| Literature DB >> 26820145 |
Dongliang Li1, Xueying Yang1,2, Zheng Zhang1, Zixin Wang2, Xiao Qi1, Yuhua Ruan3, Yunhua Zhou4, Chunrong Li2, Fengji Luo1, Joseph T F Lau2.
Abstract
BACKGROUND: The HIV-epidemic among MSM in China has worsened. In this key population, prevalence of HSV-2 and syphilis infection and co-infection with HIV is high.Entities:
Mesh:
Year: 2016 PMID: 26820145 PMCID: PMC4731205 DOI: 10.1371/journal.pone.0147422
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Processes for constructing the three cohorts for estimation of incidence of co-infections (HIV-HSV-2, HIV-Syphilis, HSV-2-Syphilis).
Fig 2Processes for constructing the fourth cohort for estimation of incidence of co-infections (HIV-HSV-2, HIV-Syphilis, HSV-2-Syphilis, excluding all three infections at baseline).
Background characteristic of members of the three cohorts constructed for estimating incidence of co-infection.
| Characteristics | Cohort of HIV and HSV-2 negative MSM (N = 857) n (%) | Cohort of HIV and syphilis negative MSM (N = 757) n (%) | Cohort of syphilis and HSV-2 negative MSM (N = 760) n (%) | |
|---|---|---|---|---|
| Age group (year) | <30 | 575(67.1) | 515(68.0) | 528(69.5) |
| ≥30 | 282(32.9) | 242(32.0) | 232(30.5) | |
| Ever married | Yes | 141(16.5) | 122(16.1) | 120(15.8) |
| No | 716(83.5) | 635(83.9) | 640(84.2) | |
| Registered Beijing resident | No | 713(83.2) | 629(83.1) | 638(84.0) |
| Yes | 144(16.8) | 128(16.9) | 122(16.0) | |
| Ethnicity | Han | 796(92.9) | 705(93.1) | 709(93.3) |
| Minority | 61(7.1) | 52(6.9) | 51(6.7) | |
| Junior college or higher | No | 423(49.4) | 364(48.1) | 361(47.5) |
| Yes | 434(50.6) | 393(51.9) | 399(52.5) | |
| Monthly income, USD | ≤300 | 358(41.8) | 314(41.5) | 313(41.2) |
| >300 | 499(58.2) | 443(58.5) | 447(58.8) | |
| Self-identified sex orientation | Not homosexual | 287(33.5) | 258(34.1) | 262(34.5) |
| Homosexual | 570(66.5) | 499(65.9) | 498(65.5) | |
Associations of the socio-demographic characteristic with loss of follow-up among MSM in Beijing, China, using univariate logistic regression model (N = 962).
| Characteristics | Loss-to-follow-up N (%) | OR(95%CI) | ||
|---|---|---|---|---|
| Age, yr | <30 | 129(20.38) | 1 | |
| ≥30 | 64(19.45) | 0.94(0.68,1.32) | 0.7336 | |
| Ever married | Yes | 20(12.66) | 1 | |
| No | 173(21.52) | 1.89(1.15,3.11) | ||
| Beijing resident | Yes | 9(5.73) | 1 | |
| No | 184(22.86) | 4.87(2.44,9.74) | ||
| Ethnicity | Han | 184(20.54) | 1 | |
| Minority | 9(13.64) | 0.61(0.30,1.26) | 0.1768 | |
| Junior college or higher | Yes | 67(14.23) | 1 | |
| No | 126(25.66) | 2.08(1.50,2.89) | ||
| Monthly income, USD | ≤300 | 80(20.30) | 1 | |
| >300 | 113(19.89) | 0.97(0.71,1.34) | 0.8759 | |