Estimating risk factors for HIV infection among women in Mozambique using population-based survey data

Sara S Dias, Francisco Mbofana, Sheyla R Cassy, Sónia Dias, GF Augusto , Victor Agadjanian, Maria R O Martins

Research output: Contribution to journalArticle

Abstract

The use of population-based survey data together with sound statistical methods can enhance better estimation of HIV risk factors and explain variations across subgroups of the population. The distribution and determinants of HIV infection in populations must be taken into consideration. We analysed data from the HIV Prevalence and Behaviour Survey in Mozambique aiming to find risk factors associated with HIV infection among Mozambican women. The paper provides a complex survey logistic regression model to explain the variation in HIV seropositivity using demographic, socio-economic and behavioural factors. Results show that women aged 25-29 years, living in female-headed households, living in richer households and those widowed, divorced or not living with a partner have higher odds of being HIV-positive. Findings from our study provide a unique and integrated perspective on risk factors for being HIV-positive among Mozambican women and could support the implementation of programmes aiming to reduce HIV infection in Mozambique.

Original languageEnglish
Pages (from-to)62-71
Number of pages10
JournalAfrican Journal of AIDS Research (AJAR)
Volume17
Issue number1
DOIs
Publication statusPublished - Mar 2018

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Mozambique
HIV Infections
HIV
Population
Logistic Models
HIV Seropositivity
Widowhood
Divorce
Economics
Demography
Surveys and Questionnaires

Keywords

  • HIV/AIDS
  • HIV/AIDS knowledge and attitudes
  • Mozambican women
  • complex survey
  • logistic regression

Cite this

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title = "Estimating risk factors for HIV infection among women in Mozambique using population-based survey data",
abstract = "The use of population-based survey data together with sound statistical methods can enhance better estimation of HIV risk factors and explain variations across subgroups of the population. The distribution and determinants of HIV infection in populations must be taken into consideration. We analysed data from the HIV Prevalence and Behaviour Survey in Mozambique aiming to find risk factors associated with HIV infection among Mozambican women. The paper provides a complex survey logistic regression model to explain the variation in HIV seropositivity using demographic, socio-economic and behavioural factors. Results show that women aged 25-29 years, living in female-headed households, living in richer households and those widowed, divorced or not living with a partner have higher odds of being HIV-positive. Findings from our study provide a unique and integrated perspective on risk factors for being HIV-positive among Mozambican women and could support the implementation of programmes aiming to reduce HIV infection in Mozambique.",
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Estimating risk factors for HIV infection among women in Mozambique using population-based survey data. / Dias, Sara S; Mbofana, Francisco; Cassy, Sheyla R; Dias, Sónia; Augusto , GF; Agadjanian, Victor; Martins, Maria R O.

In: African Journal of AIDS Research (AJAR), Vol. 17, No. 1, 03.2018, p. 62-71.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Estimating risk factors for HIV infection among women in Mozambique using population-based survey data

AU - Dias, Sara S

AU - Mbofana, Francisco

AU - Cassy, Sheyla R

AU - Dias, Sónia

AU - Augusto , GF

AU - Agadjanian, Victor

AU - Martins, Maria R O

PY - 2018/3

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AB - The use of population-based survey data together with sound statistical methods can enhance better estimation of HIV risk factors and explain variations across subgroups of the population. The distribution and determinants of HIV infection in populations must be taken into consideration. We analysed data from the HIV Prevalence and Behaviour Survey in Mozambique aiming to find risk factors associated with HIV infection among Mozambican women. The paper provides a complex survey logistic regression model to explain the variation in HIV seropositivity using demographic, socio-economic and behavioural factors. Results show that women aged 25-29 years, living in female-headed households, living in richer households and those widowed, divorced or not living with a partner have higher odds of being HIV-positive. Findings from our study provide a unique and integrated perspective on risk factors for being HIV-positive among Mozambican women and could support the implementation of programmes aiming to reduce HIV infection in Mozambique.

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KW - HIV/AIDS knowledge and attitudes

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