Evidence map›Paper›PMID 42560398›Full record

Observational studyEuropean journal of nutrition2026

Adherence to a Chinese planetary health diet, environmental impacts, and all-cause mortality risk: a prospective cohort study from the China Health and Nutrition Survey.

Jialin Lu, Wenting Wang, Tianyou Peng, Yue Zhou, Peishan Tan, Mengfan Shen, Lu Tang, Jingtong Liang, Baiyang Chen, Dan Li and 1 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in European journal of nutrition, 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

11 authors.

Jialin Lu *School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, People's Republic of China.
Wenting Wang *School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, People's Republic of China.
Tianyou PengSchool of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, People's Republic of China.
Yue ZhouSchool of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, People's Republic of China.
Peishan TanSchool of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, People's Republic of China.
Mengfan ShenSchool of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, People's Republic of China.
Lu TangSchool of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, People's Republic of China.
Jingtong LiangSchool of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, People's Republic of China.
Baiyang ChenSchool of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, People's Republic of China.
Dan LiDepartment of Nutrition, School of Public Health, Sun Yat-sen University, 74 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China. lidan58@mail.sysu.edu.cn.
Aiping FangSchool of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, People's Republic of China. fangap@sustech.edu.cn.

Funding

National Natural Science Foundation of China 81803219Natural Science Foundation of Guangdong Province, China 2022A1515011744
6 · The paper itself

Abstract

purposeWe aimed to develop a culturally specific Chinese Planetary Health Diet Score (CPHDS) and to evaluate its associations with environmental footprints and all-cause mortality.

methodsWe constructed a 14-component CPHDS (range 0-140) based on the 2019 EAT-Lancet Commission recommendations, the latest Chinese Dietary Guidelines, and existing dietary scoring frameworks, while incorporating adaptations specific to Chinese dietary practices and nutritional characteristics. Using data from the China Health and Nutrition Survey (1991-2015), we included 19,660 adults without cardiovascular disease or cancer at baseline. Dietary intake was repeatedly assessed using three consecutive 24-hour dietary recalls, and mortality data were collected through household surveys. Linear mixed-effects models and time-varying Cox proportional hazards models were used to evaluate the associations of the CPHDS with diet-related environmental impacts and all-cause mortality, respectively.

resultsThe mean CPHDS was 50.3 (SD 11.3) points. A higher CPHDS was associated with reduced greenhouse gas emissions [β

conclusionsGreater adherence to the Chinese Planetary Health Diet was associated with reduced diet-related environmental burdens and a lower risk of all-cause mortality in Chinese adults, supporting the potential relevance of a culturally adapted planetary health diet framework for promoting both environmental sustainability and population health for China.

Indexed as

Diet, HealthyEnvironmentMortalityNutrition SurveysPatient ComplianceAdultAgedChinaFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsAll-cause mortalityChina Health and Nutrition SurveyEnvironmental impactsPlanetary health dietProspective cohort study

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Registered trials

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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.