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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. Direito A, Carraça E, Rawstorn J, Whittaker R, Maddison R. mHealth Technologies to Influence Physical Activity and Sedentary Behaviors: Behavior Change Techniques, Systematic Review and Meta-Analysis of Randomized Controlled Trials. Annals of Behavioral Medicine 2016;
    CrossRef
  2. Antoine Parker C, Ellis R. Effect of Electronic Messaging on Physical Activity Participation among Older Adults. Journal of Aging Research 2016;2016:1
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  3. Fanning J, Porter G, Awick EA, Ehlers DK, Roberts SA, Cooke G, Burzynska AZ, Voss MW, Kramer AF, McAuley E. Replacing sedentary time with sleep, light, or moderate-to-vigorous physical activity: effects on self-regulation and executive functioning. Journal of Behavioral Medicine 2016;
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  4. Martin EC, Basen-Engquist K, Cox MG, Lyons EJ, Carmack CL, Blalock JA, Demark-Wahnefried W. Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study. JMIR Cancer 2016;2(1):e1
    CrossRef
  5. Schoeppe S, Alley S, Van Lippevelde W, Bray NA, Williams SL, Duncan MJ, Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef
  6. Bakker D, Kazantzis N, Rickwood D, Rickard N. Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments. JMIR Mental Health 2016;3(1):e7
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  7. Wright K. Social Networks, Interpersonal Social Support, and Health Outcomes: A Health Communication Perspective. Frontiers in Communication 2016;1
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  8. Pande A, Mohapatra P, Nicorici A, Han JJ. Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy. JMIR Rehabilitation and Assistive Technologies 2016;3(2):e7
    CrossRef
  9. Chrisman M, Chow W, Daniel CR, Wu X, Zhao H. Mobile Phone Use and its Association With Sitting Time and Meeting Physical Activity Recommendations in a Mexican American Cohort. JMIR mHealth and uHealth 2016;4(2):e54
    CrossRef
  10. Bice MR, Ball JW, McClaran S. Technology and physical activity motivation. International Journal of Sport and Exercise Psychology 2016;14(4):295
    CrossRef
  11. Walsh JC, Corbett T, Hogan M, Duggan J, McNamara A. An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study. JMIR mHealth and uHealth 2016;4(3):e109
    CrossRef
  12. Michard F. A sneak peek into digital innovations and wearable sensors for cardiac monitoring. Journal of Clinical Monitoring and Computing 2016;
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  13. Cowan S. My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348
    CrossRef
  14. McEwan D, Harden SM, Zumbo BD, Sylvester BD, Kaulius M, Ruissen GR, Dowd AJ, Beauchamp MR. The effectiveness of multi-component goal setting interventions for changing physical activity behaviour: a systematic review and meta-analysis. Health Psychology Review 2016;10(1):67
    CrossRef
  15. 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 2016;10(1):50
    CrossRef
  16. Stoyanov SR, Hides L, Kavanagh DJ, Wilson H. Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS). JMIR mHealth and uHealth 2016;4(2):e72
    CrossRef
  17. Vos S, Janssen M, Goudsmit J, Lauwerijssen C, Brombacher A. From Problem to Solution: Developing a Personalized Smartphone Application for Recreational Runners following a Three-step Design Approach. Procedia Engineering 2016;147:799
    CrossRef
  18. Müller AM, Alley S, Schoeppe S, Vandelanotte C. The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: A systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef
  19. Baranowski T. Pokémon Go, go, go, gone?. Games for Health Journal 2016;5(5):293
    CrossRef
  20. Ivanova E, Lindner P, Ly KH, Dahlin M, Vernmark K, Andersson G, Carlbring P. Guided and unguided Acceptance and Commitment Therapy for social anxiety disorder and/or panic disorder provided via the Internet and a smartphone application: A randomized controlled trial. Journal of Anxiety Disorders 2016;44:27
    CrossRef
  21. Dominick GM, Winfree KN, Pohlig RT, Papas MA. Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions. JMIR mHealth and uHealth 2016;4(3):e110
    CrossRef
  22. Lewis BA, Napolitano MA, Buman MP, Williams DM, Nigg CR. Future directions in physical activity intervention research: expanding our focus to sedentary behaviors, technology, and dissemination. Journal of Behavioral Medicine 2016;
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  23. White BK, Burns SK, Giglia RC, Scott JA. Designing evaluation plans for health promotion mHealth interventions: a case study of the Milk Man mobile app. Health Promotion Journal of Australia 2016;27(3):198
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  24. Fournier M, d'Arripe-Longueville F, Radel R. Testing the effect of text messaging cues to promote physical activity habits: a worksite-based exploratory intervention. Scandinavian Journal of Medicine & Science in Sports 2016;
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  25. Patten CA, Bronars CA, Vickers Douglas KS, Ussher MH, Levine JA, Tye SJ, Hughes CA, Brockman TA, Decker PA, DeJesus RS, Williams MD, Olson TP, Clark MM, Dieterich AM. Supervised, Vigorous Intensity Exercise Intervention for Depressed Female Smokers: A Pilot Study. Nicotine & Tobacco Research 2016;:ntw208
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  26. Paul L, Wyke S, Brewster S, Sattar N, Gill JM, Alexander G, Rafferty D, McFadyen AK, Ramsay A, Dybus A. Increasing physical activity in stroke survivors using STARFISH, an interactive mobile phone application: a pilot study. Topics in Stroke Rehabilitation 2016;23(3):170
    CrossRef
  27. Lepp A, Barkley JE, Li J. Motivations and Experiential Outcomes Associated with Leisure Time Cell Phone Use: Results from Two Independent Studies. Leisure Sciences 2016;:1
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  28. Vandelanotte C, Müller AM, Short CE, Hingle M, Nathan N, Williams SL, Lopez ML, Parekh S, Maher CA. Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors. Journal of Nutrition Education and Behavior 2016;48(3):219
    CrossRef
  29. Fong SS, Ng SS, Cheng YT, Zhang J, Chung LM, Chow GC, Chak YT, Chan IK, Macfarlane DJ. Comparison between smartphone pedometer applications and traditional pedometers for improving physical activity and body mass index in community-dwelling older adults. Journal of Physical Therapy Science 2016;28(5):1651
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  30. Higgins JP. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11
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  31. Buchholz SW, Ingram D, Wilbur J, Fogg L, Sandi G, Moss A, Ocampo EV. Bilingual Text4Walking Food Service Employee Intervention Pilot Study. JMIR mHealth and uHealth 2016;4(2):e68
    CrossRef
  32. Choo S, Kim JY, Jung SY, Kim S, Kim JE, Han JS, Kim S, Kim JH, Kim J, Kim Y, Kim D, Steinhubl S. Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship. JMIR mHealth and uHealth 2016;4(1):e24
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  33. van Drongelen A, Boot CRL, Hlobil H, Smid T, van der Beek AJ. Process evaluation of a tailored mobile health intervention aiming to reduce fatigue in airline pilots. BMC Public Health 2016;16(1)
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  34. Juarascio AS, Goldstein SP, Manasse SM, Forman EM, Butryn ML. Perceptions of the feasibility and acceptability of a smartphone application for the treatment of binge eating disorders: Qualitative feedback from a user population and clinicians. International Journal of Medical Informatics 2015;84(10):808
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  35. Tabak M, Dekker-van Weering M, van Dijk H, Vollenbroek-Hutten M. Promoting Daily Physical Activity by Means of Mobile Gaming: A Review of the State of the Art. Games for Health Journal 2015;4(6):460
    CrossRef
  36. Almeida FA, Smith-Ray RL, Dzewaltowski DA, Glasgow RE, Lee RE, Thomas DS, Xu S, Estabrooks PA. An Interactive Computer Session to Initiate Physical Activity in Sedentary Cardiac Patients: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(8):e206
    CrossRef
  37. Litman L, Rosen Z, Spierer D, Weinberger-Litman S, Goldschein A, Robinson J. Mobile Exercise Apps and Increased Leisure Time Exercise Activity: A Moderated Mediation Analysis of the Role of Self-Efficacy and Barriers. Journal of Medical Internet Research 2015;17(8):e195
    CrossRef
  38. Blackman KC, Zoellner J, Kadir A, Dockery B, Johnson SB, Almeida FA, McCrickard DS, Hill JL, You W, Estabrooks PA. Examining the Feasibility of Smartphone Game Applications for Physical Activity Promotion in Middle School Students. Games for Health Journal 2015;4(5):409
    CrossRef
  39. Monroe CM, Thompson DL, Bassett DR, Fitzhugh EC, Raynor HA. Usability of Mobile Phones in Physical Activity–Related Research: A Systematic Review. American Journal of Health Education 2015;46(4):196
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  40. Dallinga JM, Mennes M, Alpay L, Bijwaard H, Baart de la Faille-Deutekom M. App use, physical activity and healthy lifestyle: a cross sectional study. BMC Public Health 2015;15(1)
    CrossRef
  41. Hong YA, Goldberg D, Ory MG, Towne Jr SD, Forjuoh SN, Kellstedt D, Wang S. Efficacy of a Mobile-Enabled Web App (iCanFit) in Promoting Physical Activity Among Older Cancer Survivors: A Pilot Study. JMIR Cancer 2015;1(1):e7
    CrossRef
  42. Morton K, Sutton S, Hardeman W, Troughton J, Yates T, Griffin S, Davies M, Khunti K, Eborall H. A Text-Messaging and Pedometer Program to Promote Physical Activity in People at High Risk of Type 2 Diabetes: The Development of the PROPELS Follow-On Support Program. JMIR mHealth and uHealth 2015;3(4):e105
    CrossRef
  43. 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
  44. Mann D, Riddell L, Lim K, Byrne LK, Nowson C, Rigo M, Szymlek-Gay EA, Booth AO. Mobile Phone App Aimed at Improving Iron Intake and Bioavailability in Premenopausal Women: A Qualitative Evaluation. JMIR mHealth and uHealth 2015;3(3):e92
    CrossRef
  45. 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
  46. 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
  47. 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
  48. Direito A, Jiang Y, Whittaker R, Maddison R. Apps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(8):e210
    CrossRef
  49. Orr JA, King RJ. Mobile phone SMS messages can enhance healthy behaviour: a meta-analysis of randomised controlled trials. Health Psychology Review 2015;9(4):397
    CrossRef
  50. 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
  51. Ball K, Carver A, Downing K, Jackson M, O'Rourke K. Addressing the social determinants of inequities in physical activity and sedentary behaviours. Health Promotion International 2015;30(suppl 2):ii8
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  52. 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
  53. 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
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  54. 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
  55. 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
  56. 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
  57. 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)
    CrossRef
  58. 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
  59. 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
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  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. 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
  66. 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
  67. 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
  68. Lyzwinski L. A Systematic Review and Meta-Analysis of Mobile Devices and Weight Loss with an Intervention Content Analysis. Journal of Personalized Medicine 2014;4(3):311
    CrossRef
  69. 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
  70. 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
  71. 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
  72. 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
  73. 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
    CrossRef
  74. 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
    CrossRef
  75. 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
  76. 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
  77. 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

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

:
  1. Morgan GD, Fiore MC. Oncology Informatics. 2016. :103
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  2. Yasobant S. Geospatial Research: Concepts, Methodologies, Tools, and Applications. 2016. chapter 42:889
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  3. Esteves D, Pinheiro P, O'Hara K, Brás R. Encyclopedia of E-Health and Telemedicine. 2016. chapter 49:634
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