Objectives
To conduct the first
population size estimation and biological and behavioral surveillance survey
among men who have sex with men (MSM) in Angola.
Design
Population size estimation
with multiplier method and a cross-sectional study using respondent-driven sampling.
Setting
Luanda Province, Angola.
Study was conducted in a large hospital.
Participants
Seven hundred ninety-two
self-identified MSM accepted a unique object for population size estimation.
Three hundred fifty-one MSM were recruited with respondent-driven sampling for
biological and behavioral surveillance survey.
Methods
Interviews and testing for
HIV and syphilis were conducted on-site. Analysis used Respondent-Driven
Sampling Analysis Tool and STATA 11.0. Univariate, bivariate, and multivariate analyses
examined factors associated with HIV and unprotected sex. Six imputation
strategies were used for missing data for those refusing to test for HIV.
Main Outcome
A population size of 6236
MSM was estimated. Twenty-seven of 351 individuals were tested positive.
Adjusted HIV prevalence was 3.7% (8.7% crude). With imputation, HIV
seroprevalence was estimated between 3.8% [95% confidence interval (CI): 1.6 to
6.5] and 10.5% (95% CI: 5.6 to 15.3). Being older than 25 (odds ratio = 10.8,
95% CI: 3.5 to 32.8) and having suffered episodes of homophobia (odds ratio =
12.7, 95% CI: 3.2 to 49.6) significantly increased the chance of HIV
seropositivity.
Conclusions
Risk behaviors are widely
reported, but HIV seroprevalence is lower than expected. The difference between
crude and adjusted values was mostly due to treatment of missing values in
Respondent-Driven Sampling Analysis Tool. Solutions are proposed in this
article. Although concerns were raised about feasibility and adverse outcomes
for MSM, the study was successfully and rapidly completed with no adverse
effects.
Below: Social network of MSM for the outcome of the test HIV obtained by different allocation procedures.
Total No. Sexual Partners in the Last 6 Months | N | Mean | SD | Minimum | Median | Maximum |
---|---|---|---|---|---|---|
Only transwomen | 52 | 3.77 | 3.50 | 1 | 3 | 18 |
Only men | 100 | 9.24 | 29.25 | 1 | 3 | 283 |
Transwomen and men | 33 | 7.30 | 8.46 | 2 | 4 | 36 |
Transwomen and women | 56 | 6.05 | 3.94 | 2 | 5 | 18 |
Men and women | 50 | 6.98 | 7.20 | 2 | 6 | 50 |
Transwomen, men, and women | 35 | 15.71 | 18.56 | 4 | 11 | 117 |
Full article at: http://goo.gl/n5xFjN
By: Carl Kendall, PhD,* Ligia Regina Franco Sansigolo Kerr, MD, MPH, PhD,† Rosa Maria Salani Mota, MS, PhD,† Socorro Cavalcante, MPH, PhD,‡ Raimunda Hermelinda Maia Macena, MPH, PhD,† Sanny Chen, MPH, PhD,§ Nicholas Gaffga, MD,§ Edgar Monterosso, MPH, MD,§ Fransisco I. Bastos, MD, PhD,|| and Dulcelina Serrano, MD¶
*Department of Global Community Health and
Behavioral Sciences, School of Public Health and Tropical Medicine, Tulane
University, New Orleans, LA
†Department of Community Health, Federal
University of CearĂ¡, Fortaleza, Brazil
‡Department of Epidemiological
Surveillance, Ministry of Health, Fortaleza, Fortaleza, Brazil
§Centers for Disease Control and
Prevention, Atlanta, Georgia, USA
||Oswaldo Cruz Foundation, Rio de Janeiro,
Brazil
¶Director, National Institute of the Fight
against AIDS, Luanda, Angola
Correspondence to: Carl Kendall, PhD, Department of Global
Community Health and Behavioral Sciences, School of Public Health and Tropical
Medicine, Tulane University, 1440 Canal Street, New Orleans, LA 70112 (Email: moc.liamg@lladnek.lrac)
More at: https://twitter.com/hiv insight
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