The Rowett Institute, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, UK.
Nutrients. 2024 Sep 19;16(18):3166. doi: 10.3390/nu16183166.
BACKGROUND/OBJECTIVES: Metrics drive diagnosis, and metrics will also drive our response to the challenge of climate change. Recognising how current scientific research defines and uses metrics of the environmental impact of human diets is essential to understand which foods, food groups, or dietary patterns are associated with a higher environmental impact.
This research, aided by artificial intelligence (AI), aimed to search, map, and synthesise current evidence on the commonly used definitions and metrics of the environmental impacts of human diets.
We identified 466 studies measuring the environmental impact of diets. Most studies were from North American or European countries (67%), with data mainly from high-income countries (81%). Most studies did not include methods to recall the provenance of the foods consumed. Most (53%) of the studies only used one metric to estimate the environmental impact of human diets, with 82% of the studies using GHGE.
Agreement on how the environmental impact of diets is measured and more comprehensive and accurate data on the environmental impact of single foods is essential to better understand what changes in food systems are needed, at a consumer and policy level, to make a well-meaning change towards a more sustainable diet.
背景/目的:指标推动诊断,指标也将推动我们应对气候变化的挑战。认识到当前科学研究如何定义和使用人类饮食对环境影响的指标,对于理解哪些食物、食物组或饮食模式与更高的环境影响有关至关重要。
本研究借助人工智能(AI),旨在搜索、绘制和综合当前关于人类饮食对环境影响的常用定义和指标的证据。
我们确定了 466 项衡量饮食环境影响的研究。大多数研究来自北美或欧洲国家(67%),数据主要来自高收入国家(81%)。大多数研究没有包括回忆所食用食物来源的方法。大多数(53%)的研究仅使用一种指标来估计人类饮食的环境影响,其中 82%的研究使用 GHGE。
在衡量饮食的环境影响方面达成一致意见,以及更全面和准确的单一食物环境影响数据,对于更好地了解在消费者和政策层面上需要对食品系统进行哪些改变,以朝着更可持续的饮食方向做出善意的改变至关重要。