Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil

Carregando...
Imagem de Miniatura
Citações na Scopus
27
Tipo de produção
article
Data de publicação
2022
Título da Revista
ISSN da Revista
Título do Volume
Editora
REVISTA DE SAUDE PUBLICA
Autores
GARZILLO, Josefa Maria Fellegger
POLI, Vanessa Fadanelli Schoenardie
LEITE, Fernanda Helena Marrocos
STEELE, Euridice Martinez
MACHADO, Priscila Pereira
LOUZADA, Maria Laura da Costa
MONTEIRO, Carlos Augusto
Citação
REVISTA DE SAUDE PUBLICA, v.56, article ID 6, 9p, 2022
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
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 2008-2009 on a probabilistic sample of the Brazilian population aged 10 years (n = 32,886). Individual food intake was assessed using two 24-hour food records, on non-consecutive days. 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 ultraprocessed 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 noncommunicable 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.
Palavras-chave
Diet, Ultra-Processed Food, Carbon Footprint, Water Footprint, Brazil
Referências
  1. Bene C, 2019, GLOB FOOD SECUR-AGR, V23, P149, DOI 10.1016/j.gfs.2019.04.009
  2. Martins APB, 2013, REV SAUDE PUBL, V47, P656, DOI 10.1590/S0034-8910.2013047004968
  3. Brown J, 2021, BBC FUTURE 0617
  4. Canhada SL, 2020, PUBLIC HEALTH NUTR, V23, P1076, DOI 10.1017/S1368980019002854
  5. Louzada MLD, 2018, PUBLIC HEALTH NUTR, V21, P94, DOI 10.1017/S1368980017001434
  6. Louzada MLD, 2015, PREV MED, V81, P9, DOI 10.1016/j.ypmed.2015.07.018
  7. da Silva JT, 2021, LANCET PLANET HEALTH, V5, pE775, DOI 10.1016/S2542-5196(21)00254-0
  8. Delpino Felipe Mendes, 2021, Int J Epidemiol, DOI 10.1093/ije/dyab247
  9. Fardet A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12156280
  10. Garzillo JMF, 2021, REV SAUDE PUBL, V55, DOI 10.11606/s1518-8787.2021055003614
  11. Food and Agriculture Organization of the United Nations, 2022, FOOD BAS DIET GUID R
  12. Garzillo JMF, 2019, FOOTPRINTS FOODS CUL
  13. Hadjikakou M, 2017, ECOL ECON, V131, P119, DOI 10.1016/j.ecolecon.2016.08.006
  14. Instituto Brasileiro de Geografia e Estatistica, 2011, PESQ ORR AM FAM 2008
  15. Instituto Brasileiro de Geografia e Estatistica Diretoria de Pesquisas Coordenacao de Trabalho e Rendimento, 2011, PESQ ORC FAM 2008 20
  16. Le Haut Conseil de la Sante Publique (FR), 2018, AV REL OBJ SANT PUBL
  17. Martini D, 2021, NUTRIENTS, V13, DOI 10.3390/nu13103390
  18. Ministry of Health (BR) Secretariat of Health Care Primary Health Care Department, 2014, DIET GUID BRAZ POP
  19. Ministry of Health (IL), 2019, NUTR REC
  20. Ministry of Health (MY), 2020, MAL DIET GUID
  21. Monteiro CA, 2013, OBES REV, V14, P21, DOI 10.1111/obr.12107
  22. Monteiro CA, 2019, PUBLIC HEALTH NUTR, V22, P936, DOI 10.1017/S1368980018003762
  23. Monteiro CA, 2018, PUBLIC HEALTH NUTR, V21, P5, DOI 10.1017/S1368980017000234
  24. Pagliai G, 2021, BRIT J NUTR, V125, P308, DOI 10.1017/S0007114520002688
  25. Rauber F, 2015, NUTR METAB CARDIOVAS, V25, P116, DOI 10.1016/j.numecd.2014.08.001
  26. Rivera XCS, 2014, J CLEAN PROD, V73, P294, DOI 10.1016/j.jclepro.2014.01.008
  27. Scaranni PDD, 2021, PUBLIC HEALTH NUTR, V24, P3352, DOI 10.1017/S136898002100094X
  28. Seferidi P, 2020, LANCET PLANET HEALTH, V4, pE437, DOI 10.1016/S2542-5196(20)30177-7
  29. Suksatan W, 2022, NUTRIENTS, V14, DOI 10.3390/nu14010174