Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | https://www.revistas.usp.br/rsp/article/view/195193 |
Resumo: | OBJECTIVE: To study the association between ultra-processed food consumption and carbon and water footprints of the Brazilian diet. METHODS: Cross-sectional analysis on data collected in 2008-9 on a probabilistic sample of the Brazilian population aged ≥ 10 years (n = 32,886). Individual food intake was assessed using two food records. The environmental impact of individual diets was calculated by multiplying the amount of each food by coefficients that quantify the atmospheric emissions of greenhouse gases in grams of carbon dioxide equivalent (carbon footprint) and freshwater use in liters (water footprint), both per gram or milliliter of food. The two coefficients consider the food life cycle ‘from farm to fork.’ Crude and adjusted linear regression models and tests for linear trends assessed the association between the ultra-processed food contribution to total energy intake (quintiles) and the diet carbon and water footprints. Potential confounders included age, sex, education, income, and region. Total energy intake was assessed as a potential mediation variable. RESULTS: In the crude models, the dietary contribution of ultra-processed foods was linearly associated with the carbon and water footprints of the Brazilian diet. After adjustment for potential confounders, the association remained significant only regarding the diet water footprint, which increased by 10.1% between the lowest and highest quintile of the contribution of ultra-processed foods. Additional adjustment for total energy intake eliminated this association indicating that the dietary contribution of ultra-processed foods increases the diet water footprint by increasing energy intake. CONCLUSIONS: The negative impact of ultra-processed foods on the diet water footprint, shown for the first time in this study, adds to the negative impacts of these foods, already demonstrated regarding dietary nutrient profiles and the risk for several chronic non-communicable diseases. This reinforces the recommendation to avoid ultra-processed foods made in the official Brazilian Dietary Guidelines and increasingly in dietary guidelines of other countries. |
id |
USP-23_2a29a8a1a7b0ab315ed6183f6121ea41 |
---|---|
oai_identifier_str |
oai:revistas.usp.br:article/195193 |
network_acronym_str |
USP-23 |
network_name_str |
Revista de Saúde Pública |
repository_id_str |
|
spelling |
Ultra-processed food intake and diet carbon and water footprints: a national study in BrazilDiet Ultra-Processed FoodCarbon FootprintWater FootprintBrazilOBJECTIVE: To study the association between ultra-processed food consumption and carbon and water footprints of the Brazilian diet. METHODS: Cross-sectional analysis on data collected in 2008-9 on a probabilistic sample of the Brazilian population aged ≥ 10 years (n = 32,886). Individual food intake was assessed using two food records. The environmental impact of individual diets was calculated by multiplying the amount of each food by coefficients that quantify the atmospheric emissions of greenhouse gases in grams of carbon dioxide equivalent (carbon footprint) and freshwater use in liters (water footprint), both per gram or milliliter of food. The two coefficients consider the food life cycle ‘from farm to fork.’ Crude and adjusted linear regression models and tests for linear trends assessed the association between the ultra-processed food contribution to total energy intake (quintiles) and the diet carbon and water footprints. Potential confounders included age, sex, education, income, and region. Total energy intake was assessed as a potential mediation variable. RESULTS: In the crude models, the dietary contribution of ultra-processed foods was linearly associated with the carbon and water footprints of the Brazilian diet. After adjustment for potential confounders, the association remained significant only regarding the diet water footprint, which increased by 10.1% between the lowest and highest quintile of the contribution of ultra-processed foods. Additional adjustment for total energy intake eliminated this association indicating that the dietary contribution of ultra-processed foods increases the diet water footprint by increasing energy intake. CONCLUSIONS: The negative impact of ultra-processed foods on the diet water footprint, shown for the first time in this study, adds to the negative impacts of these foods, already demonstrated regarding dietary nutrient profiles and the risk for several chronic non-communicable diseases. This reinforces the recommendation to avoid ultra-processed foods made in the official Brazilian Dietary Guidelines and increasingly in dietary guidelines of other countries.Universidade de São Paulo. Faculdade de Saúde Pública2022-02-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://www.revistas.usp.br/rsp/article/view/19519310.11606/s1518-8787.2022056004551Revista de Saúde Pública; Vol. 56 (2022); 6Revista de Saúde Pública; Vol. 56 (2022); 6Revista de Saúde Pública; v. 56 (2022); 61518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/rsp/article/view/195193/180407https://www.revistas.usp.br/rsp/article/view/195193/180406Copyright (c) 2022 Josefa Maria Fellegger Garzillo, Vanessa Fadanelli Schoenardie Poli, Fernanda Helena Marrocos Leite, Euridice Martinez Steele, Priscila Pereira Machado, Maria Laura da Costa Louzada, Renata Bertazzi Levy, Carlos Augusto Monteirohttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGarzillo, Josefa Maria FelleggerPoli, Vanessa Fadanelli SchoenardieLeite, Fernanda Helena MarrocosSteele, Euridice MartinezMachado, Priscila PereiraLouzada, Maria Laura da Costa Levy, Renata BertazziMonteiro, Carlos Augusto2022-02-22T19:48:06Zoai:revistas.usp.br:article/195193Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2022-02-22T19:48:06Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil |
title |
Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil |
spellingShingle |
Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil Garzillo, Josefa Maria Fellegger Diet Ultra-Processed Food Carbon Footprint Water Footprint Brazil |
title_short |
Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil |
title_full |
Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil |
title_fullStr |
Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil |
title_full_unstemmed |
Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil |
title_sort |
Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil |
author |
Garzillo, Josefa Maria Fellegger |
author_facet |
Garzillo, Josefa Maria Fellegger Poli, Vanessa Fadanelli Schoenardie Leite, Fernanda Helena Marrocos Steele, Euridice Martinez Machado, Priscila Pereira Louzada, Maria Laura da Costa Levy, Renata Bertazzi Monteiro, Carlos Augusto |
author_role |
author |
author2 |
Poli, Vanessa Fadanelli Schoenardie Leite, Fernanda Helena Marrocos Steele, Euridice Martinez Machado, Priscila Pereira Louzada, Maria Laura da Costa Levy, Renata Bertazzi Monteiro, Carlos Augusto |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Garzillo, Josefa Maria Fellegger Poli, Vanessa Fadanelli Schoenardie Leite, Fernanda Helena Marrocos Steele, Euridice Martinez Machado, Priscila Pereira Louzada, Maria Laura da Costa Levy, Renata Bertazzi Monteiro, Carlos Augusto |
dc.subject.por.fl_str_mv |
Diet Ultra-Processed Food Carbon Footprint Water Footprint Brazil |
topic |
Diet Ultra-Processed Food Carbon Footprint Water Footprint Brazil |
description |
OBJECTIVE: To study the association between ultra-processed food consumption and carbon and water footprints of the Brazilian diet. METHODS: Cross-sectional analysis on data collected in 2008-9 on a probabilistic sample of the Brazilian population aged ≥ 10 years (n = 32,886). Individual food intake was assessed using two food records. The environmental impact of individual diets was calculated by multiplying the amount of each food by coefficients that quantify the atmospheric emissions of greenhouse gases in grams of carbon dioxide equivalent (carbon footprint) and freshwater use in liters (water footprint), both per gram or milliliter of food. The two coefficients consider the food life cycle ‘from farm to fork.’ Crude and adjusted linear regression models and tests for linear trends assessed the association between the ultra-processed food contribution to total energy intake (quintiles) and the diet carbon and water footprints. Potential confounders included age, sex, education, income, and region. Total energy intake was assessed as a potential mediation variable. RESULTS: In the crude models, the dietary contribution of ultra-processed foods was linearly associated with the carbon and water footprints of the Brazilian diet. After adjustment for potential confounders, the association remained significant only regarding the diet water footprint, which increased by 10.1% between the lowest and highest quintile of the contribution of ultra-processed foods. Additional adjustment for total energy intake eliminated this association indicating that the dietary contribution of ultra-processed foods increases the diet water footprint by increasing energy intake. CONCLUSIONS: The negative impact of ultra-processed foods on the diet water footprint, shown for the first time in this study, adds to the negative impacts of these foods, already demonstrated regarding dietary nutrient profiles and the risk for several chronic non-communicable diseases. This reinforces the recommendation to avoid ultra-processed foods made in the official Brazilian Dietary Guidelines and increasingly in dietary guidelines of other countries. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02-18 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/195193 10.11606/s1518-8787.2022056004551 |
url |
https://www.revistas.usp.br/rsp/article/view/195193 |
identifier_str_mv |
10.11606/s1518-8787.2022056004551 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/195193/180407 https://www.revistas.usp.br/rsp/article/view/195193/180406 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/xml |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
dc.source.none.fl_str_mv |
Revista de Saúde Pública; Vol. 56 (2022); 6 Revista de Saúde Pública; Vol. 56 (2022); 6 Revista de Saúde Pública; v. 56 (2022); 6 1518-8787 0034-8910 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
collection |
Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
_version_ |
1800221802623926272 |