Evidence map›Paper›PMID 40045250›Full record

ArticleBMC public health2025

Association between cardiometabolic index and biological ageing among adults: a population-based study.

Na Liu, Shanshan Peng, Kai Wei, Qiudan Chen, Xiaotong Chen, Leqi He, Biying Wu, Yong Lin

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Observational
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  7. Twelve weeks of voluntary wheel running restores glucagon sensitivity in middle-aged mice.American journal of physiology. Endocrinology and metabolism · 2026
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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

8 authors.

Na LiuDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Shanshan PengDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Kai WeiDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Qiudan ChenDepartment of Clinical Laboratory, Central Laboratory, Jing'an District Central Hospital of Shanghai, Fudan University, Shanghai, China.
Xiaotong ChenDepartment of Clinical Laboratory, Central Laboratory, Jing'an District Central Hospital of Shanghai, Fudan University, Shanghai, China.
Leqi HeDepartment of Clinical Laboratory Medicine, Fifth People's Hospital of Shanghai Fudan University, Shanghai, China.
Biying WuDepartment of Clinical Laboratory Medicine, Fifth People's Hospital of Shanghai Fudan University, Shanghai, China.
Yong LinDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China. linyong7007@163.com.

Funding

National Key Research and Development Program of China 2018YFC2000200
6 · The paper itself

Abstract

backgroundCardiovascular health (CVH) is closely associated with ageing. This study aimed to investigate the association between cardiometabolic index (CMI), a novel indicator of cardiometabolic status, and biological ageing.

methodsCross-sectional data were obtained from participants with comprehensive CMI and biological age data in the National Health and Nutrition Examination Survey from 2011 to 2018. Biological age acceleration (BioAgeAccel) is calculated as the differences between biological age and chronological age, and that biological age is derived from a model incorporating eight biomarkers. Weighted multivariable regression, sensitivity analysis, and smoothing curve fitting were performed to explore the independent association between CMI and the acceleration of biological age. Subgroup and interaction analyses were performed to investigate whether this association was consistent across populations.

resultsIn 4282 subjects ≥ 20 years of age, there was a positive relationship between CMI and biological age. The BioAgeAccel increased 1.16 years for each unit CMI increase [1.16 (1.02, 1.31)], and increased 0.99 years for per SD increase in CMI [0.99 (0.87, 1.11)]. Participants in the highest CMI quartile had a BioAgeAccel that was 2.49 years higher than participants in the lowest CMI quartile [2.49 (2.15, 2.83)]. In stratified studies, the positive correlation between CMI and biological age acceleration was not consistent across strata. This positive correlation was stronger in female, diabetes, and non-hypertension populations.

conclusionsCMI is positively correlated with biological ageing in adults in the United States. Prospective studies with larger sample sizes are required to validate our findings.

Indexed as

AgingCardiometabolic Risk FactorsCardiovascular DiseasesAdultAgedBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesYoung AdultBiomarkersBiological ageingCardiometabolic indexNHANES

Identifiers

PMID40045250
PMCPMC11884083

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.