Physical activity levels may impact on the risk of premature mortality in people with epilepsy

Epilepsy affects over 70 million individuals worldwide, with optimal physical activity (PA) levels remaining challenging to determine due to potential negative outcomes from both insufficient and excessive activity. To quantify the associations between objective PA and mortality in people with epilepsy, we analyzed accelerometer data from 98,561 UK Biobank participants, including 1167 with epilepsy, to quantify associations between objectively measured PA and mortality. During a median follow-up of 7.1 years, people with epilepsy had significantly higher mortality rate (Standardized mortality ratio: 2.39, 1.97-2.86). Higher sedentary behavior duration was associated with lower all-cause mortality (hazard ratio: 0.87, 0.78-0.97). Dose-response analyses identified sedentary durations of 7-13 h/day (p nonlinear=0.025) and moderate-to-vigorous PA of 0.1-0.2 h/day (p nonlinear=0.005) were associated with lower mortality. An explainable machine-learning model that combined multi-dimensional PA with demographic and health information effectively stratified individual risk (Area Under the Receiver Operating Characteristic curve: 0.87 ± 0.08) and could support personalized activity guidance through a wearable system.

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Publication Details

Journal
Nature Communications
Published
2025-11-07
DOI
https://doi.org/10.1038/s41467-025-64805-0
Citations
3
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
4.41

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article

Physical activity levels may impact on the risk of premature mortality in people with epilepsy

Farah Qaderi, Tao Lin, Cairong Zhu, Junhan Zhao et al.
3 citations
Nature Communications
Epilepsy research and treatment
4.41
article

Physical activity levels may impact on the risk of premature mortality in people with epilepsy

Farah Qaderi, Tao Lin, Cairong Zhu, Junhan Zhao, Josemir W. A. S. Sander, Ying Nie, Sen Yang, Dong Chi Zhou, Xiyue Wang, Q. Y. Su, Zihua He, Shengyi Liu, Jinmei Li, Tong Yi, Lingjie Fan
article en
3 citations

Abstract

Epilepsy affects over 70 million individuals worldwide, with optimal physical activity (PA) levels remaining challenging to determine due to potential negative outcomes from both insufficient and excessive activity. To quantify the associations between objective PA and mortality in people with epilepsy, we analyzed accelerometer data from 98,561 UK Biobank participants, including 1167 with epilepsy, to quantify associations between objectively measured PA and mortality. During a median follow-up of 7.1 years, people with epilepsy had significantly higher mortality rate (Standardized mortality ratio: 2.39, 1.97-2.86). Higher sedentary behavior duration was associated with lower all-cause mortality (hazard ratio: 0.87, 0.78-0.97). Dose-response analyses identified sedentary durations of 7-13 h/day (p nonlinear=0.025) and moderate-to-vigorous PA of 0.1-0.2 h/day (p nonlinear=0.005) were associated with lower mortality. An explainable machine-learning model that combined multi-dimensional PA with demographic and health information effectively stratified individual risk (Area Under the Receiver Operating Characteristic curve: 0.87 ± 0.08) and could support personalized activity guidance through a wearable system.

Nature CommunicationsVol. 16(1)
Harvard University (US), Sichuan University (CN), West China Medical Center of Sichuan University (CN), University of Chicago (US), Massachusetts General Hospital (US), West China Hospital of Sichuan University (CN), Chengdu University (CN), National Hospital for Neurology and Neurosurgery (GB), University College London (GB)
National Institute for Health and Care Research, University College London, National Natural Science Foundation of China, Sichuan University, National Science and Technology Major Project, West China Hospital, Sichuan University
Openalex Percentile: Top 5%
Epilepsy research and treatment
4.41
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