Publications
1,589 peer-reviewed studies and conference papers whose research used an Axivity accelerometer.
2026
- From wrist data to lifespan: elucidating inflammation-driven biological aging via activity rhythms captured by wearable devices (opens in new tab)
- Functional mobility profiles in pre-operative knee osteoarthritis patients: A cluster analysis of self-report, in-clinic, and free-living measures (opens in new tab)
- Gait-Related Digital Mobility Outcomes in Parkinson's Disease: New Insights into Convergent Validity? (opens in new tab)
Generalizable framework of eating episode detection on free-living wrist-worn wearable data
- High-intensity exercise for maintained health-enhancing physical activity in patients with rheumatoid arthritis: a randomised controlled trial (opens in new tab)
- Higher Daytime Light Exposure Predicts Lower Risk of Gastrointestinal Cancer Incidence and Mortality (opens in new tab)
- Home-Based REM Sleep Without Atonia in Patients with Parkinson’s Disease: A Post Hoc Analysis of the ZEAL Study (opens in new tab)
- Hybrid Deep Learning Models for Free-Living Imbalanced Human Activity Recognition: Comparative Study (opens in new tab)
- Impact of Helicopter Vibrations on In-Ear PPG Monitoring for Vital Signs—Mountain Rescue Technology Study (MoReTech) (opens in new tab)
- Impact of patient phenotype on the relationship between accelerometer-derived physical activity and cardiovascular events in atrial fibrillation. (opens in new tab)
- Impact of physical activity patterns on major adverse cardiovascular events in adults with hypertension (opens in new tab)
- Impact of water deprivation on broilers divergently selected for water efficiency (opens in new tab)
- Insights on accelerometer-measured 24-hour movement behaviour across type 2 diabetes sub-phenotypes in the Asian population. (opens in new tab)
- Integrating physical activity into the workplace: opportunities for enhancing employee health (opens in new tab)
- Intervention to optimise body mass index in adolescents and address the triple burden of malnutrition—the Ntshembo (Hope) trial in rural and urban South Africa study: a study protocol for a randomised controlled trial (opens in new tab)
- Investigating the comparability of wearable accelerometer methods in the association between physical activity and cardiovascular disease: a cohort study using UK Biobank (opens in new tab)
- Joint associations of device-measured step count and sleep duration with incident major adverse cardiovascular events: prospective analysis of the UK Biobank. (opens in new tab)
- Lifestyle trajectories of boys and girls during the transition to secondary school in British Columbia, Canada, before and during the COVID-19 pandemic. (opens in new tab)
- Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy (opens in new tab)
- Measuring experienced wellbeing: Two methods for smartphone-based Ecological Momentary Assessment (opens in new tab)
- Mind the gap: obtaining reliable sleep estimates and the diagnostic value of sleep discrepancy in individuals with Alzheimer's disease and Lewy body disease. (opens in new tab)
- Minimum combined sleep, physical activity, and nutrition variations associated with lifeSPAN and healthSPAN improvements: a population cohort study. (opens in new tab)
- Modernisation of chronic respiratory disease management: The integration of wearable technology (opens in new tab)
- Monitoring and evaluation of digital mental health assessments in adults with mild to moderate intellectual disability and concurrent mental illness: a pilot study (opens in new tab)
- More time spent in moderate-to-vigorous physical activity and sleep is associated with a lower incidence of hip or knee osteoarthritis (opens in new tab)
- Objectively measured sleep regularity, weekend recovery sleep, and the risk of incident type 2 diabetes: a prospective cohort study from the UK Biobank. (opens in new tab)
- Objectively-Defined Sleep Regularity Is Associated with Macrovascular and Microvascular Complications among Individuals with Type 2 Diabetes Mellitus: A Cohort Study (opens in new tab)
On-campus supervised physical activity programme for university students facing mental health challenges – a feasibility study exploring feasibility, acceptability, fidelity and preliminary effects
- Optical or Inertial? Two-system motion-capture dataset (AX3 vs Qualisys, dance) — Solberg & Jensenius 2016 (opens in new tab)
- P117 High sensitivity of liver ultrasound for steatosis but low sensitivity for fibrosis: biopsy-comparison study of ultrasound parameters and terminology variability (opens in new tab)
- Parkinson-PEST: protocol for a case–control study on environmental risk factors and Parkinson’s disease (opens in new tab)
- Patterns of daily-life walking in older adults – the HUNT4 Trondheim 70+ Observational Study (opens in new tab)
- Patterns of habitual physical activity in children and adolescents with cerebral palsy (GMFCS I-II) (opens in new tab)
- Physical activity and cardiometabolic health across an extreme lifestyle gradient (opens in new tab)
- Physical activity as a moderator between problematic social media use and mental health in adolescents (opens in new tab)
- Physical activity data correlate with fluctuations in estradiol (opens in new tab)
- Physical activity patterns and cardiovascular disease risk in adults with overweight or obesity: a prospective cohort study. (opens in new tab)
- Physical activity patterns, genetic susceptibility, and incident ischemic stroke: a population-based cohort study (opens in new tab)
- Physical Activity Recommendations Tailored by a Predictive Model for Adults With High Blood Pressure: Observational Study (opens in new tab)
- Poor sleep quality correlates with axial symptoms and mood problems in Parkinson's disease. (opens in new tab)
- Practical Use of Wearable Activity Measurement Devices in Orthopaedic Surgery: A Qualitative Analysis of Multidisciplinary Expert Experience (opens in new tab)
- Privacy and personalisation: predicting Parkinson’s disease severity from real-world gait with federated learning (opens in new tab)
- Quantifying sleep wake rhythms in the hospital environment with digital technologies. (opens in new tab)
- Randomised controlled feasibility trial of an intervention to increase activity and reduce sedentary behaviour in people with severe mental illness: Walking fOR Health (WORtH) study (opens in new tab)
- Rationale and methods of the MOVI-HIIT! cluster-randomized controlled trial: an avatar-guided virtual platform for classroom activity breaks and its impact on cognition, adiposity, and fitness in preschoolers. (opens in new tab)
- Real-World Gait Analysis for Older Adults: Identifying Optimal Gait Bouts and Reconstructing Lower-Back Signals from Wrist-Worn Devices (opens in new tab)
- Real-World Walking Patterns From Wrist-Worn Wearables Predict Incident Type 2 Diabetes: A UK Biobank WatchWalk Study (opens in new tab)
- Reallocation of 24-hour physical behaviour composition and mortality: exploring effect modification by sleep characteristics (opens in new tab)
- Reallocation time of accelerometer-measured movement behaviours, genetic susceptibility, and incident chronic obstructive pulmonary disease (opens in new tab)
- Regional Hypothalamic Responses to Light Vary Across Developmental Stages but Remain Stable with Time of Day (opens in new tab)
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