How to Build a Standardized Country-Specific Environmental Food Database for Nutritional Epidemiology Studies.
How to Build a Standardized Country-Specific Environmental Food Database for Nutritional Epidemiology Studies.
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DOI：
10.1371/journal.pone.0150617
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Darmon N
中科院分区：
文献类型：
--
作者：
Bertoluci G;Masset G;Gomy C;Mottet J;Darmon N
在流行病学调查中，缺乏标准化的国家特定环境数据，无法将其与营养和饮食数据联合收割机结合起来，以评估个人饮食对环境的影响，因此依赖于基于从异质文献中检索的值的环境食品数据集。本研究的目的是比较和评估的相对优势和限制的数据库的粮食温室气体排放（GHGE）值估计的混合方法相结合的输入/输出和LCA的方法，GHGE值从文献中检索的数据集。法国是本研究所考虑的地理周边，但方法也可适用于其他国家。402食品，代表法国的饮食，GHGE估计使用混合方法。与此同时，从现有文献中收集了个别食物的GHGE。混合方法和综述文献中的每种食品类别GHGE值的中位值具有很强的相关性（斯皮尔曼相关性为0.83），显示出类似的食品类别排名。中位值显着不同，只有5个（29个）食品类别，包括反刍动物肉类类的混合方法得到较低的估计比现有的文献。分析还显示，文献值来自异质性研究，这些研究并不总是来源于不同的LCA建模假设。相比之下，混合方法有助于为基于产品的数据集建立来源可靠、具有代表性的国家标准。我们预计这种混合方法将成为更好的饮食环境影响评估的起点。
There is a lack of standardized country-specific environmental data to combine with nutritional and dietary data for assessing the environmental impact of individual diets in epidemiology surveys, which are consequently reliant on environmental food datasets based on values retrieved from a heterogeneous literature. The aim of this study was to compare and assess the relative strengths and limits of a database of food greenhouse gas emissions (GHGE) values estimated with a hybrid method combining input/output and LCA approaches, with a dataset of GHGE values retrieved from the literature. France is the geographical perimeter considered in this study, but the methodology could be applied to other countries. The GHGE of 402 foodstuffs, representative of French diet, were estimated using the hybrid method. In parallel, the GHGE of individual foods were collected from existing literature. Median per-food-category GHGE values from the hybrid method and the reviewed literature were found to correlate strongly (Spearman correlation was 0.83), showing similar rankings of food categories. Median values were significantly different for only 5 (out of 29) food categories, including the ruminant meats category for which the hybrid method gave lower estimates than those from existing literature. Analysis also revealed that literature values came from heterogeneous studies that were not always sourced and that were conducted under different LCA modeling hypotheses. In contrast, the hybrid method helps build reliably-sourced, representative national standards for product-based datasets. We anticipate this hybrid method to be a starting point for better environmental impact assessments of diets.