Pathological gambling among high school students

Lesieur, Henry R.; Klein, Robert H.

doi:10.1016/0306-4603(87)90019-0

Cited by 202 publications

(89 citation statements)

References 4 publications

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“…The DSM-IV diagnostic criteria have demonstrated satisfactory reliability, validity and classification accuracy (Stinchfield, 2003). The use of the DSM-IV as an index for pathological gambling is well established, both in the general population and in gambling treatment samples Lesieur & Klein, 1987;Lesieur & Rosenthal, 1991;Petry, 2005;Stinchfield, 2002;Wood & Griffiths, 1998); it is highly correlated with other gambling measures (e.g., South Oaks Gambling Screen) (Cox, Enns & Michaud, 2004;Stinchfield, 2002Stinchfield, , 2003, though with fewer false positives (Shaffer, Hall & Vander Bilt, 1997;Stinchfield, 2002).…”

Section: Problem Gambling Screenmentioning

confidence: 99%

Internet gambling and risk-taking among students: An exploratory study

McBride¹,

Derevensky²

2012

Journal of Behavioral Addictions

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Background and aims:Internet gambling is undergoing a massive worldwide expansion. The relationship between the convenience, anonymity, and the 24-hour availability of Internet gambling and problem gambling in young people presents a serious concern. This study explored general gambling behavior, including Internet gambling (with and without money), problem gambling, and risk-approach motivation in a sample of university students aged 18 to 20 years. Methods: University undergraduates (N = 465) in two urban universities completed in-class paper-and-pencil questionnaires concerning Internet gambling, risk taking, and a checklist of the DSM-IV criteria for problem gambling. Results: Overall, 8.0% of participants reported past-year gambling for money on the Internet, with significantly higher rates among males (11.8%) than females (0.6%). Based on DSM-IV criteria, 3.7% of respondents were classified as problem gamblers (i.e., endorsed 3 or more items). There were higher rates of problem gambling among those who had gambled on the Internet, and students who had gambled on the Internet had higher risk-approach scores. Conclusions: The results of this study suggest that students who have gambled on the Internet have greater risk-taking motivation than students who have not gambled online, and those classified as problem gamblers have greater risk-taking motivation than non-gamblers. Results also suggest both higher risk taking scores and classification as a high risk-taker predict online gambling. Gambling on the Internet may be harmful for some individuals; young males, those with high risk-approach motivation, and, most certainly, those already exhibiting problem gambling behaviors.

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Section: Problem Gambling Screenmentioning

confidence: 99%

Internet gambling and risk-taking among students: An exploratory study

McBride¹,

Derevensky²

2012

Journal of Behavioral Addictions

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“…States (e.g., Lesieur & Klein, 1987;Shaffer & Hall, 1996Volberg & Moore, 1999), Canada (e,g., Gupta & Derevensky, 1998;Ladouceur, Dube, & Bujold, 1994;Ladouceur & Mireault, 1988;Wynne et al, 1996) and Australia (e,g., Delfabbro, Lahn, & Grabosky, 2005;Delfabbro & Thrupp, 2003;Moore & Ohtsuka, 1997), as well as many European countries including the United Kingdom, Belgium, Spain, Norway, Sweden, Italy, Iceland, Finland, Denmark, Slovakia, Estonia, Lithuania and Romania (see Volberg, et al for a comprehensive review of these). Moreover, in support of these findings, research involving adult populations has consistently shown that the highest levels of gambling involvement and problem gambling are usually observed in younger age cohorts (18-30 years) (Delfabbro & LeCouteur, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…The typical results of studies involving adolescents show that between 60-80% of young people aged 13-17 years gamble at least once per year and that around 3-5% of young people report behaviours indicative of pathological gambling with activities such as private card games, sports-betting and instant lotteries found to be most common 1 Derevensky, Gupta, & Winters, 2003;Fisher, 1992;Lesieur & Klein, 1987;Shaffer & Hall, 1996;Volberg, et al, 2010;Winters, Stinchfield, & Kim, 1993). These behaviours include: chasing losses, a preoccupation with gambling, overlooking important commitments (e.g., friendships, schoolwork and/or hobbies), to continue gambling despite negative consequences, lying to friends or family about the extent of their gambling, becoming irritable if unable to gamble, frequently borrowing money and/or using lunch/bus money to fund gambling, and criminal behaviour such as stealing to get funds for gambling (Griffiths, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Apart from the growing awareness of the prevalence of gambling in this age group, adolescent pathological and problem gambling has also been of interest because it is known to be linked with other developmental problems such as increased involvement in risk-taking behaviours, reduced educational performance (Gupta & Derevensky, 1998;Fisher, 1995Fisher, , 1999Ladouceur & Mireault, 1988;Lesieur & Klein, 1987), as well as poorer psychosocial adjustment (Dickson, Derevensky & Gupta, 1999;Hardoon, Gupta, & Derevensky, 2004;Jacobs, 1987;Stinchfield, 2000). Adolescents with gambling problems have been found to have higher rates of delinquent behaviours including petty criminal behaviour and truancy (Fisher, 1992(Fisher, , 1993Griffiths & Sutherland, 1998;Gupta & Derevensky, 1998;Shaffer & Korn, 2002;Yeoman & Griffiths, 1996).…”

Section: Introductionmentioning

confidence: 99%

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From Adolescent to Adult Gambling: An Analysis of Longitudinal Gambling Patterns in South Australia

2013

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Although there are many cross-sectional studies of adolescent gambling, very few longitudinal investigations have been undertaken. As a result, little is known about the individual stability of gambling behaviour and the extent to which behaviour measured during adolescence is related to adult behaviour. In this paper, we report the results of a 4-wave longitudinal investigation of gambling behaviour in a probability sample of 256 young people (50% male, 50% female) who were interviewed in 2005 at the age of 16-18 years and then followed through to the age of 20-21 years. The results indicated that young people showed little stability in their gambling. Relatively few reported gambling on the same individual activities consistently over time. Gambling participation rates increased rapidly as young people made the transition from adolescence to adulthood and then were generally more stable.Gambling at 15-16 years was generally not associated with gambling at age 20-21 years. These results highlight the importance of individual-level analyses when examining gambling patterns over time.

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“…While there is limited scientific research on the mechanism of the socialization process of gambling (Griffiths, 1995), there is over-whelming anecdotal, qualitative, and correlational evidence that parental gambling is related to the child's future gambling (Browne & Brown, 1993;Custer, 1983;Govoni, 1996;Griffiths, 1990;Gupta & Derevensky, 1997;Enders, Hira, & Miller, 1998;Jacobs, 1989;Lesieur & Klein, 1987;Lesieur, Blume & Zoppa, 1986;Lorenz & Shuttlesworth, 1983;Winters, Stinchfîeld & Fulkerson, 1993). Enders, Hira, & Miller (1998) conducted focus groups with gamblers and found that parents were involved both in introducing children to gambling and in maintaining gambling behavior.…”

Section: Gender and Gambling Factorsmentioning

confidence: 99%

Early family experiences and the financial behavior of college students: the impact of gender and gambling

Miller

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This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer.The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction.In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion.Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps.

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Pathological gambling among high school students

Cited by 202 publications

References 4 publications

Internet gambling and risk-taking among students: An exploratory study

Internet gambling and risk-taking among students: An exploratory study

From Adolescent to Adult Gambling: An Analysis of Longitudinal Gambling Patterns in South Australia

Early family experiences and the financial behavior of college students: the impact of gender and gambling

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