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Articles

Retail Purchases of Red and Processed Meat by State in the United States

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Pages 247-255 | Received 02 May 2022, Accepted 27 Jul 2022, Published online: 09 Aug 2022
 

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.

Acknowledgements

Our own analyses and calculations are based in part on data reported by NielsenIQ through its NielsenIQ Service for meat, poultry, other meats, eggs, seafood, beans, nuts and seeds, and meat alternatives for the period from January 1, 2017 to December 31, 2019, for the U.S and 31 state markets and xAOC channel. Copyright © 2020, The NielsenIQ Company. The conclusions drawn from the NielsenIQ data are those of the authors and do not reflect the views of NielsenIQ. NielsenIQ is not responsible for and had no role in analyzing and preparing the results reported herein.

Author Contributions

Designed the research (RDS, RR, DAJ, EN, MWB), conducted research (RDS, DL, NR, ATL), provided essential materials (DL, KBC, RR, DAJ, RY), analyzed data (DL, NR, RY), wrote paper (RDS, DL, ATL, RR), had primary responsibility for final content (RDS). All authors have read and approved the final manuscript.

Disclosure Statement

The authors report there are no competing interests to declare.

Funding Details

This work was supported by the Santa Barbara Foundation

Data Availability Statement

The data used for these analyses are proprietary data that are commercially available from The NielsenIQ Company

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