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. Sedentary behaviors, physical activity, and risk of allergic rhinitis and asthma: evidence from cohort and Mendelian randomization studies (opens in new tab)
  2. Sedentary Leisure Behaviour, Physical Activity, and Gastroesophageal Reflux Disease: Evidence From a Mendelian Randomization Analysis. (opens in new tab)
  3. Sensor for sports applications: monitoring and assessment of intrinsic capacity enhancement in older adults during brisk walking (opens in new tab)
  4. Sex differences in the association between cognitive function and 24-hour activity patterns in older adults: a compositional data analysis (opens in new tab)
  5. Sex differences in the association of wearable accelerometer-derived physical activity with coronary heart disease incidence and mortality. (opens in new tab)
  6. Sleep and physical activity trade-offs and dementia risk: a prospective cohort study in UK Biobank participants. (opens in new tab)
  7. Sleep as a window of cardiometabolic health: The potential of digital sleep and circadian biomarkers (opens in new tab)
  8. Sleep Quality in Chronic Pain Patients With and Without Strong Opioid Use: An Observational Study Using a Wearable Device. (opens in new tab)
  9. Sleep traits causally affect epigenetic age acceleration: a Mendelian randomization study. (opens in new tab)
  10. Sleep, physical activity, sedentary behavior, and risk of cataract: a cross-sectional and prospective study from UK Biobank. (opens in new tab)
  11. Snacktivity™ to Promote Physical Activity in Primary Care, Community Health and Public Health Settings: A Feasibility Randomised Controlled Trial (opens in new tab)
  12. Social determinants of health and brain connectivity predict physical activity behavior change after new cardiovascular diagnosis (opens in new tab)
  13. Sociodemographic Correlates of Device-Measured Movement Behaviours in a Nationally Representative Cohort of Older English Adults (opens in new tab)
  14. Special Issue: Abstracts of the 11<sup>th</sup> Congress of the European Academy of Neurology, Helsinki, Finland. (opens in new tab)
  15. Study protocol for measuring energy needs and nutritional status of adolescent girls in Abia state, Nigeria: The nutrition and adolescence in rural Nigeria (NARN’ia) Study (opens in new tab)
  16. Study protocol for the Australasian Cerebral Palsy Musculoskeletal Health Network (AusCP MSK) prospective cohort study: early detection of musculoskeletal complications in young children with moderate to severe cerebral palsy (GMFCS III-V). (opens in new tab)
  17. Study Protocol for the Japan Pregnancy, Eating, Activity, Cohort (J-PEACH) Study: Investigating Perinatal Maternal Lifestyle and Infant Health (opens in new tab)
  18. The 24-Hour Movement Behavior Composition and the Risk of Dementia. (opens in new tab)
  19. The 24-hour movement behaviour compositions of children with and without impaired motor coordination: The Moves-UP project (opens in new tab)
  20. The Ability of Monitor-Independent Movement Summary Units, Euclidean Norm Minus One, and Mean Amplitude Deviation to Harmonize Accelerometry Data Across Research-Grade and Consumer Wearable Devices During Simulated Free-Living Physical Activity in Children (opens in new tab)
  21. The Association Between Parent’s Mobile Device Use and Physical Activity

  22. The association between physical and sensory function, self-perceived health, and 24-hour activity patterns for older people: A compositional data analysis (opens in new tab)
  23. The association between physical function, self-perceived health, and 24-hour activity patterns for older people in Europe: a compositional data analysis (opens in new tab)
  24. The association of activity patterns on female reproductive diseases: a prospective cohort study of UK biobank (opens in new tab)
  25. The crosstalk between the anterior hypothalamus and the locus coeruleus during wakefulness is associated with low frequency oscillations power during sleep (opens in new tab)
  26. The effectiveness and cost effectiveness of Snacktivity™ as an intervention to promote physical activity and health outcomes: a study protocol for a multi-centre randomised controlled trial. (opens in new tab)
  27. The effectiveness of combining a home-based Digital motor Telerehabilitation program with conventional therapy in progressive multiple sclerosis: A study protocol for a multicenter, randomized controlled trial. (opens in new tab)
  28. The feasibility of evaluating outdoor nature-based early childhood education and care provision: a pilot quasi-experimental design (opens in new tab)
  29. The Feasibility of Smartwatch Micro Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the SEACO Child Health Update 2020: a Cross-Sectional Study (opens in new tab)
  30. The future of clinical trials? Monitoring mobility as an outcome measure in Parkinson's disease: The mobilise-D study (opens in new tab)
  31. The goldilocks days represent optimal time-use to prevent obesity, low physical performance, risk and fear of falling in older adults (opens in new tab)
  32. The Health for Life in Singapore (HELIOS) Study: delivering precision medicine research for Asian populations. (opens in new tab)
  33. The health impacts and genetic architecture of food liking in cardio-metabolic diseases. (opens in new tab)
  34. The impact of telework allowance and utilization on physiological and perceived stress among Swedish white-collar workers (opens in new tab)
  35. The influence of socioeconomic disparities on the association of physical behavior with incident type 2 diabetes. (opens in new tab)
  36. The Intensity Inequality Index for Physical Activity: A New Metric for Integrative Analysis of Movement (opens in new tab)
  37. The interplay between genomic copy number variants, sleep, and cognition in the general population (opens in new tab)
  38. The performance of a machine learning model in predicting accelerometer-derived walking speed (opens in new tab)
  39. The Relation Between Hemiparetic Gait Patterns and Walking Function After Stroke, as Measured with Wearable Sensors (opens in new tab)
  40. The role of circadian rest-activity rhythm for the link between 25-hydroxyvitamin D and type 2 diabetes: a cohort study (opens in new tab)
  41. Trajectories of children’s physical activity volume and intensity across the school year: the Ready, Set, Move project (opens in new tab)
  42. Treadmill perturbation-based balance training to prevent unrecovered falls in fall-prone older adults with and without cognitive impairment: protocol for the multi-center randomized controlled TRAIL study. (opens in new tab)
  43. Understanding the role of integrated grip strength, physical activity, diet, and adiposity-related body composition in the development of type 2 diabetes: insights from the UK Biobank cohort (opens in new tab)
  44. Unraveling the Potential of Physical Activity and High-Intensity Interval Training in the Treatment of Familial Hypercholesterolemia: Impact on Cardiorespiratory Fitness, Atherosclerosis, and Underlying Mechanisms. Study protocol of the UPPA-FH Project (opens in new tab)
  45. Unsupervised machine learning models reveal two distinct post-operative physical activity profiles among joint arthroplasty patients: a United Kingdom biobank cohort study (opens in new tab)
  46. Upper Limb Capacity, Performance, and Leisure Participation in Children with Unilateral Cerebral Palsy (opens in new tab)
  47. Using a Back‐Worn Accelerometer to Capture Nocturia Frequency in Parkinson's: An Exploratory Study (opens in new tab)
  48. Validation and comparative study of the Motus system for accurately identifying movement behaviours using different sampling frequencies (opens in new tab)
  49. Variability and Reliability of the Axivity AX6 Accelerometer in Technical and Human Motion Conditions (opens in new tab)
  50. Volume and Intensity of Walking and Risk of Chronic Low Back Pain (opens in new tab)