| Literature DB >> 28107391 |
Peizhen Zhao1, Songyuan Tang2,3,4, Cheng Wang1, Ye Zhang1,2,3, John Best5, Thitikarn May Tangthanasup2,3, Shujie Huang1, Bin Yang1, Chongyi Wei5, Joseph D Tucker2,3,6, Weiming Tang1,2,3,6.
Abstract
BACKGROUND: Recreational drug use has increased considerably among Chinese men who have sex with men (MSM). The phenomenon has the potentially to increase HIV transmission among Chinese MSM. The aims of this study were: 1) to investigate the prevalence of recreational drug use among Chinese MSM, and 2) to explore the correlation between gay smartphone based sex-seeking applications (gay apps), HIV/STIs testing, group sex, commercial sex, sexual roles and poppers use among Chinese MSM.Entities:
Mesh:
Year: 2017 PMID: 28107391 PMCID: PMC5249205 DOI: 10.1371/journal.pone.0170024
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic characteristics, behaviors and HIV/other STIs testing history among men who have sex with men in China, 2014 (N = 1424).
| Variables | Poppers users(n = 303) | Non users(n = 1121) | Overall | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Frequency | Percent | 95% CI | Frequency | Percent | 95% CI | Frequency | Percent | ||
| Age group | 36 | 11.9 | 8.2,15.5 | 170 | 15.2 | 13.1,17.3 | 206 | 14.5 | |
| 203 | 67.0 | 61.7,72.3 | 695 | 62.0 | 59.2,64.8 | 898 | 63.1 | ||
| 64 | 21.1 | 16.5,25.7 | 256 | 22.8 | 20.4,25.3 | 320 | 22.5 | ||
| Sexual orientation | 234 | 77.2 | 72.5,82.0 | 804 | 71.7 | 69.1,74.4 | 1038 | 72.9 | |
| 69 | 22.8 | 18.0,27.5 | 317 | 28.3 | 25.6,30.9 | 386 | 27.1 | ||
| Education | 66 | 21.8 | 17.1,26.4 | 303 | 27.0 | 24.4,29.6 | 369 | 25.9 | |
| 219 | 72.3 | 67.2,77.3 | 750 | 66.9 | 64.1,69.7 | 969 | 68.0 | ||
| 18 | 5.9 | 3.3,8.6 | 68 | 6.1 | 4.7,7.5 | 86 | 6.0 | ||
| Marital status | 265 | 87.5 | 83.7,91.2 | 929 | 82.9 | 80.7,85.1 | 1194 | 83.8 | |
| 38 | 12.5 | 8.8,16.3 | 192 | 17.1 | 14.9,19.3 | 230 | 16.2 | ||
| Student | 123 | 40.6 | 35.0,46.2 | 465 | 41.5 | 38.6,44.4 | 588 | 41.3 | |
| 180 | 59.4 | 53.8,65.0 | 656 | 58.5 | 55.6,61.4 | 836 | 58.7 | ||
| Income | 67 | 22.1 | 17.4,26.8 | 303 | 27.0 | 24.4,29.6 | 370 | 26.0 | |
| 77 | 25.4 | 20.5,30.3 | 343 | 30.6 | 27.9,33.3 | 420 | 29.5 | ||
| 90 | 29.7 | 24.5,34.9 | 286 | 25.5 | 23.0,28.1 | 376 | 26.4 | ||
| 46 | 15.2 | 11.1,19.2 | 125 | 11.2 | 9.3,13.0 | 171 | 12.0 | ||
| 23 | 7.6 | 4.6,10.6 | 64 | 5.7 | 4.3,7.1 | 87 | 6.1 | ||
| Ever tested for other STIs except HIV | 125 | 41.3 | 35.7,46.8 | 331 | 29.5 | 26.8,32.2 | 456 | 32.0 | |
| 178 | 58.7 | 53.2,64.3 | 790 | 70.5 | 67.8,73.1 | 968 | 68.0 | ||
| Ever tested for HIV | 176 | 58.1 | 52.5,63.7 | 527 | 47.0 | 44.2,49.9 | 703 | 49.4 | |
| 127 | 41.9 | 36.3,47.5 | 594 | 53.0 | 50.2,55.9 | 721 | 50.6 | ||
| TG | 13 | 4.3 | 2.0,6.6 | 48 | 4.3 | 3.1,5.5 | 61 | 4.3 | |
| Currently have a main partner | 159 | 52.5 | 46.8,58.1 | 532 | 47.5 | 44.5,50.4 | 691 | 48.5 | |
| 144 | 47.5 | 41.9,53.2 | 589 | 52.5 | 49.6,55.5 | 733 | 51.5 | ||
| Preferred sexual role during anal sex | 93 | 30.7 | 25.5,35.9 | 431 | 38.4 | 35.6,41.3 | 524 | 36.8 | |
| 153 | 50.5 | 44.8,56.2 | 468 | 41.7 | 38.8,44.6 | 621 | 43.6 | ||
| 57 | 18.8 | 14.4,23. | 222 | 19.8 | 17.5,22.1 | 279 | 19.6 | ||
| Ever had vaginal or oral sex with women | 75 | 24.8 | 19.9,29.6 | 339 | 30.2 | 27.5,32.9 | 414 | 29.1 | |
| 228 | 75.2 | 70.4,80.1 | 782 | 69.8 | 67.1,72.4 | 1010 | 70.9 | ||
| Had condomless sex with women in the last three months | 31 | 10.2 | 6.8,13.7 | 151 | 13.5 | 11.5,15.5 | 182 | 12.8 | |
| 272 | 89.8 | 86.3,93.2 | 970 | 86.5 | 84.5,88.5 | 1242 | 87.2 | ||
| Had condomless sex with men in the last three months | 47 | 15.5 | 11.4,19.6 | 154 | 13.7 | 11.7,15.8 | 201 | 14.1 | |
| 256 | 84.5 | 80.4,88.6 | 967 | 86.3 | 84.2,88.3 | 1223 | 85.9 | ||
| Ever drunk alcohol during or prior sex in the last three months | 24 | 7.9 | 4.9,11.0 | 100 | 8.9 | 7.2,10.6 | 124 | 8.7 | |
| 279 | 92.1 | 89.0,95.1 | 1021 | 91.1 | 89.4,92.8 | 1300 | 91.3 | ||
| Participated in group sex in the last 12 months | 54 | 17.8 | 13.5,22.2 | 87 | 7.8 | 6.2,9.3 | 141 | 9.9 | |
| 249 | 82.2 | 77.8,86.5 | 1034 | 92.2 | 90.7,93.8 | 1283 | 90.1 | ||
| Changed sex for gifts or money in the last 12 months | 26 | 8.6 | 5.4,11.8 | 56 | 5.0 | 3.7,6.3 | 82 | 5.8 | |
| 277 | 91.4 | 88.2,94.6 | 1065 | 95.0 | 93.7,96.3 | 1342 | 94.2 | ||
| Gay app users | 220 | 72.6 | 67.6,77.6 | 604 | 53.9 | 51.0,56.8 | 824 | 57.9 | |
| 83 | 27.4 | 22.3,32.4 | 517 | 46.1 | 43.2,49.0 | 600 | 42.1 | ||
| HIV infection | 17 | 5.6 | 3.0,8.2 | 51 | 4.5 | 3.3,5.8 | 68 | 4.8 | |
| 145 | 47.9 | 42.2,53.5 | 424 | 37.8 | 35.0,40.7 | 569 | 40.0 | ||
| 141 | 46.6 | 40.9,52,2 | 646 | 57.6 | 54.7,60.5 | 787 | 55.2 | ||
Factors associated with Poppers use among Chinese MSM, 2014 (N = 1424).
| Variables | Crude Model | Adjusted Model | ||
|---|---|---|---|---|
| OR (95% CI) | | OR (95% CI) | | |
| | ||||
| | 1.68(1.29,2.18) | <0.001 | 1.65(1.26,2.17) | <0.001 |
| | ||||
| | 1.56(1.21,2.02) | <0.001 | 1.50(1.15,1.96) | 0.003 |
| | ||||
| | 0.96(0.74,1.25) | 0.78 | 1.06(0.77,1.46) | 0.74 |
| | ||||
| | 1.00(0.53,1.87) | 0.99 | 0.94(0.49,1.78) | 0.84 |
| | ||||
| | 1.34(0.99,1.80) | 0.056 | 1.28(0.94,1.74) | 0.12 |
| | ||||
| | 1.22(0.95,1.58) | 0.1213 | 1.16(0.89,1.50) | 0.27 |
| | ||||
| | 1.52(1.14,2.02) | 0.005 | 1.56(1.16,2.12) | 0.003 |
| | 1.19(0.82,1.72) | 0.35 | 1.30(0.89,1.89) | 0.18 |
| | ||||
| | 0.76(0.57,1.02) | 0.06 | 0.72(0.51,1.03) | 0.069 |
| | ||||
| | 0.73(0.49,1.10) | 0.14 | 0.79(0.50,1.24) | 0.31 |
| | ||||
| | 1.15(0.81,1.64) | 0.43 | 1.23(0.84,1.80) | 0.28 |
| | ||||
| | 0.88(0.55,1.40) | 0.58 | 0.87(0.54,1.41) | 0.58 |
| | ||||
| | 2.58(1.79,3.72) | <0.001 | 2.63(1.80,3.86) | <0.001 |
| | ||||
| | 1.78(1.10,2.90) | 0.019 | 1.86(1.13,3.06) | 0.014 |
| | ||||
| | 2.27(1.72,3.00) | <0.001 | 2.10(1.58,2.80) | <0.001 |
| | ||||
| | 1.53(0.86,2.72) | 1.58(0.87,2.85) | 0.132 | |
| | 1.57(1.21,2.04) | 1.60(1.14,1.96) | 0.003 | |
Note
* Model adjusted for age (Continuous), residence (Urban or rural), education level (High school or below, college or bachelors, or masters or PhD) and monthly income (less than $250 USD, $250-300USD, $301-800USD, $801-1200USD, or more than $1200USD)