Evidence map›Paper›PMID 37949916›Full record

ArticleScientific data2023

Carbon footprint and embodied nutrition evaluation of 388 recipes.

Yin Long, Liqiao Huang, Rinakira Fujie, Pan He, Zhiheng Chen, Xiaoyan Xu, Yoshikuni Yoshida

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yin LongGraduate School of Engineering, University of Tokyo, Tokyo, Japan. longyinutokyo@gmail.com.ORCID 0000-0002-6761-9735
Liqiao HuangGraduate School of Engineering, University of Tokyo, Tokyo, Japan.
Rinakira FujieGraduate School of Engineering, University of Tokyo, Tokyo, Japan.
Pan HeSchool of Earth and Environmental Sciences, Cardiff University, Cardiff, UK.
Zhiheng ChenGraduate School of Engineering, University of Tokyo, Tokyo, Japan.
Xiaoyan XuGraduate School of Engineering, University of Tokyo, Tokyo, Japan.
Yoshikuni YoshidaGraduate School of Engineering, University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food consumption, which delivers fundamental energy and essential nutrients to human beings, is crucial for achieving a series of sustainable goals. Alongside rising population growth and living standards, there has been a significant increase in food cultivation demands, supply chain complexities, and waste management. Therefore, to protect human health and the environment, promoting sustainable food systems and the uptake of sustainable dietary habits are vital. Yet, information on the environmental and health impact of dietary choices remains inconsistent across multiple evaluation methods, which fail to deliver essential ideas to consumers. In this study, we formulate an integrated approach using Environmentally Extended Input-Output analysis, covering the food supply chain from production to the distribution phase, complemented with a hybrid Life Cycle Assessment for cooking and disposal processes, to quantify the carbon footprint of specific recipes. Our dataset also includes the distinct nutritional values of each recipe. This dataset not only informs the food industry and recipe platforms, enabling more sustainable choices, but also helps individuals balance nutritional value with environmental impact, leading to more informed and sustainable dietary decisions.

Indexed as

Carbon FootprintDietCookingFeeding BehaviorHumansNutritive Value

Identifiers

PMID37949916
PMCPMC10638372

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.