Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Publications

Association of genetic liability for psychiatric disorders with accelerometer-assessed physical activity in the UK Biobank.

Dennison CA. et al, (2021), PLoS One, 16

Sedentary Behavior in Children by Wearable Cameras: Development of an Annotation Protocol.

Hänggi JM. et al, (2020), Am J Prev Med, 59, 880 - 886

Reallocating time from machine-learned sleep, sedentary behaviour or light physical activity to moderate-to-vigorous physical activity is associated with lower cardiovascular disease risk

Walmsley R. et al, (2020)

Impact of Reduced Sampling Rate on Accelerometer-based Physical Activity Monitoring and Machine Learning Activity Classification

Small S. et al, (2020)

The effects of an aerobic training intervention on cognition, grey matter volumes and white matter microstructure.

Sexton CE. et al, (2020), Physiol Behav, 223

Self-reported and objectively measured physical activity in people with and without chronic heart failure: UK Biobank analysis.

O'Donnell J. et al, (2020), Open Heart, 7

Testing Self-Report Time-Use Diaries against Objective Instruments in Real Time

Gershuny J. et al, (2019), Sociological Methodology

A cross-sectional study exploring levels of physical activity and motivators and barriers towards physical activity in haemodialysis patients to inform intervention development

DOHERTY A. and PUGH C., (2019), Disability and Rehabilitation

SEDENTARY BEHAVIOUR AND CHRONIC DISEASE: MECHANISMS AND FUTURE DIRECTIONS

DOHERTY A., (2019), Journal of Physical Activity and Health

Advancing the Use of Mobile Technologies in Clinical Trials: Recommendations from the Clinical Trials Transformation Initiative.

Coran P. et al, (2019), Digit Biomark, 3, 145 - 154

Physical activity of UK adults with chronic disease: cross sectional analysis of accelerometer measured physical activity in 96 706 UK Biobank participants.

Barker J. et al, (2019), Int J Epidemiol, 48

Response to: One size does not fit all-application of accelerometer thresholds in chronic disease.

Barker J. et al, (2019), Int J Epidemiol, 48

A validation study of the Eurostat harmonised European time use study (HETUS) diary using wearable technology.

Harms T. et al, (2019), BMC Public Health, 19

A Pilot Randomized Controlled Trial of a Digital Intervention Aimed at Improving Food Purchasing Behavior: The Front-of-Pack Food Labels Impact on Consumer Choice Study.

Harrington RA. et al, (2019), JMIR Form Res, 3

Physical activity of UK adults with chronic disease: cross-sectional analysis of accelerometer-measured physical activity in 96 706 UK Biobank participants.

Barker J. et al, (2019), Int J Epidemiol

GWAS identifies 14 loci for device-measured physical activity and sleep duration.

Doherty A. et al, (2018), Nat Commun, 9

Genome-Wide Association Study of Circadian Rhythmicity in 71,500 UK Biobank Participants and Polygenic Association with Mood Instability.

Ferguson A. et al, (2018), EBioMedicine, 35, 279 - 287

Association of Cardiovascular Risk Factors With MRI Indices of Cerebrovascular Structure and Function and White Matter Hyperintensities in Young Adults.

Williamson W. et al, (2018), JAMA, 320, 665 - 673

Wearable camera-derived microenvironments in relation to personal exposure to PM2.5.

Salmon M. et al, (2018), Environ Int, 117, 300 - 307

Genome-wide association study of circadian rhythmicity in 71 500 UK Biobank participants and polygenic association with mood instability

Ferguson A. et al, (2018)

Load More

1
2
3
4
5
6

Include forthcoming?