Evidence map›Paper›PMID 39160093›Full record

ArticleStroke and vascular neurology2025

Obesity and brain volumes: mediation by cardiometabolic and inflammatory measures.

Qi Zhou, Wanlin Zhu, Xueli Cai, Jing Jing, Mengxing Wang, Suying Wang, Aoming Jin, Xia Meng, Tiemin Wei, Yongjun Wang and 1 more

Abstract read
In one paragraph

Article in Stroke and vascular neurology, 2025. 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

11 authors.

Qi Zhou *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wanlin Zhu *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xueli CaiDepartment of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China.
Jing JingDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-9822-5758
Mengxing WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-4245-4014
Suying WangCerebrovascular Research Lab, Lishui Hospital, Zhejiang University School of Medicine, Lishui, Zhejiang, China.
Aoming JinDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-7221-5444
Xia MengDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Tiemin WeiDepartment of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, Zhejiang, China.
Yongjun WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-9976-2341
Yuesong PanDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China yuesongpan@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate the relationship between overall obesity, central obesity and brain volumes, as well as to determine the extent to which cardiometabolic and inflammatory measures act as mediators in the association between body mass index (BMI), waist-hip ratio (WHR) and brain volumes.

methodsIn the context of counterfactual framework, mediation analysis was used to explore the potential mediation in which cardiometabolic and inflammatory measures may mediate the relationship between BMI, WHR, and brain volumes.

resultsAmong 2413 community-dwelling participants, those with high BMI or WHR levels experienced an approximately brain ageing of 4 years. Especially, individuals with high WHR or BMI under the age of 65 exhibited white matter hyperintensity volume (WMHV) differences equivalent to around 5 years of ageing. Conversely, in the high-level WHR population over the age of 65, premature brain ageing in gray matter volume (GMV) exceeded 4.5 years. For GMV, more than 45% of the observed effect of WHR was mediated by glycaemic metabolism indicators. This proportion increases to 78.70% when blood pressure, triglyceride, leucocyte count, and neutrophil count are jointly considered with glycaemic metabolism indicators. Regarding WHR and BMI's association with WMHV, cardiometabolic and inflammatory indicators, along with high-density lipoprotein cholesterol, mediated 35.50% and 20.20% of the respective effects.

conclusionsOverall obesity and central obesity were associated with lower GMV and higher WMHV, a process that is partially mediated by the presence of cardiometabolic and inflammatory measures.

Indexed as

BrainInflammation MediatorsObesity, AbdominalAgedAged, 80 and overAge FactorsBiomarkersBlood GlucoseBody Mass IndexCardiometabolic Risk FactorsFemaleHumansMagnetic Resonance ImagingMaleMediation AnalysisMiddle AgedBiomarkersBlood GlucoseInflammation MediatorsBrainInflammation

Identifiers

PMID39160093
PMCPMC12107439

What Socratic holds

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LicenceCC BY-NC
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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.