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Subnational and lifecycle-specific estimates of diet costs support nutrition-sensitive policies and programmes

delete2025-06-01
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T
Turowska, Zuzanna
S
Sclama, Gregory
D
de Pee, Saskia
DOI:10.1016/j.gfs.2025.100838delete
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Abstract

Abstract

En 中文
National level estimates of diet costs are increasingly being published and serve to track global goals and compare costs across countries. Subnational level estimates, which can be aggregated to a national average, can be used to inform local policies and programmes. This study has two objectives: First, to assess whether national level diet costs from the Fill the Nutrient Gap (FNG) analysis are in line with national estimates from the Food Prices for Nutrition (FPN) Project and discuss methodological differences. Second, to review the added value of subnational and lifecycle-specific estimates from FNG to inform design of policies and programmes for improving nutrition of the most vulnerable groups. We examined the subnational estimates and national level averages of the cost of energy-sufficient and nutrient-adequate diets calculated in 26 FNG country analyses. We assessed the correlation with the corresponding national-level estimates for 2017 that were published in the FPN DataHub for energy-sufficient (r = 0.79, p < 0.001) and nutrient-adequate diets (r = 0.61, p = 0.001). For many countries, subnational variation of diet costs within the country was as large as variation across countries. Of individuals considered in the FNG approach, the cost of a nutrient-adequate diet was found to be highest for the adolescent girl. Subnational and lifecycle-specific estimates of the cost of nutrient needs from FNG analyses provided valuable additional information that has successfully informed policies and programmes in health, education and social protection sectors.
Keywords:
Diet cost
Cost of nutrient adequacy
Nutritional vulnerabilities
Food environment
Food system transformation
Fill the nutrient gap
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Global Food Security-Agriculture Policy Economics and Environment
IF:
9.6
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839
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7.0K

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