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

mHealth for Data Collection and Research (770) Innovations and Technology for Physical Activity Education (612) Fitness Trackers and Smart Pedometers/Accelerometers (512) Wearable Devices and Sensors (731) Parent and Child Education on Physical Activity (119)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18320, first published .
Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study

Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study

Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study

Authors of this article:

Yingying Hao 1 Author Orcid Image ;   Xiao-Kai Ma 1 Author Orcid Image ;   Zheng Zhu 1 Author Orcid Image ;   Zhen-Bo Cao 1 Author Orcid Image
Article Authors Cited by (18) Tweetations (8) Metrics

Journals

  1. Zhang H, Zhu M, Li Y, Zhang C, Bie Y, Liu H. Physical activity analysis for the elderly person in free-living conditions. Journal of Intelligent & Fuzzy Systems 2021:1 View
  2. Ulfa M, Setyonugroho W, Lestari T, Widiasih E, Nguyen Quoc A, Schiavo L. Nutrition-Related Mobile Application for Daily Dietary Self-Monitoring. Journal of Nutrition and Metabolism 2022;2022:1 View
  3. Hao Y, Li X, Zhu Z, Cao Z. Pre-sleep Protein Supplementation Affects Energy Metabolism and Appetite in Sedentary Healthy Adults. Frontiers in Nutrition 2022;9 View
  4. Jachymek M, Jachymek M, Kiedrowicz R, Kaźmierczak J, Płońska-Gościniak E, Peregud-Pogorzelska M. Wristbands in Home-Based Rehabilitation—Validation of Heart Rate Measurement. Sensors 2021;22(1):60 View
  5. Bianchetti G, Abeltino A, Serantoni C, Ardito F, Malta D, De Spirito M, Maulucci G. Personalized Self-Monitoring of Energy Balance through Integration in a Web-Application of Dietary, Anthropometric, and Physical Activity Data. Journal of Personalized Medicine 2022;12(4):568 View
  6. Abeltino A, Bianchetti G, Serantoni C, Ardito C, Malta D, De Spirito M, Maulucci G. Personalized Metabolic Avatar: A Data Driven Model of Metabolism for Weight Variation Forecasting and Diet Plan Evaluation. Nutrients 2022;14(17):3520 View
  7. Schmidt M, Rathbun S, Chu Z, Boudreaux B, Hahn L, Novotny E, Johnsen K, Ahn S. Agreement between Fitbit and ActiGraph Estimates of Physical Activity in Young Children. Measurement in Physical Education and Exercise Science 2023;27(2):171 View
  8. O’Brien M. Implications and Recommendations for Equivalence Testing in Measures of Movement Behaviors: A Scoping Review. Journal for the Measurement of Physical Behaviour 2021;4(4):353 View
  9. Viciana J, Casado-Robles C, Guijarro-Romero S, Mayorga-Vega D. Are Wrist-Worn Activity Trackers and Mobile Applications Valid for Assessing Physical Activity in High School Students? Wearfit Study. Journal of Sports Science and Medicine 2022:356 View
  10. Peyer K, Hamilton K. Validity of the Garmin Vivofit Jr. to Measure Physical Activity During a Youth After-School Program. Journal for the Measurement of Physical Behaviour 2022;5(2):61 View
  11. Wang W, Cheng J, Song W, Shen Y. The Effectiveness of Wearable Devices as Physical Activity Interventions for Preventing and Treating Obesity in Children and Adolescents: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e32435 View
  12. Casado-Robles C, Mayorga-Vega D, Guijarro-Romero S, Viciana J. Validity of the Xiaomi Mi Band 2, 3, 4 and 5 Wristbands for Assessing Physical Activity in 12-to-18-Year-Old Adolescents under Unstructured Free-Living Conditions. Fit-Person Study. Journal of Sports Science and Medicine 2023:196 View
  13. Jupe E, Lushington G, Purushothaman M, Pautasso F, Armstrong G, Sorathia A, Crawley J, Nadipelli V, Rubin B, Newhardt R, Munroe M, Adelman B. Tracking of Systemic Lupus Erythematosus (SLE) Longitudinally Using Biosensor and Patient-Reported Data: A Report on the Fully Decentralized Mobile Study to Measure and Predict Lupus Disease Activity Using Digital Signals—The OASIS Study. BioTech 2023;12(4):62 View
  14. Jayasinghe S, Hills A. Strategies to Improve Physical Activity and Nutrition Behaviours in Children and Adolescents: A Review. Nutrients 2023;15(15):3370 View
  15. Milther C, Winther L, Stahlhut M, Curtis D, Aadahl M, Kristensen M, Sørensen J, Dall C. Validation of an accelerometer system for measuring physical activity and sedentary behavior in healthy children and adolescents. European Journal of Pediatrics 2023;182(8):3639 View
  16. Danković G, Stantić T, Herodek R, Stamenković S, Stojiljković N, Jelenković B, Sporiš G. Effects of Commercially Available Wearable Devices on Physical Activity Promotion and Health in Children and Adolescents: Systematic Review. Applied Sciences 2023;13(12):7194 View
  17. Ju F, Wang Y, Yin B, Zhao M, Zhang Y, Gong Y, Jiao C. Microfluidic Wearable Devices for Sports Applications. Micromachines 2023;14(9):1792 View

Books/Policy Documents

  1. Poli A, Cosoli G, Verdenelli L, Scardulla F, D’Acquisto L, Spinsante S, Scalise L. IoT Technologies for Health Care. View