Cargando…

Urban and Rural Purchase Patterns of SNAP Participants in North Carolina

OBJECTIVES: Urban and rural environments have different economic and social factors that influence un/healthy food access. SNAP participants are at greater risk for diet related chronic disease compared to non-SNAP participants and it is unclear whether rurality amplifies or alleviates these risks....

Descripción completa

Detalles Bibliográficos
Autores principales: Lo, Amy, Ng, Shu Wen, Duffy, Emily Welker
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193644/
http://dx.doi.org/10.1093/cdn/nzac059.017
_version_ 1784726514753863680
author Lo, Amy
Ng, Shu Wen
Duffy, Emily Welker
author_facet Lo, Amy
Ng, Shu Wen
Duffy, Emily Welker
author_sort Lo, Amy
collection PubMed
description OBJECTIVES: Urban and rural environments have different economic and social factors that influence un/healthy food access. SNAP participants are at greater risk for diet related chronic disease compared to non-SNAP participants and it is unclear whether rurality amplifies or alleviates these risks. This study examines grocery sales to SNAP participants from rural vs urban stores to provide insights into geographical disparities in the prevalence of chronic disease. METHODS: We used de-identified store-week level transaction data from a large grocery chain with >490 stores across North Carolina from Oct 2019-Dec 2020 (n = 32,182 store weeks), classifying stores as urban or rural based on USDA definitions (main exposure). We identified SNAP sales from payment mode and defined SNAP participation as having used a SNAP EBT card within the last 3 months. Products are classified into nutritionally meaningful categories: fruits, vegetables, nuts, and legumes (FVNL), sugar sweetened beverages (SSB), junk food (JF) and processed meats (PM), linked to nutrition data. We used multivariate random effects models with robust standard errors to examine the association of rural/urban stores with the share of calories of food categories purchased (main outcomes). We controlled for annual county level factors (socio-demographic composition, food environment) and weekly store level factors (composition of sales among SNAP vs non-SNAP). RESULTS: 127 stores were classified as rural and 369 stores were urban. Adjusting for covariates, an average of 13.12% of total calories sold from rural stores were from FVNL, compared to an average of 13.27% of total calories sold from urban stores. Rural stores’ sales to SNAP participants had small but significantly higher share of total calories sold from SSBs (10.34% vs 9.36%), JF (30.68% vs 30.36%) and PM (5.7% vs 5.64%) compared to urban stores’ sales to SNAP participants. CONCLUSIONS: Rural store sales to SNAP participants appear to be marginally different from urban store sales to SNAP participants which support concerns around the need to improve healthy food access and limit unhealthy food access in rural settings. FUNDING SOURCES: National Institutes of Health (U48DP006374, NIH P2C HD050924).
format Online
Article
Text
id pubmed-9193644
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-91936442022-06-14 Urban and Rural Purchase Patterns of SNAP Participants in North Carolina Lo, Amy Ng, Shu Wen Duffy, Emily Welker Curr Dev Nutr Food Choice, Markets and Policy OBJECTIVES: Urban and rural environments have different economic and social factors that influence un/healthy food access. SNAP participants are at greater risk for diet related chronic disease compared to non-SNAP participants and it is unclear whether rurality amplifies or alleviates these risks. This study examines grocery sales to SNAP participants from rural vs urban stores to provide insights into geographical disparities in the prevalence of chronic disease. METHODS: We used de-identified store-week level transaction data from a large grocery chain with >490 stores across North Carolina from Oct 2019-Dec 2020 (n = 32,182 store weeks), classifying stores as urban or rural based on USDA definitions (main exposure). We identified SNAP sales from payment mode and defined SNAP participation as having used a SNAP EBT card within the last 3 months. Products are classified into nutritionally meaningful categories: fruits, vegetables, nuts, and legumes (FVNL), sugar sweetened beverages (SSB), junk food (JF) and processed meats (PM), linked to nutrition data. We used multivariate random effects models with robust standard errors to examine the association of rural/urban stores with the share of calories of food categories purchased (main outcomes). We controlled for annual county level factors (socio-demographic composition, food environment) and weekly store level factors (composition of sales among SNAP vs non-SNAP). RESULTS: 127 stores were classified as rural and 369 stores were urban. Adjusting for covariates, an average of 13.12% of total calories sold from rural stores were from FVNL, compared to an average of 13.27% of total calories sold from urban stores. Rural stores’ sales to SNAP participants had small but significantly higher share of total calories sold from SSBs (10.34% vs 9.36%), JF (30.68% vs 30.36%) and PM (5.7% vs 5.64%) compared to urban stores’ sales to SNAP participants. CONCLUSIONS: Rural store sales to SNAP participants appear to be marginally different from urban store sales to SNAP participants which support concerns around the need to improve healthy food access and limit unhealthy food access in rural settings. FUNDING SOURCES: National Institutes of Health (U48DP006374, NIH P2C HD050924). Oxford University Press 2022-06-14 /pmc/articles/PMC9193644/ http://dx.doi.org/10.1093/cdn/nzac059.017 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Food Choice, Markets and Policy
Lo, Amy
Ng, Shu Wen
Duffy, Emily Welker
Urban and Rural Purchase Patterns of SNAP Participants in North Carolina
title Urban and Rural Purchase Patterns of SNAP Participants in North Carolina
title_full Urban and Rural Purchase Patterns of SNAP Participants in North Carolina
title_fullStr Urban and Rural Purchase Patterns of SNAP Participants in North Carolina
title_full_unstemmed Urban and Rural Purchase Patterns of SNAP Participants in North Carolina
title_short Urban and Rural Purchase Patterns of SNAP Participants in North Carolina
title_sort urban and rural purchase patterns of snap participants in north carolina
topic Food Choice, Markets and Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193644/
http://dx.doi.org/10.1093/cdn/nzac059.017
work_keys_str_mv AT loamy urbanandruralpurchasepatternsofsnapparticipantsinnorthcarolina
AT ngshuwen urbanandruralpurchasepatternsofsnapparticipantsinnorthcarolina
AT duffyemilywelker urbanandruralpurchasepatternsofsnapparticipantsinnorthcarolina