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Publications

Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease

Walmsley R. et al, (2021), British Journal of Sports Medicine

Physical activity in relation to circulating hormone concentrations in 117,200 men in UK Biobank

Watts E. et al, (2021), Cancer Causes and Control

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

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

Accelerometer measured physical activity and the incidence of cardiovascular disease: Evidence from the UK Biobank cohort study

RAMAKRISHNAN R. et al, (2020), PLoS Medicine

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)

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

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

Accelerometer-measured physical activity and functional behaviours among people on dialysis

Nawab K. et al, (2020), Clinical Kidney Journal

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

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

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

RAHIMI K. et al, (2019), Open Heart

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

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

Barker J. et al, (2019), International journal of epidemiology

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), International journal of epidemiology, 48, 1386 - 1386

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, 455 - 455

A pilot randomised controlled trial of a digital intervention aimed at improving food purchasing behaviour: the Front of pack Labels Impact on Consumer Choice (FLICC) study

JUSZCZAK EDMUND., (2019), Journal of Medical Internet Research

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, (2018), International Journal of Epidemiology

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

DOHERTY AIDEN. et al, (2018), Nature Communications

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

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