Research Project

Lloyd Chan
Current Appointments
Research Fellow (Conjoint)Key Research Areas
Dr Chan PhD, MACP, Physio is a lecturer at the University of New South Wales and a conjoint research fellow at Neuroscience Research Australia. He holds a Doctor of Philosophy degree from UNSW, a Master's in Epidemiology and Biostatistics with Salutatorian honours from CUHK, and a Bachelor's degree in Physiotherapy with honours from PolyU. In addition to his academic work, Lloyd has extensive experience as a physiotherapist, providing care to stroke survivors and people with Parkinson's disease across acute hospitals, rehabilitation centres, and outreach settings.
His research focuses on two key areas: quantifying daily-life walking speed and quality, and predicting diseases using smartwatches. The resultant innovations have been adopted by fellow researchers and translated into actual clinical practices. Currently, he is working on sensor-based gait abnormality detection in various clinical populations, including people with Parkinson's disease, stroke survivors and those with proximal femoral fractures.
Publications
2025, 04 Aug
The Prevalence and Incidence of Fencing Injuries and Associated Risk Factors: A Systematic Review and Meta-Analysis
View full journal-article on https://doi.org/10.1097/JSM.0000000000001386
2025, 01 Aug
Frailty assessed by a wrist-worn device can predict hospitalisation and mortality in middle-aged and older adults: a UK Biobank study
View full journal-article on https://doi.org/10.1093/ageing/afaf210
2025, 01 Jun
Daily-life walking speed, running duration and bedtime from wrist-worn sensors predict incident dementia: A watch walk – UK biobank study
View full journal-article on https://app.dimensions.ai/details/publication/pub.1184167806
2025, 30 May
First-Day Mobilization Opportunity After Hip Fracture Surgery Reduces In-Hospital Complications: A Population Data Linkage Study.”. Platform presentation at the World Physiotherapy Congress 2025.
2025, 30 May
Watch Walk Platform: A Fee-Waived Software for Analyzing Wrist-Worn Sensor Data to Measure Real-World Gait Speed, Quality and Step Counts.
2025, 29 May
Real-world Walking Speed, Quality, Distribution, and Step Count: Which is the Strongest Predictor of Cardiovascular Death?
2025 Apr
The effect of pain on gait in older people: A systematic review and meta-analysis
View full journal-article on https://doi.org/10.1016/j.jpain.2024.104758
2025, 01 Jan
Cognitive functioning and falls in older people: A systematic review and meta-analysis
View full journal-article on https://app.dimensions.ai/details/publication/pub.1175736019
2024, 01 Oct
A Wrist-Worn Wearable Device Can Identify Frailty in Middle-Aged and Older Adults: The UK Biobank Study
View full journal-article on https://app.dimensions.ai/details/publication/pub.1174585619
2024, 01 Aug
Daily-Life Walking Speed, Quality and Quantity Derived from a Wrist Motion Sensor: Large-Scale Normative Data for Middle-Aged and Older Adults
View full journal-article on https://app.dimensions.ai/details/publication/pub.1174713840