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Citing this Article

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Published on 21.11.12 in Vol 14, No 6 (2012): Nov-Dec

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

Works citing "Increasing Physical Activity With Mobile Devices: A Meta-Analysis"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2171):

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

  1. Abrantes AM, Blevins C, Lindsay C, Battle CL, Buman MP, Agu E, Stein M. Formative work in the development of a physical activity smartphone app targeted for patients with alcohol use disorders. Psychology of Sport and Exercise 2019;41:162
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  3. Stiglbauer B, Weber S, Batinic B. Does your health really benefit from using a self-tracking device? Evidence from a longitudinal randomized control trial. Computers in Human Behavior 2019;94:131
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  4. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies. JMIR Diabetes 2019;4(1):e10271
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  5. Tong HL, Coiera E, Tong W, Wang Y, Quiroz JC, Martin P, Laranjo L. Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study. JMIR mHealth and uHealth 2019;7(3):e12181
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  6. Buckingham SA, Williams AJ, Morrissey K, Price L, Harrison J. Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review. DIGITAL HEALTH 2019;5:205520761983988
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  7. Burns R, Pfledderer C, Brusseau T. Active Transport, Not Device Use, Associates with Self-Reported School Week Physical Activity in Adolescents. Behavioral Sciences 2019;9(3):32
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  9. Smith BJ, Owen AJ, Liew D, Kelly DJ, Reid CM. Prescription of physical activity in the management of high blood pressure in Australian general practices. Journal of Human Hypertension 2019;33(1):50
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  10. Davergne T, Pallot A, Dechartres A, Fautrel B, Gossec L. Use of Wearable Activity Trackers to Improve Physical Activity Behavior in Patients With Rheumatic and Musculoskeletal Diseases: A Systematic Review and Meta‐Analysis. Arthritis Care & Research 2019;
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  11. Angellotti E, Wong JB, Pierce A, Hescott B, Pittas AG. Combining Wireless Technology and Behavioral Economics to Engage Patients (WiBEEP) with cardiometabolic disease: a pilot study. Pilot and Feasibility Studies 2019;5(1)
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  12. Lau P, Pitkethly A, Leung B, Lau E, Wang J. The Intervention Effect of SMS Delivery on Chinese Adolescent’s Physical Activity. International Journal of Environmental Research and Public Health 2019;16(5):787
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  13. Gabbiadini A, Greitemeyer T. Fitness mobile apps positively affect attitudes, perceived behavioral control and physical activities. The Journal of Sports Medicine and Physical Fitness 2019;59(3)
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  14. Lepp A, Barkley JE. Cell phone use predicts being an “active couch potato”: results from a cross-sectional survey of sufficiently active college students. DIGITAL HEALTH 2019;5:205520761984487
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  15. Feter N, dos Santos TS, Caputo EL, da Silva MC. What is the role of smartphones on physical activity promotion? A systematic review and meta-analysis. International Journal of Public Health 2019;
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  16. Lee AM, Chavez S, Bian J, Thompson LA, Gurka MJ, Williamson VG, Modave F. Efficacy and Effectiveness of Mobile Health Technologies for Facilitating Physical Activity in Adolescents: Scoping Review. JMIR mHealth and uHealth 2019;7(2):e11847
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  17. Lizandra J, Devís-Devís J, Valencia-Peris A, Tomás JM, Peiró-Velert C. Screen time and moderate-to-vigorous physical activity changes and displacement in adolescence: A prospective cohort study. European Journal of Sport Science 2019;19(5):686
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  18. Faria GS, Polese JC, Ribeiro-Samora GA, Scianni AA, Faria CD, Teixeira-Salmela LF. Validity of the accelerometer and smartphone application in estimating energy expenditure in individuals with chronic stroke. Brazilian Journal of Physical Therapy 2019;23(3):236
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  19. Kiss N, Baguley BJ, Ball K, Daly RM, Fraser SF, Granger CL, Ugalde A. Technology-Supported Self-Guided Nutrition and Physical Activity Interventions for Adults With Cancer: Systematic Review. JMIR mHealth and uHealth 2019;7(2):e12281
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  20. Choi H, Van Riper M. mHealth family adaptation intervention for families of young children with Down syndrome: A feasibility study. Journal of Pediatric Nursing 2019;
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  21. Downs DS, Smyth JM, Heron KE, Feinberg ME, Hillemeier M, Materia FT. Beliefs About Using Smartphones for Health Behavior Change: an Elicitation Study with Overweight and Obese Rural Women. Journal of Technology in Behavioral Science 2019;4(1):33
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  22. Fennell C, Barkley JE, Lepp A. The relationship between cell phone use, physical activity, and sedentary behavior in adults aged 18–80. Computers in Human Behavior 2019;90:53
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  23. Lee BJ, Park YH, Lee JY, Kim SJ, Jang Y, Lee JI. Smartphone Application Versus Pedometer to Promote Physical Activity in Prostate Cancer Patients. Telemedicine and e-Health 2019;
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  24. Phillips SM, Courneya KS, Welch WA, Gavin KL, Cottrell A, Nielsen A, Solk P, Blanch-Hartigan D, Cella D, Ackermann RT, Spring B, Penedo F. Breast cancer survivors’ preferences for mHealth physical activity interventions: findings from a mixed methods study. Journal of Cancer Survivorship 2019;13(2):292
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  25. Smit ES, Bol N. From self-reliers to expert-dependents: identifying classes based on health-related need for autonomy and need for external control among mobile users. Media Psychology 2019;:1
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  26. Frei A, Dalla Lana K, Radtke T, Stone E, Knöpfli N, Puhan MA. A novel approach to increase physical activity in older adults in the community using citizen science: a mixed-methods study. International Journal of Public Health 2019;
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  27. Wilaiwan W, Siriwong W. The Healthy e-Elderly People Assessment (HEPA) application. Journal of Health Research 2019;33(1):14
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  28. Yang Q, Van Stee SK. The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review. JMIR mHealth and uHealth 2019;7(4):e11244
    CrossRef
  29. Lee K, Kim H, Lee S, Ha H. Changes in Weight and Health-Related Behavior Using Smartphone Applications in Patients With Colorectal Polyps. Journal of Nutrition Education and Behavior 2019;51(5):539
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  30. Ng KW, Badura P, Dzielska A, Kokko S, Woods CB, Hamrik Z. Test-retest reliability of survey items on ownership and use of physical activity trackers. Acta Gymnica 2019;
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  31. Bol N, Helberger N, Weert JCM. Differences in mobile health app use: A source of new digital inequalities?. The Information Society 2018;34(3):183
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  32. Marcolino MS, Oliveira JAQ, D'Agostino M, Ribeiro AL, Alkmim MBM, Novillo-Ortiz D. The Impact of mHealth Interventions: Systematic Review of Systematic Reviews. JMIR mHealth and uHealth 2018;6(1):e23
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  33. Phillips SM, Collins LM, Penedo FJ, Courneya KS, Welch W, Cottrell A, Lloyd GR, Gavin K, Cella D, Ackermann RT, Siddique J, Spring B. Optimization of a technology-supported physical activity intervention for breast cancer survivors: Fit2Thrive study protocol. Contemporary Clinical Trials 2018;66:9
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  34. Willoughby JF, Liu S. Do pictures help tell the story? An experimental test of narrative and emojis in a health text message intervention. Computers in Human Behavior 2018;79:75
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  36. Robin N, Toussaint L, Coudevylle GR, Ruart S, Hue O, Sinnapah S. Text Messages Promoting Mental Imagery Increase Self-Reported Physical Activity in Older Adults: A Randomized Controlled Study. Journal of Aging and Physical Activity 2018;26(3):462
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  37. Zsila , Orosz G, Bőthe B, Tóth-Király I, Király O, Griffiths M, Demetrovics Z. An empirical study on the motivations underlying augmented reality games: The case of Pokémon Go during and after Pokémon fever. Personality and Individual Differences 2018;133:56
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  38. Eckerstorfer LV, Tanzer NK, Vogrincic-Haselbacher C, Kedia G, Brohmer H, Dinslaken I, Corcoran K. Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression. JMIR mHealth and uHealth 2018;6(11):e10076
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  39. Tong HL, Laranjo L. The use of social features in mobile health interventions to promote physical activity: a systematic review. npj Digital Medicine 2018;1(1)
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  40. Mira JJ. Tecnologías móviles e inalámbricas para cuidar nuestra salud. Journal of Healthcare Quality Research 2018;33(4):183
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  42. de Korte EM, Wiezer N, Janssen JH, Vink P, Kraaij W. Evaluating an mHealth App for Health and Well-Being at Work: Mixed-Method Qualitative Study. JMIR mHealth and uHealth 2018;6(3):e72
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  43. Kim J, Chen S, Hwang S. Effectiveness of Web-based physical activity interventions for older adults: A systematic review of randomized controlled trials. INTERNATIONAL JOURNAL OF HUMAN MOVEMENT SCIENCE 2018;12(2):69
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  44. Braumüller B. Sportbezogenes Handeln in virtuellen sozialen Netzwerken. German Journal of Exercise and Sport Research 2018;48(1):79
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  45. Nam J, Kim H. How assistive devices affect activities of daily living and cognitive functions of people with brain injury: a meta-analysis. Disability and Rehabilitation: Assistive Technology 2018;13(3):305
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  46. Cabrita M, op den Akker H, Tabak M, Hermens HJ, Vollenbroek-Hutten MM. Persuasive technology to support active and healthy ageing: An exploration of past, present, and future. Journal of Biomedical Informatics 2018;84:17
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  47. Chen M, Lin N. Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions. Internet Research 2018;28(2):351
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  48. Paul L, Campbell E, Gray C, Brewster S, Ramsay A, Gill JM, McFadyen A, Dybus A. Increasing physical activity in stroke survivors using STARFISH, an interactive smartphone application: Protocol for a randomised controlled trial. Technology and Disability 2018;30(1-2):77
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  49. Zhou M, Fukuoka Y, Mintz Y, Goldberg K, Kaminsky P, Flowers E, Aswani A. Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(1):e28
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  50. Wan N, Wen M, Fan JX, Tavake-Pasi OF, McCormick S, Elliott K, Nicolosi E. Physical Activity Barriers and Facilitators Among US Pacific Islanders and the Feasibility of Using Mobile Technologies for Intervention: A Focus Group Study With Tongan Americans. Journal of Physical Activity and Health 2018;15(4):287
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  51. Song D, Yu DS, Li PW, Lei Y. The effectiveness of physical exercise on cognitive and psychological outcomes in individuals with mild cognitive impairment: A systematic review and meta-analysis. International Journal of Nursing Studies 2018;79:155
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  52. Pfirrmann D, Haller N, Huber Y, Jung P, Lieb K, Gockel I, Poplawska K, Schattenberg JM, Simon P. Applicability of a Web-Based, Individualized Exercise Intervention in Patients With Liver Disease, Cystic Fibrosis, Esophageal Cancer, and Psychiatric Disorders: Process Evaluation of 4 Ongoing Clinical Trials. JMIR Research Protocols 2018;7(5):e106
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  53. Mendelson M, Bailly S, Marillier M, Flore P, Borel JC, Vivodtzev I, Doutreleau S, Verges S, Tamisier R, Pépin J. Obstructive Sleep Apnea Syndrome, Objectively Measured Physical Activity and Exercise Training Interventions: A Systematic Review and Meta-Analysis. Frontiers in Neurology 2018;9
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  54. Wang C, Chaovalit P, Pongnumkul S. A Breastfeed-Promoting Mobile App Intervention: Usability and Usefulness Study. JMIR mHealth and uHealth 2018;6(1):e27
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  55. Lynch EA, Jones TM, Simpson DB, Fini NA, Kuys SS, Borschmann K, Kramer S, Johnson L, Callisaya ML, Mahendran N, Janssen H, English C. Activity monitors for increasing physical activity in adult stroke survivors. Cochrane Database of Systematic Reviews 2018;
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  56. Msetfi R, O'Sullivan D, Walsh A, Nelson J, Van de Ven P. Using Mobile Phones to Examine and Enhance Perceptions of Control in Mildly Depressed and Nondepressed Volunteers: Intervention Study. JMIR mHealth and uHealth 2018;6(11):e10114
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  57. König LM, Sproesser G, Schupp HT, Renner B. Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach. JMIR mHealth and uHealth 2018;6(3):e55
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  58. Duff O, Walsh D, Malone S, McDermott L, Furlong B, O'Connor N, Moran K, Woods C. MedFit App, a Behavior-Changing, Theoretically Informed Mobile App for Patient Self-Management of Cardiovascular Disease: User-Centered Development. JMIR Formative Research 2018;2(1):e8
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  59. Escoffery C, McGee R, Bidwell J, Sims C, Thropp EK, Frazier C, Mynatt ED. A review of mobile apps for epilepsy self-management. Epilepsy & Behavior 2018;81:62
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  63. Liu H, Lee W, Sun Y, Fen J, Chen T, Chou L, Hwang S. Hospital-Owned Apps in Taiwan: Nationwide Survey. JMIR mHealth and uHealth 2018;6(1):e22
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  65. Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. A Smartphone App to Promote an Active Lifestyle in Lower-Educated Working Young Adults: Development, Usability, Acceptability, and Feasibility Study. JMIR mHealth and uHealth 2018;6(2):e44
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