Household food insecurity among refugees: examining variations across different climatic contexts in Ugandan refugee settlements.
Food insecurity is prevalent among refugees in Uganda, particularly in larger and female-headed households, highlighting the need for targeted interventions.
Where it sits
this study against the rest of the melanotan i (mt-i) corpusSummary and findings
This study assessed household food insecurity among 600 refugees across three settlements in Uganda, focusing on variations by climatic region. The findings indicated a high prevalence of food insecurity, particularly in the Rhino Camp settlement. Factors such as household size, gender of the head, and education level were associated with food insecurity levels.
Abstract
<h4>Background</h4>Over a quarter of Uganda's population is food-insecure. Agrarian refugee populations are disproportionately affected; however, evidence on how food insecurity varies across refugee settlements by climatic region remains limited.<h4>Objective</h4>We assessed refugee household food insecurity across three settlements located in different climatic regions of Uganda.<h4>Methods</h4>A cross-sectional study was conducted among 600 refugees from Kiryandongo, Nakivale, and Rhino Camp (200 per settlement). The Household Food Insecurity Access Scale was used to assess food insecurity and to compare it across and within settlements, using the adjusted chi-square test and post hoc survey-weighted tests. Modified Poisson regression identified factors associated with food insecurity, with 95% confidence intervals.<h4>Results</h4>Household food insecurity was high (84.7%, 508/600) and varied significantly by settlement and background characteristics. Prevalence was highest among households in Rhino Camp settlement (100%, <i>p</i> < 0.001), situated within the unimodal rainfall region, among female-headed households (<i>p</i> = 0.009) and among households with heads aged 18-30 years (<i>p</i> = 0.02). Households with 7-12 members had a 10% higher prevalence compared with those with 1-6 members (APR = 1.10; 95% CI: 1.02-1.19). Conversely, food insecurity was 9% lower among households with married heads (APR = 0.91; 95% CI: 0.85-0.97), and 12% lower among households whose heads had secondary education or higher (APR = 0.88; 95% CI: 0.79-0.99).<h4>Conclusions</h4>Food insecurity was more prevalent in unimodal rainfall regions, larger families, female-headed households, and those with older heads. In contrast, households with higher education levels were more food secure. Implementing gender-sensitive interventions and educational initiatives would be essential for improving food security.
Background
This paper addresses the issue of food insecurity among agrarian refugee populations in Uganda, a significant concern given that over a quarter of the country's population is food-insecure. Previous research has indicated that refugee populations are disproportionately affected, yet there is limited evidence on how food insecurity varies across different climatic regions. Understanding these variations is crucial for developing targeted interventions.
Methods
A cross-sectional study design was employed, involving 600 refugees from three settlements: Kiryandongo, Nakivale, and Rhino Camp, with 200 participants from each. The Household Food Insecurity Access Scale was utilized to assess food insecurity levels, and statistical analyses included adjusted chi-square tests and modified Poisson regression to identify associated factors. The study measured both primary and secondary outcomes related to food insecurity.
Results
The primary finding was that 84.7% of households were food insecure, with significant variation observed across settlements. Specifically, food insecurity was highest in Rhino Camp at 100%, p<0.001. Factors such as household size, gender of the head, and education level were statistically significant, with adjusted prevalence ratios indicating higher food insecurity in larger households and female-headed households.
Interpretation
The results align with existing literature indicating that larger household sizes and female-headed households are at greater risk for food insecurity. While the statistical significance of the findings is clear, the clinical significance may be limited by the high overall prevalence of food insecurity. Confounding factors include the study's cross-sectional nature and potential biases in self-reported data, which may affect the reliability of the conclusions drawn.
Key findings
- 84.7% of households were food insecure, n=600.
- 100% prevalence of food insecurity in Rhino Camp, p<0.001.
- 10% higher prevalence of food insecurity in households with 7-12 members compared to 1-6 members (APR=1.10; 95% CI: 1.02-1.19).
- 9% lower food insecurity in households with married heads (APR=0.91; 95% CI: 0.85-0.97).
- 12% lower food insecurity in households with heads having secondary education or higher (APR=0.88; 95% CI: 0.79-0.99).
Limitations
- cross-sectional design limits causal inferences
- self-reported data may introduce bias
- single-site study may not generalize
- no longitudinal follow-up to assess changes over time