Title |
Problem Gambling in Adolescents: An Examination of the Pathways Model
|
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Published in |
Journal of Gambling Studies, June 2012
|
DOI | 10.1007/s10899-012-9322-0 |
Pubmed ID | |
Authors |
Rina Gupta, Lia Nower, Jeffrey L. Derevensky, Alex Blaszczynski, Neda Faregh, Caroline Temcheff |
Abstract |
This research tests the applicability of the Integrated Pathways Model for gambling to adolescent problem gamblers, utilizing a cross-sectional design and self-report questionnaires. Although the overall sample consisted of 1,133 adolescents (Quebec: n = 994, 87.7 %; Ontario: n = 139, 12.3 %: Male = 558, 49.5 %; Female = 569, 50.5 %), only problem gamblers were retained in testing the model (N = 109). Personality and clinical features were assessed using the Millon Adolescent Clinical Inventory, attention deficit hyperactivity (ADHD) using the Conners-Wells' Adolescent Self-Report Scale, and the DSM-IV-MR-J and Gambling Activities Questionnaire to determine gambling severity and reasons for gambling. Latent class analysis concluded 5 classes, yet still provided preliminary support for three distinct subgroups similar to those proposed by the Pathways Model, adding a depression only subtype, and a subtype of problem gamblers experiencing both internalizing and externalizing disorders. ADHD symptoms were found to be common to 4 of the 5 classes. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 2% |
United Kingdom | 1 | <1% |
New Zealand | 1 | <1% |
Spain | 1 | <1% |
Greece | 1 | <1% |
Unknown | 111 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 18% |
Researcher | 16 | 14% |
Student > Master | 16 | 14% |
Student > Doctoral Student | 11 | 9% |
Student > Bachelor | 8 | 7% |
Other | 28 | 24% |
Unknown | 17 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 55 | 47% |
Social Sciences | 14 | 12% |
Medicine and Dentistry | 13 | 11% |
Economics, Econometrics and Finance | 2 | 2% |
Business, Management and Accounting | 2 | 2% |
Other | 12 | 10% |
Unknown | 19 | 16% |