Published on in Vol 6, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10076, first published .
Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression

Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression

Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression

Journals

  1. Aromatario O, Van Hoye A, Vuillemin A, Foucaut A, Crozet C, Pommier J, Cambon L. How do mobile health applications support behaviour changes? A scoping review of mobile health applications relating to physical activity and eating behaviours. Public Health 2019;175:8 View
  2. Smith D, Duque L, Huffman J, Healy B, Celano C. Text Message Interventions for Physical Activity: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2020;58(1):142 View
  3. Halse R, Shoneye C, Pollard C, Jancey J, Scott J, Pratt I, Dhaliwal S, Norman R, Straker L, Boushey C, Delp E, Zhu F, Harray A, Szybiak M, Finch A, McVeigh J, Mullan B, Collins C, Mukhtar S, Edwards K, Healy J, Kerr D. Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the Tailored Diet and Activity (ToDAy) Randomized Controlled Trial. JMIR Research Protocols 2019;8(2):e12782 View
  4. Hamamatsu Y, Ide H, Kakinuma M, Furui Y. Maintaining Physical Activity Level Through Team-Based Walking With a Mobile Health Intervention: Cross-Sectional Observational Study. JMIR mHealth and uHealth 2020;8(7):e16159 View
  5. Zong W, Zhang J. Use of smartphone applications and its impacts on urban life: A survey and random forest analysis in Japan. Sustainable Cities and Society 2019;49:101589 View
  6. Villinger K, Wahl D, Boeing H, Schupp H, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465 View
  7. Chia G, Anderson A, McLean L. Behavior Change Techniques Incorporated in Fitness Trackers: Content Analysis. JMIR mHealth and uHealth 2019;7(7):e12768 View
  8. Ehn M, Johansson A, Revenäs Å. Technology-Based Motivation Support for Seniors’ Physical Activity—A Qualitative Study on Seniors’ and Health Care Professionals’ Views. International Journal of Environmental Research and Public Health 2019;16(13):2418 View
  9. Agarwal P, Kithulegoda N, Bouck Z, Bosiak B, Birnbaum I, Reddeman L, Steiner L, Altman L, Mawson R, Propp R, Thornton J, Ivers N. Feasibility of an Electronic Health Tool to Promote Physical Activity in Primary Care: Pilot Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(2):e15424 View
  10. Frygner-Holm S, Åsenlöf P, Ljungman G, Söderlund A. Physical therapists’ experiences of learning and delivering a complex behavioral medicine intervention to adolescents with pain. Physiotherapy Theory and Practice 2021;37(5):583 View
  11. Sporrel K, Nibbeling N, Wang S, Ettema D, Simons M. Unraveling Mobile Health Exercise Interventions for Adults: Scoping Review on the Implementations and Designs of Persuasive Strategies. JMIR mHealth and uHealth 2021;9(1):e16282 View
  12. Li I, Bui T, Phan H, Llado A, King C, Scrivener K. App-based supplemental exercise in rehabilitation, adherence, and effect on outcomes: a randomized controlled trial. Clinical Rehabilitation 2020;34(8):1083 View
  13. Jiménez-Reguera B, Maroto López E, Fitch S, Juarros L, Sánchez Cortés M, Rodríguez Hermosa J, Calle Rubio M, Hernández Criado M, López M, Angulo-Díaz-Parreño S, Martín-Pintado-Zugasti A, Vilaró J. Development and Preliminary Evaluation of the Effects of an mHealth Web-Based Platform (HappyAir) on Adherence to a Maintenance Program After Pulmonary Rehabilitation in Patients With Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e18465 View
  14. O’Shea O, Woods C, McDermott L, Buys R, Cornelis N, Claes J, Cornelissen V, Gallagher A, Newton H, Moyna N, McCaffrey N, Susta D, McDermott C, McCormack C, Budts W, Moran K, Tu W. A qualitative exploration of cardiovascular disease patients’ views and experiences with an eHealth cardiac rehabilitation intervention: The PATHway Project. PLOS ONE 2020;15(7):e0235274 View
  15. Sporrel K, De Boer R, Wang S, Nibbeling N, Simons M, Deutekom M, Ettema D, Castro P, Dourado V, Kröse B. The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining. Frontiers in Public Health 2021;8 View
  16. Lewis Z, Cannon M, Rubio G, Swartz M, Lyons E. Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors. Technologies 2020;8(4):75 View
  17. Liew S, Gorny A, Tan C, Müller-Riemenschneider F. A Mobile Health Team Challenge to Promote Stepping and Stair Climbing Activities: Exploratory Feasibility Study. JMIR mHealth and uHealth 2020;8(2):e12665 View
  18. Creaser A, Clemes S, Costa S, Hall J, Ridgers N, Barber S, Bingham D. The Acceptability, Feasibility, and Effectiveness of Wearable Activity Trackers for Increasing Physical Activity in Children and Adolescents: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(12):6211 View
  19. 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