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

被引:6
|
作者
Fellegger Garzillo, Josefa Maria [1 ]
Schoenardie Poli, Vanessa Fadanelli [1 ]
Marrocos Leite, Fernanda Helena [1 ]
Steele, Euridice Martinez [1 ]
Machado, Priscila Pereira [2 ]
da Costa Louzada, Maria Laura [1 ,3 ]
Levy, Renata Bertazzi [4 ]
Monteiro, Carlos Augusto [1 ,3 ]
机构
[1] Univ Sao Paulo, Nucleo Pesquisas Epidemiol Nutr & Saude, Sao Paulo, SP, Brazil
[2] Deakin Univ, Inst Phys Act & Nutr, Melbourne, Vic, Australia
[3] Univ Sao Paulo, Fac Saude Publ, Dept Nutr, Av Dr Arnaldo 715, BR-01246904 Sao Paulo, SP, Brazil
[4] Univ Sao Paulo, Dept Med Prevent, Fac Med, Sao Paulo, SP, Brazil
来源
REVISTA DE SAUDE PUBLICA | 2022年 / 56卷
关键词
Diet; Ultra-Processed Food; Carbon Footprint; Water Footprint; Brazil; ENVIRONMENTAL IMPACTS; CONSUMPTION; PRODUCTS;
D O I
10.1606/s1518-8787.2022056004551
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
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页数:9
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