Skip to main content

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%)