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BMI and the Food Retail Environment in Melbourne, Australia: Associations and Temporal Trends

Research into the link between food environments and health is scarce. Research in this field has progressed, and new comprehensive methods (i.e., incorporating all food retail outlets) for classifying food retail environments have been developed and are yet to be examined alongside measures of obes...

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Detalles Bibliográficos
Autores principales: Needham, Cindy, Strugnell, Claudia, Allender, Steven, Alston, Laura, Orellana, Liliana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649206/
https://www.ncbi.nlm.nih.gov/pubmed/37960156
http://dx.doi.org/10.3390/nu15214503
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author Needham, Cindy
Strugnell, Claudia
Allender, Steven
Alston, Laura
Orellana, Liliana
author_facet Needham, Cindy
Strugnell, Claudia
Allender, Steven
Alston, Laura
Orellana, Liliana
author_sort Needham, Cindy
collection PubMed
description Research into the link between food environments and health is scarce. Research in this field has progressed, and new comprehensive methods (i.e., incorporating all food retail outlets) for classifying food retail environments have been developed and are yet to be examined alongside measures of obesity. In this study, we examine the association and temporal trends between the food environment and BMI of a repeated cross-sectional sample of the adult population between 2008 and 2016. Methods: Food retail data for 264 postal areas of Greater Melbourne was collected for the years 2008, 2012, 2014, and 2016, and a container-based approach was used to estimate accessibility to supermarkets, healthy and unhealthy outlets. Data on BMI for postal areas was obtained from the Victorian Population Health Survey (n = 47,245). We estimated the association between the food environment and BMI using linear mixed models. Results indicated that BMI increased as accessibility to healthy outlets decreased by up to −0.69 kg/m(2) (95%CI: −0.95, −0.44). BMI was lower with high and moderate access to supermarkets compared to low access by −0.33 kg/m(2) (−0.63, −0.04) and −0.32 kg/m(2) (−0.56, −0.07), and with high access to unhealthy outlets compared to low access (−0.38 kg/m(2): −0.64, −0.12) and moderate access (−0.54 kg/m(2): −0.78, −0.30). Conclusion: Our results show that increasing access and availability to a diverse range of food outlets, particularly healthy food outlets, should be an important consideration for efforts to support good health. This research provides evidence that Australia needs to follow suit with other countries that have adopted policies giving local governments the power to encourage healthier food environments.
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spelling pubmed-106492062023-10-24 BMI and the Food Retail Environment in Melbourne, Australia: Associations and Temporal Trends Needham, Cindy Strugnell, Claudia Allender, Steven Alston, Laura Orellana, Liliana Nutrients Article Research into the link between food environments and health is scarce. Research in this field has progressed, and new comprehensive methods (i.e., incorporating all food retail outlets) for classifying food retail environments have been developed and are yet to be examined alongside measures of obesity. In this study, we examine the association and temporal trends between the food environment and BMI of a repeated cross-sectional sample of the adult population between 2008 and 2016. Methods: Food retail data for 264 postal areas of Greater Melbourne was collected for the years 2008, 2012, 2014, and 2016, and a container-based approach was used to estimate accessibility to supermarkets, healthy and unhealthy outlets. Data on BMI for postal areas was obtained from the Victorian Population Health Survey (n = 47,245). We estimated the association between the food environment and BMI using linear mixed models. Results indicated that BMI increased as accessibility to healthy outlets decreased by up to −0.69 kg/m(2) (95%CI: −0.95, −0.44). BMI was lower with high and moderate access to supermarkets compared to low access by −0.33 kg/m(2) (−0.63, −0.04) and −0.32 kg/m(2) (−0.56, −0.07), and with high access to unhealthy outlets compared to low access (−0.38 kg/m(2): −0.64, −0.12) and moderate access (−0.54 kg/m(2): −0.78, −0.30). Conclusion: Our results show that increasing access and availability to a diverse range of food outlets, particularly healthy food outlets, should be an important consideration for efforts to support good health. This research provides evidence that Australia needs to follow suit with other countries that have adopted policies giving local governments the power to encourage healthier food environments. MDPI 2023-10-24 /pmc/articles/PMC10649206/ /pubmed/37960156 http://dx.doi.org/10.3390/nu15214503 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Needham, Cindy
Strugnell, Claudia
Allender, Steven
Alston, Laura
Orellana, Liliana
BMI and the Food Retail Environment in Melbourne, Australia: Associations and Temporal Trends
title BMI and the Food Retail Environment in Melbourne, Australia: Associations and Temporal Trends
title_full BMI and the Food Retail Environment in Melbourne, Australia: Associations and Temporal Trends
title_fullStr BMI and the Food Retail Environment in Melbourne, Australia: Associations and Temporal Trends
title_full_unstemmed BMI and the Food Retail Environment in Melbourne, Australia: Associations and Temporal Trends
title_short BMI and the Food Retail Environment in Melbourne, Australia: Associations and Temporal Trends
title_sort bmi and the food retail environment in melbourne, australia: associations and temporal trends
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649206/
https://www.ncbi.nlm.nih.gov/pubmed/37960156
http://dx.doi.org/10.3390/nu15214503
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