Abstract The specific aim was to characterize retail purchases of red and processed meat and other major protein-rich foods in the U.S. and by state. Supermarket scanner data from grocery… Click to show full abstract
Abstract The specific aim was to characterize retail purchases of red and processed meat and other major protein-rich foods in the U.S. and by state. Supermarket scanner data from grocery stores, supermarkets, and big box stores collected from 2017-2019 (NielsenIQ, New York, NY) was used to characterize retail purchases of red meat, processed meat, and other protein-rich foods in thirty-one states representative of US retail food sales. Red meat, processed meat, poultry, seafood, eggs, other meats, and non-meat foods (beans, nuts, seeds, meat alternatives) by weight accounted for 25.9%, 20.4%, 25.8%, 5.9%, 12.6%, 1.3%, and 10.1%, respectively of total sales in 2017-2019. Mean per capita purchases of red meat by weight was 30.1 g/d, ranging from 45.4 g/d in Mississippi to 21.9 g/d in New York. Mean per capita purchases of processed meat by weight was 23.8 g/d, ranging from 36.6 g/d in Mississippi to 15.2 g/d in California. We observed statistically significant correlations between red and processed meat purchases with cardiovascular mortality and colorectal cancer by state. Per capita retail purchases of red and processed meat appear to reflect a dietary pattern that is not consistent with current national and international dietary recommendations.
               
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