| Literature DB >> 30509315 |
Duo Shan1, Mao-He Yu2, Jie Yang3, Ming-Hua Zhuang4, Zhen Ning4, Hui Liu1, Lu Liu1, Meng-Jie Han1, Da-Peng Zhang5.
Abstract
BACKGROUND: In an era when HIV transmission has been on the rise among men who have sex with men (MSM), transgender women may play a considerable role in China's current HIV epidemic as a potential "bridge" of HIV transmission between homosexual and heterosexual populations. We sought to understand the risk behaviours and factors associated with HIV infection among transgender women in two cities in China.Entities:
Keywords: AIDS; HIV; Men who have sex with men; Risk behaviour; Substance use; Transgender women
Mesh:
Year: 2018 PMID: 30509315 PMCID: PMC6276265 DOI: 10.1186/s40249-018-0508-2
Source DB: PubMed Journal: Infect Dis Poverty ISSN: 2049-9957 Impact factor: 4.520
Socio-demographic characteristics (n = 498)
| Variables | Shanghai ( | Tianjin ( | Total ( |
|
|
|---|---|---|---|---|---|
| Age group | |||||
| ≤ 30 | 141 (60.5) | 184 (69.4) | 325 (65.3) | 4.36 | 0.11 |
| 31–40 | 64 (27.5) | 57 (21.5) | 121 (24.3) | ||
| ≥ 41 | 28 (12.0) | 24 (9.1) | 52 (10.4) | ||
| Marital status | |||||
| Single | 177 (76.0) | 218 (82.3) | 395 (79.3) | 13.53 | < 0.05 |
| Married | 27 (11.6) | 29 (10.9) | 56 (11.2) | ||
| Cohabited | 16 (6.9) | 2 (0.8) | 18 (3.6) | ||
| Divorced | 13 (5.6) | 16 (6.0) | 29 (5.8) | ||
| Local residency | |||||
| Yes | 104 (44.6) | 197 (74.3) | 301 (60.4) | 45.76 | < 0.05 |
| No | 129 (55.4) | 68 (25.7) | 197 (39.6) | ||
| Education | |||||
| ≤ 9 years | 39 (16.7) | 30 (11.3) | 69 (13.9) | 4.28 | 0.12 |
| 10–12 years | 71 (30.5) | 74 (27.9) | 145 (29.1) | ||
| > 13 years | 123 (52.8) | 161 (60.8) | 284 (57.0) | ||
| Occupation | |||||
| Unemployed | 34 (14.6) | 26 (9.8) | 60 (12.0) | 4.05 | 0.26 |
| Students | 14 (6.0) | 18 (6.8) | 32 (6.4) | ||
| Full-time job | 144 (61.8) | 161 (60.8) | 305 (61.2) | ||
| Part-time job | 41 (17.6) | 60 (22.6) | 101 (20.3) | ||
| Average monthly income (RMB) | |||||
| ≤ 3000 | 45 (19.3) | 86 (32.5) | 131 (26.3) | 36.41 | < 0.05 |
| 3001–8000 | 142 (60.9) | 169 (63.8) | 311 (62.4) | ||
| > 8000 | 46 (19.7) | 10 (3.8) | 56 (11.2) | ||
| Feminine dress | |||||
| Yes | 152 (65.2) | 185 (69.8) | 337 (67.7) | 1.19 | 0.28 |
| No | 81 (34.8) | 80 (30.2) | 161 (32.3) | ||
| Gender-related surgery (not including breast augmentation surgery) | |||||
| Yes | 6 (2.6) | 7 (2.6) | 13 (2.6) | 0.001 | 0.97 |
| No | 226 (97.4) | 258 (97.4) | 484 (97.4) | ||
| Hormone use | |||||
| Yes | 36 (15.5) | 32 (12.1) | 68 (13.7) | 1.2 | 0.27 |
| No | 197 (84.5) | 233 (87.9) | 430 (86.3) | ||
Risky sexual behaviors among study participants (n = 498)
| Variables | No. of participants | % |
|---|---|---|
| Group sex in the past 3 months | ||
| Yes | 32 | 6.4 |
| No | 466 | 93.6 |
| Had stable partner(s) in the past 3 months | ||
| Yes | 227 | 45.6 |
| No | 271 | 54.4 |
| Frequency of condom use in anal sex with stable partner in the past 3 months | ||
| Never | 140 | 61.7 |
| Occasionally | 19 | 8.4 |
| Often | 26 | 11.4 |
| Always | 42 | 18.5 |
| Had casual partner(s) in the past 3 months | ||
| Yes | 351 | 70.5 |
| No | 147 | 29.5 |
| Frequency of condom use with casual partners in the past 3 monthsa | ||
| Never | 4 | 1.2 |
| Occasionally | 68 | 20.8 |
| Often | 160 | 48.9 |
| Always | 95 | 29.1 |
| Buying sex in the past 3 months | ||
| Yes | 25 | 5.0 |
| No | 473 | 95.0 |
| Frequency of condom use when buying sex in the past 3 monthsa | ||
| Never or Occasionally | 3 | 12.5 |
| Often | 17 | 70.8 |
| Always | 4 | 16.7 |
| Selling sex in the past 3 months | ||
| Yes | 51 | 10.2 |
| No | 447 | 89.8 |
| Average price for selling sexa | ||
| ≤ 100 | 19 | 38.8 |
| 101–500 | 25 | 51.0 |
| > 500 | 5 | 10.2 |
| Frequency of condom use when selling sex in the past 3 monthsa | ||
| Occasionally | 7 | 14.0 |
| Often | 36 | 72.0 |
| Always | 7 | 14.0 |
| Selling sex to heterosexual men by dressing as female | ||
| Yes | 43 | 84.3 |
| No | 8 | 15.7 |
aThere are missing values for the variables
Substance use among study participants (n = 498)
| Variables | No. of participants | % |
|---|---|---|
| Ever used at least one kind of psychotropic substances in the past 6 months | ||
| Yes | 200 | 40.2 |
| No | 298 | 59.8 |
| Types of the substances | ||
| Rush popper | 199 | 99.5 |
| 5-MeO-DiPT | 40 | 20.0 |
| Methamphetamine + Cocaine | 13 | 6.5 |
| Others | 10 | 5.0 |
| Frequency of using rush poppers in the past 6 months | ||
| < 1 time per month | 55 | 27.6 |
| 1–3 times per month | 95 | 47.7 |
| ≥ 1 time per week | 49 | 24.6 |
| Sexual behavior whenever using rush popper | ||
| Occasionally | 7 | 3.5 |
| Usually | 22 | 11.1 |
| Always | 170 | 85.4 |
| Self-reported sexual pleasure after using rush popper | ||
| Increased | 177 | 88.9 |
| Reduced | 4 | 2.0 |
| No Change | 7 | 3.5 |
| Uncertain | 11 | 5.5 |
| Self-reported sexual desire after using rush popper | ||
| Increased | 169 | 84.9 |
| Reduced | 4 | 2.0 |
| No Change | 17 | 8.5 |
| Uncertain | 9 | 4.5 |
| Compared with not using rush popper, self-reported sexual duration when using it | ||
| Extended | 136 | 68.3 |
| Shortened | 9 | 4.5 |
| No Change | 34 | 17.1 |
| Uncertain | 20 | 10.1 |
| Compared with not using rush popper, self-reported condom use when using it | ||
| Never used | 3 | 1.5 |
| Sometimes used with increased times | 1 | 0.5 |
| Sometimes used with reduced times | 72 | 36.2 |
| Sometimes used with same times | 31 | 15.6 |
| Always used | 92 | 46.2 |
| The most frequent circumstances of using rush popper | ||
| Providing sexual services | 4 | 2.0 |
| For fun | 182 | 91.5 |
| Both | 13 | 6.5 |
Univariable and multivariable analysis for risk factors associated with HIV infection among transgender women in two Chinese cities, 2016 (n = 498)
| Variables | No. of participants | HIV infection rate (%) | c |
| a |
|
|---|---|---|---|---|---|---|
| Study sites | ||||||
| Tianjin | 265 | 3.4 | 1.00 | 1.00 | ||
| Shanghai | 233 | 12.4 | 3.46 (1.49–8.01) | < 0.01 | 9.35 (3.89–22.49) | < 0.01 |
| Age group | ||||||
| ≤ 30 | 325 | 7.1 | 1.00 | |||
| 31–40 | 121 | 11.6 | 3.88 (0.51–29.40) | 0.19 | ||
| ≥ 41 | 52 | 1.9 | 6.67 (0.85–52.15) | 0.07 | ||
| Local residency | ||||||
| Yes | 301 | 5.3 | 1.00 | |||
| No | 197 | 11.2 | 2.24 (1.15–4.38) | 0.02 | ||
| Education | ||||||
| > 13 years | 284 | 6.0 | 1.00 | |||
| 10–12 years | 145 | 6.9 | 1.16 (0.52–2.61) | 0.71 | ||
| ≤ 9 years | 69 | 15.9 | 2.98(1.33–6.69) | 0.01 | ||
| Buying sex in the past 3 months | ||||||
| No | 473 | 7.0 | 1.00 | 1.00 | ||
| Yes | 25 | 20 | 3.33 (1.18–9.45) | 0.02 | 3.59 (1.00–12.87) | 0.05 |
| Selling sex in the past 3 months | ||||||
| No | 447 | 6.7 | 1.00 | 1.00 | ||
| Yes | 51 | 15.7 | 2.59 (1.12–5.99) | 0.03 | 3.44 (1.31–9.01) | 0.01 |
| Substance use in the past 6 months | ||||||
| Yes | 298 | 5.0 | 1.00 | 1.00 | ||
| No | 200 | 11.5 | 2.45 (1.25–4.82) | 0.01 | 5.71 (2.63–12.41) | < 0.01 |
| Ever had discrimination-related experience in hospitals | ||||||
| No | 239 | 3.8 | 1.00 | |||
| Yes | 259 | 11.2 | 3.22 (1.49–6.96) | < 0.01 | ||