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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. Forberger S, Bammann K, Bauer J, Boll S, Bolte G, Brand T, Hein A, Koppelin F, Lippke S, Meyer J, Pischke C, Voelcker-Rehage C, Zeeb H. How to Tackle Key Challenges in the Promotion of Physical Activity among Older Adults (65+): The AEQUIPA Network Approach. International Journal of Environmental Research and Public Health 2017;14(4):379
    CrossRef
  2. Sun L, Wang Y, Greene B, Xiao Q, Jiao C, Ji M, Wu Y. Facilitators and barriers to using physical activity smartphone apps among Chinese patients with chronic diseases. BMC Medical Informatics and Decision Making 2017;17(1)
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  3. Lepp A, Barkley JE, Li J. Motivations and Experiential Outcomes Associated with Leisure Time Cell Phone Use: Results from Two Independent Studies. Leisure Sciences 2017;39(2):144
    CrossRef
  4. Palacios J, Lee GA, Duaso M, Clifton A, Norman IJ, Richards D, Barley EA. Internet-Delivered Self-management Support for Improving Coronary Heart Disease and Self-management–Related Outcomes. The Journal of Cardiovascular Nursing 2017;32(4):E9
    CrossRef
  5. Barkley JE, Lepp A, Glickman EL. “Pokémon Go!” May Promote Walking, Discourage Sedentary Behavior in College Students. Games for Health Journal 2017;6(3):165
    CrossRef
  6. Ernsting C, Dombrowski SU, Oedekoven M, O´Sullivan JL, Kanzler M, Kuhlmey A, Gellert P. Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey. Journal of Medical Internet Research 2017;19(4):e101
    CrossRef
  7. Mollee J, Middelweerd A, Kurvers R, Klein M. What technological features are used in smartphone apps that promote physical activity? A review and content analysis. Personal and Ubiquitous Computing 2017;21(4):633
    CrossRef
  8. Liukkonen M, Nygård C, Laukkanen R. A Cluster Randomized Controlled Trial on the Effects of Technology-aided Testing and Feedback on Physical Activity and Biological Age Among Employees in a Medium-sized Enterprise. Safety and Health at Work 2017;
    CrossRef
  9. 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 2017;27(10):1157
    CrossRef
  10. 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 2017;51(2):226
    CrossRef
  11. Yang Y, Wang C, Wang J, Lin C, Yang YC, Wang J, Yang YK, Yang Y. The Effects of an Activity Promotion System on active living in overweight subjects with metabolic abnormalities. Obesity Research & Clinical Practice 2017;
    CrossRef
  12. Fanning J, Roberts S, Hillman CH, Mullen SP, Ritterband L, McAuley E. A smartphone “app”-delivered randomized factorial trial targeting physical activity in adults. Journal of Behavioral Medicine 2017;
    CrossRef
  13. Phillips SM, Conroy DE, Keadle SK, Pellegrini CA, Lloyd GR, Penedo FJ, Spring B. Breast cancer survivors’ preferences for technology-supported exercise interventions. Supportive Care in Cancer 2017;25(10):3243
    CrossRef
  14. 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 2017;40(1):112
    CrossRef
  15. Kao C, Liebovitz DM. Consumer Mobile Health Apps: Current State, Barriers, and Future Directions. PM&R 2017;9(5):S106
    CrossRef
  16. Janssen M, Scheerder J, Thibaut E, Brombacher A, Vos S, Guilhem G. Who uses running apps and sports watches? Determinants and consumer profiles of event runners’ usage of running-related smartphone applications and sports watches. PLOS ONE 2017;12(7):e0181167
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  17. Klenk S, Reifegerste D, Renatus R. Gender differences in gratifications from fitness app use and implications for health interventions. Mobile Media & Communication 2017;5(2):178
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  18. 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 2017;40(2):332
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  19. Chu AHY, Ng SHX, Paknezhad M, Gauterin A, Koh D, Brown MS, Müller-Riemenschneider F, Buchowski M. Comparison of wrist-worn Fitbit Flex and waist-worn ActiGraph for measuring steps in free-living adults. PLOS ONE 2017;12(2):e0172535
    CrossRef
  20. Lim JS, Noh G. Effects of gain-versus loss-framed performance feedback on the use of fitness apps: Mediating role of exercise self-efficacy and outcome expectations of exercise. Computers in Human Behavior 2017;77:249
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  21. Hong YA, Forjuoh SN, Ory MG, Reis MD, Sang H. A Multi-Level, Mobile-Enabled Intervention to Promote Physical Activity in Older Adults in the Primary Care Setting (iCanFit 2.0): Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols 2017;6(9):e183
    CrossRef
  22. Salzwedel A, Rabe S, Zahn T, Neuwirth J, Eichler S, Haubold K, Wachholz A, Reibis R, Völler H. User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University. JMIR mHealth and uHealth 2017;5(4):e51
    CrossRef
  23. Perle JG, Hommel KA. A Proposed Parent Management Training-Focused Smartphone App: How mHealth Can Foster Improved Inter-session Adherence and Behavioral Monitoring. Journal of Technology in Behavioral Science 2017;
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  24. Schippers M, Adam PCG, Smolenski DJ, Wong HTH, de Wit JBF. A meta-analysis of overall effects of weight loss interventions delivered via mobile phones and effect size differences according to delivery mode, personal contact, and intervention intensity and duration. Obesity Reviews 2017;18(4):450
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  25. Horner GN, Agboola S, Jethwani K, Tan-McGrory A, Lopez L. Designing Patient-Centered Text Messaging Interventions for Increasing Physical Activity Among Participants With Type 2 Diabetes: Qualitative Results From the Text to Move Intervention. JMIR mHealth and uHealth 2017;5(4):e54
    CrossRef
  26. O’Neil A, Cocker F, Rarau P, Baptista S, Cassimatis M, Barr Taylor C, Lau AY, Kanuri N, Oldenburg B. Using digital interventions to improve the cardiometabolic health of populations: a meta-review of reporting quality. Journal of the American Medical Informatics Association 2017;24(4):867
    CrossRef
  27. Hoj TH, Covey EL, Jones AC, Haines AC, Hall PC, Crookston BT, West JH. How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms. JMIR mHealth and uHealth 2017;5(8):e114
    CrossRef
  28. Michard F, Gan TJ, Kehlet H. Digital innovations and emerging technologies for enhanced recovery programmes. BJA: British Journal of Anaesthesia 2017;119(1):31
    CrossRef
  29. Braumüller B. Sportbezogenes Handeln in virtuellen sozialen Netzwerken. German Journal of Exercise and Sport Research 2017;
    CrossRef
  30. Michard F. A sneak peek into digital innovations and wearable sensors for cardiac monitoring. Journal of Clinical Monitoring and Computing 2017;31(2):253
    CrossRef
  31. Hassandra M, Lintunen T, Hagger MS, Heikkinen R, Vanhala M, Kettunen T. An mHealth App for Supporting Quitters to Manage Cigarette Cravings With Short Bouts of Physical Activity: A Randomized Pilot Feasibility and Acceptability Study. JMIR mHealth and uHealth 2017;5(5):e74
    CrossRef
  32. 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 2017;
    CrossRef
  33. Staffileno BA, Zschunke J, Weber M, Gross LE, Fogg L, Tangney CC. The Feasibility of Using Facebook, Craigslist, and Other Online Strategies to Recruit Young African American Women for a Web-Based Healthy Lifestyle Behavior Change Intervention. The Journal of Cardiovascular Nursing 2017;32(4):365
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  34. Keränen NS, Kangas M, Immonen M, Similä H, Enwald H, Korpelainen R, Jämsä T. Use of Information and Communication Technologies Among Older People With and Without Frailty: A Population-Based Survey. Journal of Medical Internet Research 2017;19(2):e29
    CrossRef
  35. 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 2017;:1
    CrossRef
  36. 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 2017;19(1):77
    CrossRef
  37. 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)
    CrossRef
  38. 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
  39. 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
  40. 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)
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  41. 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
  42. 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
  43. Baranowski T. Pokémon Go, go, go, gone?. Games for Health Journal 2016;5(5):293
    CrossRef
  44. 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
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  45. Wright K. Social Networks, Interpersonal Social Support, and Health Outcomes: A Health Communication Perspective. Frontiers in Communication 2016;1
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  46. 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
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  47. Higgins JP. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11
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  48. 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
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  49. 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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  50. 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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  51. 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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  52. 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
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  53. 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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  54. 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)
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  55. 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
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  56. Barkley JE, Lepp A, Salehi-Esfahani S. College Students’ Mobile Telephone Use Is Positively Associated With Sedentary Behavior. American Journal of Lifestyle Medicine 2016;10(6):437
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  57. Muntaner A, Vidal-Conti J, Palou P. Increasing physical activity through mobile device interventions: A systematic review. Health Informatics Journal 2016;22(3):451
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  58. 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
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  59. Thakkar J, Redfern J, Thiagalingam A, Chow CK. Patterns, predictors and effects of texting intervention on physical activity in CHD – insights from the TEXT ME randomized clinical trial. European Journal of Preventive Cardiology 2016;23(17):1894
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  60. 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
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  61. 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
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  62. 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
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  63. Bice MR, Ball JW, McClaran S. Technology and physical activity motivation. International Journal of Sport and Exercise Psychology 2016;14(4):295
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  64. 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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  65. Cowan S. My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348
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  66. 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
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  67. 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
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  68. 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
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  69. 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
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  70. 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
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  71. 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
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  72. 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
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  73. 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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  74. 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
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  75. 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
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  76. 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
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  77. 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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  78. 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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  79. 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
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  80. 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
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  81. 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
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  83. 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
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  84. 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
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  85. 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
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2171)

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  2. Tong X, Gupta A, Gromala D, Shaw CD. Distributed, Ambient and Pervasive Interactions. 2017. Chapter 50:675
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