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. Accelerometer-derived physical activity patterns and risk of incident gout: a prospective cohort study of 97,387 UK Biobank participants. (opens in new tab)
  2. Accelerometer-Derived Physical Activity Volume, Not Pattern, Correlates with Reduced Gout Incidence in a UK Prospective Cohort (opens in new tab)
  3. Accelerometer-Derived Rest-Activity Rhythm Amplitude, Genetic Predisposition, and the Risk of Ischemic Heart Disease: Observational and Mendelian Randomization Study (opens in new tab)
  4. Accelerometer-derived “weekend warrior” physical activity pattern and cardiovascular disease in individuals with hypertension: a prospective cohort study (opens in new tab)
  5. Accelerometer-derived “weekend warrior” physical activity pattern and incident type 2 diabetes (opens in new tab)
  6. Accelerometer-measured chronoactivity and type 2 diabetes risk: A prospective study in UK Biobank participants (opens in new tab)
  7. Accelerometer-measured moderate-to-vigorous physical activity is associated with reduced risk of bowel resection and mortality in inflammatory bowel disease: a prospective cohort study (opens in new tab)
  8. Accelerometer-measured physical activity, frailty, and all-cause mortality and life expectancy among middle-aged and older adults: a UK Biobank longitudinal study. (opens in new tab)
  9. Accelerometers can correctly count orthopaedic patients' early post‐operative steps while using walking aids (opens in new tab)
  10. Accelerometery 24-hour movement behaviours and health markers in the European old population: iso-temporal substitution regression (opens in new tab)
  11. Accelerometer‐derived “weekend warrior” and regularly active physical activity and incident diabetes (opens in new tab)
  12. Accelerometer‐measured physical activity timing with incident dementia (opens in new tab)
  13. Accelerometer‐measured weekend catch‐up sleep and incident dementia: A prospective cohort study (opens in new tab)
  14. Accelerometry-Based Physical Activity and Sedentary Behavior Among Chinese Adults - 7 PLADs, China, 2023. (opens in new tab)
  15. Accelerometry-derived features of physical activity, sleep and circadian rhythm relate to non-motor symptoms in individuals with isolated REM sleep behavior disorder (opens in new tab)
  16. ActBeCalf: Accelerometer-based multivariate time-series dataset for calf behavior classification (opens in new tab)
  17. Actigraphy-based detection of isolated REM sleep behavior disorder: multicenter validation across devices and populations (opens in new tab)
  18. Activity Detection of Paralympic Athletes with Lower Limb Running-Specific Prosthesis During Extended Periods of Time: Software Development and Preliminary Validation (opens in new tab)
  19. Added value of a wrist-worn device for assessing tremor in Parkinson’s disease: reliability and validity of tremor evaluation at home (opens in new tab)
  20. Adolescent Engagement With a Multicomponent mHealth Tool: Identifying Usage Patterns, Determinants, and Health Behavior Change in an Intervention Trial (opens in new tab)
  21. AFTERSCHOOL RX: USING A COMMUNITY-BASED PRESCRIPTION TO IMPROVE MOVEMENT BEHAVIORS AMONG CHILDREN WITH ELEVATED CARDIOMETABOLIC RISK (opens in new tab)
  22. Age- and sex-related differences in sleep patterns and their relations to self-reported sleep and mood (opens in new tab)
  23. Amount and intensity of daily total physical activity, step count and risk of incident cancer in the UK Biobank (opens in new tab)
  24. An Effective Approach for Wearable Sensor-Based Human Activity Recognition in Elderly Monitoring (opens in new tab)
  25. An inertial sensor-based comprehensive analysis of manual wheelchair user mobility during daily life in people with SCI (opens in new tab)
  26. Are exercise booster sessions effective at preserving exercise-induced effects in people with multiple sclerosis? A randomised controlled trial: results from the MSBOOST trial (opens in new tab)
  27. Are physical activity, sleep, and joint pain associated with physical function and quality of life in individuals with multimorbidity? A cross-sectional analysis of the MOBILIZE trial (opens in new tab)
  28. Assessing 24-h movement behaviors in early childhood (0–4 years): Reliability of the My Little Moves app and comparison with accelerometry (opens in new tab)
  29. Assessing Parkinson's Rest Tremor from the Wrist with Accelerometry and Gyroscope Signals in Patients with Deep Brain Stimulation: An Observational Study. (opens in new tab)
  30. Assessment of physical activity patterns in patients with rheumatoid arthritis using the UK Biobank (opens in new tab)
  31. Association between device-based measured physical activity timing and depression risk: a prospective cohort study of UK Biobank participants (opens in new tab)
  32. Association between device-measured physical activities, type 2 diabetes, and life expectancy over the next 10 years: a prospective longitudinal study (opens in new tab)
  33. Association Between Physical Activity and Memory Function: The Role of Brain Structural Markers in a Cross‐Sectional Study (opens in new tab)
  34. Association between physical activity patterns and the risk of stroke phenotypes: an accelerometer-based prospective cohort study from the UK Biobank. (opens in new tab)
  35. Association between questionnaire- and accelerometer-measured physical activity and incidence of cardiovascular disease in subjects with metabolic dysfunction-associated steatotic liver disease (opens in new tab)
  36. Association between sleep and ALS-FTSD: A Prospective Cohort Study based on 396,918 UK biobank participants. (opens in new tab)
  37. Association Between Volume, Intensity and Rhythm of Physical Activity Measured by Accelerometer and Risk of All‐Cause and Cause‐Specific Mortality in Individuals With <scp>MASLD</scp> (opens in new tab)
  38. Association of Accelerometer-Derived Physical Activity Pattern With the Risks of All-Cause, Cardiovascular Disease, and Cancer Death. (opens in new tab)
  39. Association of Cut-Point Free Metrics and Common Clinical Tests Among Older Adults After Proximal Femoral Fracture (opens in new tab)
  40. Association of Daily Steps with Incident Nonalcoholic Fatty Liver Disease: Evidence from the UK Biobank Cohort. (opens in new tab)
  41. Association of Device-Measured Habitual Sedentary Activity and Standing Posture With Blood Pressure and Hypertension in Danish Adults: The Lolland-Falster Health Study. (opens in new tab)
  42. Association of physical activity, cardiorespiratory fitness, grip strength, and grip strength asymmetry with incident musculoskeletal disorders in 406,080 White adults. (opens in new tab)
  43. Association of self-reported and accelerometer-based walking pace with incident cardiac arrhythmias: a prospective cohort study using UK Biobank (opens in new tab)
  44. Association of wearable device-measured physical activity with full-course diabetic retinopathy and retinal traits: insights from the middle-aged and older adult cohort (opens in new tab)
  45. Associations Between Accelerometer-Measured 24-Hour Movement Behaviors and Cardiac Conduction Disease in the UK Biobank Cohort (opens in new tab)
  46. Associations between knee pain and knee-loading physical activities at work and leisure – a cross-sectional study based on accelerometer measurements (opens in new tab)
  47. Associations between Leisure and Work Time Activity Behavior and 24-h Ambulatory Blood Pressure among Aging Workers. (opens in new tab)
  48. Associations between leisure sedentary behaviors, physical activity, and chronic respiratory diseases: a Mendelian randomization study. (opens in new tab)
  49. Associations between physical activities and self-harm behaviour in depression across the genotype: findings from the UK biobank (opens in new tab)
  50. Associations between physical activity and brain structure in a large community cohort (opens in new tab)