Literature DB >> 19247819

How do gamblers end gambling: longitudinal analysis of Internet gambling behaviors prior to account closure due to gambling related problems.

Ziming Xuan1, Howard Shaffer.   

Abstract

OBJECTIVE: To examine behavioral patterns of actual Internet gamblers who experienced gambling-related problems and voluntarily closed their accounts.
DESIGN: A nested case-control design was used to compare gamblers who closed their accounts because of gambling problems to those who maintained open accounts.
SETTING: Actual play patterns of in vivo Internet gamblers who subscribed to an Internet gambling site. PARTICIPANTS: 226 gamblers who closed accounts due to gambling problems were selected from a cohort of 47,603 Internet gamblers who subscribed to an Internet gambling site during February 2005; 226 matched-case controls were selected from the group of gamblers who did not close their accounts. Daily aggregates of behavioral data were collected during an 18-month study period. MAIN OUTCOME MEASURES: Main outcomes of interest were daily aggregates of stake, odds, and net loss, which were standardized by the daily aggregate number of bets. We also examined the number of bets to measure trajectory of gambling frequency.
RESULTS: Account closers due to gambling problems experienced increasing monetary loss as the time to closure approached; they also increased their stake per bet. Yet they did not chase longer odds; their choices of wagers were more probabilistically conservative (i.e., short odds) compared with the controls. The changes of monetary involvement and risk preference occurred concurrently during the last few days prior to voluntary closing.
CONCLUSIONS: Our finding of an involvement-seeking yet risk-averse tendency among self-identified problem gamblers challenges the notion that problem gamblers seek "long odds" during "chasing."

Entities:  

Mesh:

Year:  2009        PMID: 19247819     DOI: 10.1007/s10899-009-9118-z

Source DB:  PubMed          Journal:  J Gambl Stud        ISSN: 1050-5350


  16 in total

1.  Definition and measurement of chasing in off-course betting and gaming machine play.

Authors:  John O'Connor; Mark Dickerson
Journal:  J Gambl Stud       Date:  2003

2.  Betting your life on it.

Authors:  Mark Griffiths
Journal:  BMJ       Date:  2004-11-06

3.  Pathological gambling is linked to reduced activation of the mesolimbic reward system.

Authors:  Jan Reuter; Thomas Raedler; Michael Rose; Iver Hand; Jan Gläscher; Christian Büchel
Journal:  Nat Neurosci       Date:  2005-01-09       Impact factor: 24.884

4.  The medial frontal cortex and the rapid processing of monetary gains and losses.

Authors:  William J Gehring; Adrian R Willoughby
Journal:  Science       Date:  2002-03-22       Impact factor: 47.728

5.  Sensation seeking and pathological gambling.

Authors:  A P Blaszczynski; A C Wilson; N McConaghy
Journal:  Br J Addict       Date:  1986-02

6.  The role of autonomic arousal in problem gambling.

Authors:  L Sharpe; N Tarrier; D Schotte; S H Spence
Journal:  Addiction       Date:  1995-11       Impact factor: 6.526

7.  The compulsive gambler's spiral of options and involvement.

Authors:  H R Lesieur
Journal:  Psychiatry       Date:  1979-02       Impact factor: 2.458

8.  Real and laboratory gambling, sensation-seeking and arousal.

Authors:  G Anderson; R I Brown
Journal:  Br J Psychol       Date:  1984-08

9.  Random-effects models for longitudinal data.

Authors:  N M Laird; J H Ware
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

10.  Assessing the playing field: a prospective longitudinal study of internet sports gambling behavior.

Authors:  Richard A LaBrie; Debi A LaPlante; Sarah E Nelson; Anja Schumann; Howard J Shaffer
Journal:  J Gambl Stud       Date:  2007-06-17
View more
  19 in total

1.  Internet poker websites and pathological gambling prevention policy.

Authors:  Yasser Khazaal; Anne Chatton; Audrey Bouvard; Hiba Khiari; Sophia Achab; Daniele Zullino
Journal:  J Gambl Stud       Date:  2013-03

2.  How do gamblers start gambling: identifying behavioural markers for high-risk internet gambling.

Authors:  Julia Braverman; Howard J Shaffer
Journal:  Eur J Public Health       Date:  2010-01-27       Impact factor: 3.367

3.  Self-exclusion as a harm minimization strategy: evidence for the casino sector from selected European countries.

Authors:  Tobias Hayer; Gerhard Meyer
Journal:  J Gambl Stud       Date:  2011-12

4.  Gamblers' habits: empirical evidence on the behavior of regulars, newcomers and dropouts.

Authors:  Ingo Fiedler
Journal:  J Gambl Stud       Date:  2013-06

5.  A descriptive analysis of demographic and behavioral data from Internet gamblers and those who self-exclude from online gambling platforms.

Authors:  Simo Dragicevic; Christian Percy; Aleksandar Kudic; Jonathan Parke
Journal:  J Gambl Stud       Date:  2015-03

6.  Venue staff knowledge of their patrons' gambling and problem gambling.

Authors:  Paul Delfabbro; Mignon Borgas; Daniel King
Journal:  J Gambl Stud       Date:  2012-06

7.  Predictability in Pathological Gambling? Applying the Duplication of Purchase Law to the Understanding of Cross-Purchases Between Regular and Pathological Gamblers.

Authors:  Desmond Lam; Richard Mizerski
Journal:  J Gambl Stud       Date:  2017-06

Review 8.  Online Gambling Addiction: the Relationship Between Internet Gambling and Disordered Gambling.

Authors:  Sally M Gainsbury
Journal:  Curr Addict Rep       Date:  2015-04-11

9.  "Show Me the Money": Preliminary Lessons from an Implementation of Intervention Tools at the Payment Gateway Level.

Authors:  Nathan Lakew
Journal:  J Gambl Stud       Date:  2021-03-24

10.  Low trait self-control in problem gamblers: evidence from self-report and behavioral measures.

Authors:  Anne E Bergen; Ian R Newby-Clark; Andrea Brown
Journal:  J Gambl Stud       Date:  2012-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.