A large-scale prospective investigation into how physical fitness shapes dementia risk — combining epidemiology, proteomics, neuroimaging, and machine learning.
Dementia affects over 55 million people worldwide and lacks disease-modifying treatments. Identifying modifiable risk factors is critical for prevention.
Physical fitness — encompassing musculoskeletal strength, cardiorespiratory capacity, and pulmonary function — represents a potentially modifiable exposure that may protect against cognitive decline.
This study leverages the UK Biobank, one of the world's largest prospective cohort studies, to comprehensively investigate these relationships and the biological mechanisms involved.
UK Biobank is a large-scale biomedical database and research resource containing in-depth genetic, lifestyle, and health information from half a million UK participants. Data collection took place between 2006–2010.
Data used in this study are available to approved researchers through the UK Biobank Access Management System. This website presents summary results only; individual-level data are not shared.
An international collaboration across Singapore, China, and beyond.
| Overall Design & Supervision | ||
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YZ
National University of Singapore |
LB
SIMIS |
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| Association Analysis | ||
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LR Lin Runyu NUS |
SY Sun Yiqing NUS |
PF Pan Feiyue SIMIS / Fudan |
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QJ Qin Jiayue NUS |
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| Mechanism Research | ||
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LR Lin Runyu NUS |
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| Predictor Modeling | ||
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SY Sun Yiqing NUS |
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The risk calculator provides estimates for research purposes only and is not a substitute for professional medical advice, diagnosis, or treatment.
All calculator computations are performed locally in your browser. No personal health information is transmitted to or stored on any server.
The model was trained on UK Biobank participants aged 40–70. Results may not generalise to other populations or age groups.