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Despite increased awareness of the need to begin educating young children about the potential dangers of gambling, empirical knowledge of the prevention of adolescent problem gambling and its translation into science-based prevention initiatives is scarce. This paper poses the question of whether or not the common elements of tobacco, alcohol, and illicit drug abuse prevention programs can be applied to gambling prevention. Common risk and protective factors across addictions, including gambling, appear to point to the need to develop a general model of primary, secondary, and tertiary prevention. The authors present the need for science-based prevention initiatives and describe a general adolescent risk-taking model as a basis for science-based prevention of adolescent problem gambling and other risk behaviors.

Despite the negative impact that problem gambling poses on individuals and society there have been few gambling prevention campaigns specifically targeting youth. The authors review the literature on past and current drug, alcohol, and tobacco use prevention media campaigns, examining the similarities across 25 health communication programs with the aim of viewing their applicability for the prevention of youth problem gambling. Critical features of effective campaigns are identified and assessed in terms of their applicability for youth problem gambling. Recommendations for the design, implementation, and evaluation of a youth gambling media campaign are discussed.

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Data were collected for 1998 middle/high-school students in Ontario to assess involvement in gambling, substance use, and generalized risky behavior. To predict these outcomes, measures for anxiety, family cohesion, and coping style were also administered. Three a-priori models were posited to account for the impact of risk factors, protective factors, and combined risk/protective factors on the development of risky behaviors. A high-risk cohort composed of subjects endorsing at least one risky behavior (gambling, substance use, or generalized risky behavior) within the clinical range was created to test an unobserved outcome variable created from all three measures of risky behavior, which was successfully predicted by two of the three a-priori models. Implications for the inclusion of gambling within a constellation of high-risk behaviors and recommendations for future prevention efforts are discussed.