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%) |