Measuring cost and affordability of current vs. healthy diets in Argentina: an application of linear programming and the INFORMAS protocol

Abstract Background Food cost and affordability is one of the main barriers to improve nutritional quality diets population. However, in Argentina, where over 60% adults 40% children adolescents are overweight or obese, little known about difference healthier compared ordinary, less healthy ones. Methods We implemented “optimal approach” proposed by International Network for Obesity/non-communicable diseases Research, Monitoring Action Support (INFORMAS). modelled current diet two types diets, equal energy with 6.3% lower linear programming. Cost estimations were performed collecting food product prices running a Monte Carlo simulation (10,000 iterations) obtain range costs each model diet. Affordability was measured as percentage contribution vs. average household income average, poor extremely households deciles. Results On must spend 32% more money on ensure intake from than When target reduced 6.3%, 22%. There no reasonably likely situations which any these could same unhealthier one. Over 50% would be unable afford while not Conclusions Differential unhealthy germane design effective public policies reduce obesity NCDs Argentina. It necessary implement urgent measures transform obesogenic environment, making products affordable, available desirable, discouraging consumption nutrient-poor, energy-rich foods.