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

Wearables and MHealth Reviews (273)

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

Authors of this article:

Lisa V. Eckerstorfer1 Author Orcid Image ;   Norbert K. Tanzer1 Author Orcid Image ;   Claudia Vogrincic-Haselbacher1 Author Orcid Image ;   Gayannee Kedia1 Author Orcid Image ;   Hilmar Brohmer1 Author Orcid Image ;   Isabelle Dinslaken1 Author Orcid Image ;   Katja Corcoran1, 2 Author Orcid Image
Article Authors Cited by (52) Tweetations (27) Metrics

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
  20. Nuijten R, Van Gorp P, Khanshan A, Le Blanc P, van den Berg P, Kemperman A, Simons M. Evaluating the Impact of Adaptive Personalized Goal Setting on Engagement Levels of Government Staff With a Gamified mHealth Tool: Results From a 2-Month Randomized Controlled Trial. JMIR mHealth and uHealth 2022;10(3):e28801 View
  21. Lawrason S, Brown-Ganzert L, Campeau L, MacInnes M, Wilkins C, Martin Ginis K. mHealth Physical Activity Intervention for Individuals With Spinal Cord Injury: Planning and Development Processes. JMIR Formative Research 2022;6(8):e34303 View
  22. Herold F, Theobald P, Gronwald T, Rapp M, Müller N. Going digital – a commentary on the terminology used at the intersection of physical activity and digital health. European Review of Aging and Physical Activity 2022;19(1) View
  23. Creaser A, Hall J, Costa S, Bingham D, Clemes S. Exploring Families’ Acceptance of Wearable Activity Trackers: A Mixed-Methods Study. International Journal of Environmental Research and Public Health 2022;19(6):3472 View
  24. Lee Y, Choi S, Jung H. Self-Care Mobile Application for South Korean Pregnant Women at Work: Development and Usability Study. Risk Management and Healthcare Policy 2022;Volume 15:997 View
  25. Bates G. Complex interventions. International Review of Sport and Exercise Psychology 2022;15(1):30 View
  26. Gorny A, Chee W, Müller-Riemenschneider F. Active Use and Engagement in an mHealth Initiative Among Young Men With Obesity: Mixed Methods Study. JMIR Formative Research 2022;6(1):e33798 View
  27. Lau E, Mitchell M, Faulkner G. Long-term usage of a commercial mHealth app: A “multiple-lives” perspective. Frontiers in Public Health 2022;10 View
  28. Nuijten R, Van Gorp P, Khanshan A, Le Blanc P, Kemperman A, van den Berg P, Simons M. Health Promotion through Monetary Incentives: Evaluating the Impact of Different Reinforcement Schedules on Engagement Levels with a mHealth App. Electronics 2021;10(23):2935 View
  29. Michalsen H, Wangberg S, Hartvigsen G, Henriksen A, Pettersen G, Jaccheri L, Jahnsen R, Thrane G, Arntzen C, Anke A. mHealth Support to Stimulate Physical Activity in Individuals With Intellectual Disability: Protocol for a Mixed Methods Pilot Study. JMIR Research Protocols 2022;11(9):e37849 View
  30. Liu S, La H, Willms A, Rhodes R. A “No-Code” App Design Platform for Mobile Health Research: Development and Usability Study. JMIR Formative Research 2022;6(8):e38737 View
  31. Li J, Szanton S, McPhillips M, Lukkahatai N, Pien G, Chen K, Hladek M, Hodgson N, Gooneratne N. An mHealth-Facilitated Personalized Intervention for Physical Activity and Sleep in Community-Dwelling Older Adults. Journal of Aging and Physical Activity 2022;30(2):261 View
  32. Yoon S, Kwan Y, Phang J, Tan W, Low L. Personal Goals, Barriers to Self-Management and Desired mHealth Application Features to Improve Self-Care in Multi-Ethnic Asian Patients with Type 2 Diabetes: A Qualitative Study. International Journal of Environmental Research and Public Health 2022;19(22):15415 View
  33. Kracht C, Hutchesson M, Ahmed M, Müller A, Ashton L, Brown H, DeSmet A, Maher C, Mauch C, Vandelanotte C, Yin Z, Whatnall M, Short C, Staiano A. E‐&mHealth interventions targeting nutrition, physical activity, sedentary behavior, and/or obesity among children: A scoping review of systematic reviews and meta‐analyses. Obesity Reviews 2021;22(12) View
  34. Nuijten R, Van Gorp P, Hietbrink J, Le Blanc P, Kemperman A, van den Berg P, Simons M. Pilot Evaluation of the Impact of Lottery-Based Incentives on Engagement Levels of Male Low SES Vocational Students With an mHealth App. Frontiers in Digital Health 2022;3 View
  35. 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
  36. Nuijten R, Van Gorp P. SciModeler: A Toolbox for Consolidating Scientific Knowledge within the Field of Health Behavior Change. SN Computer Science 2022;4(1) View
  37. Jung J, Cho I. Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2022;10(1):e30682 View
  38. Arigo D, König L. Examining reactivity to the measurement of physical activity and sedentary behavior among women in midlife with elevated risk for cardiovascular disease. Psychology & Health 2024;39(3):319 View
  39. Stecher C, Pfisterer B, Harden S, Epstein D, Hirschmann J, Wunsch K, Buman M. Assessing the Pragmatic Nature of Mobile Health Interventions Promoting Physical Activity: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2023;11:e43162 View
  40. Tobin M, Jones T, Ho Y, Short C. Using photovoice to explore young women’s experiences of behaviour change techniques in physical activity mobile apps. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  41. Yan X, Newman M, Park S, Sander A, Choi S, Miner J, Wu Z, Carlozzi N. Identifying Design Opportunities for Adaptive mHealth Interventions That Target General Well-Being: Interview Study With Informal Care Partners. JMIR Formative Research 2023;7:e47813 View
  42. Moraitis A, Rose N, Johnson A, Dunston E, Garrido-Laguna I, Hobson P, Barber K, Basen-Engquist K, Coletta A, Ummarino D. Feasibility and acceptability of an mHealth, home-based exercise intervention in colorectal cancer survivors: A pilot randomized controlled trial. PLOS ONE 2023;18(6):e0287152 View
  43. Lieder F, Chen P, Prentice M, Amo V, Tošić M. Gamification of Behavior Change: Mathematical Principle and Proof-of-Concept Study. JMIR Serious Games 2024;12:e43078 View
  44. Oba T, Takano K, Katahira K, Kimura K. Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey. JMIR mHealth and uHealth 2023;11:e49148 View
  45. Thøgersen-Ntoumani C, Grunseit A, Holtermann A, Steiner S, Tudor-Locke C, Koster A, Johnson N, Maher C, Ahmadi M, Chau J, Stamatakis E. Promoting vigorous intermittent lifestyle physical activity (vilpa) in middle-aged adults: an evaluation of the movsnax mobile app. BMC Public Health 2024;24(1) View
  46. Van Stee S, Yang Q, Falcone M. Health Behavior Change Interventions Using Mobile Phones: A Meta-Analysis. Health Communication 2024:1 View
  47. Grotto G, Martinello M, Buja A. Use of mHealth Technologies to Increase Sleep Quality among Older Adults: A Scoping Review. Clocks & Sleep 2024;6(3):517 View
  48. Konishi N, Oba T, Takano K, Katahira K, Kimura K. What Functions of Smartphone Apps and Wearable Devices Promote Physical Activity?: Six-Month Longitudinal Study on Japanese-Speaking Adults (Preprint). JMIR mHealth and uHealth 2024 View
  49. Sanders J, Daley A, Esliger D, Roalfe A, Colda A, Turner J, Hajdu S, Potter A, Humayun A, Spiliotis I, Reckless I, Mytton O. Effectiveness of a digital health and financial incentive intervention to promote physical activity in patients with type 2 diabetes: study protocol for a randomised controlled trial with a nested qualitative study—ACTIVATE trial. Trials 2024;25(1) View
  50. Brons A, Wang S, Visser B, Kröse B, Bakkes S, Veltkamp R. Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview. Journal of Medical Internet Research 2024;26:e47774 View

Books/Policy Documents

  1. Van Stee S. The International Encyclopedia of Health Communication. View
  2. James L, Maessen M, Genga L, Montagne B, Hagenaars M, Van Gorp P. Pervasive Computing Technologies for Healthcare. View