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Nutrition poses a critical concern in developing nations. Studying economic factors like food prices aids in understanding how food prices impact children’s well-being, informing policy decisions. This study selected relevant datasets and involved regression and time series analysis to examine the connection between food prices and children's malnutrition in low-income food-deficit countries, considering their higher malnutrition prevalence and diverse influencing factors. The results highlight significant yet complex correlations between the Consumer Price Index (CPI) of food and stunted children, as well as the CPI of food and Minimum Dietary Energy Requirement (MDER). The time series analysis of CPI indicates fluctuating trends with periodic seasonal patterns, suggesting potential instability in food prices and children’s malnutrition. However, economic policies, socio-economic factors, agricultural practices, and cognitive behaviors affect nutritional outcomes synthetically, thus calling for deliberate interventions to address malnutrition among children.
Danchen Xu (Fri,) studied this question.