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 journalArticlepeer-review

4 Citations (Scopus)


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)
Issue number1
Publication statusPublished - Mar 2018


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

Fingerprint Dive into the research topics of 'Estimating risk factors for HIV infection among women in Mozambique using population-based survey data'. Together they form a unique fingerprint.

Cite this