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Citing this Article

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Published on 28.02.17 in Vol 5, No 2 (2017): February

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

Works citing "Accuracy and Adoption of Wearable Technology Used by Active Citizens: A Marathon Event Field Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.6395):

(note that this is only a small subset of citations)

  1. Clermont CA, Duffett-Leger L, Hettinga BA, Ferber R. Runners’ Perspectives on ‘Smart’ Wearable Technology and Its Use for Preventing Injury. International Journal of Human–Computer Interaction 2020;36(1):31
    CrossRef
  2. Doherty C, Keogh A, Davenport J, Lawlor A, Smyth B, Caulfield B. An evaluation of the training determinants of marathon performance: A meta-analysis with meta-regression. Journal of Science and Medicine in Sport 2020;23(2):182
    CrossRef
  3. Silva AG, Simões P, Queirós A, Rodrigues M, Rocha NP. Mobile Apps to Quantify Aspects of Physical Activity: a Systematic Review on its Reliability and Validity. Journal of Medical Systems 2020;44(2)
    CrossRef
  4. Sollanek KJ, Liu M, Carballo A, Caldwell AR, Cheuvront SN. The accurate prediction of sweat rate from energy expenditure and air temperature: A proof-of-concept study. Applied Physiology, Nutrition, and Metabolism 2020;
    CrossRef
  5. LaPlaca DA, Turner H. Health Ramifications of Smart Devices. Strength & Conditioning Journal 2020;42(3):106
    CrossRef
  6. Janssen M, Walravens R, Thibaut E, Scheerder J, Brombacher A, Vos S. Understanding Different Types of Recreational Runners and How They Use Running-Related Technology. International Journal of Environmental Research and Public Health 2020;17(7):2276
    CrossRef
  7. Fokkema T, Damme AA, Fornerod MW, Vos R, Bierma‐Zeinstra SM, Middelkoop M. Training for a (half‐)marathon: Training volume and longest endurance run related to performance and running injuries. Scandinavian Journal of Medicine & Science in Sports 2020;
    CrossRef
  8. Chacko SC, Quinzi F, De Fano A, Bianco V, Mussini E, Berchicci M, Perri RL, Di Russo F. A single bout of vigorous-intensity aerobic exercise affects reactive, but not proactive cognitive brain functions. International Journal of Psychophysiology 2020;147:233
    CrossRef
  9. Gilgen-Ammann R, Schweizer T, Wyss T. Accuracy of Distance Recordings in Eight Positioning-Enabled Sport Watches: Instrument Validation Study. JMIR mHealth and uHealth 2020;8(6):e17118
    CrossRef
  10. Morris J, Jones M, Thompson N, Wallace T, DeRuyter F. Clinician Perspectives on mRehab Interventions and Technologies for People with Disabilities in the United States: A National Survey. International Journal of Environmental Research and Public Health 2019;16(21):4220
    CrossRef
  11. Rüdiger S, Stuckenschneider T, Abeln V, Askew CD, Wollseiffen P, Schneider S. Validation of a widely used heart rate monitor to track steps in older adults. The Journal of Sports Medicine and Physical Fitness 2019;59(10)
    CrossRef
  12. Strotbaum V, Pobiruchin M, Schreiweis B, Wiesner M, Strahwald B. Your data is gold – Data donation for better healthcare?. it - Information Technology 2019;61(5-6):219
    CrossRef
  13. Benson LC, Clermont CA, Osis ST, Kobsar D, Ferber R. Classifying running speed conditions using a single wearable sensor: Optimal segmentation and feature extraction methods. Journal of Biomechanics 2018;71:94
    CrossRef
  14. Stuckenschneider T, Askew CD, Rüdiger S, Polidori MC, Abeln V, Vogt T, Krome A, Olde Rikkert M, Lawlor B, Schneider S, Matura S. Cardiorespiratory Fitness and Cognitive Function are Positively Related Among Participants with Mild and Subjective Cognitive Impairment. Journal of Alzheimer's Disease 2018;62(4):1865
    CrossRef
  15. Kebede M, Steenbock B, Helmer SM, Sill J, Möllers T, Pischke CR. Identifying Evidence-Informed Physical Activity Apps: Content Analysis. JMIR mHealth and uHealth 2018;6(12):e10314
    CrossRef
  16. Wiesner M, Zowalla R, Suleder J, Westers M, Pobiruchin M. Technology Adoption, Motivational Aspects, and Privacy Concerns of Wearables in the German Running Community: Field Study. JMIR mHealth and uHealth 2018;6(12):e201
    CrossRef
  17. Stragier J, Vanden Abeele M, De Marez L. Recreational athletes’ running motivations as predictors of their use of online fitness community features. Behaviour & Information Technology 2018;37(8):815
    CrossRef