Evidence map›Paper›PMID 42143092›Full record

ArticleScientific data2026

Comprehensive nutritional, environmental, and economic assessment for 3,302 recipes in China.

Yin Long, Xiaodan Shen, Ziyi Zhou, Niu Niu, Liqiao Huang, Fanrong Chen, Tianyao Shen, Yuyan Huang, Lingkang Xu, Shiqi Tan and 12 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Yin Long *Graduate School of Engineering, University of Tokyo, Tokyo, 1138654, Japan. longyinutokyo@gmail.com.ORCID http://orcid.org/0000-0002-6761-9735
Xiaodan Shen *Jinhe Center for Economic, Xi'an Jiaotong University, Xi'an, 710049, China.
Ziyi Zhou *Graduate School of Engineering, University of Tokyo, Tokyo, 1138654, Japan.
Niu NiuGraduate School of Engineering, University of Tokyo, Tokyo, 1138654, Japan.
Liqiao HuangGraduate School of Engineering, University of Tokyo, Tokyo, 1138654, Japan.ORCID http://orcid.org/0000-0002-8117-8999
Fanrong ChenGraduate School of Engineering, University of Tokyo, Tokyo, 1138654, Japan.
Tianyao ShenGraduate School of Engineering, University of Tokyo, Tokyo, 1138654, Japan.
Yuyan HuangCollege of Architecture and Urban Planning, Tongji University, Shanghai, 200092, China.
Lingkang XuGraduate School of Engineering, University of Tokyo, Tokyo, 1138654, Japan.
Shiqi TanGraduate School of Engineering, University of Tokyo, Tokyo, 1138654, Japan.
Yufan LiuCollege of Architecture and Urban Planning, Tongji University, Shanghai, 200092, China.
Zhenyiran TianChang'an Dublin International Transportation College, Chang'an University, Xi'an, 710018, China.
Yangjiashen LiSchool of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Kexin LiuGraduate School of Engineering, University of Tokyo, Tokyo, 1138654, Japan.
Yujie WangCollege of Design and Engineering, National University of Singapore, Singapore, 117575, Singapore.
Meng YuAdam Smith Business School, University of Glasgow, Glasgow, G24DQ, UK.
Junyuan HuangSchool of Mechanical and Transportation Engineering, China University of Petroleum, Beijing, 102249, China.
Jingyi JiangCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Minghao ZhuangState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Xiangbo XuInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Qiran ZhaoCollege of Economics and Management, China Agricultural University, Beijing, China.
Yoshikuni YoshidaGraduate School of Engineering, University of Tokyo, Tokyo, 1138654, Japan.ORCID http://orcid.org/0000-0002-8834-8671

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 23K11542MEXT | Japan Society for the Promotion of Science (JSPS) 24K03146
6 · The paper itself

Abstract

Dietary choices are fundamental to both human health and planetary sustainability, yet most evaluations still operate at the level of ingredients or food groups. This perspective neglects the cultural and culinary contexts that shape consumption and fails to capture the transformations induced by cooking methods. Such gaps limit our ability to assess trade-offs between nutrition, environmental sustainability, and economic affordability in ways that reflect real-world diets. China, with its rich and regionally diverse food system, provides a critical setting for advancing dish-level sustainability assessments. Our previous work established systematic profiles for Sichuan and Cantonese cuisines, but comprehensive coverage of other major culinary traditions has been lacking. The absence of such data constrains evidence-based strategies for culturally relevant dietary transitions. Here we fill this gap by compiling and standardizing a dataset of 3,302 recipes across six additional cuisines-Shandong, Jiangsu, Zhejiang, Fujian, Hunan, and Anhui. Each record includes detailed nutrient profiles, life-cycle environmental footprints, and market-based cost estimates, offering a robust foundation for comparative, dish-level sustainability analysis.

Indexed as

CookingDietEnvironmentChinaConservation of Natural ResourcesHumans

Identifiers

PMID42143092
PMCPMC13438566

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.