Optimized Nursing Home Dinner Menus in Norway with Environmental Impact Metrics

A 12-week comparison of standard and AI-optimized dinner menus from a catering company in Eastern Norway, created by Gizem Aytekin-Sahin and last updated in April 2026. The dataset likely contains metrics for nutrient composition, menu quality, and environmental footprints. It is a small document (14.6 KB) detailing the results of a multi-objective optimization study.

Use Cases

• Benchmarking menu quality based on the Elderly Nutrient Rich Food Index (E-NRF 7.3) and Dietary Diversity Score (DDS) metrics mentioned in the description.
• Analyzing environmental impact reductions based on reported carbon and water footprint changes.
• Evaluating compliance with national dietary guidelines based on the Norwegian Food-Based Dietary Guidelines (FBDG) framework.
• Developing or validating AI menu planning tools based on the EvoMeal optimization method described.

Strengths

• Reports specific environmental impact reductions: carbon footprint reduced by up to -42.34% and water footprint by up to -36.12%.
• Compares two distinct menu types (standard vs. optimized) over a 12-week period.
• Uses multiple established evaluation frameworks: FBDG, E-NRF 7.3, DDS, carbon and water footprints.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (14.6 KB), indicating limited scope, likely containing summary results rather than raw meal-level data.

Provenance

Source

figshare, authored by Gizem Aytekin-Sahin.

Collection Method

Menus were collected from a catering company in Eastern Norway and optimized using the EvoMeal AI tool.

Time Range

Covers a 12-week period for dinner menus.

Freshness

Last updated 2026-04-16 04:19:08; freshness should be verified.

Geography

Eastern Norway, specifically nursing homes served by the catering company.