Cargando…
Associations between the food environment and food and drink purchasing using large-scale commercial purchasing data: a cross-sectional study
BACKGROUND: Evidence for an association between the local food environment, diet and diet-related disease is mixed, particularly in the UK. One reason may be the use of more distal outcomes such as weight status and cardiovascular disease, rather than more proximal outcomes such as food purchasing....
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831883/ https://www.ncbi.nlm.nih.gov/pubmed/36627591 http://dx.doi.org/10.1186/s12889-022-14537-3 |
_version_ | 1784867943527481344 |
---|---|
author | Kalbus, Alexandra Cornelsen, Laura Ballatore, Andrea Cummins, Steven |
author_facet | Kalbus, Alexandra Cornelsen, Laura Ballatore, Andrea Cummins, Steven |
author_sort | Kalbus, Alexandra |
collection | PubMed |
description | BACKGROUND: Evidence for an association between the local food environment, diet and diet-related disease is mixed, particularly in the UK. One reason may be the use of more distal outcomes such as weight status and cardiovascular disease, rather than more proximal outcomes such as food purchasing. This study explores associations between food environment exposures and food and drink purchasing for at-home and out-of-home (OOH) consumption. METHODS: We used item-level food and drink purchase data for London and the North of England, UK, drawn from the 2019 Kantar Fast Moving Consumer Goods panel to assess associations between food environment exposures and household-level take-home grocery (n=2,118) and individual-level out-of-home (n=447) food and drink purchasing. Density, proximity and relative composition measures were created for both supermarkets and OOH outlets (restaurants and takeaways) using a 1 km network buffer around the population-weighted centroid of households’ home postcode districts. Associations between food environment exposure measures and frequency of take-home food and drink purchasing, total take-home calories, calories from fruits and vegetables, high fat, salt and sugar products, and ultra-processed foods (UPF), volume of take-home alcoholic beverages, and frequency of OOH purchasing were modelled using negative binomial regression adjusted for area deprivation, population density, and individual and household socio-economic characteristics. RESULTS: There was some evidence for an inverse association between distance to OOH food outlets and calories purchased from ultra-processed foods (UPF), with a 500 m increase in distance to the nearest OOH outlet associated with a 1.1% reduction in calories from UPF (IR=0.989, 95%CI 0.982–0.997, p=0.040). There was some evidence for region-specific effects relating to purchased volumes of alcohol. However, there was no evidence for an overall association between food environment exposures and take-home and OOH food and drink purchasing. CONCLUSIONS: Despite some evidence for exposure to OOH outlets and UPF purchases, this study finds limited evidence for the impact of the food environment on household food and drink purchasing. Nonetheless, region-specific effects regarding alcohol purchasing indicate the importance of geographical context for research and policy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14537-3. |
format | Online Article Text |
id | pubmed-9831883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98318832023-01-11 Associations between the food environment and food and drink purchasing using large-scale commercial purchasing data: a cross-sectional study Kalbus, Alexandra Cornelsen, Laura Ballatore, Andrea Cummins, Steven BMC Public Health Research BACKGROUND: Evidence for an association between the local food environment, diet and diet-related disease is mixed, particularly in the UK. One reason may be the use of more distal outcomes such as weight status and cardiovascular disease, rather than more proximal outcomes such as food purchasing. This study explores associations between food environment exposures and food and drink purchasing for at-home and out-of-home (OOH) consumption. METHODS: We used item-level food and drink purchase data for London and the North of England, UK, drawn from the 2019 Kantar Fast Moving Consumer Goods panel to assess associations between food environment exposures and household-level take-home grocery (n=2,118) and individual-level out-of-home (n=447) food and drink purchasing. Density, proximity and relative composition measures were created for both supermarkets and OOH outlets (restaurants and takeaways) using a 1 km network buffer around the population-weighted centroid of households’ home postcode districts. Associations between food environment exposure measures and frequency of take-home food and drink purchasing, total take-home calories, calories from fruits and vegetables, high fat, salt and sugar products, and ultra-processed foods (UPF), volume of take-home alcoholic beverages, and frequency of OOH purchasing were modelled using negative binomial regression adjusted for area deprivation, population density, and individual and household socio-economic characteristics. RESULTS: There was some evidence for an inverse association between distance to OOH food outlets and calories purchased from ultra-processed foods (UPF), with a 500 m increase in distance to the nearest OOH outlet associated with a 1.1% reduction in calories from UPF (IR=0.989, 95%CI 0.982–0.997, p=0.040). There was some evidence for region-specific effects relating to purchased volumes of alcohol. However, there was no evidence for an overall association between food environment exposures and take-home and OOH food and drink purchasing. CONCLUSIONS: Despite some evidence for exposure to OOH outlets and UPF purchases, this study finds limited evidence for the impact of the food environment on household food and drink purchasing. Nonetheless, region-specific effects regarding alcohol purchasing indicate the importance of geographical context for research and policy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14537-3. BioMed Central 2023-01-10 /pmc/articles/PMC9831883/ /pubmed/36627591 http://dx.doi.org/10.1186/s12889-022-14537-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Kalbus, Alexandra Cornelsen, Laura Ballatore, Andrea Cummins, Steven Associations between the food environment and food and drink purchasing using large-scale commercial purchasing data: a cross-sectional study |
title | Associations between the food environment and food and drink purchasing using large-scale commercial purchasing data: a cross-sectional study |
title_full | Associations between the food environment and food and drink purchasing using large-scale commercial purchasing data: a cross-sectional study |
title_fullStr | Associations between the food environment and food and drink purchasing using large-scale commercial purchasing data: a cross-sectional study |
title_full_unstemmed | Associations between the food environment and food and drink purchasing using large-scale commercial purchasing data: a cross-sectional study |
title_short | Associations between the food environment and food and drink purchasing using large-scale commercial purchasing data: a cross-sectional study |
title_sort | associations between the food environment and food and drink purchasing using large-scale commercial purchasing data: a cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831883/ https://www.ncbi.nlm.nih.gov/pubmed/36627591 http://dx.doi.org/10.1186/s12889-022-14537-3 |
work_keys_str_mv | AT kalbusalexandra associationsbetweenthefoodenvironmentandfoodanddrinkpurchasingusinglargescalecommercialpurchasingdataacrosssectionalstudy AT cornelsenlaura associationsbetweenthefoodenvironmentandfoodanddrinkpurchasingusinglargescalecommercialpurchasingdataacrosssectionalstudy AT ballatoreandrea associationsbetweenthefoodenvironmentandfoodanddrinkpurchasingusinglargescalecommercialpurchasingdataacrosssectionalstudy AT cumminssteven associationsbetweenthefoodenvironmentandfoodanddrinkpurchasingusinglargescalecommercialpurchasingdataacrosssectionalstudy |