Child and Adolescent Gambling Behavior: Current Knowledge
By K. Hardoon, Jeffrey L. Derevensky. 2002
174 citations recorded by the source corpus.
Subfields: Clinical Psychology, General Health Professions
View Paper: https://www.semanticscholar.org/paper/51c84236248289aa93cf6e78109622c9dde487c6
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In Clinical Psychology
In General Health Professions
Citations in the corpus
- Internet Gambling and Problem Gambling Among 13 to 18 Year Old Adolescents in Iceland (2011, background): “International Centre for Youth Gambling and High-Risk Behaviors, McGill University, Montreal, Quebec, Canada experience symptoms and negative consequences of pathological gambling ( Hardoon and Derevensky 2002; National Research Council 1999; Shaffer and Hall 1996).”
- Parental influences and social modelling of youth lottery participation (2003, background): “Moreover, gambling has become a well-established recreational form of entertainment for youth as well as adults (Gupta & Derevensky, 1998; Hardoon & Derevensky, 2002; Jacobs, 2000; Stinchfield, 2000).”
- A Treatment Approach for Adolescents with Gambling Problems (2005, background): “The empirical knowledge of the correlates and risk-factors associated with adolescent problem gambling has been described in more detail elsewhere (Derevensky & Gupta‚ 2004; Griffiths & Wood‚ 2000; Hardoon & Derevensky‚ 2002; Stinchfield‚ in this volume).”
- Youth Gambling Problems: Examining Risk and Protective Factors (2008, background): “Several comprehensive reviews have outlined the extensive research efforts that have recently been undertaken to identify and understand the correlates and risk factors associated with adolescent problem gambling (Derevensky and Gupta, 2004; Hardoon and Derevensky, 2002).”
- Adolescent Gambling Behaviour and Attitudes: A Prevalence Study and Correlates in an Australian Population (2008, background): “Gupta and Derevensky (1998b) found that excitability and dissociation were the best predictors of problem gambling for boys, and that depression, dissociation, and ‘upper’ drug use were the best predictors for girls.”