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Distance and destination of retail meat alter multidrug resistant contamination in the United States food system

Antibiotic-resistant infections are a global concern, especially those caused by multidrug-resistant (MDR) bacteria, defined as those resistant to more than three drug classes. The animal agriculture industry contributes to the antimicrobial resistant foodborne illness burden via contaminated retail...

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Autores principales: Innes, Gabriel K., Patton, Andrew N., Nachman, Keeve E., Casey, Joan A., Stapleton, G. Sean, Abraham, Alison G., Price, Lance B., Tartof, Sara Y., Davis, Meghan F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687246/
https://www.ncbi.nlm.nih.gov/pubmed/38030674
http://dx.doi.org/10.1038/s41598-023-48197-z
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author Innes, Gabriel K.
Patton, Andrew N.
Nachman, Keeve E.
Casey, Joan A.
Stapleton, G. Sean
Abraham, Alison G.
Price, Lance B.
Tartof, Sara Y.
Davis, Meghan F.
author_facet Innes, Gabriel K.
Patton, Andrew N.
Nachman, Keeve E.
Casey, Joan A.
Stapleton, G. Sean
Abraham, Alison G.
Price, Lance B.
Tartof, Sara Y.
Davis, Meghan F.
author_sort Innes, Gabriel K.
collection PubMed
description Antibiotic-resistant infections are a global concern, especially those caused by multidrug-resistant (MDR) bacteria, defined as those resistant to more than three drug classes. The animal agriculture industry contributes to the antimicrobial resistant foodborne illness burden via contaminated retail meat. In the United States, retail meat is shipped across the country. Therefore, understanding geospatial factors that influence MDR bacterial contamination is vital to protect consumers and inform interventions. Using data available from the United States Food and Drug Administration’s National Antimicrobial Resistance Monitoring System (NARMS), we describe retail meat shipping distances using processor and retailer locations and investigated this distance as a risk factor for MDR bacteria meat contamination using log-binomial regression. Meat samples collected during 2012–2014 totaled 11,243, of which 4791 (42.61%) were contaminated with bacteria and 835 (17.43%) of those bacteria were MDR. All examined geospatial factors were associated with MDR bacteria meat contamination. After adjustment for year and meat type, we found higher prevalence of MDR contamination among meat processed in the south (relative adjusted prevalence ratio [aPR] 1.35; 95% CI 1.06–1.73 when compared to the next-highest region), sold in Maryland (aPR 1.12; 95% CI 0.95–1.32 when compared to the next-highest state), and shipped from 194 to 469 miles (aPR 1.59; 95% CI 1.31–1.94 when compared to meats that traveled < 194 miles). However, sensitivity analyses revealed that New York sold the meat with the highest prevalence of MDR Salmonella contamination (4.84%). In this secondary analysis of NARMS data, both geographic location where products were sold and the shipping distance were associated with microbial contamination on retail meat.
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spelling pubmed-106872462023-11-30 Distance and destination of retail meat alter multidrug resistant contamination in the United States food system Innes, Gabriel K. Patton, Andrew N. Nachman, Keeve E. Casey, Joan A. Stapleton, G. Sean Abraham, Alison G. Price, Lance B. Tartof, Sara Y. Davis, Meghan F. Sci Rep Article Antibiotic-resistant infections are a global concern, especially those caused by multidrug-resistant (MDR) bacteria, defined as those resistant to more than three drug classes. The animal agriculture industry contributes to the antimicrobial resistant foodborne illness burden via contaminated retail meat. In the United States, retail meat is shipped across the country. Therefore, understanding geospatial factors that influence MDR bacterial contamination is vital to protect consumers and inform interventions. Using data available from the United States Food and Drug Administration’s National Antimicrobial Resistance Monitoring System (NARMS), we describe retail meat shipping distances using processor and retailer locations and investigated this distance as a risk factor for MDR bacteria meat contamination using log-binomial regression. Meat samples collected during 2012–2014 totaled 11,243, of which 4791 (42.61%) were contaminated with bacteria and 835 (17.43%) of those bacteria were MDR. All examined geospatial factors were associated with MDR bacteria meat contamination. After adjustment for year and meat type, we found higher prevalence of MDR contamination among meat processed in the south (relative adjusted prevalence ratio [aPR] 1.35; 95% CI 1.06–1.73 when compared to the next-highest region), sold in Maryland (aPR 1.12; 95% CI 0.95–1.32 when compared to the next-highest state), and shipped from 194 to 469 miles (aPR 1.59; 95% CI 1.31–1.94 when compared to meats that traveled < 194 miles). However, sensitivity analyses revealed that New York sold the meat with the highest prevalence of MDR Salmonella contamination (4.84%). In this secondary analysis of NARMS data, both geographic location where products were sold and the shipping distance were associated with microbial contamination on retail meat. Nature Publishing Group UK 2023-11-29 /pmc/articles/PMC10687246/ /pubmed/38030674 http://dx.doi.org/10.1038/s41598-023-48197-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Innes, Gabriel K.
Patton, Andrew N.
Nachman, Keeve E.
Casey, Joan A.
Stapleton, G. Sean
Abraham, Alison G.
Price, Lance B.
Tartof, Sara Y.
Davis, Meghan F.
Distance and destination of retail meat alter multidrug resistant contamination in the United States food system
title Distance and destination of retail meat alter multidrug resistant contamination in the United States food system
title_full Distance and destination of retail meat alter multidrug resistant contamination in the United States food system
title_fullStr Distance and destination of retail meat alter multidrug resistant contamination in the United States food system
title_full_unstemmed Distance and destination of retail meat alter multidrug resistant contamination in the United States food system
title_short Distance and destination of retail meat alter multidrug resistant contamination in the United States food system
title_sort distance and destination of retail meat alter multidrug resistant contamination in the united states food system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687246/
https://www.ncbi.nlm.nih.gov/pubmed/38030674
http://dx.doi.org/10.1038/s41598-023-48197-z
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