Ben Maylor
Post doctoral researcher
Ben is a researcher at Oxford Population Health and the Big Data Institute at the University of Oxford, working with Aiden Doherty.
His research focuses on generating meaningful information from wearable devices such as wrist and thigh accelerometers to better understand the role of 24 hour movement behaviours the prevention and management of chronic diseases.
Prior to joining Oxford in 2024, Ben was a postdoctoral researcher at the University of Leicester for six years where I worked on developing methods for describing physical behaviours using data from wearable accelerometers and assessing the effectiveness of a large multicomponent intervention in reducing daily sitting in office workers.
Recent publications
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Predictive performance of wearable sensors for mortality risk in older adults: a model development and validation study
Preprint
Harper C. et al, (2025)
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Quantifying the relative intensity of free-living physical activity: differences across age, association with mortality and clinical interpretation-an observational study.
Journal article
Rowlands AV. et al, (2025), Br J Sports Med
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Research-Grade Accelerometers to Assess Intervention Effectiveness and Commercial Wearables as a Self-Monitoring Tool: Are the Two Aligned on Moderate to Vigorous Physical Activity?
Journal article
Maylor BD. et al, (2024), Journal for the Measurement of Physical Behaviour, 7
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The Effect of Vehicle Motion (Cab Vibration) on Accelerometer Cut-Point Determined Moderate-to-Vigorous Physical Activity in Heavy Goods Vehicle Drivers
Journal article
Sayyah M. et al, (2024), Journal for the Measurement of Physical Behaviour, 7
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Time in Bed Comparisons Between Two Automated Algorithms Applied to activPAL Data and Observations in a Polysomnography Lab
Journal article
Plekhanova T. et al, (2024), Journal for the Measurement of Physical Behaviour, 7