This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (914) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (788) Demographics of Users, Social & Digital Divide (679) Wearable Devices and Sensors (818) Use and User Demographics of mHealth (311) Fitness Trackers and Smart Pedometers/Accelerometers (541)

Published on in Vol 7, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11898, first published .
Physical Activity Surveillance Through Smartphone Apps and Wearable Trackers: Examining the UK Potential for Nationally Representative Sampling

Physical Activity Surveillance Through Smartphone Apps and Wearable Trackers: Examining the UK Potential for Nationally Representative Sampling

Physical Activity Surveillance Through Smartphone Apps and Wearable Trackers: Examining the UK Potential for Nationally Representative Sampling

Authors of this article:

Tessa Strain1 Author Orcid Image ;   Katrien Wijndaele1 Author Orcid Image ;   Søren Brage1 Author Orcid Image
Article Authors Cited by (44) Tweetations (28) Metrics

Journals

  1. Adebesin F, Mwalugha R. The Mediating Role of Organizational Reputation and Trust in the Intention to Use Wearable Health Devices: Cross-Country Study. JMIR mHealth and uHealth 2020;8(6):e16721 View
  2. Parnell K, Rand J, Plant K. A diary study of distracted driving behaviours. Transportation Research Part F: Traffic Psychology and Behaviour 2020;74:1 View
  3. Hyde E, Omura J, Fulton J, Weldy A, Carlson S. Physical Activity Surveillance Using Wearable Activity Monitors: Are US Adults Willing to Share Their Data?. American Journal of Health Promotion 2020;34(6):672 View
  4. Saghir N, Aggarwal A, Soneji N, Valencia V, Rodgers G, Kurian T. A comparison of manual electrocardiographic interval and waveform analysis in lead 1 of 12-lead ECG and Apple Watch ECG: A validation study. Cardiovascular Digital Health Journal 2020;1(1):30 View
  5. Huh U, Tak Y, Song S, Chung S, Sung S, Lee C, Bae M, Ahn H. Feedback on Physical Activity Through a Wearable Device Connected to a Mobile Phone App in Patients With Metabolic Syndrome: Pilot Study. JMIR mHealth and uHealth 2019;7(6):e13381 View
  6. Perez M, Mahaffey K, Hedlin H, Rumsfeld J, Garcia A, Ferris T, Balasubramanian V, Russo A, Rajmane A, Cheung L, Hung G, Lee J, Kowey P, Talati N, Nag D, Gummidipundi S, Beatty A, Hills M, Desai S, Granger C, Desai M, Turakhia M. Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation. New England Journal of Medicine 2019;381(20):1909 View
  7. Baumgartner C, Baumgartner J, Pirker-Kees A, Rumpl E. Wearables in der Schlaganfallmedizin. Klinische Neurophysiologie 2021;52(01):10 View
  8. Strain T, Milton K, Dall P, Standage M, Mutrie N. How are we measuring physical activity and sedentary behaviour in the four home nations of the UK? A narrative review of current surveillance measures and future directions. British Journal of Sports Medicine 2020;54(21):1269 View
  9. BUOITE STELLA A, AJČEVIĆ M, FURLANIS G, CILLOTTO T, MENICHELLI A, ACCARDO A, MANGANOTTI P. Smart technology for physical activity and health assessment during COVID-19 lockdown. The Journal of Sports Medicine and Physical Fitness 2021;61(3) View
  10. Mair J, Campbell A, Hayes L, Sculthorpe N. The Power of Wearables: Is it Time to Use Commercially Available Activity Tracker Data Retrospectively to Understand Population Physical Activity Patterns?. SSRN Electronic Journal 2021 View
  11. Henriksen A, Johannessen E, Hartvigsen G, Grimsgaard S, Hopstock L. Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study. JMIR Public Health and Surveillance 2021;7(4):e23806 View
  12. O'Doherty A, Humphreys H, Dawkes S, Cowie A, Hinton S, Brubaker P, Butler T, Nichols S. How has technology been used to deliver cardiac rehabilitation during the COVID-19 pandemic? An international cross-sectional survey of healthcare professionals conducted by the BACPR. BMJ Open 2021;11(4):e046051 View
  13. Shakespear-Druery J, De Cocker K, Biddle S, Gavilán-Carrera B, Segura-Jiménez V, Bennie J. Assessment of muscle-strengthening exercise in public health surveillance for adults: A systematic review. Preventive Medicine 2021;148:106566 View
  14. Negrini F, de Sire A, Lazzarini S, Pennestrì F, Sorce S, Arienti C, Vitale J. Reliability of activity monitors for physical activity assessment in patients with musculoskeletal disorders: A systematic review. Journal of Back and Musculoskeletal Rehabilitation 2021;34(6):915 View
  15. Östlind E, Sant’Anna A, Eek F, Stigmar K, Ekvall Hansson E. Physical activity patterns, adherence to using a wearable activity tracker during a 12-week period and correlation between self-reported function and physical activity in working age individuals with hip and/or knee osteoarthritis. BMC Musculoskeletal Disorders 2021;22(1) View
  16. Rowlands A, Saint-Maurice P, Dall P. COVID-19 Highlights the Potential for a More Dynamic Approach to Physical Activity Surveillance. Journal for the Measurement of Physical Behaviour 2022;5(1):1 View
  17. Mair J, Hayes L, Campbell A, Sculthorpe N. Should We Use Activity Tracker Data From Smartphones and Wearables to Understand Population Physical Activity Patterns?. Journal for the Measurement of Physical Behaviour 2022;5(1):3 View
  18. Maaß L, Pan C, Freye M. Mapping Digital Public Health Interventions Among Existing Digital Technologies and Internet-Based Interventions to Maintain and Improve Population Health in Practice: Protocol for a Scoping Review. JMIR Research Protocols 2022;11(3):e33404 View
  19. Leung W, Shi L, Jung J. Comparison of Participation in Strength Activity Between Wearable Device Users and Nonusers: 2017 Behavioral Risk Factors Surveillance System. Journal of Physical Activity and Health 2022;19(10):673 View
  20. Rowlands A, Maylor B, Dawkins N, Dempsey P, Edwardson C, Soczawa-Stronczyk A, Bocian M, Patterson M, Yates T. Stepping up with GGIR: Validity of step cadence derived from wrist-worn research-grade accelerometers using the verisense step count algorithm. Journal of Sports Sciences 2022;40(19):2182 View
  21. GALLONE G, BRUNO F, D’ASCENZO F, DE FERRARI G. What will we ask to artificial intelligence for cardiovascular medicine in the next decade?. Minerva Cardiology and Angiology 2022;70(1) View
  22. Hajek A, König H. Frequency and correlates of use of applications for monitoring and increasing health and well-being in middle-aged and older adults. Findings from the German Ageing Survey. Archives of Gerontology and Geriatrics 2022;98:104571 View
  23. Silva D, Barboza L, Baldew S, Anza-Ramirez C, Ramírez-Vélez R, Schuch F, Gomes T, Sadarangani K, García-Hermoso A, Nieto-Martinez R, Ferrari G, Miranda J, Werneck A, . Measurement of physical activity and sedentary behavior in national health surveys, South America. Revista Panamericana de Salud Pública 2022;46:1 View
  24. Van Wier M, Urry E, Lissenberg-Witte B, Kramer S. User characteristics associated with use of wrist-worn wearables and physical activity apps by adults with and without impaired speech-in-noise recognition: a cross-sectional analysis. International Journal of Audiology 2024;63(1):49 View
  25. Airola E. Learning and Use of eHealth Among Older Adults Living at Home in Rural and Nonrural Settings: Systematic Review. Journal of Medical Internet Research 2021;23(12):e23804 View
  26. Dixon W, van der Veer S, Ali S, Laidlaw L, Dobson R, Sudlow C, Chico T, MacArthur J, Doherty A. Charting a Course for Smartphones and Wearables to Transform Population Health Research. Journal of Medical Internet Research 2023;25:e42449 View
  27. Johnson A, Routh S, Taylor C, Leopold M, Beatty K, McNamara D, Davis E. Developing and Implementing an mHealth Heart Failure Self-care Program to Reduce Readmissions: Randomized Controlled Trial. JMIR Cardio 2022;6(1):e33286 View
  28. Naiki T, Sugiyama Y, Tasaki Y, Iida K, Etani T, Hamamoto S, Nagai T, Nozaki S, Ando R, Kawai N, Yasui T. Efficacy of a Newly Modified Short Hydration Method for Gemcitabine and Cisplatin Combination Chemotherapy in Patients with Urothelial Carcinoma. Oncology 2020;98(9):612 View
  29. Omura J, Whitfield G, Chen T, Hyde E, Ussery E, Watson K, Carlson S. Surveillance of Physical Activity and Sedentary Behavior Among Youth and Adults in the United States: History and Opportunities. Journal of Physical Activity and Health 2021;18(S1):S6 View
  30. Anghel R, Adam C, Marcu D, Mitu O, Mitu F. Cardiac Rehabilitation in Patients with Peripheral Artery Disease—A Literature Review in COVID-19 Era. Journal of Clinical Medicine 2022;11(2):416 View
  31. Tan S, Chiu-Shee C, Duarte F. From SARS to COVID-19: Digital infrastructures of surveillance and segregation in exceptional times. Cities 2022;120:103486 View
  32. Buss V, Varnfield M, Harris M, Barr M. Remotely Conducted App-Based Intervention for Cardiovascular Disease and Diabetes Risk Awareness and Prevention: Single-Group Feasibility Trial. JMIR Human Factors 2022;9(3):e38469 View
  33. Leung W, Shi L, Jung J. Are individuals with disabilities using wearable devices? A secondary data analysis of 2017 BRFSS. Disability and Rehabilitation: Assistive Technology 2024;19(1):131 View
  34. Raja M, Bjerkan J, Kymre I, Galvin K, Uhrenfeldt L. Telehealth and digital developments in society that persons 75 years and older in European countries have been part of: a scoping review. BMC Health Services Research 2021;21(1) View
  35. Strain T, Wijndaele K, Pearce M, Brage S. Considerations for the Use of Consumer-Grade Wearables and Smartphones in Population Surveillance of Physical Activity. Journal for the Measurement of Physical Behaviour 2022;5(1):8 View
  36. Agnew J, Nugent C, Hanratty C, Martin E, Kerr D, McVeigh J. Rating the Quality of Smartphone Apps Related to Shoulder Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale. JMIR Formative Research 2022;6(5):e34339 View
  37. Luciano F, Crova F, Canella F. COVID-19 Containment Measures—a Step Back for Walking Mobility? A 2-Year, 60-Country Analysis of the Apple Mobility Data. Journal of Physical Activity and Health 2023:1 View
  38. Giusti M, Samuelsson K. Evaluation of a smartphone-based methodology that integrates long-term tracking of mobility, place experiences, heart rate variability, and subjective well-being. Heliyon 2023;9(5):e15751 View
  39. Raja M, Kymre I, Bjerkan J, Galvin K, Uhrenfeldt L. National digital strategies and innovative eHealth policies concerning older adults’ dignity: a document analysis in three Scandinavian countries. BMC Health Services Research 2023;23(1) View
  40. Mensah Otabil E, Dai Q, Anzenberg P, Filippaios A, Ding E, Mehawej J, Mathew J, Lessard D, Wang Z, Noorishirazi K, Hamel A, Paul T, DiMezza D, Han D, Mohagheghian F, Soni A, Lin H, Barton B, Saczynski J, Chon K, Tran K, McManus D. Technology engagement is associated with higher perceived physical well-being in stroke patients prescribed smartwatches for atrial fibrillation detection. Frontiers in Digital Health 2023;5 View
  41. Zhang C, Zhu T, Wu H, Ning H. PerMl-Fed: enabling personalized multi-level federated learning within heterogenous IoT environments for activity recognition. Cluster Computing 2024 View
  42. Maaß L, Angoumis K, Freye M, Pan C. Mapping digital public health interventions in practice: A scoping review of existing digital technologies and Internet-based interventions to maintain and improve population health (Preprint). Journal of Medical Internet Research 2023 View

Books/Policy Documents

  1. Altibi A, Al’Aref S, Khosravi P. Machine Learning in Cardiovascular Medicine. View
  2. Oman S. Understanding Well-being Data. View