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. Author manuscript; available in PMC: 2016 Dec 15.
Published in final edited form as: Psychiatry Res. 2015 Sep 28;230(2):430–435. doi: 10.1016/j.psychres.2015.09.032

Table 2.

Gambling behavior variables of subjects with Gambling Disorder (GD) due to Electronic Gaming Machines in Brazil and the United States (US).

Variables BRAZIL (n = 503) Mean (SDa) or n (%) US (n=181) Mean (SD) or n (%) Test
Coefficient P Controlled Pb
- Age of gambling onset 32.43 (±16.1) 31.50 (±15) F=.774 .358 NAc
- Age of GD onset 39.31 (±10.9) 39.80 (±11.8) F=.281 .596 NA
- Lag between gambling onset and GD (in years) 6.88 (±8.9) 8.54 (±9.8) F=4.832 .028 .077
- GD severityd 7.44 (±1.2) 7.15 (±1.3) F=3.493 .062 NA
- Gamble when feel distressed (seeking relief) 372 (74%) 142 (78.5%) x2=1.441 .230 NA
- Chasing 464 (92.2%) 146 (80.7%) x2=18.511 <.001 .001
- Illegal acts due to GDe 220 (43.7%) 40 (40.8%) x2=.269 .604 NA
a

standard deviation

b

controlled for age, gender, race and marital status.

c

do not apply

d

GD severity was measured by the total number of criteria endorsed according to the Fifth edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-5).

e

Illegal acts had a n of 503 in the Brazilian Sample and of 98 in the American Sample. The number of respondents in this criteria is lower than the total n due to the evolution of GD criteria in DSM (i.e. DSM-5 removed this behavior from the diagnostic criteria). Therefore, the patients enlisted in 2013 and 2014 did not answer this item.