Factors associated with post-diagnosis pregnancies in women living with HIV in the south of Brazil.
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ABSTRACT: Objectives
To analyze the factors associated with the occurrence of pregnancies after the diagnosis of infection by HIV.Methods
Cross-sectional study with women of a reproductive age living with HIV/AIDS cared for in the public services of the city of Porto Alegre, in southern Brazil. The data was analyzed from a comparison between two groups: women with and women without pregnancies after the diagnosis of HIV. Poisson regression models were used to estimate the reasons of prevalence (RP).Results
The occurrence of pregnancies after the diagnosis of HIV is associated with a lower level of education (RP adjusted = 1.31; IC95%: 1.03-1.66), non-use of condoms in the first sexual intercourse (RP = 1.32; IC95%: 1.02-1.70), being 20 years old or less when diagnosed with HIV (RP = 3.48; IC95%: 2.02-6.01), and experience of violence related to the diagnosis of HIV (RP = 1.28; IC95%: 1.06-1.56).Conclusions
The occurrence of pregnancies after the diagnosis of infection by HIV does not indicate the exercise of the reproductive rights of the women living with HIV/AIDS because these pregnancies occurred in contexts of great vulnerability.
SUBMITTER: Teixeira LB
PROVIDER: S-EPMC5319676 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
Publications
Factors associated with post-diagnosis pregnancies in women living with HIV in the south of Brazil.
Teixeira Luciana Barcellos LB Pilecco Flávia Bulegon FB Vigo Álvaro Á Drachler Maria de Lourdes ML Leite José Carlos de Carvalho JC Knauth Daniela Riva DR
PloS one 20170221 2
<h4>Objectives</h4>To analyze the factors associated with the occurrence of pregnancies after the diagnosis of infection by HIV.<h4>Methods</h4>Cross-sectional study with women of a reproductive age living with HIV/AIDS cared for in the public services of the city of Porto Alegre, in southern Brazil. The data was analyzed from a comparison between two groups: women with and women without pregnancies after the diagnosis of HIV. Poisson regression models were used to estimate the reasons of preval ...[more]
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