| Literature DB >> 27535092 |
Qianqian Qin1, Weiming Tang2,3, Lin Ge1, Dongmin Li1, Tanmay Mahapatra4, Liyan Wang1, Wei Guo1, Yan Cui1, Jiangping Sun1.
Abstract
Dearth of information regarding the trend and correlates of HIV, syphilis and Hepatitis C (HCV) in a country-wide sample of understudied though high-risk Chinese men who have sex with men (MSM) called for a comprehensive serial cross-sectional study. Using a multistage mixed-method strategy, 171,311 MSM from 107 selected cities/counties in 30 provinces of mainland China, were interviewed and tested. Descriptive, bivariate, multivariate and Cochran-Armitage trend analyses were conducted using SAS 9.2. During 2009-13, recent (71.5% to 78.6%, p < 0.001) and consistent (40.4% to 48.8%, p < 0.001) condom use as well as condom use during commercial anal sex (46.5% to 55.0%, p < 0.001) were increasing. In contrast, commercial anal sex with male (11.9% to 7.1%, p < 0.001) and drug use (1.9% to 0.8%, p < 0.001) were decreasing over time. HIV prevalence increased gradually (5.5% to 7.3%, p < 0.001), while syphilis (9.0% to 6.3%, p < 0.001) and HCV prevalence (1.5% to 0.7%, p < 0.001) decreased over time. A positive correlation was observed between HIV and syphilis prevalence (r = 0.38). HIV infection was associated with HIV-related knowledge, services and injecting drug use. An increasing trend of HIV prevalence was observed during 2009-13 among MSM in China. While gradual reduction of risk behaviors along with syphilis and HCV prevalence supported expansion of testing and prevention services, increasing HIV burden called for deeper thematic investigations.Entities:
Mesh:
Year: 2016 PMID: 27535092 PMCID: PMC4989164 DOI: 10.1038/srep31081
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Demographic characteristics of MSM recruited between 2009 and 2013 in China (N = 171, 311).
| Variables | 2009 (N = 17431) | 2010 (N = 34191) | 2011 (N = 37099) | 2012 (N = 39910) | 2013 (N = 42680) | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| homosexual % | bisexual % | homosexual % | bisexual % | homosexual % | bisexual % | homosexual % | bisexual % | homosexual % | bisexual % | |
| Percentage of the class | 77.1 | 22.9 | 74.3 | 25.7 | 71.6 | 28.4 | 75.2 | 24.8 | 79.0 | 21.0 |
| Sampling site | ||||||||||
| 35.9 | 36.1 | 33.0 | 33.4 | 27.7 | 30.7 | 28.5 | 28.6 | 26.5 | 22.7 | |
| 11.1 | 14.0 | 11.0 | 15.4 | 12.7 | 17.2 | 11.2 | 15.2 | 9.8 | 11.7 | |
| 11.6 | 17.8 | 9.5 | 11.3 | 7.9 | 9.4 | 11.1 | 12.9 | 8.2 | 13.7 | |
| 27.0 | 20.3 | 26.2 | 21.7 | 31.9 | 22.4 | 31.7 | 25.9 | 35.1 | 27.9 | |
| 13.1 | 10.9 | 18.8 | 16.9 | 19.2 | 20.0 | 17.3 | 17.1 | 20.1 | 23.8 | |
| Age | ||||||||||
| 48.6 | 26.0 | 45.7 | 21.9 | 44.1 | 18.8 | 40.2 | 17.4 | 36.5 | 13.3 | |
| 49.3 | 71.1 | 52.0 | 74.4 | 53.1 | 77.2 | 56.8 | 78.1 | 60.0 | 81.6 | |
| 2.1 | 2.9 | 2.3 | 3.8 | 2.8 | 3.9 | 3.0 | 4.5 | 3.5 | 5.1 | |
| Marital status | ||||||||||
| 82.0 | 41.8 | 79.6 | 36.6 | 78.1 | 31.2 | 77.9 | 30.8 | 76.5 | 29.9 | |
| 10.4 | 51.8 | 13.2 | 57.3 | 14.3 | 61.9 | 14.0 | 63.2 | 14.6 | 64.4 | |
| 1.4 | 2.7 | 1.0 | 2.8 | 0.8 | 3.3 | 1.2 | 2.2 | 1.5 | 2.2 | |
| 6.0 | 3.5 | 5.9 | 3.0 | 6.8 | 3.5 | 6.7 | 3.7 | 7.4 | 3.4 | |
| Resident | ||||||||||
| 84.4 | 83.2 | 82.0 | 81.0 | 83.2 | 85.1 | 84.3 | 84.5 | 85.1 | 84.5 | |
| 15.5 | 16.5 | 17.6 | 18.6 | 16.6 | 14.8 | 15.5 | 15.4 | 14.8 | 15.4 | |
| Education | ||||||||||
| 2.5 | 4.6 | 2.5 | 4.0 | 2.8 | 4.3 | 2.8 | 4.3 | 2.8 | 4.4 | |
| 17.4 | 24.0 | 17.3 | 23.8 | 17.4 | 22.5 | 16.8 | 23.5 | 18.4 | 23.7 | |
| 80.0 | 71.2 | 80.0 | 72.0 | 79.7 | 73.1 | 80.4 | 72.2 | 78.7 | 71.8 | |
HIV, syphilis and HCV prevalence for the participants during 2009 and 2013 in China (N = 171, 311).
| Variables | 2009 (%) | 2010 (%) | 2011 (%) | 2012 (%) | 2013 (%) | P for Trend | Crude OR (95% CI) | Adjusted OR | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
| HIV | |||||||||||
| Homosexual | 5.6 | 5.8 | 6.6 | 6.9 | 7.5 | <0.001 | 1.38 | (1.26–1.5) | 1.33 | (1.22–1.45) | <0.001 |
| Bisexual | 5.1 | 5.4 | 5.7 | 6.1 | 6.6 | <0.001 | 1.31 | (1.11–1.54) | 1.27 | (1.07–1.5) | 0.01 |
| All | 5.5 | 5.7 | 6.3 | 6.7 | 7.3 | <0.001 | |||||
| Syphilis | |||||||||||
| Homosexual | 9.0 | 8.4 | 7.8 | 7.5 | 6.3 | <0.001 | 0.68 | (0.63–0.73) | 0.64 | (0.60–0.69) | <0.001 |
| Bisexual | 9.2 | 9.1 | 7.9 | 7.8 | 6.0 | <0.001 | 0.63 | (0.55–0.72) | 0.58 | (0.51–0.67) | <0.001 |
| All | 9.1 | 8.6 | 7.8 | 7.5 | 6.3 | <0.001 | |||||
| HCV | |||||||||||
| Homosexual | 1.4 | 0.8 | 0.6 | 0.7 | 0.7 | <0.001 | 0.45 | (0.37–0.56) | 0.44 | (0.35–0.54) | <0.001 |
| Bisexual | 1.6 | 0.7 | 0.9 | 0.6 | 0.7 | <0.001 | 0.46 | (0.32–0.65) | 0.43 | (0.3–0.63) | <0.001 |
| All | 1.5 | 0.8 | 0.7 | 0.7 | 0.7 | <0.001 | |||||
*Multivariate models were adjusted for the following variables: age, marital status, resident and education.
Figure 1Trend of HIV (A), syphilis (B) and HCV (C) prevalence for the participants during 2009 and 2013 in China. (Created by Microsoft Excel, Redmond, Washington, United States, available at: https://store.office.com/en-001/appshome.aspx?ui=en-US&rs=en-001&ad=HK).
HIV related knowledge, services and behaviors for MSM during 2009 and 2013 in China.
| Variables | 2009 (%) | 2010 (%) | 2011 (%) | 2012 (%) | 2013 (%) | P for Trend | Crude OR (95% CI) | Adjusted OR | P for Adjusted Model | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Engaged in anal sex in the last 6 months | |||||||||||
| Homosexual | 88.85 | 83.45 | 86.37 | 87.27 | 86.74 | <0.001 | 0.82 | (0.77–0.87) | 0.83 | (0.78–0.88) | <0.001 |
| Bisexual | 85.31 | 82.97 | 83.05 | 85.20 | 85.08 | 0.003 | 0.98 | (0.88–1.09) | 0.97 | (0.87–1.08) | 0.55 |
| All | 88.04 | 83.33 | 85.42 | 86.75 | 86.39 | <0.001 | |||||
| Used condom during last anal intercourse with male | |||||||||||
| Homosexual | 71.01 | 73.41 | 74.35 | 75.50 | 78.81 | <0.001 | 1.52 | (1.45–1.59) | 1.54 | (1.47–1.62) | <0.001 |
| Bisexual | 73.27 | 73.78 | 73.57 | 77.11 | 77.59 | <0.001 | 1.26 | (1.15–1.39) | 1.33 | (1.21–1.46) | <0.001 |
| All | 71.51 | 73.51 | 74.13 | 75.89 | 78.55 | <0.001 | |||||
| Consistent used condom during anal sex in the last 6 months | |||||||||||
| Homosexual | 39.89 | 42.95 | 43.47 | 47.00 | 49.25 | <0.001 | 1.46 | (1.4–1.53) | 1.47 | (1.41–1.54) | <0.001 |
| Bisexual | 42.27 | 41.53 | 42.80 | 45.86 | 46.95 | <0.001 | 1.21 | (1.11–1.31) | 1.27 | (1.16–1.38) | <0.001 |
| All | 40.41 | 42.59 | 43.29 | 46.72 | 48.77 | <0.001 | |||||
| Engaged in commercial anal sex with male in the last 6 months | |||||||||||
| Homosexual | 10.34 | 9.3 | 7.46 | 7.86 | 6.46 | <0.001 | 0.6 | (0.56–0.65) | 0.63 | (0.58–0.68) | <0.001 |
| Bisexual | 17.23 | 14.5 | 10.08 | 11.74 | 9.39 | <0.001 | 0.5 | (0.44–0.56) | 0.61 | (0.54–0.69) | <0.001 |
| All | 11.87 | 10.62 | 8.18 | 8.8 | 7.07 | <0.001 | |||||
| Consistent used condom during commercial anal sex in the last 6 months | |||||||||||
| Homosexual | 46.06 | 51.91 | 51.51 | 57.2 | 56.86 | <0.001 | 1.54 | (1.33–1.79) | 1.53 | (1.32–1.78) | <0.001 |
| Bisexual | 47.54 | 52.56 | 55.63 | 46.88 | 50.21 | 0.51 | 1.11 | (0.89–1.39) | 1.18 | (0.93–1.5) | 0.17 |
| All | 46.54 | 52.14 | 52.91 | 53.85 | 55.03 | <0.001 | |||||
| Used condom at last commercial anal intercourse | |||||||||||
| Homosexual | 73.13 | 77.34 | 75.10 | 83.07 | 83.72 | <0.001 | 1.89 | (1.58–2.25) | 2.03 | (1.69–2.43) | <0.001 |
| Bisexual | 75.3 | 77.96 | 77.96 | 84.32 | 77.95 | 0.01 | 1.16 | (0.89–1.5) | 1.26 | (0.95–1.66) | <0.001 |
| All | 73.83 | 77.55 | 76.07 | 83.48 | 82.12 | <0.001 | |||||
| Used drug in lifetime | |||||||||||
| Homosexual | 1.47 | 0.86 | 0.92 | 0.78 | 0.74 | <0.001 | 0.5 | (0.42–0.61) | 0.51 | (0.43–0.62) | <0.001 |
| Bisexual | 3.6 | 1.64 | 1.84 | 1.23 | 0.95 | <0.001 | 0.26 | (0.2–0.34) | 0.32 | (0.24–0.42) | <0.001 |
| All | 1.95 | 1.06 | 1.18 | 0.89 | 0.79 | <0.001 | |||||
*Multivariate models were adjusted for the following variables: age, marital status, resident and education.
HIV related knowledge, services and behaviors for HIV negative and positive MSMs in China (2009–2013).
| Variables | 2009 | 2010 | 2011 | 2012 | 2013 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Engaged in anal sex in the last 6 months | ||||||||||
| HIV− | 88.1 | (13999/15891) | 83.4 | (26376/31644) | 85.5 | (29570/34598) | 86.8 | (32210/37122) | 86.1 | (33953/39431) |
| HIV+ | 88.9 | (816/918) | 85.3 | (1632/1913) | 85.6 | (1994/2330) | 86.4 | (2304/2666) | 90.0 | (2796/3107) |
| Used condom during at last anal intercourse with male | ||||||||||
| HIV− | 71.7 | (9925/13844) | 73.9 | (19379/26209) | 74.7 | (21910/29337) | 76.4 | (24502/32083) | 79.3 | (26800/33782) |
| HIV+ | 69.6 | (562/808) | 67.2 | (1089/1620) | 66.6 | (1323/1986) | 68.5 | (1573/2295) | 68.9 | (1922/2788) |
| Consistent used condom during anal sex in the last 6 months | ||||||||||
| HIV− | 40.2 | (5566/13848)a | 43.1 | (11327/26263) | 44.0 | (12922/29381) | 47.6 | (15267/32100) | 49.7 | (16825/33880) |
| HIV+ | 35.9 | (289/804) | 33.5 | (545/1625) | 33.8 | (671/1985) | 35.2 | (807/2294) | 37.6 | (1050/2791) |
| Engaged in commercial anal sex with male in the last 6 months | ||||||||||
| HIV− | 12.0 | (1683/13981) | 10.6 | (2800/26446) | 8.2 | (2426/29549) | 8.9 | (2854/32176) | 7.1 | (2399/33939) |
| HIV+ | 11.3 | (92/815) | 11.5 | (187/1633) | 7.8 | (156/1995) | 7.6 | (175/2298) | 6.9 | (192/2795) |
| Consistent used condom during commercial anal sex in the last 6 months | ||||||||||
| HIV− | 47.0 | (775/1649) | 52.7 | (1477/2803) | 53.0 | (1273/2400) | 55.3 | (1562/2825) | 54.9 | (1308/2381) |
| HIV+ | 40.9 | (36/88) | 42.1 | (80/190) | 50.6 | (78/154) | 27.4 | (48/175) | 55.3 | (105/190) |
| Used condom during last commercial anal intercourse | ||||||||||
| HIV− | 74.7 | (1242/1663) | 78.0 | (2199/2818) | 76.1 | (1834/2410) | 84.3 | (2386/2832) | 82.7 | (1965/2376) |
| HIV+ | 67.8 | (61/90) | 70.4 | (133/189) | 75.2 | (115/153) | 70.1 | (122/174) | 74.7 | (142/190) |
| Used drug in lifetime | ||||||||||
| HIV− | 1.9 | (296/15708) | 1.0 | (329/31736) | 1.1 | (390/34539) | 0.9 | (319/37067) | 0.7 | (289/39401) |
| HIV+ | 2.6 | (24/908) | 1.1 | (22/1915) | 2.0 | (47/2326) | 1.3 | (35/2660) | 1.5 | (46/3101) |
| Correct HIV related knowledge | ||||||||||
| HIV− | 86.7 | (13819/15935) | 90.3 | (28785/31880)a | 91.2 | (31574/34631) | 92.8 | (34450/37141) | 93.9 | (37028/39433) |
| HIV+ | 87.5 | (805/920) | 87.9 | (1694/1927) | 89.0 | (2080/2336) | 90.5 | (2413/2666) | 92.1 | (2863/3107) |
| Being received any kind of HIV related services in last year | ||||||||||
| HIV− | 77.9 | (12410/15922) | 79.6 | (25358/31845)a | 80.7 | (27936/34614) | 81.5 | (30248/37134) | 81.7 | (32220/39428) |
| HIV+ | 75.8 | (697/920) | 77.4 | (1487/1922) | 73.2 | (1709/2334) | 73.5 | (1959/2666) | 77.6 | (2411/3106) |
arepresents statistical significance.
Figure 2Maps of China showing the geographical distribution of HIV (A), syphilis (B), and hepatitis C virus (C) prevalence among MSM in 2013 in 107 sites. Abbreviations: HCV, hepatitis C virus; HIV, human immunodeficiency virus. (Created by ArcGIS 10.3 software, ESRI Inc., Redlands, CA, USA, available at: https://www.arcgis.com/home/).
Correlation between HIV and syphilis, HIV and HCV, HCV and syphilis among MSM in different regions of China, 2013.
| Region | HIV and syphilis | HIV and HCV | HCV and syphilis | |||
|---|---|---|---|---|---|---|
| Correlation (r) | P | Correlation (r) | P | Correlation (r) | P | |
| East | 0.64 | 0.12 | −0.21 | 0.64 | 0.04 | 0.94 |
| Northeast | −0.5 | 0.67 | 0.50 | 0.67 | 0.50 | 0.67 |
| North | 0.00 | 1.00 | 0.60 | 0.28 | −0.20 | 0.75 |
| South Central | 0.6 | 0.21 | −0.31 | 0.54 | −0.09 | 0.87 |
| Southwest | 0.7 | 0.19 | 0.05 | 0.94 | 0.67 | 0.22 |
| Northwest | 0.9 | 0.04 | 0.10 | 0.87 | 0.00 | 1.00 |
| Overall | 0.38 | 0.03 | 0.06 | 0.77 | 0.20 | 0.27 |
*East China: Anhui, Fujian, Jiangsu, Jiangxi, Shandong, Shanghai, Zhejiang; Northeast China: Heilongjiang, Jilin, Liaoning; North China: Beijing, Hebei, Inner Mongolia, Shanxi, Tianjin; South Central China: Guangdong, Guangxi, Hainan, Henan, Hubei, Hunan; Northwest China: Gansu, Ningxia, Qinghai, Shaanxi, Xinjiang; Southwest China: Chongqing, Guizhou, Sichuan, Tibet, Yunnan.