Evidence map›Paper›PMID 39458547›Full record

ArticleNutrients2024

Healthy Lifestyle, Metabolic Signature, and Risk of Cardiovascular Diseases: A Population-Based Study.

Yuhua Wang, Fei Tian, Zhengmin Min Qian, Shanshan Ran, Jingyi Zhang, Chongjian Wang, Lan Chen, Dashan Zheng, Michael G Vaughn, Maya Tabet and 1 more

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

11 authors.

Yuhua WangDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Fei TianDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Zhengmin Min QianDepartment of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63104, USA.
Shanshan RanDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Jingyi ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Chongjian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Lan ChenDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Dashan ZhengDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Michael G VaughnSchool of Social Work, Saint Louis University, St. Louis, MO 63103, USA.
Maya TabetCollege of Global Population Health, University of Health Sciences and Pharmacy in St. Louis, St. Louis, MO 63110, USA.
Hualiang LinDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.

Funding

Bill & Melinda Gates Foundation INV-016826National Natural Science Foundation of China 82373534
6 · The paper itself

Abstract

backgroundAlthough healthy lifestyle has been linked with a reduced risk of cardiovascular diseases (CVDs), the potential metabolic mechanism underlying this association remains unknown.

methodsWe included 161,018 CVD-free participants from the UK Biobank. Elastic net regression was utilized to generate a healthy lifestyle-related metabolic signature. The Cox proportional hazards model was applied to investigate associations of lifestyle-related metabolic signature with incident CVDs, and mediation analysis was conducted to evaluate the potential mediating role of metabolic profile on the healthy lifestyle-CVD association. Mendelian randomization (MR) analysis was conducted to detect the causality.

resultsDuring 13 years of follow-up, 17,030 participants developed incident CVDs. A healthy lifestyle-related metabolic signature comprising 123 metabolites was established, and it was inversely associated with CVDs. The hazard ratio (HR) was 0.83 (95% confidence interval [CI]: 0.81, 0.84) for CVD, 0.83 (95% CI: 0.81, 0.84) for ischemic heart disease (IHD), 0.86 (95% CI: 0.83, 0.90) for stroke, 0.86 (95% CI: 0.82, 0.89) for myocardial infarction (MI), and 0.75 (95% CI: 0.72, 0.77) for heart failure (HF) per standard deviation increase in the metabolic signature. The metabolic signature accounted for 20% of the association between healthy lifestyle score and CVD. Moreover, MR showed a potential causal association between the metabolic signature and stroke.

conclusionsOur study revealed a potential link between a healthy lifestyle, metabolic signatures, and CVD. This connection suggests that identifying an individual's metabolic status and implementing lifestyle modifications may provide novel insights into the prevention of CVD.

Indexed as

Cardiovascular DiseasesHealthy LifestyleAdultAgedFemaleHumansMaleMendelian Randomization AnalysisMetabolomeMiddle AgedProportional Hazards ModelsRisk FactorsUnited KingdomCVDhealthy lifestyleMendelian randomizationmetabolic signature

Identifiers

PMID39458547
PMCPMC11510148

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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.