Sarcopenia, Grip Strength, Walking Pace, and New-Onset Stroke Risk: A UK Biobank Study

BACKGROUND: Novel stroke risk factors have received widespread attention. This study examined the association between sarcopenia status, grip strength, and walking pace with incident stroke (any stroke, ischemic stroke, and hemorrhagic stroke) and poststroke mortality. METHODS: This prospective study included 482 699 participants from the UK Biobank, a large-scale, population-based cohort. Sarcopenia status was assessed according to the EWGSOP2 criteria (European Working Group on Sarcopenia in Older People 2). Incident strokes were ascertained based on health records. Stroke risk was assessed using multivariable-adjusted Cox proportional hazards models, whereas poststroke mortality was compared using the Kaplan-Meier analysis with log-rank tests. A 2-sample Mendelian randomization analysis, utilizing genetic instruments from public genome-wide association studies, was conducted to infer causal associations. RESULTS: ]) and a slow walking pace (aHR, 1.64 [95% CI, 1.54-1.75]; compared with brisk pace). Mendelian randomization analysis demonstrated that a faster walking pace was associated with a lower risk of any stroke (odds ratio, 0.94 [95% CI, 0.90-0.97] per-SD increase) and ischemic stroke (odds ratio, 0.95 [95% CI, 0.91-0.98] per-SD increase). CONCLUSIONS: Sarcopenia status, lower grip strength, and slower walking pace were associated with an increased risk of incident stroke and all-cause poststroke mortality.

Authors

Institutions

Publication Details

Journal
Stroke
Published
2026-05-08
DOI
https://doi.org/10.1161/strokeaha.125.052311
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sarcopenia, Grip Strength, Walking Pace, and New-Onset Stroke Risk: A UK Biobank Study

Zien Zhou, Ke Yang, Bing Xiong, JIN Yu-Jia et al.
Stroke
Nutrition and Health in Aging
article

Sarcopenia, Grip Strength, Walking Pace, and New-Onset Stroke Risk: A UK Biobank Study

Zien Zhou, Ke Yang, Bing Xiong, JIN Yu-Jia, Qing Lin, Lusha Tong, Li-Li Tang, Yu-Hui Huang, Feng Gao, Changzheng Yuan
article en

Abstract

BACKGROUND: Novel stroke risk factors have received widespread attention. This study examined the association between sarcopenia status, grip strength, and walking pace with incident stroke (any stroke, ischemic stroke, and hemorrhagic stroke) and poststroke mortality. METHODS: This prospective study included 482 699 participants from the UK Biobank, a large-scale, population-based cohort. Sarcopenia status was assessed according to the EWGSOP2 criteria (European Working Group on Sarcopenia in Older People 2). Incident strokes were ascertained based on health records. Stroke risk was assessed using multivariable-adjusted Cox proportional hazards models, whereas poststroke mortality was compared using the Kaplan-Meier analysis with log-rank tests. A 2-sample Mendelian randomization analysis, utilizing genetic instruments from public genome-wide association studies, was conducted to infer causal associations. RESULTS: ]) and a slow walking pace (aHR, 1.64 [95% CI, 1.54-1.75]; compared with brisk pace). Mendelian randomization analysis demonstrated that a faster walking pace was associated with a lower risk of any stroke (odds ratio, 0.94 [95% CI, 0.90-0.97] per-SD increase) and ischemic stroke (odds ratio, 0.95 [95% CI, 0.91-0.98] per-SD increase). CONCLUSIONS: Sarcopenia status, lower grip strength, and slower walking pace were associated with an increased risk of incident stroke and all-cause poststroke mortality.

Stroke
Harvard University (US), Shanghai Jiao Tong University (CN), The George Institute for Global Health (AU), Taizhou First People's Hospital (CN), Second Affiliated Hospital of Zhejiang University (CN)
Good health and well-being
Openalex Percentile: Top 6%
Nutrition and Health in Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.