| Literature DB >> 23634201 |
Amaya G Perez-Brumer1, Kelika A Konda, H Javier Salvatierra, Eddy R Segura, Eric R Hall, Silvia M Montano, Thomas J Coates, Jeff D Klausner, Carlos F Caceres, Jesse L Clark.
Abstract
BACKGROUND: Further research is necessary to understand the factors contributing to the high prevalence of HIV/STIs among men who have sex with men (MSM) in Peru. We compared HIV/STI prevalence and risk factors between two non-probability samples of MSM, one passively enrolled from an STI clinic and the other actively enrolled from community venues surrounding the clinic in Lima, Peru.Entities:
Mesh:
Year: 2013 PMID: 23634201 PMCID: PMC3636243 DOI: 10.1371/journal.pone.0059072
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographics, Prevalence of HIV, STIs, and Risk Behaviors in a Cross-Sectional Community-and Clinic-based Sample of Men Who Have Sex with Men in Lima, Peru; 2007.
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| Combined n = 560 (%) | Clinic n = 438 (%) | Community n = 122 (%) | p-value | |
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| Graduated High School | 435 (78.2) | 339 (77.6) | 96 (80.7) | 0.468 |
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| Homosexual | 198 (37.2) | 156 (37.6) | 42 (35.6) | |
| Bisexual | 60 (11.3) | 53 (12.8) | 7 (5.9) | |
| Transgender | 21 (22.7) | 97 (23.4) | 24 (20.3) | |
| Heterosexual | 154 (28.9) | 109 (26.3) | 45 (38.1) | |
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| 170 (32.0) | 124 (29.9) | 46 (39.3) | |
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| 179 (33.7) | 141 (34.0) | 38 (32.5) | |
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| 183 (34.4) | 150 (36.1) | 33 (28.2) | |
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| Syphilis (RPR≥1∶16) | 40 (7.4) | 32 (7.5) | 8 (6.7) | 0.766 |
| HSV-2 | 310 (55.4) | 248 (56.6) | 62 (50.8) | 0.254 |
| Urethral Gonorrhoea | 12 (2.1) | 11 (2.5) | 1 (0.8) | 0.254 |
| Urethral Chlamydia | 23 (4.1) | 16 (3.7) | 7 (5.7) | 0.305 |
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| Any Unprotected Anal Intercourse (6 Months) | 220 (40.1) | 177 (41.4) | 43 (35.2) | 0.494 |
| Median Number of Male Sex Partners ± IQR (6 Months) | 2 (1–6) | 2 (1–6) | 2 (1–7) | 0.787 |
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| Use of Alcohol Prior to Sex (1 Month) | 291 (53.9) | 229 (54.3) | 62 (52.5) | 0.74 |
| Use of Drugs Prior to Sex (3 Months) | 84 (15.3) | 72 (16.6) | 12 (10.2) | 0.084 |
Notes: Statistical significance for categorical variables was determined using chi-squared or Fisher’s exact tests and continuous variables assessed using Kruskal-Wallis or Student’s t-tests. Variables with missing data were calculated on available data. Variables in bold indicate that the comparison was statistical significant.
Figure 1Distribution of HIV Testing History for all MSM from the Clinic (n = 438) and Community-Based Sample (n = 122); Lima, Peru 2007.