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Beyond the supermarket: analyzing household shopping trip patterns that include food at home and away from home retailers
BACKGROUND: Modifying a household’s food environment by targeting a single retailer type, like supermarkets, has a limited impact on dietary outcomes. This may be because the food environment has a limited impact on shopping behaviors, or because households are not as reliant on supermarkets as we a...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678129/ https://www.ncbi.nlm.nih.gov/pubmed/33213423 http://dx.doi.org/10.1186/s12889-020-09882-0 |
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author | Yenerall, Jackie You, Wen Hill, Jennie |
author_facet | Yenerall, Jackie You, Wen Hill, Jennie |
author_sort | Yenerall, Jackie |
collection | PubMed |
description | BACKGROUND: Modifying a household’s food environment by targeting a single retailer type, like supermarkets, has a limited impact on dietary outcomes. This may be because the food environment has a limited impact on shopping behaviors, or because households are not as reliant on supermarkets as we assume. However, our understanding of how households shop for food, especially when considering the use of both food at home (FAH) retailers, such as supermarkets, and away from home retailers (FAFH), such as restaurants, is limited. Thus, understanding how households shop for food is a necessary first step when developing programs to modify food purchasing behavior. METHODS: K-means cluster analysis was used to identify weekly food shopping trip patterns based on the percentage of trips to FAH and FAFH retailers in the 2013 Food Acquisition and Purchase Survey (FoodAPS) dataset (n = 4665 households). Multinomial logistic regression was used to examine the relationship between shopping trip patterns, household and food environment characteristics. RESULTS: Three patterns emerged: primarily supermarket, primarily supercenter, or mix (i.e. no dominant retailer type, but high FAFH use). Households with incomes below 185% of the federal poverty line were evenly divided between patterns that rely primarily on FAH retailers, and the mix pattern. While nearly 70% of households with incomes above 185% of the federal poverty line are in the mix cluster. Supermarket and superstore availability significantly influenced the likelihood of belonging to those clusters respectively, while having a child, higher income, and attitudes towards healthy meal preparation time or taste significantly influenced the likelihood of belonging to the mix cluster. CONCLUSION: Although lower-income households are more likely to rely primarily on FAH retailers, household’s, regardless of income, that primarily utilize FAH retailers show a strong preference for either superstores or supermarkets suggesting a need for interventions to reach both retailer types. However, altering the food environment alone may not be sufficient to discourage use of FAFH retailers as households relying on FAFH retailers are significantly influenced by meal preparation time and healthy food taste. |
format | Online Article Text |
id | pubmed-7678129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76781292020-11-20 Beyond the supermarket: analyzing household shopping trip patterns that include food at home and away from home retailers Yenerall, Jackie You, Wen Hill, Jennie BMC Public Health Research Article BACKGROUND: Modifying a household’s food environment by targeting a single retailer type, like supermarkets, has a limited impact on dietary outcomes. This may be because the food environment has a limited impact on shopping behaviors, or because households are not as reliant on supermarkets as we assume. However, our understanding of how households shop for food, especially when considering the use of both food at home (FAH) retailers, such as supermarkets, and away from home retailers (FAFH), such as restaurants, is limited. Thus, understanding how households shop for food is a necessary first step when developing programs to modify food purchasing behavior. METHODS: K-means cluster analysis was used to identify weekly food shopping trip patterns based on the percentage of trips to FAH and FAFH retailers in the 2013 Food Acquisition and Purchase Survey (FoodAPS) dataset (n = 4665 households). Multinomial logistic regression was used to examine the relationship between shopping trip patterns, household and food environment characteristics. RESULTS: Three patterns emerged: primarily supermarket, primarily supercenter, or mix (i.e. no dominant retailer type, but high FAFH use). Households with incomes below 185% of the federal poverty line were evenly divided between patterns that rely primarily on FAH retailers, and the mix pattern. While nearly 70% of households with incomes above 185% of the federal poverty line are in the mix cluster. Supermarket and superstore availability significantly influenced the likelihood of belonging to those clusters respectively, while having a child, higher income, and attitudes towards healthy meal preparation time or taste significantly influenced the likelihood of belonging to the mix cluster. CONCLUSION: Although lower-income households are more likely to rely primarily on FAH retailers, household’s, regardless of income, that primarily utilize FAH retailers show a strong preference for either superstores or supermarkets suggesting a need for interventions to reach both retailer types. However, altering the food environment alone may not be sufficient to discourage use of FAFH retailers as households relying on FAFH retailers are significantly influenced by meal preparation time and healthy food taste. BioMed Central 2020-11-19 /pmc/articles/PMC7678129/ /pubmed/33213423 http://dx.doi.org/10.1186/s12889-020-09882-0 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Yenerall, Jackie You, Wen Hill, Jennie Beyond the supermarket: analyzing household shopping trip patterns that include food at home and away from home retailers |
title | Beyond the supermarket: analyzing household shopping trip patterns that include food at home and away from home retailers |
title_full | Beyond the supermarket: analyzing household shopping trip patterns that include food at home and away from home retailers |
title_fullStr | Beyond the supermarket: analyzing household shopping trip patterns that include food at home and away from home retailers |
title_full_unstemmed | Beyond the supermarket: analyzing household shopping trip patterns that include food at home and away from home retailers |
title_short | Beyond the supermarket: analyzing household shopping trip patterns that include food at home and away from home retailers |
title_sort | beyond the supermarket: analyzing household shopping trip patterns that include food at home and away from home retailers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678129/ https://www.ncbi.nlm.nih.gov/pubmed/33213423 http://dx.doi.org/10.1186/s12889-020-09882-0 |
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