4.7 Article

Sustainable diets for the future: can we contribute to reducing greenhouse gas emissions by eating a healthy diet?

期刊

AMERICAN JOURNAL OF CLINICAL NUTRITION
卷 96, 期 3, 页码 632-639

出版社

AMER SOC NUTRITION-ASN
DOI: 10.3945/ajcn.112.038729

关键词

-

资金

  1. World Wildlife Fund-United Kingdom & Scottish Government Rural and Environment Science and Analytical Services

向作者/读者索取更多资源

Background: Food systems account for 18-20% of UK annual greenhouse gas emissions (GHGEs). Recommendations for improving food choices to reduce GHGEs must be balanced against dietary requirements for health. Objective: We assessed whether a reduction in GHGEs can be achieved while meeting dietary requirements for health. Design: A database was created that linked nutrient composition and GHGE data for 82 food groups. Linear programming was used iteratively to produce a diet that met the dietary requirements of an adult woman (19-50 y old) while minimizing GHGEs. Acceptability constraints were added to the model to include foods commonly consumed in the United Kingdom in sensible quantities. A sample menu was created to ensure that the quantities and types of food generated from the model could be combined into a realistic 7-d diet. Reductions in GHGEs of the diets were set against 1990 emission values. Results: The first model, without any acceptability constraints, produced a 90% reduction in GHGEs but included only 7 food items, all in unrealistic quantities. The addition of acceptability constraints gave a more realistic diet with 52 foods but reduced GHGEs by a lesser amount of 36%. This diet included meat products but in smaller amounts than in the current diet. The retail cost of the diet was comparable to the average UK expenditure on food. Conclusion: A sustainable diet that meets dietary requirements for health with lower GHGEs can be achieved without eliminating meat or dairy products or increasing the cost to the consumer. Am J Clin Nutr 2012;96:632-9.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据