Simulated Models Suggest That Price per Calorie Is the Dominant Price Metric That Low-Income Individuals Use for Food Decision Making
Authored by Takeru Igusa, Rahmatollah Beheshti, Jessica Jones-Smith
Date Published: 2016
DOI: 10.3945/jn.116.235952
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Abstract
Background: The price of food has long been considered one of the major
factors that affects food choices. However, the price metric (e.g., the
price of food per calorie or the price of food per gram) that
individuals predominantly use when making food choices is unclear.
Understanding which price metric is used is especially important for
studying individuals with severe budget constraints because food price
then becomes even more important in food choice.
Objective: We assessed which price metric is used by low-income
individuals in deciding what to eat.
Methods: With the use of data from NHAN ES and the USDA Food and
Nutrient Database for Dietary Studies, we created an agent-based model
that simulated an environment representing the US population, wherein
individuals were modeled as agents with a specific weight, age, and
income. In our model, agents made dietary food choices while meeting
their budget limits with the use of 1 of 3 different metrics for
decision making: energy cost (price per calorie), unit price (price per
gram), and serving price (price per serving). The food consumption
patterns generated by our model were compared to 3 independent data
sets.
Results: The food choice behaviors observed in 2 of the data sets were
found to be closest to the simulated dietary patterns generated by the
price per calorie metric. The behaviors observed in the third data set
were equidistant from the patterns generated by price per calorie and
price per serving metrics, whereas results generated by the price per
gram metric were further away.
Conclusions: Our simulations suggest that dietary food choice based on
price per calorie best matches actual consumption patterns and may
therefore be the most salient price metric for low-income populations.
Tags
Obesity
health
United-states
Children
Consumption
Cost
Energy density
Nutrient density
Diet quality
Poverty