不良研究所

Using checkout grocery data from Montreal neighborhoods as tool to combat unhealthy food choices听

Poor food choices, such as overconsumption of carbonated soft drinks, are an important factor driving the global obesity epidemic and have been linked directly to diabetes and heart disease. While public health agencies are working to help people to make healthier choices, monitoring the effectiveness of these efforts has been costly and difficult. But now, using the same digital data employed by marketers to promote food products, 不良研究所鈥檚 David Buckeridge has developed a way for health agencies to track Montreal consumers鈥� food choices, neighborhood by neighborhood. This novel approach could pave the way to better monitoring of consumers鈥� behavior and more targeted efforts to encourage healthier diets.

鈥淲e鈥檝e taken data which most grocery and convenience stores generate with digital scanners to identify items at checkout. Companies use these data and produce information for marketing and other purposes鈥�, says Buckeridge, a public health physician and associate professor in the Department of Epidemiology, Biostatistics and Occupational Health in the Faculty of Medicine. 鈥淲e developed a way to use these data towards a positive public health initiative: routine monitoring of eating habits over time in particular pockets of a city to reveal which populations consume foods that can contribute to negative health outcomes.鈥�

Buckeridge, who is also a member of the 不良研究所 Centre for the Convergence of Health and Economics (MCCHE), and his team measured monthly neighborhood-level purchases of soft drinks using digital data captured by store scanners in Montreal, Canada, between 2008 and 2010, then compared those results with census data describing detailed neighborhood socioeconomic characteristics. With this method, Buckeridge can isolate and measure any food choice, such as processed foods, salt-laden food and food containing saturated fat.

鈥淲e are working with public health agencies to determine how the methods we have developed can be used to monitor the food consumed within a neighborhood and develop strategies to encourage healthier diets. The evidence is clear that promoting healthy eating habits can prevent or reduce health problems, improve quality of life, and reduce health care costs,鈥� says Buckeridge, who is also a member of the Research Institute of the 不良研究所 Health Centre (RI-MUHC), 鈥淲e are aware that biological, geographical, environmental and economic factors as well as social influence impact what people eat. Monitoring and analysis of these factors is critical to inform efforts aimed at promoting healthy eating and preventing chronic diseases such as diabetes, heart disease, and cancer.鈥�

鈥淔or each $10,000 decrease in median personal income, we observed a fivefold increase in estimated monthly sales of soft drinks,鈥� Buckeridge says. 鈥淭his indicates that in neighborhoods where families have lower incomes people tend to buy many more soft drinks as compared to neighborhoods where families have higher incomes.鈥� Though the link between food consumption and socioeconomics may seem obvious, Buckeridge鈥檚 metrics provide accurate measurements over time, essential building blocks towards improving global health.

The same approach could be used to monitor meals purchased from restaurants and to measure total neighborhood consumption of dietary components, such as salt and sugar 鈥� topics that Buckeridge鈥檚 team is now addressing in ongoing research. 鈥淯sing digital data in this application opens the door to monitor specific populations over time you could not previously,鈥� he says. 鈥淚t creates boundless research applications directly related to improving population health.鈥�

The results of this research are published in the Annals of the New York Academy of Sciences.

Contact:

Cynthia Lee
cynthia.lee [at] mcgill.ca
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