期刊
PUBLIC HEALTH NUTRITION
卷 23, 期 16, 页码 3028-3044出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1017/S136898002000227X
关键词
3V rule; Plant; Real; Varied; Health; Food systems; Sustainability
Objective: To define a generic diet to protect human health and food system sustainability based on three dimensions: animal:plant ratio, degree of food processing and food diversity. Design/setting: The percentages of maximum animal and ultra-processed energy content were evaluated from scientific papers (Web of Science database) and reports from international scientific institutions. Then, a weekly French standard diet, including these percentages and food diversity (>= 42 different foods), was designed to calculate adequacy to nutritional needs. Results: Based on traditional and scientifically based healthy diets, and on foresight scenarios for sustainable diets at horizon 2050, a median daily animal energy content intake of 15 % was found to be protective towards both human health and environment. Based on epidemiological studies associating ultra-processed energy consumption with increased overweight/obesity risk, a precautionary threshold of approximately 15 % ultra-processed energy content was observed. The French diet allows addressing all nutritional needs and other nutritional indicators such as maximum salt and simple sugar consumption,alpha-linolenic acid:linoleic acid ratio and essential amino acids. This diet was named the '3V rule' for Vegetal (plant), Vrai (real) and Varie (varied, if possible organic, local and seasonal). This generic diet can be adapted according to regional traditions and environmental characteristics. Excluding only one dimension of it would threaten both health and food system sustainability. Conclusions: Tending towards a 3V-based diet, while respecting local constraints, should allow preserving human health, environment (greenhouse gas emissions, pollution, deforestation, etc.), small farmers, animal welfare and biodiversity, culinary traditions and socioeconomics (including an alleviation of public health cost).
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。
推荐
暂无数据