Nutrition and Food Production Survey in Palorinya Refugee Settlement

Martine Asobasi's dataset contains a cross-sectional survey of 316 households in the Palorinya refugee settlement in northwestern Uganda. It assesses the contribution of own food production to household dietary diversity score (HDDS) and nutrient intake adequacy.

Use Cases

• Analyze the relationship between household dietary diversity score (HDDS) and predictors like education level, land access, and kitchen garden presence.
• Model nutrient intake adequacy for calcium, iron, zinc, and protein against household income and occupation variables.
• Examine the contribution of own food production to specific food group consumption, such as vegetables or animal-sourced foods like meat and dairy.

Strengths

• Data from a defined population of 316 randomly selected households.
• Includes analysis of specific nutrient intake adequacy for calcium, iron, zinc, protein, and energy.
• Focus on a specific, understudied geography and population: a refugee settlement in northwestern Uganda.

Limitations

• Small sample size of 316 households limits generalizability and statistical power for complex models.
• Cross-sectional design captures a single point in time, preventing causal or longitudinal analysis.
• Specific column names and data structure are not provided, complicating immediate technical use.

Provenance

Source

figshare, author Martine Asobasi

Collection Method

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

Time Range

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Freshness

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Geography

Palorinya refugee settlement, northwestern Uganda