Relationships between online gambling, mental health, and substance use: A review

Cyberpsychology, Behavior, and Social Networking

Volumn 15, Issue 12, 2012, Pages 688-692

  Scholes Balog, Kirsty E ^a   Hemphill, Sheryl A ^a  

^a AUSTRALIAN CATHOLIC UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADDICTION; GAMBLING; HIGH RISK BEHAVIOR; HUMAN; INTERNET; MENTAL DISEASE; MENTAL HEALTH; PSYCHIATRIC DIAGNOSIS; PSYCHOLOGICAL ASPECT; REVIEW;

DIAGNOSIS, DUAL (PSYCHIATRY); GAMBLING; HUMANS; INTERNET; MENTAL DISORDERS; MENTAL HEALTH; RISK-TAKING; SUBSTANCE-RELATED DISORDERS;

EID: 84871101324     PISSN: 21522715     EISSN: 21522723     Source Type: Journal    
DOI: 10.1089/cyber.2012.0232     Document Type: Review

References (21)

1. Productivity Commission. (2010) Gambling. www.pc.gov.au/projects/inquiry/ gambling-2009 (accessed September 2012).
2. H2 Gambling Capital. (2011) New H2 eGaming dataset now available. http://www.h2gc.com/news.php?article =New+H2+ eGaming + Dataset +Now+Available (accessed September 2011).
3. King D, Delfabbro P, Griffiths M. The convergence of gambling and digital media: Implications for gambling in young people. Journal of Gambling Studies 2011; 26:175-187.
4. Griffiths M, Wardle H, Orford J, et al. Internet gambling, health, smoking and alcohol use: findings from the 2007 British Gambling Prevalence Survey. International Journal of Mental Health and Addiction 2011; 9:1-11.
5. Monaghan S. (2009) A critical review of the impact of internet gambling (Report to the Australiasian Gaming Council). www.austgamingcouncil.org.au/ images/pdf/discussion-papers/ (accessed September 2012).
6. Corney R, Davis J. The attractions and risks of internet gambling for women: a qualitative study. Journal of Gambling Studies 2010; 24:121-139.
7. Lorains FK, Cowlishaw S, Thomas SA. Prevalence of comorbid disorders in problem and pathological gambling: a systematic review and meta-analysis of population surveys. Addiction 2011; 106:491-498.
8. Centre for Reviews and Dissemination. (2008) Systematic reviews: CRD's guidance for undertaking reviews in health care. York: Centre for Reviews and Dissemination, University of York.
9. Petry NM. Internet gambling: an emerging concern in family practice medicine? Family Practice 2006; 23:421-426.
10. Petry NM, Weinstock J. Internet gambling is common in college students and associated with poor mental health. The American Journal on Addictions 2007; 16:325-330.
11. Wood RTA, Griffiths MD, Parke J. Acquisition, development and maintenance of online poker playing in a student sample. Cyberpsychology and behavior 2007; 10:354-361.
12. Hopley AAB, Nicki RM. Predictive factors of excessive online poker playing. Cyberpsychology and behavior 2010; 13:379-385.
13. Matthews N, Farnsworth B, Griffiths MD. A pilot study of problem gambling among student online gamblers: mood states as predictors of problematic behavior. Cyberpsychology and Behavior 2009; 12:741-745.
14. Hopley AAB, Dempsey K, Nicki RM. Texas Hold'em online poker: a further examination. International Journal of Mental Health and Addiction 2011; 10:563-572.
15. Lloyd J, Doll H, Hawton K, et al. Internet gamblers: a latent class analysis of their behaviors and health experiences. Journal of Gambling Studies 2010; 26:387-399.
16. Barrault S, Varescon I. Psychopathology in online pathological gamblers: a preliminary study. L'Encephale 2011; 38: 156-163.
17. McBride J, Derevensky JL. Internet gambling behavior in a sample of online gamblers. International Journal of Mental Health and Addiction 2009; 7:149-167.
18. Potenza MN, Wareham JD, Steinberg MA, et al. Correlates of at-risk/problem internet gambling in adolescents. Journal of the American Academy of Child and Adolescent Psychiatry 2011; 50:150-159.
19. Neumark Y, Bar-Hamburger R. Volatile substance misuse among youth in Israel: results of a national school survey. Substance Use and Misuse 2011; 43:21-26.
20. Shaffer HJ, Hall MN, Vander Bilt J. (1997) Estimating the prevalence of disordered gambling behavior in the United States and Canada: a meta-analysis. Boston: Presidents and Fellows of Harvard College.
21. Lowe B, Kroenke K, Herzog W, et al. Measuring depression outcome with a brief self-report instrument: sensitivity to change of the Patient Health Questionnaire (PHQ-9). Journal of Affective Disorders 2004; 81:61-66.