Table 1

Descriptive statistics

Independent variablesRecreational useMedical useTotalp
n (%)n (%)n (%)
Gendera   0.061
Male124 (72)49 (28)173 (73) 
Female37 (58)27 (42)64 (27) 
Educationa   0.514
Elementary school or less52 (68)25 (32)77 (32) 
Vocational degree69 (65)37 (35)106 (45) 
Higher education40 (74)14 (26)54 (23) 
City sizea   0.144
Less than 50,00038 (57)29 (43)67 (28) 
50,000–100,00040 (73)15 (27)55 (23) 
More than 100,00063 (72)24 (28)87 (37) 
Capital area (>1,000,000)20 (71)8 (29)28 (12) 
Agea   0.002
15–1714 (88)2 (12)16 (7) 
18–2058 (79)15 (21)73 (31) 
21–2337 (74)13 (26)50 (21) 
24–2617 (55)14 (55)31 (13) 
27–3017 (59)12 (41)29 (12) 
31+18 (47)20 (53)38 (16) 
Monthly usagea   0.014
1–5 days55 (63)32 (37)87 (37) 
6–10 days44 (86)7 (14)51 (22) 
11–20 days28 (67)14 (33)42 (18) 
21–30 days34 (60)23 (40)57 (24) 
 MinMaxMean (SD) 
Onset ageb73416 (3)0.29
0.1 g to more than 5 g (1–19 levels)0.1196.4 (4)0.430
Amountb    
Total161 (68)76 (32)237 (100) 

Notes:

p-value:

aχ2 test for categorical variables;

btwo-sided t-test for continuous variables

Source: Table by authors

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