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Table 2 Characteristics of Ontario adults (18+ years) as measured by the 2008, 2009 and 2010 CAMH Monitor surveys by gender

From: Assessing the prevalence of non-medical prescription opioid use in the Canadian general adult population: evidence of large variation depending on survey questions used

  Women Men
  CAMH Monitor 2008 and 2009 CAMH Monitor 2010 CAMH Monitor 2008 and 2009 CAMH Monitor 2010
  n Point estimate 95% Confidence intervals n Point estimate 95% Confidence intervals n Point estimate 95% Confidence intervals n Point estimate 95% Confidence intervals
Age (years)
18–29 147 26.2% (22.1% to 30.2%) 157 24.5% (21.0% to 28.0%) 148 27.1% (23.2% to 31.1%) 162 32.0% (27.7% to 36.3%)
30–54 454 42.9% (39.2% to 46.6%) 414 40.5% (37.0% to 44.0%) 372 43.3% (39.4% to 47.2%) 342 38.8% (34.9% to 42.6%)
55+ 488 30.9% (27.9% to 34.0%) 545 35.0% (31.8% to 38.1%) 356 43.3% (40.0% to 46.6%) 367 38.8% (35.5% to 42.0%)
Region
Toronto 179 21.7% (18.7% to 24.8%) 196 23.6% (20.7% to 26.5%) 138 20.5% (17.4% to 23.6%) 136 20.1% (16.9% to 23.4%)
Rest of Ontario 955 78.3% (75.2% to 81.3%) 941 76.4% (73.5% to 79.3%) 758 79.5% (76.4% to 82.6%) 751 79.9% (76.6% to 83.1%)
Income
<$30,000 163 9.8% (7.9% to 11.7%) 156 9.5% (7.7% to 11.4%) 87 7.2% (5.3% to 9.2%) 86 7.8% (5.6% to 10.0%)
$30,000 to $49,999 139 10.1% (8.1% to 12.1%) 164 11.4% (9.3% to 13.4%) 115 10.7% (8.4% to 12.9%) 105 9.5% (7.4% to 11.6%)
$50,000 to $79,999 216 19.5% (16.7% to 22.3%) 189 16.7% (14.1% to 19.3%) 174 19.0% (16.0% to 12.9%) 181 18.7% (15.7% to 21.8%)
$80,000+ 290 30.7% (27.2% to 34.3%) 336 35.3% (31.8% to 38.7%) 329 19.0% (15.2% to 22.7%) 334 18.7% (14.7% to 22.7%)
Not stated 326 29.9% (26.4% to 33.3%) 292 27.1% (23.9% to 30.4%) 191 23.9% (20.4% to 27.4%) 181 21.8% (18.3% to 25.2%)
Prescription opioid use
Yes 279 22.7% (19.6% to 25.7%) 293 24.7% (21.7% to 27.7%) 196 19.9% (16.9% to 22.9%) 192 21.4% (18.1% to 24.8%)
No 848 77.3% (74.3% to 80.4%) 829 75.3% (72.3% to 78.3%) 695 80.1% (77.1% to 83.1%) 686 78.6% (75.2% to 81.9%)
Non-medical prescription opioid use
Yes 20 1.6% (0.8% to 2.5%) 77 7.4% (5.5% to 9.3%) 20 2.4% (1.0% to 3.7%) 66 8.1% (5.9% to 10.3%)
No 1106 98.4% (97.5% to 99.2%) 1058 92.6% (90.7% to 94.5%) 871 97.6% (96.3% to 99.0%) 814 91.9% (89.7% to 94.1%)
Cigarette smoking
Current 194 15.2% (12.6% to 17.7%) 188 15.7% (13.1% to 18.2%) 205 22.6% (19.3% to 25.9%) 185 23.1% (19.6% to 26.7%)
Former 342 25.9% (22.9% to 28.9%) 340 26.1% (23.1% to 29.0%) 312 30.4% (27.0% to 33.8%) 314 30.4% (26.9% to 34.0%)
Never smoker 595 59.0% (55.4% to 62.5%) 607 58.3% (54.8% to 61.7%) 378 47.0% (43.0% to 50.9%) 384 46.4% (42.4% to 50.5%)
Weekly binge drinking
Yes 27 2.9% (1.5% to 4.4%) 29 3.3% (1.9% to 4.6%) 106 12.8% (10.2% to 15.5%) 115 13.2% (10.4% to 16.0%)
No 1102 97.1% (95.6% to 98.5%) 1102 96.7% (95.4% to 98.1%) 781 87.2% (84.5% to 89.8%) 764 86.8% (84.0% to 89.6%)
Cannabis use (past 3 months)
Yes 46 6.1% (4.0% to 8.2%) 61 6.3% (4.5% to 8.2%) 102 14.1% (11.1% to 17.0%) 125 17.7% (14.2% to 21.1%)
No 1084 93.9% (91.8% to 96.0%) 1076 93.7% (91.8% to 95.5%) 792 85.9% (83.0% to 88.9%) 762 82.3% (78.9% to 85.8%)
Psychological distress (GHQ 3+)
Yes 178 16.3% (13.5% to 19.1%) 180 16.8% (14.0% to 19.5%) 106 10.5% (8.2% to 12.9%) 97 12.4% (9.5% to 15.3%)
No 954 83.7% (80.9% to 86.5%) 957 83.2% (80.5% to 86.0%) 789 89.5% (87.1% to 91.8%) 789 87.6% (84.7% to 90.5%)