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

mHealth for Wellness, Behavior Change and Prevention (2872) Innovations and Technology for Physical Activity Education (742) Behavior Change (712)

Published on in Vol 7, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12445, first published .
Physical Activity Behavior Change Driven by Engagement With an Incentive-Based App: Evaluating the Impact of Sweatcoin

Physical Activity Behavior Change Driven by Engagement With an Incentive-Based App: Evaluating the Impact of Sweatcoin

Physical Activity Behavior Change Driven by Engagement With an Incentive-Based App: Evaluating the Impact of Sweatcoin

Authors of this article:

Mark Elliott1, 2 Author Orcid Image ;   Felicia Eck1, 2 Author Orcid Image ;   Egor Khmelev2 Author Orcid Image ;   Anton Derlyatka2 Author Orcid Image ;   Oleg Fomenko2 Author Orcid Image
Article Authors Cited by (20) Tweetations (15) Metrics

Journals

  1. Lortz J, Simanovski J, Kuether T, Kreitschmann-Andermahr I, Ullrich G, Steinmetz M, Rammos C, Jánosi R, Moebus S, Rassaf T, Paldán K. Needs and Requirements in the Designing of Mobile Interventions for Patients With Peripheral Arterial Disease: Questionnaire Study. JMIR Formative Research 2020;4(8):e15669 View
  2. Mitchell M, Lau E, White L, Faulkner G. Commercial app use linked with sustained physical activity in two Canadian provinces: a 12-month quasi-experimental study. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1) View
  3. Wong R, Ho F, Tung K, Fu K, Ip P. Effect of Pokémon Go on Self-Harm Using Population-Based Interrupted Time-Series Analysis: Quasi-Experimental Study. JMIR Serious Games 2020;8(2):e17112 View
  4. Steinmetz M, Rammos C, Rassaf T, Lortz J. Digital interventions in the treatment of cardiovascular risk factors and atherosclerotic vascular disease. IJC Heart & Vasculature 2020;26:100470 View
  5. Robinson A, Slight R, Husband A, Slight S. Designing the Optimal Digital Health Intervention for Patients’ Use Before and After Elective Orthopedic Surgery: Qualitative Study. Journal of Medical Internet Research 2021;23(3):e25885 View
  6. Salloum G, Tekli J. Automated and Personalized Nutrition Health Assessment, Recommendation, and Progress Evaluation using Fuzzy Reasoning. International Journal of Human-Computer Studies 2021;151:102610 View
  7. Jamil F, Kahng H, Kim S, Kim D. Towards Secure Fitness Framework Based on IoT-Enabled Blockchain Network Integrated with Machine Learning Algorithms. Sensors 2021;21(5):1640 View
  8. Hamaya R, Fukuda H, Takebayashi M, Mori M, Matsushima R, Nakano K, Miyake K, Tani Y, Yokokawa H. Effects of an mHealth App (Kencom) With Integrated Functions for Healthy Lifestyles on Physical Activity Levels and Cardiovascular Risk Biomarkers: Observational Study of 12,602 Users. Journal of Medical Internet Research 2021;23(4):e21622 View
  9. Lemola S, Gkiouleka A, Read B, Realo A, Walasek L, Tang N, Elliott M. Can a ‘rewards-for-exercise app’ increase physical activity, subjective well-being and sleep quality? An open-label single-arm trial among university staff with low to moderate physical activity levels. BMC Public Health 2021;21(1) View
  10. Nibbeling N, Simons M, Sporrel K, Deutekom M. A Focus Group Study Among Inactive Adults Regarding the Perceptions of a Theory-Based Physical Activity App. Frontiers in Public Health 2021;9 View
  11. Jamil F, Qayyum F, Alhelaly S, Javed F, Muthanna A. Intelligent Microservice Based on Blockchain for Healthcare Applications. Computers, Materials & Continua 2021;69(2):2513 View
  12. Eshelby V, Sogut M, Jolly K, Vlaev I, Elliott M. Stay home and stay active? The impact of stay-at-home restrictions on physical activity routines in the UK during the COVID-19 pandemic. Journal of Sports Sciences 2022;40(3):310 View
  13. Martínez-Rodríguez A, Martínez-Olcina M, Mora J, Navarro P, Caturla N, Jones J. New App-Based Dietary and Lifestyle Intervention on Weight Loss and Cardiovascular Health. Sensors 2022;22(3):768 View
  14. Castela Forte J, Gannamani R, Folkertsma P, Kumaraswamy S, Mount S, van Dam S, Hoogsteen J. Changes in Blood Lipid Levels After a Digitally Enabled Cardiometabolic Preventive Health Program: Pre-Post Study in an Adult Dutch General Population Cohort. JMIR Cardio 2022;6(1):e34946 View
  15. Ibrahim M, Jamil F, Lee Y, Kim D. Blockchain Based Secured Load Balanced Task Scheduling Approach for Fitness Service. Computers, Materials & Continua 2022;71(2):2599 View
  16. Putzolu M, Manzini V, Gambaro M, Cosentino C, Bonassi G, Botta A, Ravizzotti E, Avanzino L, Pelosin E, Mezzarobba S. Home-based exercise training by using a smartphone app in patients with Parkinson’s disease: a feasibility study. Frontiers in Neurology 2023;14 View
  17. Yfantidou S, Sermpezis P, Vakali A. 14 Years of Self-Tracking Technology for mHealth—Literature Review: Lessons Learned and the PAST SELF Framework. ACM Transactions on Computing for Healthcare 2023;4(3):1 View
  18. McCarthy H, Potts H, Fisher A. Tracked physical activity levels before and after a change in incentive strategy among UK adults using a rewards app: a retrospective quasi-experimental study. (Preprint). JMIR Formative Research 2023 View

Books/Policy Documents

  1. Ulmer T, Baldauf M. Human-Computer Interaction. User Experience and Behavior. View