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Articles by Aiden Doherty
11 million days of longitudinal Fitbit data reveal novel future health insights
Abstract Wearable devices offer a scalable, objective measurement of physical activity, but most studies reduce these data to a single metric over 7-days. Here, we compare wearable-derived phenotyping approaches to understand their impact on activity-disease associations, analyzing 11 million days of Fitbit data from 29,303 All of Us Research Program participants.
ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learning
Abstract The use of accurate and reliable open-source human activity recognition (HAR) models on passively collected wrist-accelerometer data is essential in large-scale epidemiological studies that investigate the association between physical activity and health outcomes.
Author Correction: UK Biobank at 20 — a growing, global resource for dementia research
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Correction to: Nature Reviews Neurology https://doi.org/10.1038/s41582-026-01200-3, published online 14 April 2026. In the version of the article initially published, the surname of Anastasia Ilina appeared incorrectly (as Illina) and has now been amended in the HTML and PDF versions of the article. About this article Matthews, P.M., Allen, N.E., Debette, S. et al. Author Correction: UK Biobank at 20 — a growing, global resource for dementia research. Nat Rev Neurol (2026).
By Paul Matthews, Naomi E Allen, Stéphanie Debette, Aiden Doherty, Gwenaëlle Douaud, Eugene P. Duff, Paul Elliott, Evelynne S Fulda, Anastasia Ilina, Quentin Le Grand, Adam J. Lewandowski, Rebecca Mahoney Verified, Karla Miller, cecilia rodriguez, Martin K Rutter, Cynthia Sandor, Rebecca Sims, Stephen Smith, Chaoyue Wang
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Nature
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UK Biobank at 20 — a growing, global resource for dementia research
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Abstract UK Biobank is the world’s most comprehensive longitudinal population-based data and biosample resource. Twenty years after UK Biobank was first established, the incidence of dementia among participants is rising and is set to increase rapidly over the next 5–10 years, creating a distinct opportunity for studies of dementia risk and onset.
By Paul Matthews, Naomi E Allen, Stéphanie Debette, Aiden Doherty, Gwenaëlle Douaud, Eugene P. Duff, Paul Elliott, Evelynne S Fulda, Quentin Le Grand, Adam J. Lewandowski, Rebecca Mahoney Verified, Karla Miller, cecilia rodriguez, Martin K Rutter, Cynthia Sandor, Rebecca Sims, Stephen Smith, Chaoyue Wang, Anastasia Illina
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Nature
Verified
Genetic architecture of sleep in a genome wide association study of device measured sleep traits
Abstract Sleep is essential for health and regulated by genetic and environmental factors. We perform genome-wide association studies of device-measured sleep duration, efficiency, and accelerometer-derived rapid eye movement (REM) and non-rapid eye movement (NREM) sleep in 80,013 UK Biobank participants. We identify 20 autosomal loci, 12 of which have not been previously reported, including genome-wide significant associations for REM and NREM sleep duration.
JMIR Research Protocols - Generation of a Free-Living Ground-Truth Validation Dataset for Wearable Measures of Physical Activity, Sedentary Behavior, Sleep, and Heart Rate in Adults (OxWEARS): Protocol for a Cross-Sectional Study
To validate the measurement of physical activity and sedentary behavior from accelerometers worn on the wrist, chest, waist, hip, thigh, and ankle compared with ground-truth annotations from wearable camera data. To validate the measurement of sleep and sleep staging from accelerometers worn on the wrist, chest, waist, hip, and thigh compared with gold standard polysomnography (PSG) sleep metrics.
A systematic review of the performance of actigraphy in measuring sleep stages
1 INTRODUCTION Actigraphy has long been used to measure sleep–wake patterns in clinical and daily living environments. The broad adoption of actigraphy is driven by its relatively low cost, minimal user burden, and ease of continuous recordings over weeks (Sadeh, 2011).
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis - npj Digital Medicine
Abstract Digital measures of health status captured during daily life could greatly augment current in-clinic assessments for rheumatoid arthritis (RA), to enable better assessment of disease progression and impact.
Potential impact of wearables on physical activity guidelines and interventions: opportunities and challenges
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Potential impact of wearables on physical activity guidelines and interventions: opportunities and challenges
Potential impact of wearables on physical activity guidelines and interventions: opportunities and challenges Free Statistics from Altmetric.com Request Permissions If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
Association of wearable device-measured vigorous intermittent lifestyle physical activity with mortality
Abstract Wearable devices can capture unexplored movement patterns such as brief bursts of vigorous intermittent lifestyle physical activity (VILPA) that is embedded into everyday life, rather than being done as leisure time exercise. Here, we examined the association of VILPA with all-cause, cardiovascular disease (CVD) and cancer mortality in 25,241 nonexercisers (mean age 61.8 years, 14,178 women/11,063 men) in the UK Biobank.
Correction: Accelerometer measured physical activity and the incidence of cardiovascular disease: Evidence from the UK Biobank cohort study
In subsequent data analyses associated with this article, the authors became aware of a coding error due to which there was an underadjustment for age. As such the following corrections are required. In the Methods and findings subsection of the Abstract the fifth sentence is incorrect.
Accelerometer measured physical activity and the incidence of cardiovascular disease: Evidence from the UK Biobank cohort study
Loading metrics Open Access Peer-reviewed Research Article Rema Ramakrishnan, Aiden Doherty, Karl Smith-Byrne, Kazem Rahimi, Derrick Bennett, Mark Woodward, Rosemary Walmsley, Terence Dwyer Rema Ramakrishnan, Aiden Doherty, Karl Smith-Byrne, Kazem Rahimi, Derrick Bennett, Mark Woodward, Rosemary Walmsley, Terence Dwyer Published: January 12, 2021 https://doi.org/10.1371/journal.pmed.1003487 Figures Abstract Background Higher levels of physical activity (PA) are associated with a lower risk of...
GWAS identifies 14 loci for device-measured physical activity and sleep duration
Participants Study participants were from the UK Biobank13 where a subset of 103,712 participants agreed to wear a wrist-worn accelerometer for a 7-day-period between 2013 and 20159. Participants who were slightly more likely to consent included: women, those aged 55–74 years, those with higher socio-economic status, better physical health status, and less time since the baseline assessment (all odds ratios < 1.1).
Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study
Loading metrics Open Access Peer-reviewed Research Article Aiden Doherty , Dan Jackson, Nils Hammerla, Thomas Plötz, Patrick Olivier, Malcolm H. Granat, Tom White, Vincent T. van Hees, Michael I. Trenell, Christoper G. Owen, Stephen J. Preece, Rob Gillions, Simon Sheard, Tim Peakman, Soren Brage , [ ... ], Nicholas J. Wareham [ view all ] [ view less ] Aiden Doherty, Dan Jackson, Nils Hammerla, Thomas Plötz, Patrick Olivier, Malcolm H. Granat, Tom White, Vincent T. van Hees, Michael I.
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