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Publications

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

Xia X. et al, (2024), Environ Int, 192

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), Journal of the American Heart Association

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

Yuan H. et al, (2024), NPJ digital medicine, 7

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

McGagh D. et al, (2024), The Lancet. Rheumatology

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), The international journal of behavioral nutrition and physical activity, 21

Device-Measured Physical Activity in 3506 Individuals with Knee or Hip Arthroplasty.

Small SR. et al, (2024), Medicine and science in sports and exercise, 56, 805 - 812

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 digital medicine, 7

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

Yuan H. et al, (2024), Journal of sleep research

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

Creagh AP. et al, (2024), NPJ digital medicine, 7

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

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

[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 = Zhonghua liuxingbingxue zazhi, 45, 35 - 40

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), Digital health, 10

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

Shreves AH. et al, (2023), medRxiv

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

Chan KH. et al, (2023), The Science of the total environment, 904

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

Chen Y. et al, (2023), The international journal of behavioral nutrition and physical activity, 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 (London, England), 402 Suppl 1

Brief bouts of device-measured intermittent lifestyle physical activity and its association with major adverse cardiovascular events and mortality in people who do not exercise: a prospective cohort study.

Ahmadi MN. et al, (2023), The Lancet. Public health, 8, e800 - e810

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