| Literature DB >> 28842553 |
Yuheng Chen1, Weiming Tang2, Lusi Chen3, Lingen Shi1, Xiaoyan Liu1, Jinshui Xu1, Haiyang Hu1, Haitao Yang4, Xiping Huan5, Gengfeng Fu6.
Abstract
Men who have sex with men (MSM) in China face high rates of HIV and syphilis infection exacerbated by internal migration. Studies on the differences of HIV and syphilis epidemics changing trends in high-risk behaviors and geographic distribution between resident and migrant MSM in Jiangsu, China were conducted. MSM were recruited from 14 surveillance sites in the serial cross-sectional study. Data on demographics, sexual behaviors, HIV and syphilis prevalence were collected. Participants were classified as residents or migrants based on household registration. During 2010-2014, 19,750 MSM were investigated. Engaged in anal sex (76.3% to 80.2%, P < 0.01) as well as received HIV-related services (72.1% to 79.2%, P < 0.01) were increasing. In contrast, engaged in commercial anal sex with males (7.4% to 5.0%, P < 0.01) and drug use (1.6% to 0.8%, P < 0.01) were decreasing. HIV prevalence ranged between 8.6% to 9.6%, while syphilis prevalence decreased over time (13.4-6.8%, P < 0.01). Further, we found that migrant MSM were more likely to engage in condomless anal sex, also had a higher HIV and syphilis prevalence than resident. During the study period, while syphilis prevalence decreased, higher rates of risk behaviors among migrant MSM called for targeted intervention strategies to reduce the HIV transmission.Entities:
Mesh:
Year: 2017 PMID: 28842553 PMCID: PMC5573352 DOI: 10.1038/s41598-017-08671-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Demographic Characteristics of MSM Recruited Between 2010 and 2014 in Jiangsu (N = 19,750).
| Characteristics | 2010 | 2011 | 2012 | 2013 | 2014 | Total | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| (N = 3061) | (N = 3337) | (N = 4380) | (N = 4208) | (N = 4766) | (N = 19750) | |||||||
| Resident % | Migrants% | Resident % | Migrants% | Resident % | Migrants% | Resident % | Migrants % | Resident % | Migrants% | Resident % | Migrant% | |
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| 75.6 | 24.4 | 79 | 21 | 82.7 | 17.3 | 80.7 | 19.3 | 80.5 | 19.5 | 80 | 20 |
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| < | 5 | 4.8 | 6.8 | 4.6 | 5.1 | 4.9 | 6.1 | 5.9 | 4.6 | 8.1 | 5.4 | 5.8 |
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| 45.1 | 56.9 | 50.4 | 63.6 | 48.5 | 56 | 48.1 | 61.2 | 48.3 | 56.6 | 48.2 | 58.7 |
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| 27.5 | 25.6 | 23.3 | 22.3 | 25.8 | 27.1 | 25.9 | 23.2 | 23.5 | 21 | 25.1 | 23.7 |
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| 16.7 | 9.5 | 14 | 7.4 | 14.3 | 9.6 | 13.2 | 6.9 | 15.3 | 9.5 | 14.6 | 8.6 |
| ≥50 | 5.7 | 3.2 | 5.5 | 2.1 | 6.5 | 2.4 | 6.7 | 2.7 | 8.3 | 4.8 | 6.7 | 3.1 |
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| 58.6 | 64.8 | 63.3 | 71.4 | 56.8 | 66.6 | 60.6 | 73 | 56.1 | 72.3 | 58.8 | 69.7 |
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| 33.9 | 28 | 32 | 26 | 38.8 | 31.2 | 33.2 | 22 | 38.3 | 22.7 | 35.6 | 25.8 |
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| 7.5 | 7.3 | 4.7 | 2.6 | 4.4 | 2.2 | 6.2 | 5.1 | 5.6 | 5.1 | 5.6 | 4.5 |
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| 22.8 | 34.5 | 19.4 | 22.6 | 21.9 | 28.2 | 21.5 | 30.5 | 18.1 | 26.8 | 20.6 | 28.5 |
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| 77.2 | 65.5 | 80.6 | 77.4 | 78.1 | 71.8 | 78.5 | 69.5 | 81.9 | 73.2 | 79.4 | 71.5 |
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| 19.9 | 47.3 | 18.5 | 39.1 | 12.5 | 35.9 | 11.2 | 37.8 | 8.8 | 36 | 13.4 | 39 |
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| 80.1 | 52.7 | 81.5 | 60.9 | 87.5 | 64.1 | 88.8 | 62.2 | 91.2 | 64 | 86.6 | 61 |
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| 24.5 | 21.4 | 34.5 | 36.7 | 47.6 | 40.7 | 40.2 | 24.3 | 62.5 | 29.3 | 44 | 30.3 |
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| 35.4 | 26.2 | 23.9 | 18.6 | 29.2 | 27.8 | 36.6 | 39.3 | 18.6 | 31.3 | 28.2 | 29 |
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| 24.7 | 36.9 | 24 | 28.4 | 16.5 | 26.4 | 7.3 | 11.9 | 6.7 | 16.1 | 14.6 | 23.3 |
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| 0.4 | 0.1 | 2.2 | 0.6 | 0.6 | 0.5 | 2.8 | 2.7 | 0.2 | 0.2 | 1.2 | 0.8 |
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| 15 | 15.3 | 15.3 | 15.7 | 6.1 | 4.6 | 13.1 | 21.8 | 11.9 | 23.2 | 11.9 | 16.5 |
Behaviors, Receipt of Services and Serological Detection of MSM Changing across time during 2010 and 2014 in Jiangsu (N = 19,750).
| Variables | 2010 | 2011 | 2012 | 2013 | 2014 | Overall |
| Crude OR# (95% CI) | Adjusted OR* (95% CI) |
| ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| (%) | (%) | (%) | (%) | (%) | (%) | |||||||
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| Residents | 76.2 | 78.2 | 73.8 | 77.8 | 79.6 | 77.2 | <0.01 | 1.22 | (1.08–1.38) | 1.24 | (1.09–1.40) | <0.01 |
| Migrants | 76.5 | 83.6 | 84.7 | 83.6 | 82.4 | 82.2 | <0.01 | 1.44 | (1.13–1.83) | 1.47 | (1.15–1.87) | <0.01 |
| All | 76.3 | 79.4 | 75.7 | 78.9 | 80.2 | 78.2 | <0.01 | |||||
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| Residents | 65.0 | 72.9 | 72.4 | 72.2 | 70.4 | 70.9 | <0.01 | 1.28 | (1.13–1.45) | 1.29 | (1.13–1.46) | <0.01 |
| Migrants | 68.3 | 71.4 | 72.8 | 67.6 | 69.9 | 69.9 | 0.43 | 1.08 | (0.85–1.36) | 1.08 | (0.86–1.37) | 0.51 |
| All | 65.8 | 72.6 | 72.5 | 71.2 | 70.3 | 70.7 | 0.02 | |||||
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| Residents | 36.7 | 44.0 | 41.9 | 43.0 | 40.9 | 41.5 | 0.06 | 1.19 | (1.06–1.35) | 1.19 | (1.05–1.34) | <0.01 |
| Migrants | 43.3 | 45.9 | 47.3 | 40.1 | 41.7 | 43.5 | 0.06 | 0.93 | (0.75–1.16) | 0.94 | (0.75–1.17) | 0.55 |
| All | 38.3 | 44.5 | 43.0 | 42.4 | 41.0 | 41.9 | 0.29 | |||||
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| Residents | 6.3 | 5.2 | 3.8 | 3.0 | 4.5 | 4.4 | <0.01 | 0.70 | (0.54–0.90) | 0.75 | (0.58–0.98) | 0.03 |
| Migrants | 10.8 | 9.0 | 5.9 | 3.5 | 7.3 | 7.2 | <0.01 | 0.66 | (0.45–0.96) | 0.69 | (0.47–1.02) | 0.07 |
| All | 7.4 | 6.1 | 4.2 | 3.1 | 5.0 | 5.0 | <0.01 | |||||
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| Residents | 75.2 | 83.0 | 68.7 | 79.2 | 85.8 | 78.9 | 0.05 | 1.99 | (1.03–3.84) | 1.98 | (1.01–3.88) | 0.05 |
| Migrants | 86.7 | 90.4 | 67.6 | 79.2 | 82.1 | 82.5 | 0.12 | 0.71 | (0.26–1.95) | 0.70 | (0.24–2.00) | 0.50 |
| All | 79.4 | 85.4 | 68.4 | 79.2 | 84.7 | 80.0 | 0.26 | |||||
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| Residents | 47.7 | 60.7 | 42.7 | 62.8 | 49.3 | 52.1 | 0.48 | 1.07 | (0.64–1.77) | 1.08 | (0.64–1.81) | 0.79 |
| Migrants | 63.3 | 67.3 | 47.4 | 41.7 | 58.9 | 58.3 | 0.11 | 0.83 | (0.39–1.76) | 0.67 | (0.30–1.47) | 0.32 |
| All | 53.3 | 62.9 | 44.0 | 57.8 | 52.1 | 54.0 | 0.23 | |||||
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| Residents | 30.2 | 28.6 | 33.5 | 28.4 | 29.7 | 30.2 | 0.23 | 0.98 | (0.87–1.09) | 0.89 | (0.79–1.02) | 0.08 |
| Migrants | 30.7 | 28.3 | 29.6 | 22.3 | 20.0 | 25.8 | <0.01 | 0.56 | (0.45–0.71) | 0.61 | (0.47–0.78) | <0.01 |
| All | 30.3 | 28.6 | 32.8 | 27.2 | 27.8 | 29.3 | <0.01 | |||||
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| Residents | 42.0 | 49.3 | 59.0 | 55.6 | 50.2 | 52.2 | <0.01 | 1.39 | (1.15–1.69) | 1.48 | (1.22–1.80) | <0.01 |
| Migrants | 44.2 | 46.9 | 61.0 | 58.1 | 48.6 | 51.7 | 0.03 | 1.19 | (0.81–1.76) | 1.26 | (0.84–1.89) | 0.27 |
| All | 42.5 | 48.8 | 59.3 | 56.0 | 50.0 | 52.1 | <0.01 | |||||
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| Residents | 24.5 | 28.3 | 21.8 | 25.6 | 24.7 | 24.7 | 0.36 | 1.01 | (0.81–1.26) | 1.05 | (0.84–1.32) | 0.68 |
| Migrants | 27.6 | 30.6 | 29.1 | 36.9 | 30.3 | 30.7 | 0.13 | 1.14 | (0.74–1.75) | 1.15 | (0.73–1.80) | 0.55 |
| All | 25.3 | 28.8 | 23.0 | 27.3 | 25.5 | 25.8 | 0.43 | |||||
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| Residents | 1.3 | 1.3 | 0.9 | 0.7 | 0.7 | 0.9 | <0.01 | 0.52 | (0.31–0.88) | 0.57 | (0.34–0.96) | 0.04 |
| Migrants | 2.4 | 1.0 | 1.2 | 0.9 | 1.0 | 1.3 | <0.01 | 0.40 | (0.18–0.89) | 0.39 | (0.17–0.88) | 0.02 |
| All | 1.6 | 1.3 | 0.9 | 0.7 | 0.8 | 1.0 | <0.01 | |||||
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| Residents | 72.5 | 78.2 | 76.7 | 81.7 | 79.4 | 78.1 | <0.01 | 1.47 | (1.30–1.66) | 1.45 | (1.29–1.64) | <0.01 |
| Migrants | 71.1 | 75.3 | 73.4 | 82.1 | 78.4 | 76.3 | <0.01 | 1.48 | (1.19–1.85) | 1.48 | (1.18–1.85) | <0.01 |
| All | 72.1 | 77.6 | 76.1 | 81.8 | 79.2 | 77.7 | <0.01 | |||||
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| Residents | 8.1 | 7.1 | 9.0 | 7.3 | 8.8 | 8.1 | 0.13 | 1.10 | (0.91–1.32) | 1.12 | (0.93–1.36) | 0.23 |
| Migrants | 11.1 | 10.9 | 12.1 | 14.1 | 9.2 | 11.4 | 0.34 | 0.81 | (0.59–1.11) | 0.83 | (0.60–1.14) | 0.25 |
| All | 8.9 | 7.9 | 9.6 | 8.6 | 8.9 | 8.8 | 0.30 | |||||
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| Residents | 12.8 | 8.9 | 6.5 | 5.5 | 6.5 | 7.6 | <0.01 | 0.48 | (0.40–0.57) | 0.48 | (0.40–0.57) | <0.01 |
| Migrants | 15.4 | 9.4 | 7.9 | 5.8 | 8.1 | 9.2 | <0.01 | 0.48 | (0.35–0.66) | 0.48 | (0.35–0.65) | <0.01 |
| All | 13.4 | 9.0 | 6.8 | 5.5 | 6.8 | 7.9 | <0.01 | |||||
Note: #Odds Ratio was calculated by direct comparing the year 2014 to the year 2010 (reference group); *Multivariate models were adjusted for the following variables: age, marital status (ref = married), education. P < 0.01.
Figure 1Trend of HIV (A) and syphilis (B) prevalence (overall, migrants, residents) for the participants during 2010 to 2014 in Jiangsu. (Created by Microsoft Excel, Redmond, Washington, the United States available at https://www.microsoftstore.com.cn/c/office?Icid=StoreNavi_Office).
HIV-Related Services and Behaviors for HIV negative and positive MSM* in Jiangsu (2010–2014, N = 19,750).
| Variable | 2010 (%) | 2011 (%) | 2012 (%) | 2013 (%) | 2014 (%) | Overall | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| HIV− | 76.2 | (2121/2783) | 78.8 | (2408/3057)a | 75.0 | (2960/3948)a | 78.2 | (3007/3846) a | 80.1 | (3485/4351) | 77.7 | (13981/17985)a |
| HIV+ | 76.4 | (207/271) | 86.2 | (225/261) | 82.3 | (345/419) | 87.0 | (314/361) | 81.1 | (344/424) | 82.7 | (1435/1736) |
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| HIV− | 66.1 | (1380/2088) | 73.2 | (1739/2377)a | 73.1 | (2123/2904)a | 72.4 | (2173/3001)a | 71.3 | (2475/3473)a | 71.4 | (9890/13843)a |
| HIV+ | 63.4 | (128/202) | 66.5 | (149/224) | 67.3 | (231/343) | 60.1 | (188/313) | 61.0 | (210/344) | 63.5 | (906/1426) |
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| HIV− | 38.6 | (801/2073) | 45.6 | (1084/2376) a | 43.8 | (1267/2891)a | 44.1 | (1323/3002)a | 42.2 | (1463/3463)a | 43.0 | (5938/13805)a |
| HIV+ | 34.8 | (69/198) | 32.0 | (71/222) | 35.8 | (123/344) | 26.6 | (83/312) | 28.2 | (97/344) | 31.2 | (443/1420) |
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| HIV− | 7.2 | (150/2116) | 6.3 | (151/2398) | 4.1 | (122/2965) | 3.1 | (92/3007) | 4.7 | (165/3474)a | 4.9 | (683/13960) |
| HIV+ | 8.8 | (18/204) | 3.6 | (8/224) | 5.3 | (18/342) | 3.2 | (10/314) | 7.8 | (27/344) | 5.7 | (81/1428) |
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| HIV− | 79.7 | (118/148) | 85.4 | (129/151) | 67.8 | (82/121) | 80.2 | (73/91) | 89.0 | (145/163)a | 81.2 | (547/674)a |
| HIV+ | 76.5 | (13/17) | 85.7 | (6/7) | 73.3 | (11/15) | 70.0 | (7/10) | 59.3 | (16/27) | 69.7 | (53/76) |
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| HIV− | 51.0 | (76/146)a | 62.3 | (94/151) | 43.1 | (50/116) | 58.7 | (54/92) | 55.8 | (91/163)a | 54.4 | (365/671) |
| HIV+ | 72.2 | (13/18) | 75.0 | (6/8) | 50.0 | (9/18) | 50.0 | (5/10) | 29.6 | (8/27) | 50.6 | (41/81) |
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| HIV− | 29.6 | (823/2777)a | 28.4 | (869/3056) | 33.5 | (1324/3951)a | 27.5 | (1057/3843) | 28.2 | (1226/4343) | 29.5 | (5299/17970) |
| HIV+ | 37.4 | (101/270) | 30.3 | (79/261) | 26.1 | (109/417) | 24.2 | (87/360) | 24.2 | (102/422) | 27.6 | (478/1730) |
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| HIV− | 42.5 | (348/819) | 48.9 | (417/853) | 59.9 | (777/1297) | 56.2 | (591/1052) | 49.6 | (606/1221) | 52.3 | (2739/5242) |
| HIV+ | 42.4 | (42/99) | 48.1 | (38/79) | 53.2 | (58/109) | 54.0 | (47/87) | 55.9 | (57/102) | 50.8 | (242/476) |
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| HIV− | 24.8 | (200/808) | 29.1 | (247/849) | 22.8 | (294/1292) | 26.7 | (281/1054) | 24.7 | (301/1218)a | 25.3 | (1323/5221) a |
| HIV+ | 28 | (28/94) | 25.3 | (20/79) | 26.2 | (28/107) | 35.6 | (31/87) | 34.7 | (35/101) | 30.3 | (142/468) |
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| HIV− | 1.7 | (46/2782) | 1.2 | (35/3040)a | 0.9 | (37/3949) | 0.7 | (26/3845) | 0.6 | (26/4334)a | 0.9 | (170/17950)a |
| HIV+ | 1.1 | (3/270) | 2.7 | (7/261) | 0.7 | (3/415) | 1.1 | (4/361) | 2.4 | (10/421) | 1.6 | (27/1728) |
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| HIV− | 71.5 | (1997/2792) | 77.7 | (2391/3076) | 76.4 | (3028/3965) | 82.3 | (3166/3846)a | 80.1 | (3485/4351)a | 78.0 | (14067/18030)a |
| HIV+ | 78.7 | (214/272) | 76.0 | (199/262) | 73.7 | (309/419) | 76.5 | (276/361) | 71.0 | (301/424) | 74.7 | (1299/1738) |
Note: *Those information were collected before HIV diagnosis. aRepresents statistical significance, P < 0.05.
Figure 2Map of Jiangsu showing the geographical distribution of HIV (A) and syphilis (B) prevalence among MSM in 2014 in 13 cities. (Created by Epi Info 3.5.1 software, Centers for Disease Control and Prevention, Atlanta, GA, USA, available at http://www.cdc.gov/epiinfo/index.html ).
Odds ratios Between Human Immunodeficiency Virus (HIV) and Syphilis Among MSM in different regions of Jiangsu, 2014 (n = 4,766).
| Variable | Regiona | Migrants | Residents | Overall | |||
|---|---|---|---|---|---|---|---|
| Crude OR# (95% CI) | Adjusted OR# (95% CI) | Crude OR# (95% CI) | Adjusted OR# (95% CI) | Crude OR# (95% CI) | Adjusted OR# (95% CI) | ||
| HIV |
| Ref | |||||
|
| 0.37 (0.18–0.75)* | 0.3 (0.14–0.64)* | 0.88 (0.67–1.17) | 0.87 (0.65–1.16) | 0.77 (0.59–0.99) | 0.74 (0.57–0.96) | |
|
| 0.51 (0.20–1.29) | 0.52 (0.20–1.33) | 0.63 (0.49-0.82)* | 0.57 (0.43–0.74)* | 0.61(0.48–0.78)* | 0.58 (0.45–0.74)* | |
| Syphilis |
| Ref | |||||
|
| 0.71 (0.38–1.32) | 0.59 (0.31–1.13) | 0.65 (0.46–0.93) | 0.61 (0.43–0.88)* | 0.66 (0.48–0.89)* | 0.6 (0.44–0.81)* | |
|
| 0.8 (0.33–1.92) | 0.82 (0.34–1.97) | 0.77 (0.58–1.02) | 0.7 (0.52–0.94) | 0.74 (0.57–0.96) | 0.68 (0.52–0.88)* | |
Note: aSouth Jiangsu: Nanjing, Wuxi, Changzhou, Suzhou, Zhenjiang; Central Jiangsu: Nantong, Yangzhou, Taizhou; North Jiangsu: Xuzhou, Lianyungang, Huai’an, Yancheng, Suqian.
#Odds Ratio was calculated by direct comparing region Central Jiangsu and North Jiangsu to South Jiangsu (reference group); Multivariate models were adjusted for the following variables: age, marital status (ref = married), education. *Represents statistical significance. P < 0.01.