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

mHealth for Data Collection and Research (917) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (792) Demographics of Users, Social & Digital Divide (685) Wearable Devices and Sensors (825) Use and User Demographics of mHealth (313) Fitness Trackers and Smart Pedometers/Accelerometers (543)

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

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  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
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  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
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Books/Policy Documents

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  2. Oman S. Understanding Well-being Data. View