Publications

1,589 peer-reviewed studies and conference papers whose research used an Axivity accelerometer.

Publications per year, 2009–2026 Compiled from Europe PMC and OpenAlex, then screened against one criterion: the study used the device to collect data, or evaluated one as an instrument. Screening is automatic and the method, and what it could not resolve, is published. If your study belongs here, let us know.

1,589 publications

2025

  1. Associations between physical activity and cardiorespiratory fitness and adverse outcomes in patients with atrial fibrillation: a prospective cohort study. (opens in new tab)
  2. Associations between the 24-h Activity Daily Cycle and Incident Dementia (opens in new tab)
  3. Associations of accelerometer-derived ‘weekend warrior’ physical activity pattern with incident sarcopenia and falls (opens in new tab)
  4. Associations of accelerometer-measured light-intensity physical activity with mortality and incidence of cardiovascular diseases and cancers: A prospective cohort study. (opens in new tab)
  5. Associations of Device-Measured Sleep Duration, Regularity, and Efficiency with Cardiometabolic Health in Adults: Findings from the ProPASS Consortium (opens in new tab)
  6. Associations of sport and exercise participation in adolescence with body composition and device-measured physical activity in adulthood: longitudinal data from the Norwegian HUNT study. (opens in new tab)
  7. Augmenting a ResNet + BiLSTM Deep Learning Model with Clinical Mobility Data Helps Outperform a Heuristic Frequency-Based Model for Walking Bout Segmentation (opens in new tab)
  8. Average acceleration and intensity gradient of 9–11-year-old rural and urban Kenyan school-going children and associations with cardiorespiratory fitness and BMI: The Kenya-LINX project (opens in new tab)
  9. Behavioral Monitoring in Transient Ischemic Attack and Stroke Patients: Exploratory Micro- and Macrostructural Imaging Insights for Identifying Post-Stroke Depression with Accelerometers in UK Biobank (opens in new tab)
  10. Between the Trees: Quantifying Koala Ground Movement for Conservation Action. (opens in new tab)
  11. Beyond Arm Capacity in Chronic Stroke: Evaluating Paretic Arm Non-Use Through Arm Efficiency-A Cross-Sectional Study. (opens in new tab)
  12. Beyond the Timed Up and Go: Dual-Task Gait Assessments Improve Fall Risk Detection and Reflect Real-World Mobility in Multiple Sclerosis (opens in new tab)
  13. CabriTrack: Accelerometer data for automated behavioural monitoring of grazing Creole goats. (opens in new tab)
  14. Calibration and Validation of Machine Learning Models for Physical Behavior Characterization: Protocol and Methods for the Free-Living Physical Activity in Youth (FLPAY) Study. (opens in new tab)
  15. Can home care work be organized to promote musculoskeletal health for workers? Results from the GoldiCare cluster randomized controlled trial (opens in new tab)
  16. Cardiorespiratory fitness and cardiometabolic health are associated with distinct cognitive domains in cognitively-healthy older adults (opens in new tab)
  17. Changes in Accelerometer-Measured Physical Activity and Sedentary Time Across Retirement Transition as a Predictor of Self-Rated Health

  18. Changes in physical activity across retirement: a compositional data analysis approach in a Swedish cohort study. (opens in new tab)
  19. Characterising real‐world macro walking outcomes of people with Posterior Cortical Atrophy using accelerometery: Feasibility and preliminary comparison with Alzheimer's and Lewy body disease

  20. Chronic inflammation mediates the relationship between physical activity and telomere length (opens in new tab)
  21. Circadian rest-activity rhythms and multimorbidity and mortality risks among menopausal women: a trajectory analysis of a UK Biobank cohort (opens in new tab)
  22. Circadian rhythm of locomotor activity and body temperature in free-range laying hens as measured by triaxial accelerometers and subcutaneous biologgers (opens in new tab)
  23. Circadian rhythm profiles derived from accelerometer measures of the sleep-wake cycle in two cohort studies. (opens in new tab)
  24. Circulating Cytokines Mediate the Protective Effect of Physical Activity on Cardiovascular Diseases: A Mendelian Randomization Mediation Analysis (opens in new tab)
  25. Classification of 24-hour movement behaviors from wrist-worn accelerometer data: from handcrafted features to deep learning techniques (opens in new tab)
  26. Clinical validation of a rule-based decision tree algorithm for classifying hip movements in people with spinal cord injury (opens in new tab)
  27. Co-design of a digital 24-hour time-use intervention with older adults and allied health professionals (opens in new tab)
  28. Co-development of a programme to improve physical activity support for women after breast cancer treatment: a pre-protocol for PURE-EX (opens in new tab)
  29. Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients (opens in new tab)
  30. Cohort profile: baseline characteristics and design of the McMaster Monitoring My Mobility (MacM3) study – a prospective digital mobility cohort of community-dwelling older Canadians from Southern Ontario (opens in new tab)
  31. Community participation, physical activity, and quality of life for children born very preterm. (opens in new tab)
  32. Community-based promotion of physical activity in Nepal: study protocol for a cluster-randomized controlled trial (opens in new tab)
  33. Comparative dynamicsof physical activity in children aged11–13 (opens in new tab)
  34. Comparing Physical Activity Metrics From Different Placements of Thigh-Worn Accelerometers (opens in new tab)
  35. Concurrent Changes in 24-Hour Movement Behaviors and Cognitive Function during Retirement Transition: Longitudinal Compositional Data Analysis (opens in new tab)
  36. Continuous Monitoring of Head Turns: Compliance, Kinematics, and Reliability of Wearable Sensing (opens in new tab)
  37. Contribution of walking, running and cycling to moderate-to-vigorous and total physical activity in adolescents and adults across and within seasons: cross-sectional data from the Norwegian HUNT Study (opens in new tab)
  38. Cross-sectional and prospective associations of screen media use with non-sedentary time and body positions in young children (opens in new tab)
  39. Cross-sectional relationships of circadian misalignment and rest-activity rhythms with occupational attainment in UK Biobank participants. (opens in new tab)
  40. Daily physical activity and trajectories of care service use among older adults: the HUNT4 Trondheim 70+ study (opens in new tab)
  41. Daily steps are a predictor of, but perhaps not a risk factor for Parkinson's disease: findings from the UK Biobank. (opens in new tab)
  42. Daily time-use compositions of physical behaviours and its association with evaluative and experienced wellbeing: a multilevel compositional analysis (opens in new tab)
  43. Daily-Life Walking Characteristics of Older Adults in Relation to Age, Sex, and Physical Function: the HUNT4 Trondheim 70+ Observational Study (opens in new tab)
  44. DARE to wear: digital health promotion and disease prevention using wearable devices (opens in new tab)
  45. Data sharing-based approach for Federated Learning tasks on Edge Devices (opens in new tab)
  46. Data Sheet 1_Feasibility of predicting next-day fatigue levels using heart rate variability and activity-sleep metrics in people with post-COVID fatigue.csv (opens in new tab)
  47. Deep Learning Predicts Postoperative Mobility, Activities of Daily Living, and Discharge Destination in Older Adults from Sensor Data (opens in new tab)
  48. Delayed phase in rest-activity rhythms is associated with inflammation and cognitive performance in people living with HIV (opens in new tab)
  49. Detecting Equine Gaits Through Rider-Worn Accelerometers (opens in new tab)
  50. Development of a quantitative job exposure matrix for standing, walking, and forward bending among pregnant workers – The PRECISE JEM (opens in new tab)