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Spatial inequalities of retail food stores may determine availability of healthful food choices in a Brazilian metropolis
OBJECTIVE: To examine the association between economic residential segregation and food environment. DESIGN: Ecological: Food stores categorised according to the NOVA classification were geocoded, and absolute availability was calculated for each neighbourhood. Segregation was measured using local G...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9991693/ https://www.ncbi.nlm.nih.gov/pubmed/34169811 http://dx.doi.org/10.1017/S1368980021002706 |
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author | Lopes, Mariana Souza Caiaffa, Waleska Teixeira Andrade, Amanda Cristina de Souza do Carmo, Ariene Silva Barber, Sharrelle Mendes, Larissa Loures Friche, Amélia Augusta de Lima |
author_facet | Lopes, Mariana Souza Caiaffa, Waleska Teixeira Andrade, Amanda Cristina de Souza do Carmo, Ariene Silva Barber, Sharrelle Mendes, Larissa Loures Friche, Amélia Augusta de Lima |
author_sort | Lopes, Mariana Souza |
collection | PubMed |
description | OBJECTIVE: To examine the association between economic residential segregation and food environment. DESIGN: Ecological: Food stores categorised according to the NOVA classification were geocoded, and absolute availability was calculated for each neighbourhood. Segregation was measured using local G(i) (*) statistic, a measure of the sd between the economic composition of a neighbourhood (the proportion of heads of households in neighbourhoods earn monthly income of 0 to 3 minimum wages) and larger metropolitan area, weighted by the economic composition of surrounding neighbourhoods. Segregation was categorised as high (most segregated), medium (integrated) and low (less segregated or integrated). A proportional odds models were used to model the association between segregation and food environment. SETTING: Belo Horizonte, Brazil. PARTICIPANTS: Food stores. RESULTS: After adjustment for covariates, neighbourhoods characterised by high economic segregation had fewer food stores overall compared with neighbourhoods characterised by low segregation (OR = 0·56; 95 % CI (0·45, 0·69)). In addition, high segregated neighbourhoods were 49 % (OR = 0·51; 95 % CI (0·42, 0·61)) and 45 % (OR = 0·55; 95 % CI (0·45, 0·67)) less likely to have a high number of food stores that predominantly marketed ultra-processed foods and mixed food stores, respectively, as compared with their counterparts. CONCLUSIONS: Economic segregation is associated with differences in the distribution of food stores. Both low and high segregation territories should be prioritised by public policies to ensure healthy and adequate nutrition as a right for all communities. The former must continue to be protected from access to unhealthy commercial food outlets, while the latter must be the locus of actions that limit the availability of unhealthy commercial food store. |
format | Online Article Text |
id | pubmed-9991693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99916932023-03-08 Spatial inequalities of retail food stores may determine availability of healthful food choices in a Brazilian metropolis Lopes, Mariana Souza Caiaffa, Waleska Teixeira Andrade, Amanda Cristina de Souza do Carmo, Ariene Silva Barber, Sharrelle Mendes, Larissa Loures Friche, Amélia Augusta de Lima Public Health Nutr Research Paper OBJECTIVE: To examine the association between economic residential segregation and food environment. DESIGN: Ecological: Food stores categorised according to the NOVA classification were geocoded, and absolute availability was calculated for each neighbourhood. Segregation was measured using local G(i) (*) statistic, a measure of the sd between the economic composition of a neighbourhood (the proportion of heads of households in neighbourhoods earn monthly income of 0 to 3 minimum wages) and larger metropolitan area, weighted by the economic composition of surrounding neighbourhoods. Segregation was categorised as high (most segregated), medium (integrated) and low (less segregated or integrated). A proportional odds models were used to model the association between segregation and food environment. SETTING: Belo Horizonte, Brazil. PARTICIPANTS: Food stores. RESULTS: After adjustment for covariates, neighbourhoods characterised by high economic segregation had fewer food stores overall compared with neighbourhoods characterised by low segregation (OR = 0·56; 95 % CI (0·45, 0·69)). In addition, high segregated neighbourhoods were 49 % (OR = 0·51; 95 % CI (0·42, 0·61)) and 45 % (OR = 0·55; 95 % CI (0·45, 0·67)) less likely to have a high number of food stores that predominantly marketed ultra-processed foods and mixed food stores, respectively, as compared with their counterparts. CONCLUSIONS: Economic segregation is associated with differences in the distribution of food stores. Both low and high segregation territories should be prioritised by public policies to ensure healthy and adequate nutrition as a right for all communities. The former must continue to be protected from access to unhealthy commercial food outlets, while the latter must be the locus of actions that limit the availability of unhealthy commercial food store. Cambridge University Press 2022-07 2021-06-25 /pmc/articles/PMC9991693/ /pubmed/34169811 http://dx.doi.org/10.1017/S1368980021002706 Text en © The Authors 2021 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. |
spellingShingle | Research Paper Lopes, Mariana Souza Caiaffa, Waleska Teixeira Andrade, Amanda Cristina de Souza do Carmo, Ariene Silva Barber, Sharrelle Mendes, Larissa Loures Friche, Amélia Augusta de Lima Spatial inequalities of retail food stores may determine availability of healthful food choices in a Brazilian metropolis |
title | Spatial inequalities of retail food stores may determine availability of healthful food choices in a Brazilian metropolis |
title_full | Spatial inequalities of retail food stores may determine availability of healthful food choices in a Brazilian metropolis |
title_fullStr | Spatial inequalities of retail food stores may determine availability of healthful food choices in a Brazilian metropolis |
title_full_unstemmed | Spatial inequalities of retail food stores may determine availability of healthful food choices in a Brazilian metropolis |
title_short | Spatial inequalities of retail food stores may determine availability of healthful food choices in a Brazilian metropolis |
title_sort | spatial inequalities of retail food stores may determine availability of healthful food choices in a brazilian metropolis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9991693/ https://www.ncbi.nlm.nih.gov/pubmed/34169811 http://dx.doi.org/10.1017/S1368980021002706 |
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