Evidence map›Paper›PMID 42517331›Full record

ArticleBrain and behavior2026

Association Between a Body Shape Index and Epilepsy Among US Adults: Potential Indirect Pathway Through Depressive Symptoms.

Qiaoduan Feng, Xiujuan Mi, Hongbin Tang, Shaokun Yang, Can Wan, Jinsong You, Jun Tang

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Article in Brain and behavior, 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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5 · Who and what money

Authors and funding

7 authors.

Qiaoduan FengDepartment of Encephalopathy, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Xiujuan MiDepartment of Encephalopathy, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Hongbin TangThe Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, China.
Shaokun YangDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Can WanDepartment of Cerebrovascular Disease, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Jinsong YouDepartment of Cerebrovascular Disease, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0001-8284-8942
Jun TangDepartment of Encephalopathy, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.ORCID https://orcid.org/0009-0002-4888-7790

Funding

Chongqing Bayu Qihuang Scholars Support Project Chongqing-Traditional-Chinese-Medicine-No.23(2023)Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission cstc2019jcyj-msxmX0688
6 · The paper itself

Abstract

backgroundEpilepsy is a common and disabling brain disorder. Whether a body shape index (ABSI) is associated with epilepsy, and whether depressive symptoms may partly account for this association, remain unclear.

methodsWe analyzed 13,066 participants from the National Health and Nutrition Examination Survey 2013-2018. ABSI was calculated from waist circumference, weight, and height. Epilepsy was identified using prescription medication reason code G40 within the past 30 days. Depressive symptoms were assessed using Patient Health Questionnaire 9. Multivariate logistic regression was used to evaluate associations among ABSI, depressive symptoms, and epilepsy. Restricted cubic splines (RCSs) were applied to examine potential nonlinearity. An exploratory mediation analysis was performed to examine whether depressive symptoms may partly account for the observed association between ABSI and epilepsy.

resultsIn the multivariate logistic regression analyses, higher ABSI was significantly associated with increased odds of both epilepsy (odds ratio [OR], 1.39; 95% confidence interval [CI], 1.12-1.71) and depressive symptoms (OR, 1.16; 95% CI, 1.08-1.24). Additionally, a positive association was also identified between depressive symptoms and epilepsy (OR, 2.28; 95% CI, 1.41-3.69). RCS analysis revealed that the associations between ABSI and both epilepsy and depressive symptoms were linear (both p for nonlinearity > 0.05). The exploratory mediation analysis indicated that depressive symptoms may partly account for the association between ABSI and epilepsy, accounting for 10.8% of the overall association.

conclusionsHigher ABSI was associated with a higher prevalence of epilepsy, and depressive symptoms may partly account for this relationship. These findings highlight the potential importance of integrating body composition and mental health perspectives in epilepsy epidemiology and may inform future prospective studies on modifiable metabolic and psychological factors.

Indexed as

DepressionEpilepsyAdultFemaleHumansMaleMiddle AgedNutrition SurveysUnited Statesa body shape indexdepressive symptomsepilepsymediation analysis

Identifiers

PMID42517331
PMCPMC13410275

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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 Socratic graph.