Household Dietary Survey in Palorinya Refugee Settlement, Uganda

Martine Asobasi's study provides a cross-sectional survey of 316 households in the Palorinya refugee settlement, northwestern Uganda. It assesses the contribution of own food production to dietary diversity and nutrient intake adequacy, analyzing factors like education level and land access.

Use Cases

• Analyze the relationship between household dietary diversity score (HDDS) and predictors like education level and kitchen garden presence using Poisson regression.
• Model nutrient intake adequacy for calcium, iron, zinc, and protein against variables such as access to agricultural land and household income.
• Examine the contribution percentages of own food production to specific food groups, such as vegetable consumption (85.0%) and animal-sourced foods (3-7.5%).
• Identify key predictors of dietary outcomes from the study's results, including size of agricultural land and occupation.

Strengths

• Data is derived from a structured survey of 316 randomly selected households.
• Analysis includes specific contribution percentages for food groups, such as 85.0% for vegetables from own production.
• Results detail the percentage of households falling short of RDA for key nutrients, including 100% for calcium.

Limitations

• The dataset is small in scale at 9.5 KB, indicating limited raw data or aggregated results only.
• As a single cross-sectional survey, it captures a snapshot in time without longitudinal trends.
• Findings are geographically specific to one refugee settlement in Uganda, limiting generalizability.

Provenance

Source

Martine Asobasi via figshare.

Collection Method

Cross-sectional survey using 24-hour dietary recall and food composition tables.

Time Range

null

Freshness

Last updated March 2026.

Geography

Palorinya refugee settlement, northwestern Uganda.