Evidence map›Paper›PMID 40585338›Full record

ArticleAmerican journal of preventive cardiology2025

Associations of educational attainment and traditional risk factor control with cardiovascular disease.

Jintao Tao, Xiaohong Zhao, Bo Li, Huayu Sun, Yuhao Hu, Shuohua Chen, Shouling Wu, Yuntao Wu

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Exploring Psychological Factors and Metacognitive Beliefs in Cardiac Rehabilitation: A Single-Group Pre-Post Study.European journal of investigation in health, psychology and education · 2025
    Article
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

8 authors.

Jintao TaoGraduate School of North China University of Science and Technology, No 21 Bohai Avenue, Caofeidian New City, Tangshan 063210 Hebei, China.
Xiaohong ZhaoDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan 063000 Hebei, China.
Bo LiGraduate School of North China University of Science and Technology, No 21 Bohai Avenue, Caofeidian New City, Tangshan 063210 Hebei, China.
Huayu SunDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan 063000 Hebei, China.
Yuhao HuDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan 063000 Hebei, China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan 063000 Hebei, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan 063000 Hebei, China.
Yuntao WuDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan 063000 Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cardiovascular disease (CVD) incidence is rising globally, with a significant burden in China. Educational attainment, a key socioeconomic factor, is strongly associated with CVD risk, partly due to differences in risk factor management. This study examines the association between educational attainment, cardiovascular risk factor control, and CVD incidence. Methods: This study analyzed data from the Kailuan Study, which enrolled 101,510 participants (2006-2007), with 92,186 meeting the inclusion criteria. Data collection included epidemiological surveys, anthropometric measurements, blood pressure assessments, smoking status evaluations, and biochemical tests. A composite risk factor control score was based on blood pressure, fasting blood glucose, low-density lipoprotein cholesterol, smoking status, and body mass index. Participants were followed until December 31, 2022, with CVD events-including coronary heart disease (CHD) and cerebrovascular disease (CBD)-as study endpoints. Cox proportional hazards models estimated hazard ratios (HRs) and 95 % confidence intervals (CIs), and mediation analysis assessed the role of risk factor control. Results: During a 14.48-year follow-up, 11,145 CVD events occurred. Lower education was associated with higher CVD risk (HR: 1.51, 95 % CI: 1.35-1.69), with risk factor control mediating 14.2 % of this association. Better risk factor management correlated with lower CVD risk, particularly among highly educated individuals. Conclusion: Lower education significantly increases CVD risk, especially among those with poor risk factor control. While risk factor management mitigates some of this risk, its effect is limited, highlighting the need for comprehensive interventions, including improved health education and social support.

Indexed as

Cardiovascular diseaseEducational attainmentRisk factors

Identifiers

PMID40585338
PMCPMC12206016

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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.