Table 1 Demographic data of the drug users in this study
Number of participants (%)/Mean ± SD | ||||||
|---|---|---|---|---|---|---|
Shanxi (n = 487) | Sichuan (n = 625) | Guizhou (n = 482) | Guangdong (n = 508) | Hunan (n = 150) | Total (N = 2252) | |
Gender | ||||||
Male | 348 (26.6) | 448 (34.2) | 141 (10.8) | 247 (18.9) | 125 (9.5) | 1309 (100) |
Female | 139 (14.7) | 177 (18.8) | 341 (36.2) | 261 (27.7) | 25 (2.7) | 943 (100) |
Age | 33.52 ± 8.629 | |||||
18–25 | 60 (13.5) | 148 (33.3) | 106 (23.9) | 111 (25.0) | 19 (4.3) | 444 (100) |
26–34 | 200 (23.3) | 275 (32.1) | 135 (15.8) | 189 (22.1) | 58 (6.8) | 857 (100) |
35–44 | 173 (26.2) | 138 (20.9) | 144 (21.8) | 160 (24.2) | 46 (7.0) | 661 (100) |
≥ 45 | 54 (18.6) | 64 (22.1) | 97 (33.4) | 48 (16.6) | 27 (9.3) | 290 (100) |
Employment | ||||||
Unemployed | 195 (18.3) | 286 (26.9) | 288 (27.0) | 221 (20.8) | 75 (7.0) | 1065 (100) |
Employed | 292 (24.6) | 339 (28.6) | 194 (16.3) | 287 (24.2) | 75 (6.3) | 1187 (100) |
Educational level | ||||||
≤ Primary | 121 (26.7) | 123 (27.1) | 79 (17.4) | 116 (25.6) | 15 (3.3%) | 454 (100) |
Middle | 233 (19.7) | 328 (27.7) | 262 (22.1) | 289 (24.4) | 73 (6.2) | 1185 (100) |
High | 82 (18.2) | 135 (29.9) | 101 (22.4) | 84 (18.6) | 49 (10.9) | 451 (100) |
≥ University | 31 (30.7) | 31 (30.7) | 21 (20.8) | 10 (9.9) | 8 (7.9) | 101 (100) |
Categorya | ||||||
Opioidsb | 180 (17.4) | 209 (20.3) | 321 (31.1) | 266 (25.8) | 56 (5.4) | 1032 (100) |
Cannabis | 33 (14.0) | 102 (43.4) | 22 (9.4) | 60 (25.5) | 18 (7.7) | 235 (100) |
ATSc | 318 (19.6) | 538 (33.2) | 266 (16.5) | 371 (22.9) | 129 (8.0) | 1622 (100) |
Hallucinogend | 76 (15.4) | 204 (42.4) | 49 (10.2) | 111 (23.1) | 41 (8.5) | 481 (100) |
Pills-Medicinee | 84 (52.2) | 38 (23.6) | 16 (9.9) | 17 (10.6) | 6 (3.7) | 161 (100) |
Othersf | 151 (51.0) | 55 (18.6) | 19 (6.4) | 61 (20.6) | 10 (3.4) | 296 (100) |