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1.
AIDS Behav ; 20(12): 2812-2826, 2016 12.
Artigo em Inglês | MEDLINE | ID: mdl-26961381

RESUMO

Gay, bisexual, and other men who have sex with men (MSM) have adapted their sexual practices over the course of the HIV/AIDS epidemic based on available data and knowledge about HIV. This study sought to identify and compare patterns in condom use among gay, bisexual, and other MSM who were tested for HIV at a community-based testing site in Montreal, Canada. Results showed that while study participants use condoms to a certain extent with HIV-positive partners and partners of unknown HIV status, they also make use of various other strategies such as adjusting to a partner's presumed or known HIV status and viral load, avoiding certain types of partners, taking PEP, and getting tested for HIV. These findings suggest that MSM who use condoms less systematically are not necessarily taking fewer precautions but may instead be combining or replacing condom use with other approaches to risk reduction.


Assuntos
Sorodiagnóstico da AIDS/estatística & dados numéricos , Testes Anônimos , Preservativos/estatística & dados numéricos , Infecções por HIV/prevenção & controle , Infecções por HIV/transmissão , Homossexualidade Masculina/estatística & dados numéricos , Comportamento de Redução do Risco , Comportamento Sexual/estatística & dados numéricos , Minorias Sexuais e de Gênero/estatística & dados numéricos , Sexo sem Proteção/prevenção & controle , Sexo sem Proteção/estatística & dados numéricos , Adulto , Conhecimentos, Atitudes e Prática em Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Quebeque , Parceiros Sexuais
2.
Epidemiology ; 21(5): 669-75, 2010 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-20585251

RESUMO

BACKGROUND: Previous studies estimating the fraction of transmissions from persons with primary HIV have not focused on the effects of switching sex role in male homosexual populations. Such behavioral fluctuations can increase the contribution of primary HIV in the overall population. METHODS: We modeled HIV transmission with 8 compartments defined by 4 behavioral groups, with different anal-insertive and anal-receptive combinations, and 2 stages of infection. We explored the effects of fluctuating behavioral categories on endemic prevalence and the fraction of transmissions from primary HIV. We varied transition rates to develop the theory on how behavioral fluctuation affects infection patterns, and we used the transition rates in a Netherlands cohort to assess overall effects in a real setting. RESULTS: The dynamics of change in behavior-group status over time observed in the Netherlands cohort amplifies the prevalence of infection and the fraction of transmissions from primary HIV, resulting in the highest proportions of transmissions being from people with primary HIV. Fluctuation between dual- or receptive-role periods and no-anal-sex periods mainly determines this amplification. In terms of the total transmissions, the dual-role risk group is dominant. Fluctuation between insertive and receptive roles decreases the fraction of transmissions from primary HIV, but such fluctuation is infrequently observed. CONCLUSION: The fraction of transmissions from primary HIV is considerably raised by fluctuations in insertive and receptive anal sex behaviors. This increase occurs even when primary HIV or later infection status does not influence risk behavior. Thus, it is not simply biology but also behavior patterns and social contexts that determine the fraction of transmissions from primary HIV. Moreover, each primary HIV transmission has a larger population effect than each later infection transmission because the men to whom one transmits from primary HIV carry on more chains of transmissions than the men to whom one transmits later in infection. Reducing transmissions from primary HIV should be a primary focus of HIV control efforts.


Assuntos
Infecções por HIV/transmissão , Homossexualidade Masculina , Comportamento Sexual , Estudos de Coortes , Infecções por HIV/epidemiologia , Humanos , Masculino , Países Baixos/epidemiologia , Prevalência , Fatores de Risco , Assunção de Riscos
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