Table 1.
Socio-demographic characteristics of key populations
| FEW (n=200) | MSM (n=199) | PWUD (n=199) | TGW (n=200) | Total (n=798) | |
|---|---|---|---|---|---|
| Gender: male (%) | 0 (0.0) | 199 (100.0) | 143 (71.9) | 200 (100.0)a | 542 (67.9)a |
| Mean age* | 26.9 | 25.8 | 28.0 | 26.1 | 26.7 |
| Median age (IQR) | 25 (21 to 31) | 24 (21 to 27) | 27 (23 to 31) | 24 (21 to 29) | 25 (22 to 30) |
| Level of education completed (%)** | |||||
| Never attended school | 25 (12.5) | 1 (0.5) | 34 (17.1) | 2 (1.0) | 62 (7.8) |
| Primary school (year 1–6) | 133 (66.5) | 30 (15.1) | 121 (60.8) | 30 (15.0) | 314 (39.4) |
| Lower and upper secondary school (year 7–12) | 67 (33.5) | 133 (66.8) | 76 (38.2) | 138 (69.0) | 414 (51.9) |
| University and above | 0 (0.0) | 36 (18.1) | 2 (1.0) | 32 (16.0) | 70 (8.8) |
| Main source of income (%) | |||||
| Student | 0 (0.0) | 33 (16.6) | 0 (0.0) | 14 (7.0) | 47 (5.9) |
| Service jobb | 3 (1.5) | 75 (37.7) | 27 (13.6) | 117 (58.5) | 222 (27.8) |
| Manual labourc | 0 (0.0) | 15 (7.5) | 37 (18.6) | 13 (6.5) | 65 (8.2) |
| Office job/business owner | 1 (0.5) | 22 (11.1) | 14 (7.0) | 20 (10.0) | 57 (7.1) |
| Seller | 0 (0.0) | 21 (10.6) | 12 (6.0) | 20 (10.0) | 53 (6.6) |
| Garbage collector/beggar | 0 (0.0) | 1 (0.5) | 62 (31.2) | 0 (0.0) | 63 (7.9) |
| Entertainment venue based EWd | 151 (75.5) | 1 (0.5) | 10 (5.0) | 1 (0.5) | 163 (20.4) |
| Street based, brothel based, home based and freelance EW | 45 (22.5) | 0 (0.0) | 6 (3.0) | 0 (0.0) | 51 (6.4) |
| Male/MSM/TGW sex worker | 0 (0.0) | 14 (7.0) | 0 (0.0) | 4 (2.0) | 18 (2.3) |
| Unemployed | 0 (0.0) | 16 (8.0) | 31 (15.6) | 11 (5.5) | 58 (7.3) |
| Other | 0 (0.0) | 1 (0.5) | 0 (0.0) | 0 (0.0) | 1 (0.1) |
| Used any drug in past three months (%) | 21 (10.5) | 37 (18.6) | 198 (100.0) | 5 (2.5) | 261 (32.8) |
| Crystal, ice (methamphetamine)** | 20 (95.2) | 36 (97.3) | 192 (97.0) | 4 (80.0) | 252 (96.6) |
| Yama (amphetamine)** | 6 (28.6) | 8 (21.6) | 52 (26.3) | 0 (0.0) | 66 (25.3) |
| Heroin/opium** | 1 (4.8) | 2 (5.4) | 44 (22.2) | 0 (0.0) | 47 (18.0) |
| Inhalants (e.g. glue, paint, and petrol)** | 0 (0.0) | 2 (5.4) | 18 (9.1) | 0 (0.0) | 20 (7.7) |
| Marijuana** | 1 (4.8) | 0 (0.0) | 10 (5.1) | 0 (0.0) | 11 (4.2) |
| Ketamine | 1 (4.8) | 1 (2.7) | 5 (2.5) | 2 (40.0) | 9 (3.4) |
| Had sex, among those who used any drug in past three months (%) | 21 (100.0) | 37 (100.0) | 162 (81.4) | 5 (100.0) | 225 (86.2) |
| Used drugs before or during sex | 15 (71.4) | 27 (73.0) | 108 (66.7) | 3 (60.0) | 153 (68.0) |
| Exchanged sex for drugs** | 1 (4.8) | 13 (35.1) | 13 (8.0) | 1 (20.0) | 28 (12.4) |
*
Statistically significant to p<0.05
**
statistically significant to p<0.001
a
refers to gender at birth
b
such as hair dresser, waiter, cleaner, driver and security guard
c
such as construction worker, factory worker and mechanic
d
such as beer garden EW, beer promoter, massage parlour/spa FEW and café FEW.