Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

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. Monteiro-Guerra F, Rivera-Romero O, Fernandez-Luque L, Caulfield B. Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review. IEEE Journal of Biomedical and Health Informatics 2020;24(6):1738
    CrossRef
  2. Choi H, Van Riper M. mHealth Family Adaptation Intervention for Families of Young Children with Down Syndrome: A Feasibility Study. Journal of Pediatric Nursing 2020;50:e69
    CrossRef
  3. Robin N, Toussaint L, Sinnapah S, Hue O, Coudevylle GR. Beneficial Influence of Mindfulness Training Promoted by Text Messages on Self-Reported Aerobic Physical Activity in Older Adults: A Randomized Controlled Study. Journal of Aging and Physical Activity 2020;28(3):406
    CrossRef
  4. Laing SS, Sterling R, Ocampo C. Physical Activity Support Predicts Safety-Net Patients’ Digital Health-Care Engagement: Implications for Patient Care Delivery. American Journal of Health Promotion 2020;34(3):311
    CrossRef
  5. Larsen BA, Benitez TJ, Mendoza-Vasconez AS, Hartman SJ, Linke SE, Pekmezi DJ, Dunsiger SI, Nodora JN, Gans KM, Marcus BH. Randomized Trial of a Physical Activity Intervention for Latino Men: Activo. American Journal of Preventive Medicine 2020;
    CrossRef
  6. Grimaldi-Puyana M, Fernández-Batanero JM, Fennell C, Sañudo B. Associations of Objectively-Assessed Smartphone Use with Physical Activity, Sedentary Behavior, Mood, and Sleep Quality in Young Adults: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2020;17(10):3499
    CrossRef
  7. 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
  8. Liu Y, Kashian N. Sharing Workout Experiences on Social Networking Sites: Its Moderating Factors and Well-Being Outcomes. Health Communication 2020;:1
    CrossRef
  9. Lin J, Wurst R, Paganini S, Hohberg V, Kinkel S, Göhner W, Ramsenthaler C, Fuchs R. A group- and smartphone-based psychological intervention to increase and maintain physical activity in patients with musculoskeletal conditions: study protocol for a randomized controlled trial (“MoVo-App”). Trials 2020;21(1)
    CrossRef
  10. Hooglugt F, Ludden GDS. A Mobile App Adopting an Identity Focus to Promote Physical Activity (MoveDaily): Iterative Design Study. JMIR mHealth and uHealth 2020;8(6):e16720
    CrossRef
  11. 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
  12. Low CA, Danko M, Durica KC, Kunta AR, Mulukutla R, Ren Y, Bartlett DL, Bovbjerg DH, Dey AK, Jakicic JM. A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Usability and Feasibility Study. JMIR Perioperative Medicine 2020;3(1):e17292
    CrossRef
  13. Stühmann LM, Paprott R, Heidemann C, Baumert J, Hansen S, Zahn D, Scheidt-Nave C, Gellert P. Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey. JMIR Diabetes 2020;5(2):e14396
    CrossRef
  14. Hekler E, Tiro JA, Hunter CM, Nebeker C. Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision. Annals of Behavioral Medicine 2020;
    CrossRef
  15. Smith DM, Duque L, Huffman JC, Healy BC, Celano CM. Text Message Interventions for Physical Activity: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2020;58(1):142
    CrossRef
  16. Mora-Gonzalez J, Pérez-López IJ, Delgado-Fernández M. The “$in TIME” Gamification Project: Using a Mobile App to Improve Cardiorespiratory Fitness Levels of College Students. Games for Health Journal 2020;9(1):37
    CrossRef
  17. 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 2020;23(3):391
    CrossRef
  18. 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;49(2):67
    CrossRef
  19. 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
    CrossRef
  20. 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;71(6):758
    CrossRef
  21. Bhattacharjya S, Stafford MC, Cavuoto LA, Yang Z, Song C, Subryan H, Xu W, Langan J. Harnessing smartphone technology and three dimensional printing to create a mobile rehabilitation system, mRehab: assessment of usability and consistency in measurement. Journal of NeuroEngineering and Rehabilitation 2019;16(1)
    CrossRef
  22. 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
    CrossRef
  23. Cabrita M, Tabak M, Vollenbroek-Hutten MM. Older Adults’ Attitudes Toward Ambulatory Technology to Support Monitoring and Coaching of Healthy Behaviors: Qualitative Study. JMIR Aging 2019;2(1):e10476
    CrossRef
  24. 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
    CrossRef
  25. Joseph-Shehu EM, Ncama BP, Mooi N, Mashamba-Thompson TP. The use of information and communication technologies to promote healthy lifestyle behaviour: a systematic scoping review. BMJ Open 2019;9(10):e029872
    CrossRef
  26. Yen H, Chiu H. The effectiveness of wearable technologies as physical activity interventions in weight control: A systematic review and meta‐analysis of randomized controlled trials. Obesity Reviews 2019;20(10):1485
    CrossRef
  27. 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
    CrossRef
  28. Bice MR, Ball JW, Hollman A, Adkins M. Health Technology Use: Implications for Physical Activity Behaviors Among College Students. International Journal of Kinesiology in Higher Education 2019;3(1):23
    CrossRef
  29. 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
  30. 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
    CrossRef
  31. Bol N, Høie NM, Nguyen MH, Smit ES. Customization in mobile health apps: explaining effects on physical activity intentions by the need for autonomy. DIGITAL HEALTH 2019;5:205520761988807
    CrossRef
  32. 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
    CrossRef
  33. 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
    CrossRef
  34. 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;64(5):669
    CrossRef
  35. 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
    CrossRef
  36. 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
    CrossRef
  37. Collins TC, Lu L, Valverde MG, Silva MX, Parra-Medina D. Efficacy of a multi-component intervention to promote physical activity among Latino adults: A randomized controlled trial. Preventive Medicine Reports 2019;16:100965
    CrossRef
  38. Gomersall SR, Skinner TL, Winkler E, Healy GN, Eakin E, Fjeldsoe B. Feasibility, acceptability and efficacy of a text message-enhanced clinical exercise rehabilitation intervention for increasing ‘whole-of-day’ activity in people living with and beyond cancer. BMC Public Health 2019;19(S2)
    CrossRef
  39. 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)
    CrossRef
  40. Kim H, Seo K. Smartphone-Based Health Program for Improving Physical Activity and Tackling Obesity for Young Adults: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2019;17(1):15
    CrossRef
  41. 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;64(5):679
    CrossRef
  42. 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
    CrossRef
  43. 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
    CrossRef
  44. UHvA G, Dallinga JM, Deutekom M. With a little help from my walking app? Predictors of profile classifications of current users, previous users, and informed nonusers in a sample of Dutch adults (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  45. 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
    CrossRef
  46. 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
    CrossRef
  47. 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
    CrossRef
  48. 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
  49. 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
    CrossRef
  50. 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;25(12):1231
    CrossRef
  51. 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)
    CrossRef
  52. Hamamatsu Y, Ide H, Kakinuma M, Furui Y. Maintaining Physical Activity Level Through Team-based Walking: Results of a Mobile Health (mHealth) Intervention (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  53. 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
    CrossRef
  54. Wilaiwan W, Siriwong W. The Healthy e-Elderly People Assessment (HEPA) application. Journal of Health Research 2019;33(1):14
    CrossRef
  55. Morais Pereira Simões MDS, de Barros Gonze B, Leite Proença N, Tonon Lauria V, Demarchi Silva Terra V, da Costa Padovani R, Zuniga Dourado V. Use of a smartphone app combined with gamification to increase the level of physical activity of adults and older adults: protocol of a sequential multiple assignment randomized trial. Trials 2019;20(1)
    CrossRef
  56. 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
    CrossRef
  57. 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
    CrossRef
  58. 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
    CrossRef
  59. 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
    CrossRef
  60. Majrashi K, Borsci S. User need and experience of Hajj mobile and ubiquitous systems: Designing for the largest religious annual gathering. Cogent Engineering 2018;5(1)
    CrossRef
  61. 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
    CrossRef
  62. 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
    CrossRef
  63. 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
    CrossRef
  64. 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
    CrossRef
  65. Adams TL, Taricani E, Pitasi A. The technological convergence innovation. International Review of Sociology 2018;28(3):403
    CrossRef
  66. Andersson A, Winslott Hiselius L, Adell E. Promoting sustainable travel behaviour through the use of smartphone applications: A review and development of a conceptual model. Travel Behaviour and Society 2018;11:52
    CrossRef
  67. UMUTLU G, ACAR NE, AKKOYUNLU Y. Evaluation of Health-Related Physical Fitness Profiles of Turkish Students in Urban and Rural School Districts. International Journal of Disabilities Sports & Health Sciences 2018;1(1):29
    CrossRef
  68. 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
    CrossRef
  69. Sullivan JK, Irrgang JJ, Losina E, Safran-Norton C, Collins J, Shrestha S, Selzer F, Bennell K, Bisson L, Chen AT, Dawson CK, Gil AB, Jones MH, Kluczynski MA, Lafferty K, Lange J, Lape EC, Leddy J, Mares AV, Spindler K, Turczyk J, Katz JN. The TeMPO trial (treatment of meniscal tears in osteoarthritis): rationale and design features for a four arm randomized controlled clinical trial. BMC Musculoskeletal Disorders 2018;19(1)
    CrossRef
  70. 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
    CrossRef
  71. Robin N, Laurent J, Ruart S. Influence des messages électroniques sur l’activité physique aérobie personnelle et les performances en éducation physique et sportive. Ejournal de la recherche sur l'intervention en éducation physique et sport -eJRIEPS 2018;(43)
    CrossRef
  72. 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
    CrossRef
  73. 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
    CrossRef
  74. 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
    CrossRef
  75. Braumüller B. Sportbezogenes Handeln in virtuellen sozialen Netzwerken. German Journal of Exercise and Sport Research 2018;48(1):79
    CrossRef
  76. Mira JJ. Tecnologías móviles e inalámbricas para cuidar nuestra salud. Journal of Healthcare Quality Research 2018;33(4):183
    CrossRef
  77. 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)
    CrossRef
  78. 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
    CrossRef
  79. 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
    CrossRef
  80. 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
    CrossRef
  81. 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
    CrossRef
  82. 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
    CrossRef
  83. 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
    CrossRef
  84. Wang C, Chaovalit P, Pongnumkul S. A Breastfeed-Promoting Mobile App Intervention: Usability and Usefulness Study. JMIR mHealth and uHealth 2018;6(1):e27
    CrossRef
  85. 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;
    CrossRef
  86. 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
    CrossRef
  87. 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
    CrossRef
  88. 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
    CrossRef
  89. Carter S, Green J, Speed E. Digital technologies and the biomedicalisation of everyday activities: The case of walking and cycling. Sociology Compass 2018;12(4):e12572
    CrossRef
  90. 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
    CrossRef
  91. 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
    CrossRef
  92. Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. Effect and Process Evaluation of a Smartphone App to Promote an Active Lifestyle in Lower Educated Working Young Adults: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(8):e10003
    CrossRef
  93. Braciszewski JM, Tzilos Wernette GK, Moore RS, Tran TB, Bock BC, Stout RL, Chamberlain P, Vose-O’Neal A. Developing a tailored substance use intervention for youth exiting foster care. Child Abuse & Neglect 2018;77:211
    CrossRef
  94. Mayer DK, Landucci G, Awoyinka L, Atwood AK, Carmack CL, Demark-Wahnefried W, McTavish F, Gustafson DH. SurvivorCHESS to increase physical activity in colon cancer survivors: can we get them moving?. Journal of Cancer Survivorship 2018;12(1):82
    CrossRef
  95. Caldieraro-Bentley AJ, Kelechi TJ, Treat-Jacobson D, Mueller M. Challenges in recruitment of persons with peripheral artery disease for exercise studies. Journal of Vascular Nursing 2018;36(3):111
    CrossRef
  96. 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
    CrossRef
  97. Michard F, Gan T, Kehlet H. Digital innovations and emerging technologies for enhanced recovery programmes. British Journal of Anaesthesia 2017;119(1):31
    CrossRef
  98. 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
  99. 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;11(6):718
    CrossRef
  100. 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;8(4):393
    CrossRef
  101. 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
    CrossRef
  102. 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
  103. Plow M, Golding M. Using mHealth Technology in a Self-Management Intervention to Promote Physical Activity Among Adults With Chronic Disabling Conditions: Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(12):e185
    CrossRef
  104. 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
  105. 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
    CrossRef
  106. 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)
    CrossRef
  107. 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
  108. 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
  109. 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
    CrossRef
  110. 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
  111. 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;2(1):49
    CrossRef
  112. 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
  113. 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
  114. 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
  115. 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
  116. 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;40(5):712
    CrossRef
  117. 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
  118. 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
  119. 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
  120. 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
  121. 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
  122. 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
  123. 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
    CrossRef
  124. 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
  125. Kao C, Liebovitz DM. Consumer Mobile Health Apps: Current State, Barriers, and Future Directions. PM&R 2017;9:S106
    CrossRef
  126. Lynch EA, Borschmann K, Callisaya ML, Fini NA, Janssen H, Johnson L, Jones TM, Kramer S, Kuys S, Mahendran N, Simpson DB, English C. Activity monitors for increasing physical activity in adult stroke survivors. Cochrane Database of Systematic Reviews 2017;
    CrossRef
  127. 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
  128. 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
    CrossRef
  129. 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
  130. Bice MR, Hollman A, Bickford S, Bickford N, Ball JW, Wiedenman EM, Brown GA, Dinkel D, Adkins M. Kinesiology in 360 Degrees. International Journal of Kinesiology in Higher Education 2017;1(1):9
    CrossRef
  131. 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
  132. Bosak K, Park SH. Characteristics of Adults Seeking Health Care Provider Support Facilitated by Mobile Technology: Secondary Data Analysis. JMIR Human Factors 2017;4(4):e33
    CrossRef
  133. 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
    CrossRef
  134. Wright K. Social Networks, Interpersonal Social Support, and Health Outcomes: A Health Communication Perspective. Frontiers in Communication 2016;1
    CrossRef
  135. 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
  136. 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
  137. 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
  138. 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
  139. 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
  140. 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
  141. White BK, Burns SK, Giglia RC, Scott JA. Designing evaluation plans for health promotion mHealth interventions: a case study of theMilk Manmobile app. Health Promotion Journal of Australia 2016;27(3):198
    CrossRef
  142. 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
    CrossRef
  143. Baranowski T. Pokémon Go, go, go, gone?. Games for Health Journal 2016;5(5):293
    CrossRef
  144. 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
  145. 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
  146. Colgan JC, Bopp MJ, Starkoff BE, Lieberman LJ. Fitness Wearables and Youths with Visual Impairments: Implications for Practice and Application. Journal of Visual Impairment & Blindness 2016;110(5):335
    CrossRef
  147. 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
  148. 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
  149. 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
  150. Muntaner A, Vidal-Conti J, Palou P. Increasing physical activity through mobile device interventions: A systematic review. Health Informatics Journal 2016;22(3):451
    CrossRef
  151. Bice MR, Ball JW, McClaran S. Technology and physical activity motivation. International Journal of Sport and Exercise Psychology 2016;14(4):295
    CrossRef
  152. 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
    CrossRef
  153. 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
  154. 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
    CrossRef
  155. Higgins JP. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11
    CrossRef
  156. 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
  157. 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
    CrossRef
  158. JungHwanCho , 오정화 , 정해권 , 송금주 . Current Mobile App Contents and Technologies for Physical Activity Promoting Intervention. The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science 2016;18(1):1
    CrossRef
  159. Antoine Parker C, Ellis R. Effect of Electronic Messaging on Physical Activity Participation among Older Adults. Journal of Aging Research 2016;2016:1
    CrossRef
  160. 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
  161. 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
    CrossRef
  162. Cowan S. My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348
    CrossRef
  163. 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
  164. 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
  165. 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
  166. 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
    CrossRef
  167. 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
  168. 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
  169. 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
  170. 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
  171. 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
  172. 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
  173. 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
  174. 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
  175. 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
  176. 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
  177. 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
    CrossRef
  178. 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
  179. 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
  180. 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
  181. 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
  182. 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
    CrossRef
  183. 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
  184. 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
  185. Mariani AW, Pêgo-Fernandes PM. Smartphones and health promotion. Sao Paulo Medical Journal 2014;132(5):259
    CrossRef
  186. 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
  187. 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
  188. 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
  189. 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
  190. 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
  191. 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
  192. 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
  193. 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
  194. 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
  195. Meyer J. Technologies for Wellbeing and Healthy Living. International Journal of Handheld Computing Research 2014;5(1):30
    CrossRef
  196. 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
  197. 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
  198. 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
  199. 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
  200. 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
  201. 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
  202. 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
  203. 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
  204. 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
  205. 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
  206. 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
  207. Suggs S, Blake H, Bardus M, Lloyd S. Effects of text messaging in addition to emails on physical activity among university and college employees in the UK. Journal of Health Services Research & Policy 2013;18(1_suppl):56
    CrossRef
  208. 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
  209. 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
  210. 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
  211. 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

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

:
  1. Howren MB, Roche AI, Christensen AJ. The Wiley Handbook of Healthcare Treatment Engagement. 2020. :223
    CrossRef
  2. Wright KB. The Handbook of Applied Communication Research. 2020. :863
    CrossRef
  3. Moreno-Blanco D, Sánchez-González P, Gárate FJ, Cáceres C, Solana-Sánchez J, Tormos-Muñoz JM, Gómez EJ. XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. 2020. Chapter 143:1181
    CrossRef
  4. Van Stee SK, Yang Q. Technology and Health. 2020. :243
    CrossRef
  5. Konishi T, Nagata M, Honjo M, Yoneyama A, Kurokawa M, Mishima K. Persuasive Technology: Development of Persuasive and Behavior Change Support Systems. 2019. Chapter 25:310
    CrossRef
  6. Ngenye L, Wright K. Global Perspectives on Health Communication in the Age of Social Media. 2018. chapter 1:1
    CrossRef
  7. McAuley E, Mullen SP, Fanning J. Principles and Concepts of Behavioral Medicine. 2018. Chapter 27:807
    CrossRef
  8. Carney R, Firth J. Exercise-Based Interventions for Mental Illness. 2018. :217
    CrossRef
  9. Burke LE, Zheng Y, Wang J. Principles and Concepts of Behavioral Medicine. 2018. Chapter 19:565
    CrossRef
  10. M Cecil S, Denise L L. Learning, Design, and Technology. 2017. Chapter 88-1:1
    CrossRef
  11. David SK, Rafiullah M. Case Study of Innovative Projects - Successful Real Cases. 2017. Chapter 12
    CrossRef
  12. Laranjo L, Lau A, Coiera E. Cognitive Informatics in Health and Biomedicine. 2017. Chapter 2:13
    CrossRef
  13. Tong X, Gupta A, Gromala D, Shaw CD. Distributed, Ambient and Pervasive Interactions. 2017. Chapter 50:675
    CrossRef
  14. Ramalho SM, Silva CB, Pinto-Bastos A, Conceição E. Obesity. 2016. Chapter 20:257
    CrossRef
  15. Morgan GD, Fiore MC. Oncology Informatics. 2016. :103
    CrossRef
  16. Yasobant S. Handbook of Research on Advancing Health Education through Technology. 2016. chapter 14:329
    CrossRef
  17. Scales R, Buman MP. Lifestyle Medicine. 2016. Chapter 4:29
    CrossRef
  18. Esteves D, Pinheiro P, O'Hara K, Brás R. Encyclopedia of E-Health and Telemedicine. 2016. chapter 49:634
    CrossRef
  19. Yasobant S. Geospatial Research. 2016. chapter 42:889
    CrossRef
  20. Ross T, Burris A, Oliveira L, Arnott B, Araujo-Soares V. Design, User Experience, and Usability: Design Discourse. 2015. Chapter 51:548
    CrossRef