| Title |
Alexithymia and Gambling: A Risk Factor for All Gamblers?
|
|---|---|
| Published in |
Journal of Gambling Studies, February 2012
|
| DOI | 10.1007/s10899-012-9297-x |
| Pubmed ID | |
| Authors |
Céline Bonnaire, Catherine Bungener, Isabelle Varescon |
| Abstract |
The purpose of this study was to investigate alexithymia (in relation with depression) in three groups of French gamblers (n = 186) recruited in their gambling location: at the racetracks (n = 80 males; mean age 28.1 years), in the slot machine rooms (n = 65; 29 males, 36 females; mean age 34.6 years), and in the traditional gaming rooms (n = 41 males; mean age 36 years). Gambling behavior was measured by the South Oaks Gambling Screen and DSM-IV criteria for pathological gambling, Alexithymia by the Toronto Alexithymia Scale (TAS-20) and depression with the Beck Depression Inventory (BDI-13). For racetracks and slot machine gambling, pathological gamblers differed from non-pathological gamblers, regarding their alexithymia scores. These results remained stable after controlling for depression scores among the racetracks gamblers only. The relationship between alexithymia and depression depends on the type of pathological gambler. These findings are consistent with the idea of identifying clinically distinct subgroups of gamblers. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Russia | 1 | 1% |
| Italy | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 77 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 16% |
| Student > Ph. D. Student | 12 | 15% |
| Researcher | 10 | 12% |
| Student > Doctoral Student | 6 | 7% |
| Student > Postgraduate | 5 | 6% |
| Other | 16 | 20% |
| Unknown | 20 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 36 | 44% |
| Medicine and Dentistry | 13 | 16% |
| Social Sciences | 3 | 4% |
| Computer Science | 2 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 20 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 March 2012.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Journal of Gambling Studies
#865
of 989 outputs
Outputs of similar age
#152,713
of 168,031 outputs
Outputs of similar age from Journal of Gambling Studies
#12
of 12 outputs
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