Evidence map›Paper›PMID 41931450›Full record

ArticleNeuroepidemiology2026

Associations between Body Composition Patterns, Brain Diseases and Injuries, and Risk of Epilepsy: A Prospective Cohort Study.

Qingya Zhao, Qi Liu, Yue Xu, Xiaogang Lv, Qianqian Ji, Ruoqing Chen, Dechao Tian, Yunzhang Wang, Xiaowei Xu, Yiqiang Zhan

Abstract read
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Article in Neuroepidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Qingya ZhaoDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Qi LiuDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Yue XuDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Xiaogang LvDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Qianqian JiDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Ruoqing ChenDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Dechao TianDepartment of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Yunzhang WangDepartment of Clinical Sciences, Karolinska Institutet, Stockholm, Sweden, yunzhang.wang@ki.se.
Xiaowei XuDepartment of Neurology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China, xuxw23@mail.sysu.edu.cn.
Yiqiang ZhanDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China, zhanyq8@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent body compositions may exert varying effects on epilepsy. We aimed to prospectively examine the associations between body composition and epilepsy risk while exploring the potential mediation of brain-related injuries.

methodsWe constructed a large-scale cohort study within the UK Biobank (UKB), deriving 7 body composition patterns via principal component analysis that captured variation in muscle strength, bone density, lean mass (LM), and fat distribution. Multivariable Cox proportional hazards models were employed to assess associations between these patterns, individual body measurements, and epilepsy risk. We performed stratified analyses by polygenic risk score (PRS) and mediation analyses to evaluate the indirect contributions of brain injuries.

resultsAmong the 475,960 participants, 3,026 epilepsy cases were identified over an average follow-up of 10.9 years. Patterns of "LM," "muscle strength," "bone density," and "leg-dominant fat distribution" were associated with reduced risk of epilepsy (hazard ratios [HRs]: 0.68-0.97), whereas "fat-to-LM," "central obesity," and "arm-dominant fat distribution" patterns were associated with increased incidence (HRs: 1.01-1.34). Similar trends were noted for corresponding individual body measurements. These associations were consistent across PRS strata. Falls, stroke, and neurodegenerative diseases mediated 17.9%, 27.2%, and 31.0% of effects for "muscle strength," "bone density," and "arm-dominant fat distribution," respectively.

conclusionsBody composition patterns involving muscle strength, bone density, and fat distribution show robust associations with epilepsy, partly mediated by neurological disorders. Optimizing body composition and preventing neurological insults may help reduce epilepsy risk in middle-aged and older adults.

Indexed as

Body compositionBody fat distributionEpilepsyMediation analysisPolygenetic risk score

Identifiers

PMID41931450
PMCPMC13048721

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