Evidence map›Paper›PMID 41388452›Full record

ArticleBMC public health2025

Association between EAT-Lancet diet adherence and incident type 2 diabetes in Shanghai adults: a prospective cohort study.

Xiaoli Xu, Genming Zhao, Xing Liu, Xiaohua Liu, Huilin Xu, Yonggen Jiang, Qian Peng, Jianhua Shi, Dandan He, Yibin Zhou and 1 more

Erratum issuedAbstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Xiaoli XuMinhang District Center for Disease Control and Prevention (Minhang District Institute of Health Supervision), Shanghai, 201101, China.
Genming ZhaoSchool of Public Health, Fudan University, Shanghai, 200032, China.
Xing LiuSchool of Public Health, Fudan University, Shanghai, 200032, China.
Xiaohua LiuMinhang District Center for Disease Control and Prevention (Minhang District Institute of Health Supervision), Shanghai, 201101, China.
Huilin XuMinhang District Center for Disease Control and Prevention (Minhang District Institute of Health Supervision), Shanghai, 201101, China.
Yonggen JiangSongjiang District Center for Disease Control and Prevention (Songjiang District Institute of Health Supervision), Shanghai, 201600, China.
Qian PengJiading District Center for Disease Control and Prevention (Jiading District Institute of Health Supervision), Shanghai, 201800, China.
Jianhua ShiXuhui District Center for Disease Control and Prevention (Xuhui District Institute of Health Supervision), Shanghai, 200237, China.
Dandan HeMinhang District Center for Disease Control and Prevention (Minhang District Institute of Health Supervision), Shanghai, 201101, China. dandae9@163.com.
Yibin ZhouMinhang District Center for Disease Control and Prevention (Minhang District Institute of Health Supervision), Shanghai, 201101, China. yibin_zhou@hotmail.com.
Mengru HeMinhang District Center for Disease Control and Prevention (Minhang District Institute of Health Supervision), Shanghai, 201101, China. xunmohmr@163.com.

Funding

the Fudan School of Public Health- Jiading CDC key disciplines for the high-quality development of public health GWGZLXK-2023-02the Shanghai Key Disciplines of Public Health (2023-2025) for the New Three-Year Action Plan GWVI-11.1-23
6 · The paper itself

Abstract

backgroundThe global rise in Type 2 Diabetes (T2D) is a particularly evident in China, where dietary patterns have shifted towards a Western diet, potentially exacerbating the issue. This necessitates effective prevention strategies, and objective dietary pattern analysis can inform such strategies.

objectiveTo preliminarily reveal the health benefits of the EAT-Lancet Diet in preventing T2D among adults in Shanghai, China.

methodsInformation gathered from the Shanghai Suburban Adult Cohort and Biobank (SSACB) were utilized, encompassing 29 507 participants with complete dietary and health assessments. Adherence to the EAT-Lancet diet was quantified by employing a semi-quantitative Food Frequency Questionnaire (FFQ) that included 29 food categories based on participants' responses recalling food frequency and average consumption amount over a 12-month period. The EAT-Lancet Index (ELDI) was obtained based on the intake level and reference range of 14 food components defined in the EAT-Lancet Diet (0-3 points per component; 0-42 points in total). Incident T2D cases were identified through medical records until February 28, 2023. Hazard ratios (HRs) and 95% confidence intervals (CIs) were computed by Cox proportional hazards models. Restricted cubic splines (RCS) were implemented to analyze the dose-response correlation.

resultsOver a median follow-up duration of 5.6 years (maximum 6.9 years), 977 new cases of T2D were recorded. A downward trend in the incidence rate was observed across different categories of the ELDI, ranging from 6.7 to 4.6 per 1000 person-years. Participants with top adherence to the EAT-Lancet diet (≥ 33) had a significantly lower risk of T2D compared to those with the lowest adherence (≤ 26), with a hazard ratio (HR) of 0.70 (95% CI: 0.52, 0.95). The incidence risk of T2D was reduced by 2% for each one-unit increment in the ELDI across adjusted models (HR: 0.98, 95% CI: 0.96, 0.99; p-value < 0.05). A nonlinear correlation between the ELDI and T2D was observed, indicating that higher adherence to the EAT-Lancet diet, particularly with an index above 32, was associated with a decreased likelihood of T2D.

conclusionThis study provides compelling evidence that greater adherence to the EAT-Lancet diet is associated with a reduced likelihood of T2D events among Shanghai residents. This highlights the critical importance of sustainable dietary patterns in preventing diabetes within the demographic context of China.

Indexed as

Diabetes Mellitus, Type 2DietPatient ComplianceAdultAgedChinaDiet SurveysFemaleHumansIncidenceMaleMiddle AgedProspective StudiesChinese populationEAT-lancet dietProspective cohort studyShanghai adultType 2 diabetes

Identifiers

PMID41388452
PMCPMC12699936

What Socratic 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 Socratic graph.