ArticleBMC neurology2021
Cerebral small vessel disease, cardiovascular risk factors, and future walking speed in old age: a population-based cohort study.
Article in BMC neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.
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Who cites it
9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Global ethnic disparities in cerebral small vessel disease imaging markers and vascular risk factors: a systematic review and meta-analysis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Pooled it
- Gait and falls in cerebral small vessel disease: a systematic review and meta-analysis.Age and ageing · 2023Pooled it
- White matter hyperintensities volume and cognition: A meta-analysis.Frontiers in aging neuroscience · 2022Pooled it
- Associations between enlarged perivascular spaces and clinical manifestations: a meta-analysis.Archives of medical science : AMS · 2026Review
- Assessment of Gait Disorders in Cerebral Small Vessel Disease: Advantages of Different Clinical Scales.Journal of clinical medicine · 2025Article
- Exploring the effects of ROS on PI3K/AKT/mTOR signalling in pediatric low-grade glioma and therapeutic strategies.Molecular biology reports · 2025Review
- The Relationship Between Brain Frailty and Physical Function in Patients With Stroke Undergoing Rehabilitation.Cureus · 2025Article
- Neuroimaging Correlates of 3 Distinct Physical-Cognitive Phenotypes in Cognitively Normal Older Adults: The Gothenburg H70 Cohort Study.Neurology · 2025Article
- The correlation analysis between preoperative cerebral small vessel disease and carotid plaque echo characteristics.Frontiers in neurology · 2025Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose of this study was to examine the associations between combined and individual cerebral small vessel disease (cSVD) markers on future walking speed over 9 years; and to explore whether these associations varied by the presence of cardiovascular risk factors (CRFs).
methodsThis population-based cohort study included 331 adults, aged ≥60 years, without limitation in walking speed (≥0.8 m/s). At baseline, cSVD markers, including white matter hyperintensities (WMH), lacunes, and perivascular spaces (PVS), were assessed on magnetic resonance imaging. The modifiable CRFs (physical inactivity, heavy alcohol consumption, smoking, hypertension, high total cholesterol, diabetes, and overweight/obese) were combined into a score. The association between baseline cSVD markers and the decline in walking speed was examined using linear mixed-effects models, whereas Cox proportional hazards models were used to estimate the association with walking speed limitation (defined as < 0.8 m/s) over the follow-up.
resultsOver the follow-up period, 76 (23.0%) persons developed walking speed limitation. Participants in the highest tertile of the combined cSVD marker score had a hazard ratio (HR) of 3.78 (95% confidence interval [CI] 1.70-8.45) for walking speed limitation compared with people in the lowest score tertile, even after adjusting for socio-demographics, CRFs, cognitive function, and chronic conditions. When investigating the cSVD markers individually, having the highest burden of WMH was associated with a significantly faster decline in walking speed (β coefficient - 0.020; 95% CI -0.035-0.004) and a greater HR of walking speed limitation (HR 2.78; 95% CI 1.31-5.89) compared with having the lowest WMH burden. Similar results were obtained for the highest tertile of PVS (HR 2.13; 95% CI 1.04-4.36). Lacunes were associated with walking speed limitation, but only in men. Having ≥4 CRFs and high WMH volume simultaneously, showed a greater risk of walking speed limitation compared with having ≥4 CRFs and low WMH burden. CRFs did not modify the associations between lacunes or PVS and walking speed.
conclusionsCombined cSVD markers strongly predict walking speed limitation in healthy older adults, independent of cognitive function, with WMH and PVS being the strongest contributors. Improving cardiovascular health may help to mitigate the negative effects of WMH on future walking speed.
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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.