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Table 1 Summary characteristics of the study population (row percent)

From: Examining prevalence and correlates of smoking opioids in British Columbia: opioids are more often smoked than injected

 

Did not smoke opioids (N = 118)

Smoked opioids (N = 251)

Total (N = 369)

(column %)

p value

Health Authority

   

0.142

 Fraser

47 (37.6%)

78 (62.4%)

125 (33.9%)

 

 Interior

16 (26.7%)

44 (73.3%)

60 (16.3%)

 

 Island

9 (22.5%)

31 (77.5%)

40 (10.8%)

 

 Northern

15 (24.6%)

46 (75.4%)

61 (16.5%)

 

 Vancouver Coastal

31 (37.3%)

52 (62.7%)

83 (22.5%)

 

Urban/Rural

 Medium/Large Urban

96 (36.4%)

168 (63.6%)

264 (71.5%)

 

 Small Urban or rural

22 (21.0%)

83 (79.0%)

105 (28.5%)

 

Gender identity

   

0.129

 Woman

34 (24.8%)

103 (75.2%)

137 (37.1%)

 

 Man

80 (36.2%)

141 (63.8%)

221 (59.9%)

 

 Transgender and gender expansive

2 (28.6%)

5 (71.4%)

7 (1.9%)

 

 Unknown

2 (50.0%)

2 (50.0%)

4 (1.1%)

 

Age

   

<  0.001

 29 and under

15 (18.8%)

65 (81.2%)

80 (21.7%)

 

 30–39

34 (26.8%)

93 (73.2%)

127 (34.4%)

 

 40–49

33 (37.5%)

55 (62.5%)

88 (23.8%)

 

 50 and over

32 (48.5%)

34 (51.5%)

66 (17.9%)

 

 Unknown

4 (50.0%)

4 (50.0%)

8 (2.2%)

 

Regular Housing

   

0.691

 Yes

76 (33.5%)

151 (66.5%)

227 (61.5%)

 

 No

39 (30.0%)

91 (70.0%)

130 (35.2%)

 

 Unknown

3 (25.0%)

9 (75.0%)

12 (3.3%)

 

Employed

   

0.044

 No

88 (30.9%)

197 (69.1%)

285 (77.2%)

 

 Yes

29 (40.8%)

42 (59.2%)

71 (19.2%)

 

 Unknown

1 (7.7%)

12 (92.3%)

13 (3.5%)

 

Experienced an overdosea

   

0.414

 No

83 (33.5%)

165 (66.5%)

248 (67.2%)

 

 Yes

30 (27.5%)

79 (72.5%)

109 (29.5%)

 

 Unknown

5 (41.7%)

7 (58.3%)

12 (3.3%)

 

Witnessed an opioid overdosea

   

0.011

 No

39 (39.8%)

59 (60.2%)

98 (26.6%)

 

 Yes

59 (26.2%)

166 (73.8%)

225 (61.0%)

 

 Unknown

20 (43.5%)

26 (56.5%)

46 (12.5%)

 

Used drugs alone

   

0.007

 No

19 (45.2%)

23 (54.8%)

42 (11.4%)

 

 Yes

91 (29.0%)

223 (71.0%)

314 (85.1%)

 

 Unknown

8 (61.5%)

5 (38.5%)

13 (3.5%)

 

Used observed consumption servicesa

   

0.503

 No

55 (31.1%)

122 (68.9%)

177 (48.0%)

 

 Yes

52 (31.3%)

114 (68.7%)

166 (45.0%)

 

 Unknown

11 (42.3%)

15 (57.7%)

26 (7.0%)

 

Opioid agonist therapy (OAT)b

   

0.188

 No

87 (34.1%)

168 (65.9%)

255 (69.1%)

 

 Yes

31 (27.2%)

83 (72.8%)

114 (30.9%)

 

Own take-home naloxone

   

0.017

 No

37 (43.5%)

48 (56.5%)

85 (23.0%)

 

 Yes

74 (27.7%)

193 (72.3%)

267 (72.4%)

 

 Unknown

7 (41.2%)

10 (58.8%)

17 (4.6%)

 

Hydromorphoneb

   

0.444

 No

114 (32.4%)

238 (67.6%)

352 (95.4%)

 

 Yes

4 (23.5%)

13 (76.5%)

17 (4.6%)

 

Oxycodoneb

   

0.943

 No

116 (32.0%)

247 (68.0%)

363 (98.4%)

 

 Yes

2 (33.3%)

4 (66.7%)

6 (1.6%)

 

Morphineb

   

0.006

 No

86 (28.8%)

213 (71.2%)

299 (81.0%)

 

 Yes

32 (45.7%)

38 (54.3%)

70 (19.0%)

 

Heroinb

   

<  0.001

 No

48 (49.5%)

49 (50.5%)

97 (26.3%)

 

 Yes

70 (25.7%)

202 (74.3%)

272 (73.7%)

 

Fentanylb

   

0.012

 No

37 (43.0%)

49 (57.0%)

86 (23.3%)

 

 Yes

81 (28.6%)

202 (71.4%)

283 (76.7%)

 

Methamphetamines b

   

<  0.001

 No

52 (63.4%)

30 (36.6%)

82 (22.2%)

 

 Yes

66 (23.0%)

221 (77.0%)

287 (77.8%)

 

Crackb

   

0.629

 No

97 (32.6%)

201 (67.4%)

298 (80.8%)

 

 Yes

21 (29.6%)

50 (70.4%)

71 (19.2%)

 

Cocaineb

   

0.655

 No

90 (32.6%)

186 (67.4%)

276 (74.8%)

 

 Yes

28 (30.1%)

65 (69.9%)

93 (25.2%)

 
  1. aLast 6 months
  2. bPast three days