Skip to main content
. Author manuscript; available in PMC: 2015 Feb 1.
Published in final edited form as: Exp Clin Psychopharmacol. 2014 Feb;22(1):50–56. doi: 10.1037/a0034518

Table 3.

Gambling-related variables by diagnosis group

No Diagnosis
(n=829)
DSM-5 Only
(n=115)
Both Diagnoses
(n=563)
Test value** p-value
Type of Gambling [n (%)]
  Gambled on sports 274 (33.1)a 49 (42.6)b 271 (48.1)b 32.47 <0.0001
  Gambled in casino 532 (64.2)a 89 (77.4)b 469 (83.3)b 62.90 <0.0001
  Played lottery 529 (63.8) 82 (71.3) 397 (70.5) 7.90 0.019
  Played sports for money 86 (10.4)a 19 (16.5)b 137 (24.3)b 48.49 <0.0001
  Bought stocks/commodities 10 (1.2) 5 (4.3) 12 (2.1) 6.25 0.044
  Gambled on Internet 21 (2.5)a 7 (6.1)b 30 (5.3)b 8.77 0.013
Gambling Characteristics*
  Amount gambled ($)
    [M (SD)] 501 (1330)a 883 (1783)b 1446 (2410)c 168.17 <0.0001
  Age at onset (yr)
    [M (SD)] 28.2 (9.97) 27.9 (9.67) 28.2 (9.75) 0.08 0.96
  Months gambled
    [M (SD)] 33.6 (66.3)a 33.5 (51.1)a, b 37.3 (75.2)b 25.21 <0.0001
  Frequency of gambling
    [n (%)]
     Daily 297 (35.8)a 60 (52.2)b 373 (66.3)c 124.97 <0.0001
     Weekly or monthly 532 (64.2)a 55 (47.8)b 190 (33.7)c
Gambling problems
[n (%)]
  Gambling caused problems 97 (11.5)a 42 (29.6)b 417 (71.0)c 523.00 <0.0001
  People objected to gambling 130 (13.9)a 40 (32.2)b 389 (66.1)c 402.08 <0.0001
*

During the period when subjects gambled the most.

**

Test value: Results from ANOVA for continuous data and Chi-square analysis for categorical data. When ANOVA showed a significant difference (p<0.05), the Tukey-Kramer test was used a posteriori to specify the group differences. Superscript labels with different letters reflect significant group differences.