Food Insecurity and the Risk of HIV Acquisition: Findings from Populationbased Surveys in Six Sub-Saharan African Countries (2016-2017)

Simple item page
dc.contributor.authorLow, Andrea
dc.contributor.authorGummerson, Elizabeth
dc.contributor.authorSchwitters, Amee
dc.contributor.authorBonifacio, Rogerio
dc.contributor.authorTeferi, Mekleet
dc.contributor.authorMutenda, Nicholus
dc.contributor.authorAyton, Sarah
dc.contributor.authorJuma, James
dc.contributor.authorAhpoe, Claudia
dc.contributor.authorGinindza, Choice
dc.contributor.authorPatel, Hetal
dc.contributor.authorBiraro, Sam
dc.contributor.authorSachathep, Karam
dc.contributor.authorHakim, Avi
dc.contributor.authorBarradas, Danielle T.
dc.contributor.authorHassani, Ahmed Saadani
dc.contributor.authorKirungi, Wilford
dc.contributor.authorJackson, Keisha
dc.contributor.authorGoeke, Leah H.
dc.contributor.authorPhilip, Neena M.
dc.contributor.authorMulenga, Lloyd
dc.contributor.authorWard, Jennifer
dc.contributor.authorHong, Steven
dc.contributor.authorRutherford, George
dc.contributor.authorFindley, Sally
dc.date.accessioned2022-04-05T19:19:30Z
dc.date.available2022-04-05T19:19:30Z
dc.date.issued2021
dc.description.abstractFood insecurity has a bidirectional relationship with HIV infection, with hunger driving compensatory risk behaviors, while infection can increase poverty. We used a laboratory recency assay to estimate the timing of HIV infection vis-à-vis the timing of severe food insecurity (SFI).Data from population-based surveys in Zambia, Eswatini, Lesotho, Uganda, and Tanzania and Namibia were used. We defined SFI as having no food ≥three times in the past month. Recent HIV infection was identified using the HIV-1 LAg avidity assay, with a viral load (>1000 copies/ml) and no detectable antiretrovirals indicating an infection in the past 6 months. Logistic regression was conducted to assess correlates of SFI. Poisson regression was conducted on pooled data, adjusted by country to determine the association of SFI with recent HIV infection and risk behaviors, with effect heterogeneity evaluated for each country. All analyses were done using weighted data.Of 112,955 participants aged 15-59, 10.3% lived in households reporting SFI. SFI was most common in urban, woman-headed households. Among women and not men, SFI was associated with a two-fold increase in risk of recent HIV infection (adjusted relative risk [aRR] 2.08, 95% CI 1.09-3.97), with lower risk in high prevalence countries (Eswatini and Lesotho). SFI was associated with transactional sex (aRR 1.28, 95% CI 1.17-1.41), a history of forced sex (aRR 1.36, 95% CI 1.11-1.66), and condom-less sex with a partner of unknown or positive HIV status (aRR 1.08, 95% CI 1.02-1.14) in all women, and intergenerational sex (partner ≥10 years older) in women aged 15-24 (aRR 1.23, 95% CI 1.03-1.46), although this was heterogeneous. Recent receipt of food support was protective (aRR 0.36, 95% CI 0.14-0.88).SFI increased risk for HIV acquisition in women by two-fold. Worsening food scarcity due to climactic extremes could imperil HIV epidemic control.en_US
dc.identifier.citationLow, A., Gummerson, E., Schwitters, A., Bonifacio, R., Teferi, M., Mutenda, N., ... & Findley, S. (2021). Food insecurity and the risk of HIV acquisition: Findings from population-based surveys in six sub-Saharan African countries (2016-2017). medRxiv.https://doi.org/10.1101/2021.09.27.21263917en_US
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/2889
dc.language.isoenen_US
dc.publishermedRxiv.en_US
dc.subjectHIV acquisition, Africa, food insecurity, transactional sex, climate changeen_US
dc.titleFood Insecurity and the Risk of HIV Acquisition: Findings from Populationbased Surveys in Six Sub-Saharan African Countries (2016-2017)en_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Food Insecurity and the Risk of HIV Acquisition Findings from Population based.pdf
Size:
722.75 KB
Format:
Adobe Portable Document Format
Description:
Food Insecurity and the Risk of HIV Acquisition: Findings from Population based Surveys in Six Sub-Saharan African Countries (2016-2017)
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Medical and Health Sciences