Published on 28.02.17 in Vol 5, No 2 (2017): February
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)
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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
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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
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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
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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
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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
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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
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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
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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
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Fokkema T, van Damme AA, Fornerod MW, de Vos R, Bierma‐Zeinstra SM, van 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;30(9):1692
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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
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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)
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LaPlaca DA, Turner H. Health Ramifications of Smart Devices. Strength & Conditioning Journal 2020;42(3):106
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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;45(11):1299
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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
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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
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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)
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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
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Sanchis-Gomar F, Lavie CJ, Perez MV. Consumer wearable technologies to identify and monitor exercise-related arrhythmias in athletes. Current Opinion in Cardiology 2021;36(1):10
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Lluch J, Rebollo M, Calduch-Losa A, Molla R. Precision of Wearable GPS in Marathon Races. IEEE Consumer Electronics Magazine 2021;10(1):32
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Chandrasekaran R, Katthula V, Moustakas E. Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey. Journal of Medical Internet Research 2020;22(10):e22443
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Singh P, Esposito M, Barrons Z, Clermont CA, Wannop J, Stefanyshyn D. Measuring Gait Velocity and Stride Length with an Ultrawide Bandwidth Local Positioning System and an Inertial Measurement Unit. Sensors 2021;21(9):2896
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. Criterion Validity of iOS and Android Applications to Measure Steps and Distance in Adults. Technologies 2021;9(3):55
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Helsen K, Janssen M, Vos S, Scheerder J. Two of a Kind? Similarities and Differences between Runners and Walkers in Sociodemographic Characteristics, Sports Related Characteristics and Wearable Usage. International Journal of Environmental Research and Public Health 2022;19(15):9284
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Toresdahl BG, Metzl JD, Kinderknecht J, McElheny K, de Mille P, Quijano B, Fontana MA. Training patterns associated with injury in New York City Marathon runners. British Journal of Sports Medicine 2023;57(3):146
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. Towards a Wearable Technology Model. International Journal of Information Systems in the Service Sector 2022;14(1):1
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Bube B, Zanón BB, Lara Palma AM, Klocke H. Wearable Devices in Diving: Scoping Review. JMIR mHealth and uHealth 2022;10(9):e35727
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Chan ZYS, Peeters R, Cheing G, Ferber R, Cheung RTH. Evaluation of COVID-19 Restrictions on Distance Runners' Training Habits Using Wearable Trackers. Frontiers in Sports and Active Living 2022;3
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Lacey A, Whyte E, O’Keeffe S, O’Connor S, Moran K, Mourot L. A qualitative examination of the factors affecting the adoption of injury focused wearable technologies in recreational runners. PLOS ONE 2022;17(7):e0265475
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Mayne RS, Bleakley CM, Matthews M. Use of monitoring technology and injury incidence among recreational runners: a cross-sectional study. BMC Sports Science, Medicine and Rehabilitation 2021;13(1)
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Singh N, Misra R, Singh S, Rana NP, Khorana S. Assessing the factors that influence the adoption of healthcare wearables by the older population using an extended PMT model. Technology in Society 2022;71:102126
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Pal D, Funilkul S, Papasratorn B. Antecedents of Trust and the Continuance Intention in IoT-Based Smart Products: The Case of Consumer Wearables. IEEE Access 2019;7:184160
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Byun H, Chiu W, Won D. The Voice from Users of Running Applications: An Analysis of Online Reviews Using Leximancer. Journal of Theoretical and Applied Electronic Commerce Research 2023;18(1):173
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Alexander J, Sovakova M, Rena G. Factors affecting resting heart rate in free-living healthy humans. DIGITAL HEALTH 2022;8:205520762211290
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Cloosterman KLA, Fokkema T, de Vos R, van Oeveren B, Bierma-Zeinstra SMA, van Middelkoop M. Feasibility and usability of GPS data in exploring associations between training load and running-related knee injuries in recreational runners. BMC Sports Science, Medicine and Rehabilitation 2022;14(1)
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Vorlíček M, Stewart T, Schipperijn J, Burian J, Rubín L, Dygrýn J, Mitáš J, Duncan S. Smart Watch Versus Classic Receivers: Static Validity of Three GPS Devices in Different Types of Built Environments. Sensors 2021;21(21):7232
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Pal D, Vanijja V, Arpnikanondt C, Zhang X, Papasratorn B. A Quantitative Approach for Evaluating the Quality of Experience of Smart-Wearables From the Quality of Data and Quality of Information: An End User Perspective. IEEE Access 2019;7:64266
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Benson LC, Räisänen AM, Clermont CA, Ferber R. Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis. Sensors 2022;22(5):1722
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Mertala P, Palsa L. Running free: recreational runners’ reasons for non-use of digital sports technology. Sport in Society 2024;27(3):329
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Palsa L, Mertala P. Contextualizing Everyday Data Literacies: The Case of Recreational Runners. International Journal of Human–Computer Interaction 2023;:1
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Volkova V, Ferber R, Pasanen K, Kenny S. Perceptions and Attitudes Toward the Use of Wearable Technology in the Dance Studio Environment. Journal of Dance Medicine & Science 2023;27(4):241
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Kiernan D, Katzman ZD, Hawkins DA, Christiansen BA. A 0.05 m Change in Inertial Measurement Unit Placement Alters Time and Frequency Domain Metrics during Running. Sensors 2024;24(2):656
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Van Hooren B, Plasqui G, Meijer K. The Effect of Wearable-Based Real-Time Feedback on Running Injuries and Running Performance: A Randomized Controlled Trial. The American Journal of Sports Medicine 2024;52(3):750
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Mikoś M, Kazmierski K, Wachulec N, Sośnica K. Accuracy of satellite positioning using GNSS receivers in sports watches. Measurement 2024;229:114426
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Thomas M, Boursalie O, Samavi R, Doyle TE. Data-driven approach to quantify trust in medical devices using Bayesian networks. Experimental Biology and Medicine 2023;248(24):2578
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Chowdhary K, Crockett Z, Chua J, Soo Hoo J. Exploring the Relationship between Running-Related Technology Use and Running-Related Injuries: A Cross-Sectional Study of Recreational and Elite Long-Distance Runners. Healthcare 2024;12(6):642
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.6395):
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Thomas M, Boursalie O, Samavi R, Doyle TE. Artificial Intelligence for Personalized Medicine. 2023. Chapter 8:95
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