Published on in Vol 7, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12181, first published .
Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study

Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study

Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study

Journals

  1. Benítez-Andrades J, Arias N, García-Ordás M, Martínez-Martínez M, García-Rodríguez I. Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children. Sensors 2020;20(5):1404 View
  2. Haque M, Kangas M, Jämsä T. Feasibility of a Persuasive mHealth Behavioural Change Intervention in Promoting Physical Activity in the Workplace (Preprint). JMIR Formative Research 2019 View
  3. Spaulding E, Marvel F, Piasecki R, Martin S, Allen J. User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review. JMIR Cardio 2021;5(1):e18834 View
  4. Wong R, Yu E, Wong T, Fung C, Choi C, Or C, Liu K, Wong C, Ip P, Lam C. Development and pilot evaluation of a mobile app on parent-child exercises to improve physical activity and psychosocial outcomes of Hong Kong Chinese children. BMC Public Health 2020;20(1) View
  5. Laranjo L, Quiroz J, Tong H, Arevalo Bazalar M, Coiera E. A Mobile Social Networking App for Weight Management and Physical Activity Promotion: Results From an Experimental Mixed Methods Study. Journal of Medical Internet Research 2020;22(12):e19991 View
  6. Amann J, Fiordelli M, Scheel-Sailer A, Brach M, Rubinelli S. Opportunities and Challenges of a Self-Management App to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Qualitative Study. JMIR mHealth and uHealth 2020;8(12):e22452 View
  7. Benavides C, Benítez-Andrades J, Marqués-Sánchez P, Arias N. eHealth Intervention to Improve Health Habits in the Adolescent Population: Mixed Methods Study. JMIR mHealth and uHealth 2021;9(2):e20217 View
  8. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429 View
  9. Sultoni K, Peralta L, Cotton W. Technology-Supported University Courses for Increasing University Students’ Physical Activity Levels: A Systematic Review and Set of Design Principles for Future Practice. International Journal of Environmental Research and Public Health 2021;18(11):5947 View
  10. Tong H, Quiroz J, Kocaballi A, Ijaz K, Coiera E, Chow C, Laranjo L. A personalized mobile app for physical activity: An experimental mixed-methods study. DIGITAL HEALTH 2022;8:205520762211150 View
  11. Yang Y, Boulton E, Todd C. Measurement of Adherence to mHealth Physical Activity Interventions and Exploration of the Factors That Affect the Adherence: Scoping Review and Proposed Framework. Journal of Medical Internet Research 2022;24(6):e30817 View
  12. Sultoni K, Peralta L, Cotton W, Abdelbasset W. Using a design-based research approach to develop a technology-supported physical education course to increase the physical activity levels of university students: Study protocol paper. PLOS ONE 2022;17(12):e0269759 View
  13. Oakley-Girvan I, Yunis R, Longmire M, Ouillon J. What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review. Telemedicine and e-Health 2021 View
  14. Günther L, Schleberger S, Pischke C. Effectiveness of Social Media-Based Interventions for the Promotion of Physical Activity: Scoping Review. International Journal of Environmental Research and Public Health 2021;18(24):13018 View
  15. Fernández-Rivas M, Espada M, De las Heras Fernández R. La satisfacción del alumnado hacia la utilización de los códigos QR para el aprendizaje de la danza en Educación Física. Contextos Educativos. Revista de Educación 2022;(30):117 View
  16. Hermsen S, Van Abswoude F, Steenbergen B. The Effect of Social Networks on Active Living in Adolescents: Qualitative Focus Group Study. JMIR Formative Research 2023;7:e46350 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. Shah N, Borrelli B, Kumar D. Perceptions about smartphone-based interventions to promote physical activity in inactive adults with knee pain – A qualitative study. Disability and Rehabilitation: Assistive Technology 2023:1 View
  19. Berbeka J, Borodako K, Rudnicki M, Łapczyński M. The role of mobile fitness applications in student leisure activities. Journal of Leisure Research 2023;54(5):519 View
  20. Wang H, Demerouti E, Rispens S, van Gool P. Crafting networks: A self-training intervention. Journal of Vocational Behavior 2024;149:103956 View
  21. Mendoza K, Villalobos-Daniel V, Jáuregui A, Valero-Morales I, Hernández-Alcaraz C, Zacarías-Alejandro N, Alarcon-Guevara R, Barquera S. Development of a crowdsourcing- and gamification-based mobile application to collect epidemiological information and promote healthy lifestyles in Mexico. Scientific Reports 2024;14(1) View
  22. Moorthy P, Weinert L, Schüttler C, Svensson L, Sedlmayr B, Müller J, Nagel T. Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review. JMIR mHealth and uHealth 2024;12:e52179 View
  23. Adasme A, Del Arco Bravo I, Mercadé Melé P. Uso de las redes sociales para mejorar la adherencia hacia la actividad física en estudiantes de 10 a 14 años de una escuela pública de Arica, Chile. Revista Iberoamericana de Ciencias de la Actividad Física y el Deporte 2024;13(1):50 View
  24. Zhu Y, Long Y, Wang H, Lee K, Zhang L, Wang S. Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review. Journal of Medical Internet Research 2024;26:e54375 View