Evidence map›Paper›PMID 40337101›Full record

ArticleJournal of pain research2025

Inflammation Factors Mediate Association of Muscle Mass and Migraine: NHANES 1999-2004 and Mendelian Randomization.

Chunyan Jia, Hong Li, Shaonan Yang, Yue Liu, Lijun Liu, Aijun Ma, Liang Zhang

Abstract read
In one paragraph

Article in Journal of pain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Chunyan JiaDepartment of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, People's Republic of China.ORCID 0009-0009-0201-9980
Hong LiDepartment of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, People's Republic of China.
Shaonan YangDepartment of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, People's Republic of China.
Yue LiuDepartment of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, People's Republic of China.
Lijun LiuDepartment of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, People's Republic of China.
Aijun MaDepartment of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, People's Republic of China.ORCID 0000-0001-8083-7182
Liang ZhangDepartment of Neurology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The relationship between adipose-muscle distribution and its effect on migraine remains unclear. This study examines the association between muscle mass and migraine prevalence and evaluates potential mediation by systemic inflammatory biomarkers. Methods: Using a cross-sectional design, we analyzed data from 10,400 participants in the National Health and Nutrition Examination Survey (NHANES) (1999-2004). The association between appendicular lean mass normalized to body mass index (ALM/BMI) and migraine prevalence was evaluated through weighted logistic regression and subgroup analyses. Mediation analyses were conducted to examine the potential mediating roles of inflammatory markers, including C-reactive protein (CRP), white blood cell count (WBC), and neutrophils, in the relationship between ALM/BMI and migraine prevalence. Genetic causality was investigated via two-sample Mendelian randomization (MR) using genome-wide association study (GWAS) data. Results: 20% of total participants reported migraines. A higher ALM/BMI ratio was inversely associated with migraine after full adjustment (OR = 0.243; 95% CI: 0.122-0.487, Conclusion: Increased muscle mass is associated with reduced migraine risk, partially mediated by attenuating systemic inflammation. These findings provide us with an approach of health management to prevent migraines.

Indexed as

appendicular muscle massbasal metabolic rateinflammationMendelian randomizationmigrainenational health and nutrition examination survey

Identifiers

PMID40337101
PMCPMC12056526

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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.