Table III

Association between the demographic factors and pre-conviction gambling problems

Gambling probleman (%)Significance
Gender0.776
Men8 (14.8) 
Women7 (18.4) 
Age0.527
18−34 years6 (17.1)
35 years or more9 (15.5) 
Marital status0.463
Married, registered relationship or cohabitation8 (17.8) 
Single, divorced or widowed7 (14.9) 
Alcohol risk consumptiona0.388c
Yes6 (14.3) 
No3 (8.1) 
Smoking0.456c
Yes14 (17.5) 
No1 (7.1) 
Use of narcotics0.563
Yes7 (20.0) 
No8 (14.0) 
Crime type0.012*
Property crime, financial crime, robbery7 (33.3) 
Violent crime, drug offense or other crime7 (10.0) 
Previous sentence0.022*c
Yes13 (24.1) 
No2 (5.4) 
Sentence related to gambling0.000**c
Yes5 (83.3) 
No10 (11.4) 
Prison type0.971
Open prison6 (15.8) 
Closed high-security prison9 (16.1) 

Notes:n=96, aBBGS=1+, Brief Biosocial Gambling Screen: one or more positive responses (yes) indicated potential past-year gambling problems; bAUDIT-C risky drinking defined among men score⩾6 points and women score⩾5 points; significance is determined by Fischer’s exact test (two groups); cexpected cell count 5 or less. *p⩾0.05; **p⩾0.001

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