly four times as likely to self-exclude in an effort to prevent suicide.

  • Compared to middle-aged adults, older adults

were more likely:

– To have gambled longer and/ or be unemployed. – They were nearly three times as likely to self-ban to prevent suicide. Center for Gambling Studies Predictors of Older Adult Self-Excluders

Variable

Older Adults vs. Younger Adults

B SE p value Odds ratio ( 9 5 % CI )

Years gam bled 0 .1 3 0 .0 2 < 0 .0 0 0 1 1 .1 4 ( 1 .1 0 , 1 .1 8 ) Married 0 .6 9 0 .2 9 < 0 .0 2 1 .9 9 ( 1 .1 2 , 3 .5 1 ) Not in w orkforce 1 .7 3 0 .3 1 < 0 .0 0 0 1 5 .6 5 ( 3 .0 6 , 1 0 .4 5 ) Past-year, non- strategic only 2 .3 6 0 .9 7 < 0 .0 2 1 0 .5 4 ( 1 .5 7 , 3 5 .6 6 ) Prevent suicide 1 .3 4 0 .4 7 < 0 .0 0 4 3 .8 2 ( 1 .5 3 , 9 .5 4 )

Older Adults vs. Middle-Aged Adults

Years gam bled 0 .0 4 0 .0 1 < 0 .0 0 0 1 1 .0 4 ( 1 .0 2 , 1 .0 6 ) Not in w orkforce 1 .4 4 0 .2 1 < 0 .0 0 0 1 4 .2 2 ( 2 .8 0 , 6 .3 6 ) Prevent suicide 0 .9 7 0 .3 2 < 0 .0 0 3 2 .6 3 ( 1 .3 9 , 4 .9 7 )

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I m plications

  • Older adults progressed from first gambling on

black jack as well as non-strategic forms to a clear preference for non-strategic forms of play (93% ), particularly slots and video poker.

  • Older adults feared suicide with continued

gambling.

– This is particularly troubling in light of higher suicide rates among both pgs and older adults, who are often reticent to access care. – Highlights need for targeted prevention, intervention and treatment services. Center for Gambling Studies

DSM 5 Criteria: Gam bling Disorder 3 1 2 .3 1

  • Tolerance ( increasing am ounts of m oney

to achieve desired excitem ent)

  • W ithdraw al ( restless or irritable w hen

attem pting to cut dow n or stop)

  • Loss of Control ( repeated, unsuccessful

efforts to control, cut back, or stop)

  • Escape ( often gam bles w hen feeling

distressed)

  • Chasing ( going back another day)
  • Lying ( concealing extent of involvem ent)
  • Lost relationships
  • Bailouts

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DI SORDERED GAMBLI NG

  • 1 9 8 0 -2 0 1 3 : I m pulse control disorder

characterized by the inability to cut back

  • r stop gam bling.
  • 1 .7 % of adults and 3 -5 % of youth m eet

clinical criteria for disorder.

  • 3 % of adults and 6 -8 % youth have

serious gam bling problem s that lead to adverse consequences: legal, fam ilial, psycho-social.

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PHASES OF DI SORDERED GAMBLI NG

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  • Big w in or series of sm aller w ins
  • Praise and recognition
  • I ncreasing desire to gam ble m ore

to “chase” the w in

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W inning Phase: play for excitem ent,

w in fuels m ore frequent play

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Phases of Disordered Gam bling: Losing Phase

  • I ncreased gam bling activity leads

to losses

  • Chasing losses to recoup m oney
  • I ncreased gam bling generating

m ore losses

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Losing Phase: I ncrease frequency

  • f bets to w in back lost funds

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Phases of Disordered Gam bling: Desperation Phase

  • Lying
  • Borrow ing from friends, fam ily
  • Crim inal activity ( stealing,

em bezzling, w riting bad checks)

  • Bankruptcy, unem ploym ent,

hom elessness

  • I ncreasing w ithdraw al, preoccupation

and m oodiness

  • Depression, hopeless and thoughts of

suicide

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Desperation Phase: engaging in crim inal

  • r other desperate acts to obtain m oney to gam ble

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The Pathw ays Model

Blaszczynski, A. & Nower, L. (2002). A Pathways Model of problem and pathological gambling. Addiction, 97, 487-500. Center for Gambling Studies

Pathw ays Model proposes that...

All problem gamblers not alike:

  • Three (or more) distinct pathways to problem

gambling

  • Gamblers in each pathway differ by presence or

absence of psycho-social, biological factors & behavioral manifestations

  • Gamblers in different pathways require different

treatment strategies for success

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Pathw ay 1 Problem Gam blers Ecological factors

Availability Accessibility Acceptability

Classical & Operant Conditioning

  • Arousal/excitement

Subjective excitement Physiological arousal

  • Erroneous Cognitions

Irrational Beliefs Illusions of control Biased evaluations

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Pathw ay 1 Problem Gam blers

Ecological factors

Availability, Accessibility Acceptability

Classical & Operant Conditioning

  • Arousal/excitement
  • Cognitive schemas

Classical & Operant Conditioning

  • Arousal/excitement
  • Cognitive schemas

Increasing involvement establishes habitual pattern of gambling behaviour. Occasional Frequent Regular/heavy

Chasing Losses & Problems

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Clinical Characteristics: Pathw ay 1 Problem Gam blers Dem ographics:

  • Gamble to achieve a sense of “belonging,” to combat

loneliness, to generate excitement, or to escape dysphoric mood states

  • Shorter period of excessive gambling
  • Problems less severe
  • Stable childhood & family history

Psychopathology

  • Absence of psychopathology
  • Depression/ anxiety: secondary to problem gambling
  • Substance abuse minimal: onset after gambling problems
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I dentifying Pathw ay 1 Gam blers

  • Screen for depression, anxiety, personality
  • factors. Fail to identify significant pathology

unrelated to gambling problems.

  • Perform psychosocial assessment. Fail to identify

significant pathology in family as well as issues of abuse, grief, loss.

  • Assess social support and stress-coping
  • strategies. Identify healthy social or

environmental support, active stress-coping.

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Treating Gam blers in Pathw ay 1

  • Cognitive-behavioral therapy and education to

dispel illogical “magical” thinking.

  • Focus on realistic appraisal of loss progression

and breaking through denial.

  • Involve supportive members of family and social

system in treatment.

  • Teach adaptive stress-coping styles and healthy

activities providing excitement and mental stimulation.

  • Conduct lethality assessment.

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Pathw ay 2 Problem Gam blers Ecological factors Conditioning

  • Arousal/excitement
  • Cognitive schemas

Vulnerability factors

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Pathw ay 2 Problem Gam blers Vulnerability factors

  • Childhood disturbance
  • Personality

Risk-taking, Seek sensation, escape Boredom proneness

  • Arousal levels

Hyper-arousal/anxious Hypo-arousal/depressed

  • Poor coping/problem solving skills

Life stresses Family discord Substance abuse

Ecological factors Conditioning

  • Arousal/excitement
  • Cognitive schemas

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Pathw ay 2 Problem Gam blers

Vulnerability factors

  • Childhood disturbance
  • Personality
  • Optimal levels of arousal
  • Poor coping/problem solving

skills

Ecological factors Conditioning

  • Arousal/excitement
  • Cognitive schemas

Pathological gambling: Emotional escape Excitement

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Clinical Characteristics: Pathw ay 2 Problem Gam blers

Demographics:

  • Dysfunctional/traumatic childhood, family
  • Situational stresses
  • Poor coping skills

Psychopathology:

  • Moderate psychopathology: neuroticism,

depression

  • Gambling & substance abuse = emotional escape

from aversive states of anxiety and/or depression

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I dentifying Pathw ay 2 Gam blers

  • Screen for depression, anxiety, personality
  • factors. Identify moderate pathology unrelated to

gambling problems.

  • Perform psychosocial assessment. Identify

family pathology, issues of neglect, abuse, grief, loss.

  • Assess social support and stress-coping
  • strategies. Identify lack of social or

environmental support, maladaptive coping strategies.

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Treating Gam blers in Pathw ay 2

  • Cognitive-behavioral therapy.
  • Confront denial.
  • Address issues of comorbidity (addiction, mental

health).

  • Use supportive therapy to heal losses and

address family issues.

  • Teach adaptive stress-coping styles and

problem-solving strategies.

  • Refer for psych eval. if appropriate.
  • Conduct lethality assessment.

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Pathw ay 3 Problem Gam blers

Ecological Factors Vulnerability factors Conditioning

  • Arousal/excitement
  • Cognitive schemas

Differential reward/punishment system

Associated behaviours Criminality, substance abuse, impaired relationships Problem Gambling

Biological Correlates

Biochemical

  • Serotonergic
  • Noradrenergic
  • Dopamine

Cortical

  • EEG differentials

Neuropsychological

  • Impulsivity
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Clinical Characteristics: Pathw ay 3 Problem Gam blers

Demographics:

  • Age: early onset problem gambling
  • Early history of family instability, abuse

and/ or neglect

  • High levels of impulsivity, anti-social

behavior Psychopathology

  • Elevated levels of psychopathology
  • Substance abuse
  • ADHD symptoms prominent
  • Broad spectrum of criminal behaviors

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I dentifying Pathw ay 3 Gam blers

  • Screen for depression, anxiety, personality
  • factors. Identify severe pathology

(personality, impulsivity, sensation- seeking, criminality).

  • Perform psychosocial assessment. Identify

severe family pathology, issues of neglect, abuse, grief, loss.

  • Assess social support and stress-coping
  • strategies. Identify lack of healthy social or

environmental support, maladaptive coping strategies.

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Treating Gam blers in Pathw ay 3

  • Cognitive-behavioral therapy.
  • Confront denial.
  • Address issues of comorbidity (addiction,

mental health).

  • Address fulfilment of narcissistic desires,

issues of meaning.

  • Teach adaptive stress-coping styles and

problem-solving strategies.

  • Refer for psych eval and med management.
  • Conduct lethality assessment.
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I ntegrated Model of Pathological Gam bling

Biological correlates

Coping styles Differential reward/punishment system Pathological gambling patterns established

Phenomenology:

  • Affective disturbance,

criminality, substance abuse, impaired relationships

Environment

Exposure Early wins Arousal/excitement Cognitive schemas Vulnerability factors

Blaszczynski, A. & Nower, L. (2002). A pathways model

  • f problem and pathological gambling. Addiction, 97,

487-499.

Center for Gambling Studies

Cognitive Techniques for Treatm ent Resistant Gam blers

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Main Reasons Gam blers Resist Treatm ent:

  • Denial
  • Gambling for Income or

Debt Relief

  • Irrational Thinking

– Biased Evaluation – “Gambler’s Fallacy” – Illusion of Control

  • Misunderstanding probability

and “near miss”

  • Gambling to feel important or

invisible – arousal – depression/self‐esteem

  • Gambling to Provide Meaning
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Types of Resistance

  • Active:

Client is involuntary and refuses to participate in words or actions.

  • Passive:

Client says s/ he wants help but fails to complete assignments or progress toward abstinence.

  • Combination: Client verbally suggests cognitive

breakthroughs and completes assignments but continues to gamble.

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Denial

  • Client denies:

– To continue gambling – To avoid confronting hopelessness – To avoid loss of an activity that provides excitement and escape

  • Counselor should:

– Request financial documentation – Explore monitored and controlled gambling – Request client keep cognitive rating of gambling situations log

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Financial Planning

  • Detail all expected income and expenses

– List income, living expenses, transportation expenses, food, childcare, education, medical miscellaneous

  • Detail all amounts owed to family, friends, loan

sharks, bookies, etc. – Resist gambler’s attempts to differentiate among debtors

  • Establish a budget
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Controlled Gam bling?

  • Controlled Gambling = limits on the

amount and time spent gambling

  • Appropriate first step for gamblers in

denial

  • Require specific amount and time per

week allowed

  • Agree that success or failure determines

feasibility

  • Solicit an outside monitor (spouse,

friend)

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Gam bling for I ncom e

  • Client believes

gam bling:

– Is an easy way to make money – Is an income- generator rather than a form of entertainment – Will provide status and power lacking in client’s life

  • Counselor should:

– Refer to financial record for objective view of “income” earned – Equate gambling with other forms of entertainment – Address issues of power and control in client’s life

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Gam bling for Debt Relief

  • Client believes

gam bling:

– Will solve ever- increasing money problems – Will make gambler a “hero” rather than a failure with family – Will provide quick fix for consequences of impulsivity and poor planning

  • Counselor should:

– Keep list of actual wins/ losses and challenge client’s perception based on actual percentages – Require client to formulate weekly debt repayment plan – Require client to establish a weekly savings plan

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ADDRESSING IRRATIONAL THINKING

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Biased Evaluation

  • Client tends to:

– Explain away losses and attribute winnings to skill, luck or a working system – Believe his/ her system is rational,

  • bjective and

predictable

  • Counselor

should:

– Identify the system and

  • bjective ways to

test it – Point out subjective determinants, relying on uncontrollable factors

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Gam bler’s Fallacy

  • Client believes:

– “The more I lose the better chance I have

  • f winning”

– Random events are somehow un- random – Past experience should guide future successes

  • Counselor should:

– Explain the reality of “randomness” – Discuss irrational superstitions – Educate client on the actualities of how machines work and the realities of probability and odds

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I llusion of Control

  • Client believes:

– He or she somehow has a “magical power” to control the gambling

  • utcome
  • Counselor should:

– Educate on the notion

  • f randomness: all

events are independent and, therefore, uncontrollable – Address issues of loss and control in client’s life (list of losses)

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PROBABI LI TY AND NEAR MI SS

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Educate the Client

  • Learn probabilities/ odds for various

games

  • Understand the workings of machines and

why a “near miss” is really just a miss.

  • Demonstrate the “unconnectedness” of

random events.

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GAMBLI NG TO FEEL I MPORTANT

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  • Client m ay:

– Equate winning with being a “winner” – Gamble for arousal

  • Counselor should:

– Address feelings of unimportance – Foster esteem-building – Address dysfunctional core beliefs – Teach progressive relaxation, imaginal desensitization WIN

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Gambling to Feel Invisible

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  • Client seeks:

– Escape from pain, loss, boredom – Dissociative experience

  • Counselor should:

– Conduct lethality assessment – Refer for psych eval. & med management, med check-up – Teach active, problem- focused stress coping skills

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GAMBLI NG FOR MEANI NG

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Logotherapy

  • Client:

– Seeks to supplement meaning in life through gambling – Lacks healthy priorities.

  • Counselor should:

– Assign Man’s Search for Meaning (Frankl) – Identify personal meaning – Explore issues of spirituality and transcendence that contradict the gambler’s desire to “play God”

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Conclusion

There is m uch m ore w ork to be done:

  • To identify older adult problem gam blers in

gam ing settings and to develop targeted intervention strategies.

  • To investigate the risk and resiliency

factors that aid in prevention, intervention and treatm ent efforts.

  • To develop educational program s in senior

centers to address erroneous gam bling- related cognitions and other factors that lead to problem gam bling.

Center for Gambling Studies

email: lnower@rutgers.edu http://gambling.rutgers.edu http://www.lianower.com @KnowDice