Publications
1,589 peer-reviewed studies and conference papers whose research used an Axivity accelerometer.
2024
- Association between wrist-worn free-living accelerometry and hand grip strength in middle-aged and older adults (opens in new tab)
- Association between “weekend warrior” physical activity and the incidence of neurodegenerative diseases (opens in new tab)
- Association of physical activity pattern and risk of Parkinson’s disease (opens in new tab)
- Association of Rest-Activity Rhythm and Risk of Developing Dementia or Mild Cognitive Impairment in the Middle-Aged and Older Population: Prospective Cohort Study. (opens in new tab)
- Associations between accelerometer‐derived sedentary behavior and physical activity with white matter hyperintensities in middle‐aged to older adults (opens in new tab)
- Associations between accelerometer‐measured circadian rest‐activity rhythm, brain structural and genetic mechanisms, and dementia (opens in new tab)
- Associations between Aircraft Noise, Sleep, and Sleep–Wake Cycle: Actimetric Data from the UK Biobank Cohort near Four Major Airports (opens in new tab)
- Associations between number and type of conditions and physical activity levels in adults with multimorbidity - a cross-sectional study from the Danish Lolland-Falster health study (opens in new tab)
- Associations of accelerometer-measured physical activity, sedentary behaviour, and sleep with next-day cognitive performance in older adults: a micro-longitudinal study (opens in new tab)
- Associations of adiposity and device-measured physical activity with cancer incidence: UK Biobank prospective cohort study (opens in new tab)
- Associations of habitual sedentary time with executive functioning and short-term memory in 7th and 8th grade adolescents (opens in new tab)
- Associations of Rest‐Activity Rhythm Disturbances With Stroke Risk and Poststroke Adverse Outcomes (opens in new tab)
- Associations of steps per day and step intensity with the risk of cancer: Findings from the Women's Health Accelerometry Collaboration cohort (opens in new tab)
- Associations of “Weekend Warrior” Physical Activity With Incident Disease and Cardiometabolic Health (opens in new tab)
- Awake prone positioning effectiveness in moderate to severe COVID-19 a randomized controlled trial (opens in new tab)
- Bayesian Regression Analysis for Dependent Data with an Elliptical Shape. (opens in new tab)
- Brighter nights and darker days predict higher mortality risk: A prospective analysis of personal light exposure in >88,000 individuals (opens in new tab)
- CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition (opens in new tab)
- Case report: A novel transcutaneous electrical nerve stimulation improves dysesthesias and motor behaviors after transverse myelitis. (opens in new tab)
- Causal association of physical activity with lymphoma risk: a Mendelian randomization analysis (opens in new tab)
- Causal Associations Between Sleep Traits and Delirium: A Bidirectional Two-Sample Mendelian Randomization Study. (opens in new tab)
- Causal Associations with Arterial Stiffness and Sarcopenia: A Mendelian Randomization Analysis (opens in new tab)
- Causal inference between physical activity and chronic diseases: Insights from a two-sample Mendelian randomization study (opens in new tab)
- Causal Relationship Between Physical Activity and Thymic Tumors Mediated by Circulating Cytokines: A Mendelian Randomization Mediation Analysis (opens in new tab)
Characterising walking behaviours in aged residential care using accelerometery: a cross-sectional comparison of care level, cognitive status and physical function
- Characterizing Walking Behaviors in Aged Residential Care Using Accelerometry, With Comparison Across Care Levels, Cognitive Status, and Physical Function: Cross-Sectional Study (opens in new tab)
- Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan (opens in new tab)
- Classification of Behaviour in Conventional and Slow-Growing Strains of Broiler Chickens Using Tri-Axial Accelerometers (opens in new tab)
- Clinical and cost-effectiveness of DREAMS START (Dementia RElAted Manual for Sleep; STrAtegies for RelaTives) for people living with dementia and their carers: a study protocol for a parallel multicentre randomised controlled trial (opens in new tab)
- Cognitive training and promoting a healthy lifestyle for individuals with isolated REM sleep behavior disorder: study protocol of the delayed-start randomized controlled trial CogTrAiL-RBD (opens in new tab)
- Cohort Profile Update: The Young-HUNT Study, Norway. (opens in new tab)
- Comparing Cadence vs. Machine Learning‐Based Physical Activity Intensity Classifications: Variations in the Associations of Physical Activity with Mortality (opens in new tab)
- Comparison of stepping-based metrics from ActiGraph accelerometers worn concurrently on the non-dominant wrist and waist among young adults (opens in new tab)
- Comparison of two tri-axial accelerometers for measuring locomotor activity in ewes and lambs (opens in new tab)
- Composite activity type and stride-specific energy expenditure estimation model for thigh-worn accelerometry (opens in new tab)
- Contrast All the Time: Learning Time Series Representation from Temporal Consistency (opens in new tab)
- Cross-sectional associations between 24-hour time-use composition, grey matter volume and cognitive function in healthy older adults. (opens in new tab)
- Daily physical activity and prognostic implications in patients with heart failure: an accelerometer study (opens in new tab)
- Daily physical activity in older adults across levels of care: the HUNT Trondheim 70 + study (opens in new tab)
- Daily-Life Walking Speed, Quality and Quantity Derived from a Wrist Motion Sensor: Large-Scale Normative Data for Middle-Aged and Older Adults (opens in new tab)
- Daytime napping and the incidence of Parkinson’s disease: a prospective cohort study with Mendelian randomization (opens in new tab)
- DeskEmo, A Multi-platform Desktop Software for Remote Control and Monitoring of Hematological Parameters (opens in new tab)
- Development of a digital tool for monitoring the behaviour of pre-weaned calves using accelerometer neck-collars (opens in new tab)
- Development of machine learning-based algorithms for classifying physical activity intensity using wrist and thigh worn wearables (opens in new tab)
- Device-measured sedentary time and intensity-specific physical activity in relation to all-cause and cardiovascular disease mortality: the UK Biobank cohort study (opens in new tab)
- Device-measured stationary behaviour and cardiovascular and orthostatic circulatory disease incidence (opens in new tab)
- Device-measured stationary behaviour and cardiovascular and orthostatic circulatory disease incidence: a population cohort study of 83,013 adults (opens in new tab)
- Diet, physical activity, and sleep in relation to postprandial glucose responses under free-living conditions: an intensive longitudinal observational study (opens in new tab)
- Digital biomarkers for precision diagnosis and monitoring in Parkinson’s disease (opens in new tab)
- Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. (opens in new tab)
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