Department of Technology Management for Innovation, Graduate School of Engineering, University of Tokyo, Tokyo, Japan.
Institute for Future Initiatives (IFI), University of Tokyo, 7-3-1 Hongo, 113-8654 Tokyo, Japan.
Sci Adv. 2024 Apr 12;10(15):eadh1077. doi: 10.1126/sciadv.adh1077. Epub 2024 Apr 10.
Achieving sustainable dietary change is essential for safeguarding human and environmental health. However, dietary recommendations based on broad food groups may not accurately reflect real-world realities because individuals select and consume dishes with multiple food items influenced by diverse context-specific factors. Therefore, here we explored the sustainability trade-offs of dietary choices at the dish level through an optimization modeling approach tested in Japan. We estimated the nutritional quality, price, and carbon footprint of major Japanese dishes and examined 16 dietary scenarios to identify options that meet the nutritional requirements and minimize carbon footprint. Overall, mixed diets contain more combinations of dishes that meet nutritional requirements with lower carbon footprints compared to more restrictive dietary scenarios. We argue that the approach developed here enables a better understanding of dietary trade-offs, complements existing methods, and helps identify sustainable diets by offering nuanced information at the national and sub-national levels.
实现可持续的饮食改变对于保障人类和环境健康至关重要。然而,基于广泛食物组的饮食建议可能无法准确反映现实世界的情况,因为个人会选择和食用多种食物的菜肴,这些菜肴受到各种具体情境因素的影响。因此,在这里我们通过在日本进行的优化建模方法来探索菜肴层面的饮食选择的可持续性权衡。我们估计了主要日本菜肴的营养质量、价格和碳足迹,并研究了 16 种饮食方案,以确定满足营养需求和最小化碳足迹的选项。总体而言,与更严格的饮食方案相比,混合饮食包含更多符合营养需求且碳足迹更低的菜肴组合。我们认为,这里开发的方法可以更好地理解饮食权衡,补充现有方法,并通过在国家和次国家层面提供细致的信息来帮助确定可持续的饮食。