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Publications

Optimal Instruments for Measurement of Dietary Intake, Physical Activity, and Sleep Among Adults in Population-Based Studies: Report of a National Heart, Lung, and Blood Institute Workshop.

Anaya G. et al, (2024), J Am Heart Assoc

Modelling personal temperature exposure using household and outdoor temperature and questionnaire data: implications for epidemiological studies

CHEN Z. et al, (2024), Environment International

Digital health technologies to strengthen patient-centred outcome assessment in clinical trials in inflammatory arthritis.

McGagh D. et al, (2024), Lancet Rheumatol

Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality.

Yuan H. et al, (2024), NPJ Digit Med, 7

Association of daily steps with incident non-alcoholic fatty liver disease: Evidence from the UK Biobank cohort

Fulda ES. et al, (2024)

Correction: Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants.

Chen Y. et al, (2024), Int J Behav Nutr Phys Act, 21

Self-Supervised Machine Learning to Characterise Step Counts from Wrist-Worn Accelerometers in the UK Biobank.

Small SR. et al, (2024), Medicine and science in sports and exercise

Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.

Yuan H. et al, (2024), NPJ Digit Med, 7

A systematic review of the performance of actigraphy in measuring sleep stages.

Yuan H. et al, (2024), J Sleep Res

Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis.

Creagh AP. et al, (2024), NPJ Digit Med, 7

[Progress and practice of objective measurement of physical behaviors in large-scale cohort research].

Chen YY. et al, (2024), Zhonghua Liu Xing Bing Xue Za Zhi, 45, 35 - 40

Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Yuan H. et al, (2024), npj Digital Medicine

Daily steps are a predictor of, but perhaps not a modifiable risk factor for Parkinson’s Disease: findings from the UK Biobank

Acquah A. et al, (2024)

Feasibility and usability of remote monitoring in Alzheimer's disease.

Muurling M. et al, (2024), Digit Health, 10

Characterising personal, household, and community PM2.5 exposure in one urban and two rural communities in China.

Chan KH. et al, (2023), Sci Total Environ, 904

Amount and intensity of physical activity and risk of incident cancer in the UK Biobank.

Shreves AH. et al, (2023), medRxiv

Device-Measured Physical Activity in 3,506 Individuals with Knee or Hip Arthroplasty.

Small SR. et al, (2023), Medicine and science in sports and exercise

Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants.

Chen Y. et al, (2023), Int J Behav Nutr Phys Act, 20

Dose-response of accelerometer-measured physical activity, step count, and cancer risk in the UK Biobank: a prospective cohort analysis.

Shreves AH. et al, (2023), Lancet, 402 Suppl 1

Prognostic Significance of Different Ventricular Ectopic Burdens During Submaximal Exercise in Asymptomatic UK Biobank Subjects.

van Duijvenboden S. et al, (2023), Circulation

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