Evidence map›Paper›PMID 39807360›Full record

ArticleCurrent research in food science2025

Dietary patterns and cardiovascular diseases among Chinese high-risk population aged 35 years and older: A 6-year cohort study.

Shanshan Chen, Shiyun Hu, Sijie Shen, Jialin Zhang, Xiaohui Xu, Ming Yu, Yu Xia, Qiang Cai, Wei Yu, Anni Lu and 3 more

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PubMed Full text at PMC Publisher
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Article in Current research in food science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

13 authors.

Shanshan ChenYangtze Delta Region Institute of Tsinghua University, Zhejiang, 314006, China.
Shiyun HuZhejiang Provincial Center for Cardiovascular Disease Control and Prevention, Zhejiang Hospital, Hangzhou, 310013, China.
Sijie ShenYangtze Delta Region Institute of Tsinghua University, Zhejiang, 314006, China.
Jialin ZhangYangtze Delta Region Institute of Tsinghua University, Zhejiang, 314006, China.
Xiaohui XuYangtze Delta Region Institute of Tsinghua University, Zhejiang, 314006, China.
Ming YuYangtze Delta Region Institute of Tsinghua University, Zhejiang, 314006, China.
Yu XiaYangtze Delta Region Institute of Tsinghua University, Zhejiang, 314006, China.
Qiang CaiYangtze Delta Region Institute of Tsinghua University, Zhejiang, 314006, China.
Wei YuZhejiang Provincial Center for Cardiovascular Disease Control and Prevention, Zhejiang Hospital, Hangzhou, 310013, China.
Anni LuPinehurst School, Albany, Auckland, 0632, New Zealand.
Ziqi Mia LiSaint Kentigern College, Pakuranga, Auckland, 2010, New Zealand.
Rasika GunarathneAuckland Bioengineering Institute, University of Auckland, Auckland, 1142, New Zealand.
Jun LuYangtze Delta Region Institute of Tsinghua University, Zhejiang, 314006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the dietary patterns of Chinese individuals aged 35 years and older who are at high risk of cardiovascular disease (CVD) and to explore the correlation between these dietary patterns and the risk of CVD. A total of 28,747 high-risk participants in China PEACE in Zhejiang Province from 2014 to 2019 were included in the analysis Dietary data were obtained using the Food Frequency Questionnaire, and dietary patterns were extracted through factor analysis. Cox regression was used to examine the relationship between the dietary patterns and CVD risk in the high-risk groups. Four dietary patterns were identified. The "Bean, egg, milk and pickle" dietary pattern was associated with an increased risk of CVD (HR = 1.29; 95% confidence interval (CI):1.09, 1.54; p＜0.05), after adjusting for confounders. In contrast, the "Seafood and animal meat", "Wheat and coarse cereals", and "Rice and vegetable" dietary patterns did not show a significant impact on CVD risk. These findings provide valuable insights for dietary guidance in high-risk groups and have significant implications for the prevention and management of CVD.

Indexed as

Cardiovascular diseaseDietary patternDisease riskFactor analysis

Identifiers

PMID39807360
PMCPMC11729030

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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.