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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. Buchholz SW, Sandi G, Ingram D, Welch MJ, Ocampo EV. Bilingual Text Messaging Translation: Translating Text Messages From English Into Spanish for the Text4Walking Program. JMIR Research Protocols 2015;4(2):e51
    CrossRef
  2. Oldenburg B, Taylor CB, O'Neil A, Cocker F, Cameron LD. Using New Technologies to Improve the Prevention and Management of Chronic Conditions in Populations. Annual Review of Public Health 2015;36(1):483
    CrossRef
  3. . This paper has been temporarily withdrawn. Health Promotion International 2015;
    CrossRef
  4. Gourlan M, Bernard P, Bortolon C, Romain AJ, Lareyre O, Carayol M, Ninot G, Boiché J. Efficacy of theory-based interventions to promote physical activity. A meta-analysis of randomised controlled trials. Health Psychology Review 2015;:1
    CrossRef
  5. Widmer RJ, Collins NM, Collins CS, West CP, Lerman LO, Lerman A. Digital Health Interventions for the Prevention of Cardiovascular Disease: A Systematic Review and Meta-analysis. Mayo Clinic Proceedings 2015;90(4):469
    CrossRef
  6. Bice MR, Ball JW, McClaran S. Technology and physical activity motivation. International Journal of Sport and Exercise Psychology 2015;:1
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  7. Chan NN, Walker C, Gleaves A. An exploration of students' lived experiences of using smartphones in diverse learning contexts using a hermeneutic phenomenological approach. Computers & Education 2015;82:96
    CrossRef
  8. Mistry CD, Sweet SN, Rhodes RE, Latimer-Cheung AE. Text2Plan: Exploring changes in the quantity and quality of action plans and physical activity in a text messaging intervention. Psychology & Health 2015;30(7):839
    CrossRef
  9. Albright CL, Steffen AD, Wilkens LR, White KK, Novotny R, Nigg CR, Saiki K, Brown WJ. Effectiveness of a 12-month randomized clinical trial to increase physical activity in multiethnic postpartum women: Results from Hawaii's Nā Mikimiki Project. Preventive Medicine 2014;69:214
    CrossRef
  10. Park J, Lee G, Shin S, Kim JH, Han H, Kwon T, Kim WS, Lee JH. Lessons Learned from the Development of Health Applications in a Tertiary Hospital. Telemedicine and e-Health 2014;20(3):215
    CrossRef
  11. Fjeldsoe B, Phongsavan P, Bauman A, Goode A, Maher G, Eakin E. ‘Get Healthy, Stay Healthy’: protocol for evaluation of a lifestyle intervention delivered by text-message following the Get Healthy Information and Coaching Service®. BMC Public Health 2014;14(1):112
    CrossRef
  12. Hebden L, Cook A, van der Ploeg HP, King L, Bauman A, Allman-Farinelli M. A mobile health intervention for weight management among young adults: a pilot randomised controlled trial. Journal of Human Nutrition and Dietetics 2014;27(4):322
    CrossRef
  13. Laoviwat P, Suppapanya P, Yousapronpaiboon K. A Study of Demographics Influencing on Consumer Behavior and Attitude towards Brand Equity of Optical Business in Thailand. International Journal of Trade, Economics and Finance 2014;5(4):347
    CrossRef
  14. Smith BJ, Cinnadaio N, Cheung NW, Bauman A, Tapsell LC, van der Ploeg HP. Investigation of a lifestyle change strategy for high-risk women with a history of gestational diabetes. Diabetes Research and Clinical Practice 2014;106(3):e60
    CrossRef
  15. Bardus M, Blake H, Lloyd S, Suzanne Suggs L. Reasons for participating and not participating in a e-health workplace physical activity intervention. International Journal of Workplace Health Management 2014;7(4):229
    CrossRef
  16. Saffari M, Ghanizadeh G, Koenig HG. Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: A systematic review and meta-analysis. Primary Care Diabetes 2014;8(4):275
    CrossRef
  17. Antypas K, Wangberg SC. An Internet- and Mobile-Based Tailored Intervention to Enhance Maintenance of Physical Activity After Cardiac Rehabilitation: Short-Term Results of a Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(3):e77
    CrossRef
  18. Devi R, Powell J, Singh S. A Web-Based Program Improves Physical Activity Outcomes in a Primary Care Angina Population: Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(9):e186
    CrossRef
  19. Bort-Roig J, Gilson ND, Puig-Ribera A, Contreras RS, Trost SG. Measuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review. Sports Medicine 2014;44(5):671
    CrossRef
  20. Tabak M, op den Akker H, Hermens H. Motivational cues as real-time feedback for changing daily activity behavior of patients with COPD. Patient Education and Counseling 2014;94(3):372
    CrossRef
  21. Wang A, An N, Lu X, Chen H, Li C, Levkoff S. A Classification Scheme for Analyzing Mobile Apps Used to Prevent and Manage Disease in Late Life. JMIR mhealth and uhealth 2014;2(1):e6
    CrossRef
  22. Knight E, Stuckey MI, Petrella RJ. Health Promotion Through Primary Care: Enhancing Self-Management With Activity Prescription and mHealth. The Physician and Sportsmedicine 2014;42(3):90
    CrossRef
  23. Antypas K, Wangberg SC. Combining Users’ Needs With Health Behavior Models in Designing an Internet- and Mobile-Based Intervention for Physical Activity in Cardiac Rehabilitation. JMIR Research Protocols 2014;3(1):e4
    CrossRef
  24. Newton Jr RL, Marker AM, Allen HR, Machtmes R, Han H, Johnson WD, Schuna Jr JM, Broyles ST, Tudor-Locke C, Church TS. Parent-Targeted Mobile Phone Intervention to Increase Physical Activity in Sedentary Children: Randomized Pilot Trial. JMIR mHealth and uHealth 2014;2(4):e48
    CrossRef
  25. Meyer J, Hein A. Live Long and Prosper: Potentials of Low-Cost Consumer Devices for the Prevention of Cardiovascular Diseases. Medicine 2.0 2013;2(2):e7
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  26. Flores M, Glusman G, Brogaard K, Price ND, Hood L. P4 medicine: how systems medicine will transform the healthcare sector and society. Personalized Medicine 2013;10(6):565
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  27. Blackman KC, Zoellner J, Berrey LM, Alexander R, Fanning J, Hill JL, Estabrooks PA. Assessing the Internal and External Validity of Mobile Health Physical Activity Promotion Interventions: A Systematic Literature Review Using the RE-AIM Framework. Journal of Medical Internet Research 2013;15(10):e224
    CrossRef
  28. Lepp A, Barkley JE, Sanders GJ, Rebold M, Gates P. The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U.S. college students. International Journal of Behavioral Nutrition and Physical Activity 2013;10(1):79
    CrossRef
  29. Buchholz SW, Ingram D, Wilbur J, Pelt P. Using Photos to Develop Text Messages to Promote Walking. Journal of Nursing Scholarship 2013;45(4):380
    CrossRef
  30. Donaire-Gonzalez D, de Nazelle A, Seto E, Mendez M, Nieuwenhuijsen MJ, Jerrett M. Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and Actigraph. Journal of Medical Internet Research 2013;15(6):e111
    CrossRef
  31. Bryant Howren M, Van Liew JR, Christensen AJ. Advances in Patient Adherence to Medical Treatment Regimens: The Emerging Role of Technology in Adherence Monitoring and Management. Social and Personality Psychology Compass 2013;7(7):427
    CrossRef
  32. O’Reilly GA, Spruijt-Metz D. Current mHealth Technologies for Physical Activity Assessment and Promotion. American Journal of Preventive Medicine 2013;45(4):501
    CrossRef
  33. Lindner P, Ivanova E, Ly K, Andersson G, Carlbring P. Guided and unguided CBT for social anxiety disorder and/or panic disorder via the Internet and a smartphone application: study protocol for a randomised controlled trial. Trials 2013;14(1):437
    CrossRef