Skip to main content
Top
Published in: BMC Nutrition 1/2017

Open Access 01-12-2017 | Software

Cost of the Diet: a method and software to calculate the lowest cost of meeting recommended intakes of energy and nutrients from local foods

Authors: Amy Deptford, Tommy Allieri, Rachel Childs, Claudia Damu, Elaine Ferguson, Jennie Hilton, Paul Parham, Abigail Perry, Alex Rees, James Seddon, Andrew Hall

Published in: BMC Nutrition | Issue 1/2017

Login to get access

Abstract

Background

When food is available, the main obstacle to access is usually economic: people may not be able to afford a nutritious diet, even if they know what foods to eat. The Cost of the Diet method and software was developed to apply linear programming to better understand the extent to which poverty may affect people’s ability to meet their nutritional specifications. This paper describes the principles of the method; the mathematics underlying the linear programming; the parameters and assumptions on which the calculations are based; and then illustrates the output of the software using examples taken from assessments.

Results

The software contains five databases: the energy and nutrient content of foods; the energy and nutrient specifications of individuals; predefined groups of individuals in typical households; the portion sizes of foods; and currency conversion factors. Data are collected during a market survey to calculate the average cost of foods per 100 g while focus group discussions are used to assess local dietary habits and preferences. These data are presented to a linear programming solver within the software which selects the least expensive combination of local foods for four standard diets that meet specifications for: energy only; energy and macronutrients; energy, macronutrients and micronutrients; and energy, macronutrients and micronutrients but with constraints on the amounts per meal that are consistent with typical dietary habits. Most parameters in the software can be modified by users to examine the potential impact of a wide range of theoretical interventions. The output summarises for each diet the costs, quantity and proportion of energy and nutrient specifications provided by all the foods selected for a given individual or household by day, week, season and year. When the cost is expressed as a percentage of income, the affordability of the diet can be estimated.

Conclusions

The Cost of the Diet method and software could be used to inform programme design and behaviour change communication in the fields of nutrition, food security, livelihoods and social protection as well as to influence policies and advocacy debates on the financial cost of meeting energy and nutrient specifications.
Appendix
Available only for authorised users
Literature
4.
go back to reference Newell F, Williams P, Watt C. Is the minimum enough? Affordability of a nutritious diet for minimum wage earners in Nova Scotia (2002–2012). Can J Public Health. 2014;105(3):e158–65.CrossRefPubMed Newell F, Williams P, Watt C. Is the minimum enough? Affordability of a nutritious diet for minimum wage earners in Nova Scotia (2002–2012). Can J Public Health. 2014;105(3):e158–65.CrossRefPubMed
5.
go back to reference Geniez P, Mathiassen A, de Pee S, Grede N, Rose D. Integrating food poverty and minimum cost diet methods into a single framework: a case study using a Nepalese household expenditure survey. Food Nutr Bull. 2014;35(2):151–9.CrossRefPubMed Geniez P, Mathiassen A, de Pee S, Grede N, Rose D. Integrating food poverty and minimum cost diet methods into a single framework: a case study using a Nepalese household expenditure survey. Food Nutr Bull. 2014;35(2):151–9.CrossRefPubMed
6.
go back to reference Boudreau T, editor. The Practitioners’ Guide to the Household Economy Approach. London: The Food Economy Group, the Regional Hunger and Vulnerability Programme, Save the Children; 2008. Boudreau T, editor. The Practitioners’ Guide to the Household Economy Approach. London: The Food Economy Group, the Regional Hunger and Vulnerability Programme, Save the Children; 2008.
7.
go back to reference World Food Programme. Timore Leste: market profile for emergency food security assessments. Rome: World Food Programme; 2006. World Food Programme. Timore Leste: market profile for emergency food security assessments. Rome: World Food Programme; 2006.
8.
go back to reference Ruel MT, Garrett JL, Morris SS, Maxwell D, Oshaug A, Engle P, et al. Urban challenges to food and nutrition security: a review of food security, health, and caregiving in the cities. Washington: International Food Policy Research Institute; 1998. Ruel MT, Garrett JL, Morris SS, Maxwell D, Oshaug A, Engle P, et al. Urban challenges to food and nutrition security: a review of food security, health, and caregiving in the cities. Washington: International Food Policy Research Institute; 1998.
11.
go back to reference Stadlmayr B, Charrondiere UR, Enujiugha VN, Bayili RG, Fagbohoun EG, Samb B, et al. West African Food Composition Table. Rome: Food and Agriculture Organization; 2012. Stadlmayr B, Charrondiere UR, Enujiugha VN, Bayili RG, Fagbohoun EG, Samb B, et al. West African Food Composition Table. Rome: Food and Agriculture Organization; 2012.
12.
go back to reference Shaheen N, Rahim A, Mohiduzzaman M. Food Composition Table for Bangladesh. Dhaka: Institute of Nutrition and Food Science, University of Dhaka; 2013. Shaheen N, Rahim A, Mohiduzzaman M. Food Composition Table for Bangladesh. Dhaka: Institute of Nutrition and Food Science, University of Dhaka; 2013.
14.
go back to reference WHO/FAO. Vitamin and mineral requirements in human nutrition. 2nd ed. Geneva: World Health Organization; 2004. WHO/FAO. Vitamin and mineral requirements in human nutrition. 2nd ed. Geneva: World Health Organization; 2004.
15.
go back to reference Hallberg L, Asp N. Iron nutrition in health and disease. London: John Libbey & Co; 1996. Hallberg L, Asp N. Iron nutrition in health and disease. London: John Libbey & Co; 1996.
19.
go back to reference Institute of Medicine. Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids. Washington, D.C.: National Academies Press; 2005. Institute of Medicine. Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids. Washington, D.C.: National Academies Press; 2005.
20.
go back to reference WHO/FAO. Human energy specifications. Geneva: World Health Organization; 2001. WHO/FAO. Human energy specifications. Geneva: World Health Organization; 2001.
21.
go back to reference WHO/FAO. Protein and amino acid specifications in human nutrition. Geneva: World Health Organization; 2007. WHO/FAO. Protein and amino acid specifications in human nutrition. Geneva: World Health Organization; 2007.
22.
go back to reference WHO/FAO. Fats and fatty acids in human nutrition. Geneva: World Health Organization; 2008. WHO/FAO. Fats and fatty acids in human nutrition. Geneva: World Health Organization; 2008.
23.
go back to reference FAO/WHO/UNU. Human energy requirements. Report of a joint FAO/WHO/UNU expert consultation, Rome, 17–24 October 2001. Rome: Food and Agriculture Organization; 2002. FAO/WHO/UNU. Human energy requirements. Report of a joint FAO/WHO/UNU expert consultation, Rome, 17–24 October 2001. Rome: Food and Agriculture Organization; 2002.
24.
go back to reference Institute of Medicine. Dietary Reference Intakes for Vitamin A, Vitamin K, Arsenic, Boron, Chromium, Copper, Iodine, Iron, Manganese, Molybdenum, Nickel, Silicon, Vanadium, and Zinc. Washington, D.C.: National Academy Press; 2001. Institute of Medicine. Dietary Reference Intakes for Vitamin A, Vitamin K, Arsenic, Boron, Chromium, Copper, Iodine, Iron, Manganese, Molybdenum, Nickel, Silicon, Vanadium, and Zinc. Washington, D.C.: National Academy Press; 2001.
28.
go back to reference Deptford A, Hall A. Cost of the Diet. A Practitioner’s Guide. Version 2. London: Save the Children; 2014. Deptford A, Hall A. Cost of the Diet. A Practitioner’s Guide. Version 2. London: Save the Children; 2014.
29.
go back to reference Termote C, Raneri J, Deptford A, Cogill B. Assessing the potential of wild foods to reduce the cost of a nutritionally adequate diet: an example from eastern Baringo District, Kenya. Food Nutr Bull. 2014;35(4):458–79.CrossRefPubMed Termote C, Raneri J, Deptford A, Cogill B. Assessing the potential of wild foods to reduce the cost of a nutritionally adequate diet: an example from eastern Baringo District, Kenya. Food Nutr Bull. 2014;35(4):458–79.CrossRefPubMed
31.
32.
go back to reference VandeHaar MJ, Black JR. Ration formulation using linear programming. Vet Clin North Am Food Anim Pract. 1991;7(2):541–56.CrossRefPubMed VandeHaar MJ, Black JR. Ration formulation using linear programming. Vet Clin North Am Food Anim Pract. 1991;7(2):541–56.CrossRefPubMed
34.
go back to reference De Carvalho IS, Granfeldt Y, Dejmek P, Hakansson A. From diets to foods: using linear programming to formulate a nutritious, minimum-cost porridge mix for children aged 1 to 2 years. Food Nutr Bull. 2015;36(1):75–85.CrossRefPubMed De Carvalho IS, Granfeldt Y, Dejmek P, Hakansson A. From diets to foods: using linear programming to formulate a nutritious, minimum-cost porridge mix for children aged 1 to 2 years. Food Nutr Bull. 2015;36(1):75–85.CrossRefPubMed
35.
go back to reference Ryan KN, Adams KP, Vosti SA, Ordiz MI, Cimo ED, Manary MJ. A comprehensive linear programming tool to optimize formulations of ready-to-use therapeutic foods: an application to Ethiopia. Am J Clin Nutr. 2014;100(6):1551–8. doi:10.3945/ajcn.114.090670.CrossRefPubMed Ryan KN, Adams KP, Vosti SA, Ordiz MI, Cimo ED, Manary MJ. A comprehensive linear programming tool to optimize formulations of ready-to-use therapeutic foods: an application to Ethiopia. Am J Clin Nutr. 2014;100(6):1551–8. doi:10.​3945/​ajcn.​114.​090670.CrossRefPubMed
37.
go back to reference Hlaing LM, Fahmida U, Htet MK, Utomo B, Firmansyah A, Ferguson EL. Local food-based complementary feeding recommendations developed by the linear programming approach to improve the intake of problem nutrients among 12-23-month-old Myanmar children. Br J Nutr. 2015:1–11. doi:10.1017/s000711451500481x Hlaing LM, Fahmida U, Htet MK, Utomo B, Firmansyah A, Ferguson EL. Local food-based complementary feeding recommendations developed by the linear programming approach to improve the intake of problem nutrients among 12-23-month-old Myanmar children. Br J Nutr. 2015:1–11. doi:10.1017/s000711451500481x
38.
go back to reference Skau JK, Bunthang T, Chamnan C, Wieringa FT, Dijkhuizen MA, Roos N, et al. The use of linear programming to determine whether a formulated complementary food product can ensure adequate nutrients for 6- to 11-month-old Cambodian infants. Am J Clin Nutr. 2014;99(1):130–8. doi:10.3945/ajcn.113.073700.CrossRefPubMed Skau JK, Bunthang T, Chamnan C, Wieringa FT, Dijkhuizen MA, Roos N, et al. The use of linear programming to determine whether a formulated complementary food product can ensure adequate nutrients for 6- to 11-month-old Cambodian infants. Am J Clin Nutr. 2014;99(1):130–8. doi:10.​3945/​ajcn.​113.​073700.CrossRefPubMed
Metadata
Title
Cost of the Diet: a method and software to calculate the lowest cost of meeting recommended intakes of energy and nutrients from local foods
Authors
Amy Deptford
Tommy Allieri
Rachel Childs
Claudia Damu
Elaine Ferguson
Jennie Hilton
Paul Parham
Abigail Perry
Alex Rees
James Seddon
Andrew Hall
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Nutrition / Issue 1/2017
Electronic ISSN: 2055-0928
DOI
https://doi.org/10.1186/s40795-017-0136-4

Other articles of this Issue 1/2017

BMC Nutrition 1/2017 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine