Table 1.
Demographics and drug use data between recreational gamblers (RG), non-gamblers (Non-G), high recreational gamblers (HRG), low recreational gamblers (LRG)
| Gamblers (n = 47) |
Non-gamblers (n = 35) |
HRG (n = 22) |
LRG (n = 24) |
Non-Gamblers (n = 35) | |
|---|---|---|---|---|---|
| Female (n) | 27 | 20 | 9 | 18 | 20 |
| Male (n) | 20 | 15 | 14 | 6 | 15 |
| Age (years, mean ± SEM) | 27.7 ± 1.2 | 24.6 ± 1.0 | 27.2 ± 1.4 | 28.1 ± 0.0 | 24.6 ± 1.0 |
| Weight (kg, mean ± SEM) | 72.1 ± 1.2 | 68.2 ± 2.3 | 75.1 ± 2.5 | 69.3 ± 2.1 | 68.2 ± 2.3 |
| Race/ethnicity | |||||
| Caucasian | 44 | 33 | 21 | 22 | 34 |
| Asian | 1 | 1 | 0 | 0 | 0 |
|
Hispanic Other |
1 1 |
0 1 |
0 2 |
0 2 |
0 1 |
| Education (n) | |||||
| High School grad or less | 2 | 1 | 0 | 2 | 1 |
| College student | 28 | 25 | 10 | 16 | 25 |
| College graduate | 16 | 9 | 8 | 10 | 9 |
| Current gambling situation | |||||
| DSM-IV (total points, mean ± SEM) | 0.4 ± 0.1 | 0.02 ± 0.0 | 0.4 ± 0.2 | 0.36 ± 0.2 | 0.02 ± 0.0 |
| Gambling (minutes/week, mean ± SEM) | 134 ± 7 | 0.0 ± 0.0 | 197 ± 8 | 17 ± 3 | 0.0 ± 0.0 |
| “Bets” (dollars/day) | 6.4 ± 2.7 | 0.0 ± 0.0 | 10.4 ± 6.0 | 2.57 ± 1.0 | 0.0 ± 0.0 |
| Computer gaming (yes) | 17 | 7 | 10 | 7 | 7 |
| Current drug use | |||||
| AUDIT (total points, mean ± SEM) | 5.3 ± 0.5 | 5.4 ± 0.5 | 5.9 ± 0.7 | 4.8 ± 0.7 | 5.4 ± 0.5 |
| Alcohol drinks (n/week, mean ± SEM) | 3.9 ± 0.7 | 3.0 ± 0.5 | 5.3 ± 1.2 | 2.7 ± 0.6 | 3.0 ± 0.5 |
| Caffeine (n users) | 31 | 24 | 17 | 13 | 24 |
| Cups of coffee (n/day) | 10.7 ± 1.5 | 8.1 ± 1.6 | 11.2 ± 2.0 | 10.2 ± 2.3 | 8.1 ± 1.6 |
| Cigarette consumers on a daily basis (n users) | 4 | 2 | 2 | 2 | 2 |
| Cigarettes consumed (n/day) | 1.7 ± 1.3 | 0.2 ± 0.1 | 3.3 ± 2.8 | 0.2 ± 0.2 | 0.2 ± 0.1 |
| Snuff consumers on a daily basis (n users) | 6 | 4 | 4 | 2 | 4 |
| Snuffs consumed (n/day) | 8.1 ± 4.1 | 7.7 ± 4.3 | 8.7 ± 4.4 | 1.1 ± 1.1 | 7.7 ± 4.3 |
The demographics are presented as arithmetic mean ± standard error of mean (SEM)