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Journal of Medical Internet Research

Citing this Article

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Published on 14.05.12 in Vol 14, No 3 (2012): May-Jun

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

Works citing "There’s an App for That: Content Analysis of Paid Health and Fitness Apps"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1977):

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

  1. Said M, Hughes A, Anson S, Watson H, Klafft M, Metz K, Lukau E. Understanding cross-cultural adoption of a first aid app. Health and Technology 2017;
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  4. Sousa VEC, Dunn Lopez K. Towards Usable E-Health. Applied Clinical Informatics 2017;8(2):470
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  5. De Cock N, Vangeel J, Lachat C, Beullens K, Vervoort L, Goossens L, Maes L, Deforche B, De Henauw S, Braet C, Eggermont S, Kolsteren P, Van Camp J, Van Lippevelde W. Use of Fitness and Nutrition Apps: Associations With Body Mass Index, Snacking, and Drinking Habits in Adolescents. JMIR mHealth and uHealth 2017;5(4):e58
    CrossRef
  6. Bartlett YK, Webb TL, Hawley MS. Using Persuasive Technology to Increase Physical Activity in People With Chronic Obstructive Pulmonary Disease by Encouraging Regular Walking: A Mixed-Methods Study Exploring Opinions and Preferences. Journal of Medical Internet Research 2017;19(4):e124
    CrossRef
  7. Househ M, Hossain N, Jamal A, Zakaria N, Elmetwally A, Alsalamah M, Khalifa M. A cross-sectional content analysis of Android applications for asthma. Health Informatics Journal 2017;23(2):83
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  8. Triantafyllidis AK, Velardo C, Salvi D, Shah SA, Koutkias VG, Tarassenko L. A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare. IEEE Journal of Biomedical and Health Informatics 2017;21(1):218
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  9. Levin ME, Pierce B, Schoendorff B. The acceptance and commitment therapy matrix mobile app: A pilot randomized trial on health behaviors. Journal of Contextual Behavioral Science 2017;6(3):268
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  10. 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
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  11. Dotson JAW, Pineda R, Cylkowski H, Amiri S. Development and Evaluation of an iPad Application to Promote Knowledge of Tobacco Use and Cessation by Pregnant Women. Nursing for Women's Health 2017;21(3):174
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  12. 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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  13. Lambert K, Mullan J, Mansfield K, Owen P. Should We Recommend Renal Diet–Related Apps to Our Patients? An Evaluation of the Quality and Health Literacy Demand of Renal Diet–Related Mobile Applications. Journal of Renal Nutrition 2017;27(6):430
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  15. West JH, Belvedere LM, Andreasen R, Frandsen C, Hall PC, Crookston BT. Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change. JMIR mHealth and uHealth 2017;5(7):e95
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  16. 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
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  17. Hoppe CD, Cade JE, Carter M. An evaluation of diabetes targeted apps for Android smartphone in relation to behaviour change techniques. Journal of Human Nutrition and Dietetics 2017;30(3):326
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  18. Maheu MM, Nicolucci V, Pulier ML, Wall KM, Frye TJ, Hudlicka E. The Interactive Mobile App Review Toolkit (IMART): a Clinical Practice-Oriented System. Journal of Technology in Behavioral Science 2017;1(1-4):3
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  19. Fitzgerald M, McClelland T. What makes a mobile app successful in supporting health behaviour change?. Health Education Journal 2017;76(3):373
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  20. Cho J, Lee HE, Quinlan M. Cross-national comparisons of college students' attitudes toward diet/fitness apps on smartphones. Journal of American College Health 2017;65(7):437
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  21. Bittel DC, Bittel AJ, Williams C, Elazzazi A. Improving Exercise Performance with an Accelerometer-Based Smartphone App. American Journal of Physical Medicine & Rehabilitation 2017;96(5):307
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  22. Brayboy LM, Sepolen A, Mezoian T, Schultz L, Landgren-Mills BS, Spencer N, Wheeler C, Clark MA. Girl Talk: A Smartphone Application to Teach Sexual Health Education to Adolescent Girls. Journal of Pediatric and Adolescent Gynecology 2017;30(1):23
    CrossRef
  23. Crookston BT, West JH, Hall PC, Dahle KM, Heaton TL, Beck RN, Muralidharan C. Mental and Emotional Self-Help Technology Apps: Cross-Sectional Study of Theory, Technology, and Mental Health Behaviors. JMIR Mental Health 2017;4(4):e45
    CrossRef
  24. Chen J, Lieffers J, Bauman A, Hanning R, Allman-Farinelli M. Designing Health Apps to Support Dietetic Professional Practice and Their Patients: Qualitative Results From an International Survey. JMIR mHealth and uHealth 2017;5(3):e40
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  25. Alnasser AA, Amalraj RE, Sathiaseelan A, Al-Khalifa AS, Marais D. Do Arabic weight-loss apps adhere to evidence-informed practices?. Translational Behavioral Medicine 2016;6(3):396
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  26. Nguyen E, Bugno L, Kandah C, Plevinsky J, Poulopoulos N, Wojtowicz A, Schneider KL, Greenley RN. Is There a Good App for That? Evaluating m-Health Apps for Strategies That Promote Pediatric Medication Adherence. Telemedicine and e-Health 2016;22(11):929
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  27. Wang Q, Egelandsdal B, Amdam GV, Almli VL, Oostindjer M. Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR mHealth and uHealth 2016;4(2):e33
    CrossRef
  28. Davis SF, Ellsworth MA, Payne HE, Hall SM, West JH, Nordhagen AL. Health Behavior Theory in Popular Calorie Counting Apps: A Content Analysis. JMIR mHealth and uHealth 2016;4(1):e19
    CrossRef
  29. Franco RZ, Fallaize R, Lovegrove JA, Hwang F. Popular Nutrition-Related Mobile Apps: A Feature Assessment. JMIR mHealth and uHealth 2016;4(3):e85
    CrossRef
  30. 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
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  31. Burgers C, Eden A, de Jong R, Buningh S. Rousing reviews and instigative images: The impact of online reviews and visual design characteristics on app downloads. Mobile Media & Communication 2016;4(3):327
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  32. Trub L, Barbot B. The paradox of phone attachment: Development and validation of the Young Adult Attachment to Phone Scale (YAPS). Computers in Human Behavior 2016;64:663
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  33. Platt A, Outlay C, Sarkar P, Karnes S. Evaluating User Needs in Wellness Apps. International Journal of Human-Computer Interaction 2016;32(2):119
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  34. Li Y, Tan J, Shi B, Duan X, Zhong D, Li X, Qu J. Information and Communication Technology-Powered Diabetes Self-Management Systems in China: A Study Evaluating the Features and Requirements of Apps and Patents. JMIR Diabetes 2016;1(1):e2
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  35. Chen J, Bauman A, Allman-Farinelli M. A Study to Determine the Most Popular Lifestyle Smartphone Applications and Willingness of the Public to Share Their Personal Data for Health Research. Telemedicine and e-Health 2016;22(8):655
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  36. Powell AC, Torous J, Chan S, Raynor GS, Shwarts E, Shanahan M, Landman AB. Interrater Reliability of mHealth App Rating Measures: Analysis of Top Depression and Smoking Cessation Apps. JMIR mHealth and uHealth 2016;4(1):e15
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  37. Hingle M, Patrick H. There Are Thousands of Apps for That: Navigating Mobile Technology for Nutrition Education and Behavior. Journal of Nutrition Education and Behavior 2016;48(3):213
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  38. Johnson K, Richards S, Chih M, Moon TJ, Curtis H, Gustafson DH. A Pilot Test of a Mobile App for Drug Court Participants. Substance Abuse: Research and Treatment 2016;10:SART.S33390
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  39. Brindal E, Hendrie GA, Freyne J. Combining Persuasive Technology With Behavioral Theory to Support Weight Maintenance Through a Mobile Phone App: Protocol for the MotiMate App. JMIR Research Protocols 2016;5(1):e5
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  40. Pandher PS, Bhullar KK. Smartphone applications for seizure management. Health Informatics Journal 2016;22(2):209
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  41. Loo Gee B, Griffiths KM, Gulliver A. Effectiveness of mobile technologies delivering Ecological Momentary Interventions for stress and anxiety: a systematic review. Journal of the American Medical Informatics Association 2016;23(1):221
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  42. Helf C, Hlavacs H. Apps for life change: Critical review and solution directions. Entertainment Computing 2016;14:17
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  43. Cunha A, Cunha E, Peres E, Trigueiros P. Helping Older People: Is there an App for that?. Procedia Computer Science 2016;100:118
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  44. Zahry NR, Cheng Y, Peng W. Content Analysis of Diet-Related Mobile Apps: A Self-Regulation Perspective. Health Communication 2016;31(10):1301
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  45. Stragier J, Vanden Abeele M, Mechant P, De Marez L. Understanding persistence in the use of Online Fitness Communities: Comparing novice and experienced users. Computers in Human Behavior 2016;64:34
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  46. Moglia ML, Nguyen HV, Chyjek K, Chen KT, Castaño PM. Evaluation of Smartphone Menstrual Cycle Tracking Applications Using an Adapted APPLICATIONS Scoring System. Obstetrics & Gynecology 2016;127(6):1153
    CrossRef
  47. Cho J. The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics 2016;87:75
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  48. Curtis KE, Lahiri S, Brown KE. Targeting Parents for Childhood Weight Management: Development of a Theory-Driven and User-Centered Healthy Eating App. JMIR mHealth and uHealth 2015;3(2):e69
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  49. Barnett J, Harricharan M, Fletcher D, Gilchrist B, Coughlan J. myPace: An Integrative Health Platform for Supporting Weight Loss and Maintenance Behaviors. IEEE Journal of Biomedical and Health Informatics 2015;19(1):109
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  50. Miloff A, Marklund A, Carlbring P. The challenger app for social anxiety disorder: New advances in mobile psychological treatment. Internet Interventions 2015;2(4):382
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  51. Lucas H. New technology and illness self-management: Potential relevance for resource-poor populations in Asia. Social Science & Medicine 2015;145:145
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  52. Neubeck L, Lowres N, Benjamin EJ, Freedman SB, Coorey G, Redfern J. The mobile revolution—using smartphone apps to prevent cardiovascular disease. Nature Reviews Cardiology 2015;12(6):350
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  53. Lupton D. Quantified sex: a critical analysis of sexual and reproductive self-tracking using apps. Culture, Health & Sexuality 2015;17(4):440
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  54. Middelweerd A, van der Laan DM, van Stralen MM, Mollee JS, Stuij M, te Velde SJ, Brug J. What features do Dutch university students prefer in a smartphone application for promotion of physical activity? A qualitative approach. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1):31
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  55. 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)
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  56. Taki S, Campbell KJ, Russell CG, Elliott R, Laws R, Denney-Wilson E. Infant Feeding Websites and Apps: A Systematic Assessment of Quality and Content. interactive Journal of Medical Research 2015;4(3):e18
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  57. Ramo DE, Popova L, Grana R, Zhao S, Chavez K. Cannabis Mobile Apps: A Content Analysis. JMIR mHealth and uHealth 2015;3(3):e81
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  58. Dehling T, Gao F, Schneider S, Sunyaev A. Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android. JMIR mHealth and uHealth 2015;3(1):e8
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  59. Shen N, Levitan M, Johnson A, Bender JL, Hamilton-Page M, Jadad AR, Wiljer D. Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace. JMIR mHealth and uHealth 2015;3(1):e16
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  60. Payne HE, Lister C, West JH, Bernhardt JM. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20
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  61. Yuan S, Ma W, Kanthawala S, Peng W. Keep Using My Health Apps: Discover Users' Perception of Health and Fitness Apps with the UTAUT2 Model. Telemedicine and e-Health 2015;21(9):735
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  62. Cowdery J, Majeske P, Frank R, Brown D. Exergame Apps and Physical Activity: The Results of the ZOMBIE Trial. American Journal of Health Education 2015;46(4):216
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  63. Chen J, Cade JE, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104
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  64. Yang C, Maher JP, Conroy DE. Implementation of Behavior Change Techniques in Mobile Applications for Physical Activity. American Journal of Preventive Medicine 2015;48(4):452
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  65. Lieffers JR, Vance VA, Hanning RM. Use of Mobile Device Applications In Canadian Dietetic Practice. Canadian Journal of Dietetic Practice and Research 2014;75(1):41
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  66. Wang J, Wang Y, Wei C, Yao N, Yuan A, Shan Y, Yuan C. Smartphone Interventions for Long-Term Health Management of Chronic Diseases: An Integrative Review. Telemedicine and e-Health 2014;20(6):570
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  67. Bert F, Giacometti M, Gualano MR, Siliquini R. Smartphones and Health Promotion: A Review of the Evidence. Journal of Medical Systems 2014;38(1)
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  68. Conroy DE, Yang C, Maher JP. Behavior Change Techniques in Top-Ranked Mobile Apps for Physical Activity. American Journal of Preventive Medicine 2014;46(6):649
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  69. Hilliard ME, Hahn A, Ridge AK, Eakin MN, Riekert KA. User Preferences and Design Recommendations for an mHealth App to Promote Cystic Fibrosis Self-Management. JMIR mHealth and uHealth 2014;2(4):e44
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  70. Becker S, Miron-Shatz T, Schumacher N, Krocza J, Diamantidis C, Albrecht U. mHealth 2.0: Experiences, Possibilities, and Perspectives. JMIR mHealth and uHealth 2014;2(2):e24
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  71. Smith-Dektor AH, Young SD. Marketing, Technology, and Medicine: Recommendations on How to Incorporate Psychological Principles into New Technologies to Promote Healthy Behaviors. Journal of Consumer Health On the Internet 2014;18(3):253
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  72. Lyons EJ, Lewis ZH, Mayrsohn BG, Rowland JL. Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis. Journal of Medical Internet Research 2014;16(8):e192
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  73. 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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  74. Middelweerd A, Mollee JS, van der Wal CN, Brug J, te Velde SJ. Apps to promote physical activity among adults: a review and content analysis. International Journal of Behavioral Nutrition and Physical Activity 2014;11(1)
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  75. Renner B, Kimmerle J, Cavael D, Ziegler V, Reinmann L, Cress U. Web-Based Apps for Reflection: A Longitudinal Study With Hospital Staff. Journal of Medical Internet Research 2014;16(3):e85
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  76. Direito A, Pfaeffli Dale L, Shields E, Dobson R, Whittaker R, Maddison R. Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques?. BMC Public Health 2014;14(1)
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  77. Morrison LG, Hargood C, Lin SX, Dennison L, Joseph J, Hughes S, Michaelides DT, Johnston D, Johnston M, Michie S, Little P, Smith PW, Weal MJ, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201
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  78. Vickey TA, Ginis KM, Dabrowski M. Twitter classification model: the ABC of two million fitness tweets. Translational Behavioral Medicine 2013;3(3):304
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  82. Weaver ER, Horyniak DR, Jenkinson R, Dietze P, Lim MS. “Let’s get Wasted!” and Other Apps: Characteristics, Acceptability, and Use of Alcohol-Related Smartphone Applications. JMIR mhealth and uhealth 2013;1(1):e9
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