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Citing this Article

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Published on 19.03.19 in Vol 21, No 3 (2019): March

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

Works citing "Can Smartphone Apps Increase Physical Activity? Systematic Review and Meta-Analysis"

According to Crossref, the following articles are citing this article (DOI 10.2196/12053):

(note that this is only a small subset of citations)

  1. Sohaib Aslam A, van Luenen S, Aslam S, van Bodegom D, Chavannes NH. A systematic review on the use of mHealth to increase physical activity in older people. Clinical eHealth 2020;3:31
    CrossRef
  2. Yang X, Ma L, Zhao X, Kankanhalli A. Factors influencing user’s adherence to physical activity applications: A scoping literature review and future directions. International Journal of Medical Informatics 2020;134:104039
    CrossRef
  3. Wibowo RA, Kelly P, Baker G. The effect of smartphone application interventions on physical activity level among university/college students: a systematic review protocol. Physical Therapy Reviews 2020;:1
    CrossRef
  4. Fischer T, Stumpf P, Reinhardt G, Schwarz PEH, Timpel P. Video-based smartphone app (‘VIDEA bewegt’) for physical activity support in German adults: a study protocol for a single-armed observational study. BMJ Open 2020;10(3):e034027
    CrossRef
  5. Stuber JM, Mackenbach JD, de Boer FE, de Bruijn G, Gillebaart M, Harbers MC, Hoenink JC, Klein MCA, Middel CNH, van der Schouw YT, Schuitmaker-Warnaar TJ, Velema E, Vos AL, Waterlander WE, Lakerveld J, Beulens JWJ. Reducing cardiometabolic risk in adults with a low socioeconomic position: protocol of the Supreme Nudge parallel cluster-randomised controlled supermarket trial. Nutrition Journal 2020;19(1)
    CrossRef
  6. Busch L, Utesch T, Bürkner P, Strauss B. The Influence of Fitness-App Usage on Psychological Well-Being and Body Awareness—A Daily Diary Randomized Trial. Journal of Sport and Exercise Psychology 2020;42(3):249
    CrossRef
  7. 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
    CrossRef
  8. Harzheim E, de Almeida Faller L, D’Avila OP, Matturro L, Pedebôs L. Physical activity: a (mobile) call to action. BMJ 2020;:m316
    CrossRef
  9. Young SD. The Adaptive Behavioral Components (ABC) Model for Planning Longitudinal Behavioral Technology-Based Health Interventions: A Theoretical Framework. Journal of Medical Internet Research 2020;22(6):e15563
    CrossRef
  10. 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)
    CrossRef
  11. Ng K, Kokko S, Tammelin T, Kallio J, Belton S, O'Brien W, Murphy M, Powell C, Woods C. Clusters of adolescent physical activity tracker patterns and its associations with physical activity behaviours in Finland and Ireland: A cross-sectional study (Preprint). Journal of Medical Internet Research 2020;
    CrossRef
  12. Kramer J, Künzler F, Mishra V, Smith SN, Kotz D, Scholz U, Fleisch E, Kowatsch T. Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial. Annals of Behavioral Medicine 2020;54(7):518
    CrossRef
  13. Pallejà-Millán M, Rey-Reñones C, Barrera Uriarte ML, Granado-Font E, Basora J, Flores-Mateo G, Duch J. Evaluation of the Tobbstop Mobile App for Smoking Cessation: Cluster Randomized Controlled Clinical Trial. JMIR mHealth and uHealth 2020;8(6):e15951
    CrossRef
  14. Arigo D, Brown MM, Pasko K, Suls J. Social Comparison Features in Physical Activity Promotion Apps: Scoping Meta-Review. Journal of Medical Internet Research 2020;22(3):e15642
    CrossRef
  15. Tavares BF, Pires IM, Marques G, Garcia NM, Zdravevski E, Lameski P, Trajkovik V, Jevremovic A. Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Information 2020;11(7):343
    CrossRef
  16. Ek A, Alexandrou C, Söderström E, Bergman P, Delisle Nyström C, Direito A, Eriksson U, Henriksson P, Maddison R, Trolle Lagerros Y, Bendtsen M, Löf M. Effectiveness of a 3-Month Mobile Phone–Based Behavior Change Program on Active Transportation and Physical Activity in Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(6):e18531
    CrossRef
  17. Broers ER, Widdershoven J, Denollet J, Lodder P, Kop WJ, Wetzels M, Ayoola I, Piera-Jimenez J, Habibović M. Personalized eHealth Program for Life-style Change. Psychosomatic Medicine 2020;82(4):409
    CrossRef
  18. Moon SJ, Hwang J, Hill HS, Kervin R, Birtwell KB, Torous J, McDougle CJ, Kim JW. Mobile device applications and treatment of autism spectrum disorder: a systematic review and meta-analysis of effectiveness. Archives of Disease in Childhood 2020;105(5):458
    CrossRef
  19. Mizdrak A, Telfer K, Direito A, Cobiac LJ, Blakely T, Cleghorn CL, Wilson N. Health Gain, Cost Impacts, and Cost-Effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Physical Activity: Modeling Study. JMIR mHealth and uHealth 2020;8(6):e18014
    CrossRef
  20. Nurmi J, Knittle K, Ginchev T, Khattak F, Helf C, Zwickl P, Castellano-Tejedor C, Lusilla-Palacios P, Costa-Requena J, Ravaja N, Haukkala A. Engaging Users in the Behavior Change Process With Digitalized Motivational Interviewing and Gamification: Development and Feasibility Testing of the Precious App. JMIR mHealth and uHealth 2020;8(1):e12884
    CrossRef
  21. Huberty J, Eckert R, Puzia M, Laird B, Larkey L, Mesa R. A novel educational control group mobile application to be used in mobile application meditation interventions: A Feasibility Study (Preprint). JMIR Formative Research 2020;
    CrossRef
  22. Patel MS, Small DS, Harrison JD, Fortunato MP, Oon AL, Rareshide CAL, Reh G, Szwartz G, Guszcza J, Steier D, Kalra P, Hilbert V. Effectiveness of Behaviorally Designed Gamification Interventions With Social Incentives for Increasing Physical Activity Among Overweight and Obese Adults Across the United States. JAMA Internal Medicine 2019;179(12):1624
    CrossRef
  23. Ding EY, Ensom E, Hafer N, Buchholz B, Picard MA, Dunlap D, Rogers E, Lawton C, Koren A, Lilly C, Fitzgibbons TP, McManus DD. Point-of-care technologies in heart, lung, blood and sleep disorders from the Center for Advancing Point-of-Care Technologies. Current Opinion in Biomedical Engineering 2019;11:58
    CrossRef
  24. Edney S, Ryan JC, Olds T, Monroe C, Fraysse F, Vandelanotte C, Plotnikoff R, Curtis R, Maher C. User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(11):e14645
    CrossRef
  25. Spelt H, Tsiampalis T, Karnaki P, Kouvari M, Zota D, Linos A, Westerink J. Lifestyle E-Coaching for Physical Activity Level Improvement: Short-Term and Long-Term Effectivity in Low Socioeconomic Status Groups. International Journal of Environmental Research and Public Health 2019;16(22):4427
    CrossRef
  26. Holzmann SL, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31
    CrossRef
  27. Tark R, Metelitsa M, Akkermann K, Saks K, Mikkel S, Haljas K. Usability, Acceptability, Feasibility, and Effectiveness of a Gamified Mobile Health Intervention (Triumf) for Pediatric Patients: Qualitative Study. JMIR Serious Games 2019;7(3):e13776
    CrossRef
  28. Petersen JM, Prichard I, Kemps E. A Comparison of Physical Activity Mobile Apps With and Without Existing Web-Based Social Networking Platforms: Systematic Review. Journal of Medical Internet Research 2019;21(8):e12687
    CrossRef
  29. 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
    CrossRef
  30. Dourado V, Gonze B, Simões M, Lauria V, Proença N, Oliveira G, Castro P, Romiti M, Gagliardi A, Arantes R, Padovani R. Use of a Smartphone App to Increase Physical Activity Levels in Insufficiently Active Adults: A Feasibility Sequential Multiple Assignment Randomized Trial (SMART) (Preprint). JMIR Research Protocols 2019;
    CrossRef
  31. Lunde P, Bye A, Bergland A, Nilsson BB. Effects of individualized follow-up with a smartphone-application after cardiac rehabilitation: protocol of a randomized controlled trial. BMC Sports Science, Medicine and Rehabilitation 2019;11(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/12053)

:
  1. Sariyska R, Montag C. Digital Phenotyping and Mobile Sensing. 2019. Chapter 4:45
    CrossRef