| Literature DB >> 29311552 |
Zhen-Xing Chu1,2, Jun-Jie Xu1,2, Yong-Hui Zhang1,2, Jing Zhang1,2, Qing-Hai Hu1,2, Ke Yun1,2, Hong-Yi Wang1,2, Yong-Jun Jiang1,2, Wen-Qing Geng1,2, Hong Shang3,4.
Abstract
The use of poppers is highly prevalent in MSM, but little is known about the association between their use and HIV incidence in China. A prospective cohort study was conducted from 2011 to 2013 in MSM in Shenyang. 475(79.6%) of eligible HIV-negative MSM participated in this prospective survey and near one fourth MSM (23.4%) ever used poppers. About one-third of the participants had condomless anal intercourse, half had multiple sexual partners and 10.5% were syphilis positive. The HIV incidence densities were15.5 (95% CI:9.4-23.4)/100 PY[person-years]) and 4.6 (95% CI:2.9-7.0)/100 PY in poppers-users and non-poppers-users, respectively. Predictors of HIV seroconversion included poppers-using-behavior, having had more than two male partners, practicing group sex, unprotected anal intercourse(UAI) with male partners, and baseline syphilis positivity (all P < 0.05). In conclusion, the use of poppers, high-risk-sexual behaviors and syphilis infection significantly increase the HIV incidence among Shenyang MSM. It is essential for policy makers to add poppers to the official controlled illicit drug list to reduce HIV transmission among the MSM community. A comprehensive strategy should also be implemented to control both their high-risk-sexual behaviors and risk of syphilis infection, since these may represent novel ways to prevent new HIV infections in these MSM.Entities:
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Year: 2018 PMID: 29311552 PMCID: PMC5758629 DOI: 10.1038/s41598-017-18127-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Flow chart of the relationship between the use of poppers and the risk of a new HIV infection.
Characteristics of Shenyang MSM who have used or not used poppers in our enrolled cohort.
| Characteristics | Total (n,%) | Poppers user (n,%) | Non-poppers user (n,%) | χ² | P value | |||
|---|---|---|---|---|---|---|---|---|
| Total | 475 | 100.0 | 111 | 23.4 | 364 | 77.6 | ||
| Age(year) | 17.080 | <0.001 | ||||||
| <30 | 293 | 61.7 | 87 | 78.4 | 206 | 56.6 | ||
| ≥30 | 182 | 38.3 | 24 | 21.6 | 158 | 43.4 | ||
| Residence in Liaoning Province | 3.273 | 0.070 | ||||||
| Yes | 364 | 76.6 | 78 | 70.3 | 286 | 78.6 | ||
| No | 111 | 23.4 | 33 | 29.7 | 78 | 21.4 | ||
| Education | 4.417 | 0.036 | ||||||
| College and above | 174 | 36.4 | 50 | 45.0 | 124 | 34.1 | ||
| Senior high school and below | 301 | 63.6 | 61 | 55.0 | 240 | 65.9 | ||
| Marital status | 4.241 | 0.039 | ||||||
| Married or cohabitingwith a female partners | 121 | 25.5 | 20 | 18.0 | 101 | 27.7 | ||
| Single | 354 | 74.5 | 91 | 82.0 | 363 | 72.3 | ||
| Ever sold sex to male partners | 8.796 | 0.003 | ||||||
| No | 444 | 93.5 | 97 | 87.4 | 346 | 95.3 | ||
| Yes | 31 | 6.5 | 14 | 12.6 | 17 | 4.7 | ||
| Venue where sex is sought | 9.923 | 0.007 | ||||||
| Internet | 252 | 53.1 | 73 | 65.8 | 179 | 49.2 | ||
| Bar | 33 | 6.9 | 4 | 3.6 | 29 | 8.0 | ||
| Park/ public bath | 190 | 40.0 | 34 | 30.6 | 156 | 42.9 | ||
| Monthly income(CNY) | 2.231 | 0.135 | ||||||
| 0–2999 | 371 | 78.1 | 81 | 73.0 | 290 | 79.7 | ||
| 3000- | 104 | 21.9 | 30 | 27.0 | 74 | 20.3 | ||
| Ever injecting illicit drug | 0.612 | 0.434 | ||||||
| No | 441 | 99.5 | 111 | 100.0 | 362 | 99.5 | ||
| Yes | 2 | 0.5 | 0 | 0.0 | 2 | 0.5 | ||
| UAI* with regular male partners in the past 3 months | 2.029 | 0.154 | ||||||
| No | 354 | 74.5 | 77 | 69.4 | 277 | 76.1 | ||
| Yes | 121 | 25.5 | 34 | 30.6 | 87 | 23.9 | ||
| UAI with casual male partners in the past 3 months | 3.559 | 0.059 | ||||||
| No | 334 | 70.3 | 86 | 77.5 | 248 | 68.1 | ||
| Yes | 141 | 29.7 | 25 | 22.5 | 116 | 31.9 | ||
| UAI with commercial partners in the past 3 months | 0.030 | 0.863 | ||||||
| No | 413 | 93.2 | 74 | 93.7 | 339 | 93.1 | ||
| Yes | 30 | 6.8 | 5 | 6.3 | 25 | 6.9 | ||
| Number of male partners in the past 3 months | 0.660 | 0.417 | ||||||
| <2 | 254 | 53.5 | 56 | 50.5 | 198 | 54.4 | ||
| ≥2 | 221 | 46.5 | 55 | 49.5 | 166 | 45.6 | ||
| Group sex inthe past 3 months | 24.720 | <0.001 | ||||||
| Yes | 12 | 2.5 | 10 | 9.0 | 2 | 0.5 | ||
| No | 463 | 97.5 | 101 | 91.0 | 362 | 99.5 | ||
*UAI:unprotected anal intercourse.
Factors associated with the use of poppers among MSM in Shenyang, China (n = 475).
| Characteristic | β | Wald χ² | P-value | aOR* 95% CI |
|---|---|---|---|---|
| Age | ||||
| ≥30 | 1 | |||
| <30 | 0.823 | 6.693 | 0.010 | 2.3(1.2–4.3) |
| Residence in Liaoning Province | ||||
| Yes | 1 | |||
| No | 0.697 | 5.563 | 0.018 | 2.0(1.1–3.6) |
| Ever sold sex to male partners | ||||
| No | 1 | |||
| Yes | 1.217 | 7.713 | 0.005 | 3.4(1.4–8.0) |
| Main venue to seek male sex partners | ||||
| Park/public bath | 1 | |||
| Internet | 1.018 | 10.497 | 0.001 | 2.8(1.5–5.1) |
| Bar/dance halls | 0.149 | 0.053 | 0.818 | 1.2(0.3–4.1) |
| Group sex in the past 3 months | ||||
| No | 1 | |||
| Yes | 3.139 | 12.602 | P < 0.001 | 23.1(4.1–130.6) |
*aOR: adjusted odds ratio.
Risk behavior variables of the SDET score and number of male partners at first and most recent testing encounter among repeat testers who reported poppers use (on the right). On the left risk behaviors in those who reported poppers use, and those that never use poppers.
|
| MSM reporting never poppers (n = 364) | MSM reporting recent poppers (n = 111) | P value | Repeat Testers reporting poppers use with ≥ 1 year between first and most recent test (n = 111) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Group 1 started poppers (n = 25) | Group 2 stopped poppers (n = 41) | Group 3 always poppers (n = 45) | ||||||||||
| First test | Most recent test | P value | First test | Most recent test | P value | First test | Most recent test | P value | ||||
| CRAI with a HIV positive | 0 (0.0%) | 1 (0.1%) | N.S. | 0 (0.0%) | 0 (0.0%) | N.S. | 0 (0.0%) | 0 (0.0%) | N.S. | 0 (0.0%) | 1 (0.1%) | N.S. |
| Combination CRAI plus 5 or more male partners | 85 (23.4%) | 24 (21.6%) | 0.704 | 4 (16.0) | 4 (16.0) | 1.000 | 6 (14.6%) | 2 (4.9%) | 0.137 | 5 (11.1%) | 9 (20.0%) | 0.245 |
| 10 or more male partners | 162 (44.5%) | 59 (53.2%) | 0.110 | 12 (48.0%) | 16 (64.0%) | 0.254 | 17 (41.5%) | 16 (39.0%) | 0.822 | 18 (40.0%) | 21 (46.7%) | 0.523 |
| Bacterial STI | 36 (9.9%) | 21 (18.9%) | 0.010 | 4 (16.0%) | 5 (20.0%) | 0.713 | 7 (17.1%) | 7 (17.1%) | 1.000 | 7 (15.6%) | 9 (20.0%) | 0.581 |
| Number male partners | 2 (1–5) | 3 (1–6) | 0.298 | 2 (1–5) | 3 (1–7.5) | 0.195 | 2 (1–5) | 2 (1–3) | 0.966 | 1 (1–5.5) | 2 (1–5.5) | 0.621 |
| SDET scores (median, IQR) | 2 (0–3) | 2 (0–3) | 0.113 | 2 (0–2) | 2 (1–2) | 0.315 | 2 (0–2) | 2 (0–2) | 0.456 | 0 (0–2) | 2 (0–3) | 0.151 |
Abbreviations: CRAI, condom less receptive anal intercourse; IQR, inter-quartile range; MSM, men who have sex with men; n.s.; not significant; SDET, San Diego Early Test; STI, sexually transmitted infection, contains syphilis result tested by the lab.
*Always the first testing encounter use was considered.
Always the first testing encounter where individuals reported poppers use was considered.
Calculated using Chi squared and Mann Whitney U test.
Calculated using McNemar and Wilcoxon signed rank test.
Figure 2Cumulative probability of HIV incidence (Kaplan–Meier method) among MSM stratified by poppers-using behaviors.
Univariate and multivariate hazard ratios associated with HIV seroconversion using Cox proportional hazard models with time-dependent covariates, among MSM in Shenyang, China.
| Characteristic | No. HIV Seroconversion/follow-up(PYs) | HIV Incidence /100PY (95% CI) | cHR (95%CI) | Model 1# aHR (95% CI) | Model 2& aHR (95% CI) |
|---|---|---|---|---|---|
| Condom use with regular male partners in the past 3 months | |||||
| Consistently used | 31/422.0 | 7.3(5.0–10.3) | 1 | 1 | 1 |
| Seldom/Never used | 18/146.5 | 12.2(7.4–18.7) | 2.5(1.3–4.7)** | 2.6(1.4–4.9)** | 2.0(1.0–3.8) * |
| Condom use with casual male partners in the past 3 months | |||||
| Consistently used | 16/402.3 | 4.0(2.3–6.4) | 1 | 1 | 1 |
| Seldom/Never used | 23/166.2 | 13.9(9.0–20.1) | 3.4(1.8–6.5)*** | 3.6(1.8–6.9)*** | 2.8(1.4–5.7)** |
| Group sex in the past 3 months | |||||
| No | 35/556.0 | 6.3(4.4–8.6) | 1 | 1 | 1 |
| Yes | 4/12.5 | 30.8(9.1–61.4) | 5.6(2.0–16.0)** | 5.7(2.0–16.5)** | 2.7(0.8–8.6) |
| Number of male partners in the past 3 months | |||||
| ≤2 | 14/291.6 | 4.8(2.6–7.9) | 1 | 1 | 1 |
| >2 | 25/276.9 | 9.0(5.9–13.0) | 1.8(1.0–3.5) | 2.0(1.0–3.9)* | 1.5(0.7–2.9) |
| Main sexual role with males | |||||
| Insertive anal intercourse | 9/160.6 | 5.6(2.6–10.3) | 1 | ||
| Receptive anal intercourse | 11/104.6 | 10.5(5.3–17.8) | 1.9(0.8–4.7) | — | |
| Versatile roles | 19/303.2 | 6.3(3.8–9.6) | 1.1(0.5–2.4) | — | |
| Ever used poppers | |||||
| No | 21/452.8 | 4.6(2.9–7.0) | 1 | 1 | 1 |
| Yes | 18/115.7 | 15.5(9.5–23.4) | 3.5(1.9–6.7)*** | 4.0(2.1–7.7)*** | 3.9(1.9–7.7)*** |
| Poppers use in the past 3 months | |||||
| No | 26/480.5 | 5.4(3.6–7.8) | 1 | 1 | |
| Yes | 13/88.0 | 14.8(8.1–23.9) | 2.9(1.5–5.8)** | 3.6(1.8–7.4)*** | |
| Ever used methamphetamine | |||||
| No | 37/539.9 | 6.9(4.9–9.3) | 1 | — | |
| Yes | 2/28.6 | 6.9(0.8–22.8) | 1.1(0.3–4.4) | — | |
| Methamphetamine use in the past 3 months | |||||
| No | 37/553.6 | 6.7(4.7–9.1) | 1 | — | |
| Yes | 2/14.9 | 13.3(1.7–40.5) | 2.1(0.5–8.9) | — | |
| Ever used methyl morphine phosphate | |||||
| No | 38/530.5 | 7.2(5.1–9.7) | 1 | — | |
| Yes | 1/38.0 | 7.9(1.7–21.4) | 1.3(0.4–4.3) | — | |
| Syphilis positive | |||||
| No | 26/519.4 | 5.0(3.2–7.3) | 1 | 1 | 1 |
| Yes | 13/49.1 | 26.5(14.9–41.1) | 5.8(3.0–11.3)*** | 6.5(3.2–13.2)*** | 5.9(3.0–11.8)*** |
NOTE: #Model1 with time-dependent covariates was carried out by controlling fixed covariates (age at baseline, education level, ethnic, marital status and monthly income). Time-dependent covariates included condom use with regular/casual male partners, group sex, number of male partners, poppersand methamphetamine use in the past 3 months.
&Model 2 selected a enter procedure, covariates included condom use with regular/casual male partners, group sex, number of male partners, and use of poppers
PY: person years. cHR: Crude Hazard Ratio. aHR: adjusted Hazard Ratio. *P < 0.05, **P < 0.01, ***P < 0.001.