Mediterranean Diet reduces ischemic heart disease risk in diabetes patients until reversed by smoking: Evidence from UK Biobank cohort

The MD pattern can effectively reduce the incidence of IHD in diabetic patients, and gender, income and smoking have modifying effects on the MD pattern.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-11-14
DOI
https://doi.org/10.1371/journal.pone.0336414
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mediterranean Diet reduces ischemic heart disease risk in diabetes patients until reversed by smoking: Evidence from UK Biobank cohort

Jie Ren, Bingyin Zhang, Danru Liu, Yongna Fan et al.
PLoS ONE
Nutritional Studies and Diet
article

Mediterranean Diet reduces ischemic heart disease risk in diabetes patients until reversed by smoking: Evidence from UK Biobank cohort

Jie Ren, Bingyin Zhang, Danru Liu, Yongna Fan, Lihua Li, Xiaolei Guo, Yiling Huang, Jixiang Ma, Jing Dong, Fengjun Du
article en

Abstract

The MD pattern can effectively reduce the incidence of IHD in diabetic patients, and gender, income and smoking have modifying effects on the MD pattern.

PLoS ONEVol. 20(11)
Shandong University (CN), Suzhou Municipal Hospital (CN), Shandong Provincial Hospital (CN), The People's Hospital of LinXia (CN), Jinan City People's Hospital (CN), Shandong First Medical University (CN), Shandong Center for Disease Control and Prevention (CN)
Openalex Percentile: Top 55%
Nutritional Studies and Diet
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.