Evidence map›Paper›PMID 41558970›Full record

ReviewChinese medical journal2026

Lifestyle factors and cardiometabolic risk.

Weiqin Li, Yun Shen, Gang Hu

Abstract readReview
In one paragraph

Review in Chinese medical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

3 authors.

Weiqin LiTianjin Women's and Children's Health Center, Tianjin 300070, China.
Yun ShenChronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA.
Gang HuChronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA.

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

abstractCardiometabolic risk encompasses the interconnected conditions of cardiovascular diseases (CVDs), type 2 diabetes (T2D), and other metabolic diseases, which are leading global health challenges. The American Heart Association (AHA) has introduced "Life's Essential 8" (LE8), a framework emphasizing eight key lifestyle and health factors, including diet, physical activity, smoking, sleep health, body weight, blood glucose, blood lipids, and blood pressure to optimize cardiovascular health and reduce the burden of cardiometabolic risk. This review examined the associations between individual and combined lifestyle factors and the development and progression of cardiometabolic risk, using CVD and T2D as representative conditions. Evidence highlighted that adherence to healthy lifestyle behaviors, such as maintaining a balanced diet, engaging in physical activity, avoiding smoking, and achieving a healthy weight, significantly reduced the risks of CVD, T2D, and hypertension. Studies showed that adherence to 3-4 healthy lifestyle factors lowers the risk of transition from baseline to diabetes, complications, and mortality. Despite the proven benefits, barriers such as limited access to healthy food and safe environments for physical activity hinder widespread adoption. Addressing these challenges requires innovative public health interventions and personalized strategies targeting high-risk populations. This review underscored the importance of promoting and adhering to LE8 principles to reduce the global burden of cardiometabolic risk and improve overall health outcomes.

Indexed as

Cardiovascular DiseasesLife StyleDiabetes Mellitus, Type 2ExerciseHumansRisk FactorsCardiometabolic diseasesCardiovascular diseasesChronic diseasesLife’s Essential 8LifestyleType 2 diabetes

Identifiers

PMID41558970
PMCPMC12959823

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.