Evidence map›Paper›PMID 41086200›Full record

ArticlePloS one2025

Associations across food consumption, diabetes prevalence and the environmental impacts: Evidence from China.

Bingtao Su, Xianqiang Cao

Abstract read
In one paragraph

Article in PloS one, 2025. 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

2 authors.

Bingtao SuSchool of Philosophy and Social Development, Shandong University, Jinan, China.ORCID https://orcid.org/0009-0006-8705-9743
Xianqiang CaoSchool of Political Science and Public Administration, Shandong University, Jimo, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary choices are shifting globally in ways that are directly affecting both the environment and human health. Building on the Diabetes Epidemiological Survey, and the latest data from the China Statistical Yearbook, this study quantified Chinese people's dietary ecological footprint per capita (EFP) and the greenhouse gas (GHG) emissions at the provincial level with different prevalence of diabetes and prediabetes. Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%-34.9%, and then decreased significantly with the increasing prevalence of prediabetes. The increasing prevalence of diabetes was tightly linked to increased consumption of pork, poultry, seafood, eggs, and vegetables. Moreover, the over-consumption of meat, oil, and cereal, together with the under-consumption of vegetables, fruits, eggs, and milk, will further increase both the prevalence of diabetes and environmental degradation. Yet, people's concern for their health will drive them to pursue a healthier diet, which in turn will promote environmental sustainability. Findings in this study can help to reshape the dietary patterns that can effectively reduce the environmental and health impacts not only in China but also in other countries with accelerated diet-environment-health trilemma.

Indexed as

Diabetes MellitusDietEnvironmentChinaFemaleGreenhouse GasesHumansMalePrediabetic StatePrevalenceGreenhouse Gases

Identifiers

PMID41086200
PMCPMC12520399

What OpenQuestion holds

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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.