标题：Towards Automated Risk-Factor Surveillance: Using Digital Grocery Purchasing Data to Measure Socioeconomic Inequalities in the Impact of In-Store Price Discounts on Dietary Choice
摘要：We explored the utility of electronic grocery store transaction data to assess the impact of in-store discounting of soda, a previously unknown risk factor of obesity and overweight, which cause substantial societal and economic burden worldwide. We found the strong impact of price discounting on the purchase of soda, particularity among stores located in lower educational attainment. The finding suggest the importance of monitoring store-level price discount, health disparity in terms of susceptibility to in-store price promotion of energy-dense food products, and the usefulness of digital grocery purchase data for the community surveillance of dietary choice.
