首页> 外文期刊>The Lancet Planetary Health >Greenhouse gas emissions, water footprint, and ecological footprint of food purchases according to their degree of processing in Brazilian metropolitan areas: a time-series study from 1987 to 2018
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Greenhouse gas emissions, water footprint, and ecological footprint of food purchases according to their degree of processing in Brazilian metropolitan areas: a time-series study from 1987 to 2018

机译:温室气体排放,水占地面积和食品的生态足迹根据其在巴西大都市地区的加工程度:1987年至2018年的时间序列研究

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BackgroundThe consumption of ultra-processed foods has increased worldwide and has been related to the occurrence of obesity and other non-communicable diseases. However, little is known about the environmental effects of ultra-processed foods. We aimed to assess the temporal trends in greenhouse gas emissions (GHGE), water footprint, and ecological footprint of food purchases in Brazilian metropolitan areas, and how these are affected by the amount of food processing.MethodsIn this time-series study, we used data from five Brazilian Household Budget Surveys (1987–88, 1995–96, 2002–03, 2008–09, 2017–18) to calculate GHGE, water footprint, and ecological footprint per 1000 kcal of food and beverages purchased. Food items were classified into NOVA food groups: unprocessed or minimally processed foods (G1); processed culinary ingredients (G2); processed foods (G3); and ultra-processed foods (G4). We calculated the proportion each NOVA food group contributes to daily kcal per person. Linear regression was performed to evaluate trends of the environmental impacts across the years.FindingsBetween 1987–88 and 2017–18, diet-related GHGE increased by 21% (from 1538·6 g CO2equivalent [CO2e] per 1000 kcal [95% CI 1473·3–1604·0] to 1866·0 g CO2e per 1000 kcal [1788·0–1944·0]; ptrend<0·0001), diet-related water footprint increased by 22% (from 1447·2 L/1000 kcal [95% CI 1400·7–1493·8] to 1769·1 L/1000 kcal [1714·5–1823·7]; ptrend<0·0001), and diet-related ecological footprint increased by 17% (from 9·69 m2/1000 kcal [95% CI 9·33–10·05] to 11·36 m2/1000 kcal [10·91–11·81]; ptrend<0·0001). We found that the change in the environmental indicators over time varied between NOVA food groups. We did not find evidence of a change in the environmental indicators for G1 foods over time. GHGE from G2 foods decreased by 18% (ptrend<0·0001), whereas GHGE from G4 foods increased by 245% (ptrend<0·0001). The water footprint from G2 foods decreased by 17% (ptrend<0·0001) whereas the water footprint from G4 foods increased by 233% (ptrend<0·0001). The ecological footprint from G2 foods decreased by 13% (ptrend<0·0001), whereas the ecological footprint from G3 foods increased by 49% (ptrend<0·0001) and from G4 foods increased by 183% (ptrend<0·0001). We found no significant change in contribution by any other NOVA food groups to any of the three environmental indicators over the study period.InterpretationThe environmental effects of the Brazilian diet have increased over the past three decades along with increased effects from ultra-processed foods. This means that dietary patterns in Brazil are becoming potentially more harmful to human and planetary health. Therefore, a shift in the current trend would be needed to enhance sustainable healthy food systems.FundingScience and Technologies Facilities Council—Global Challenges Research Fund.
机译:背景技术超加工食品的消费在全球范围内增加,与肥胖和其他非传染病的发生有关。然而,关于超加工食品的环境影响知之甚少。我们旨在评估巴西大都市区的温室气体排放(GHGE),水足迹和食品购买的生态足迹的时间趋势,以及这些时间的影响方式。此时序列研究,我们使用过这项时间序列研究。来自五个巴西家庭预算调查(1987-88,1995-96,2002-03,2008-09,2017-18)计算GHAGE,水占地面积,每1000千卡购买的食品和饮料的生态足迹。食品被分类为Nova Food组:未加工或最低处理的食物(G1);加工烹饪成分(G2);加工食品(G3);和超加工的食物(G4)。我们计算每人诺瓦食品集团的比例达到每人每日千卡。进行线性回归以评估多年来的环境影响的趋势。饮食相关GHGE的饮食与每1000千卡(1538·6g)增加21%(来自1538·6g CO2等效[CO2E] [95%CI 1473 [95%CI 1473] ·3-1604·0]至1866·0 G CO2E每1000千卡[1788·0-1944·0]; PTREND <0·0001),饮食相关的水占地面积增加22%(从1447·2 L / 1000增加kcal [95%ci 1400·7-1493·8]至1769·1 l / 1000 kcal [1714·5-1823·7]; Ptrend <0·0001),饮食相关的生态足迹增加了17%(来自9·69 m2 / 1000 kcal [95%ci 9·33-10·05]至11·36 m2 / 1000千卡[10·91-11·81]; PTREND <0·0001)。我们发现,Nova Food组之间的环境指标的变化变化。我们没有发现G1食物的环境指标变化的证据随着时间的推移。 G2食物的GHGE减少18%(PTREND <0·0001),而G4食物的GHGE增加245%(PTREND <0·0001)。来自G2食物的水占地面积减少了17%(PTREND <0·0001),而G4食物的水占地面积增加233%(PTREND <0·0001)。来自G2食物的生态足迹减少了13%(Ptrend <0·0001),而G3食物的生态足迹增加49%(Ptrend <0·0001),G4食物增加183%(Ptrend <0·0001 )。我们发现任何其他Nova食品群体对研究期内的任何三个环境指标的贡献没有重大变化。解释巴西饮食的环境影响在过去的三十年中增加了,而超加工食品的影响增加。这意味着巴西的饮食模式对人类和行星健康变得可能更有害。因此,需要在目前趋势的转变,以增强可持续健康的食品系统。全球挑战研究基金。

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