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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)

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  27. 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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  29. 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
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  31. 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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  34. 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
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  35. 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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  36. 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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  38. 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
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  39. 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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  40. Alyami M, Giri B, Alyami H, Sundram F. Social anxiety apps: a systematic review and assessment of app descriptors across mobile store platforms. Evidence Based Mental Health 2017;20(3):65
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  42. 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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  43. 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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  44. Sousa V, Lopez KD. Towards Usable E-Health. Applied Clinical Informatics 2017;08(02):470
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  45. Darling KE, Sato AF. Systematic Review and Meta-Analysis Examining the Effectiveness of Mobile Health Technologies in Using Self-Monitoring for Pediatric Weight Management. Childhood Obesity 2017;13(5):347
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  46. 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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  47. 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
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  48. 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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  49. 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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  50. 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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  51. 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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  52. 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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  53. Pandher PS, Bhullar KK. Smartphone applications for seizure management. Health Informatics Journal 2016;22(2):209
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  54. 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
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  56. 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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  57. Helf C, Hlavacs H. Apps for life change: Critical review and solution directions. Entertainment Computing 2016;14:17
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  59. 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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  60. 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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  61. 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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  62. 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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  63. 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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  65. 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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  66. 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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  67. Franco RZ, Fallaize R, Lovegrove JA, Hwang F. Popular Nutrition-Related Mobile Apps: A Feature Assessment. JMIR mHealth and uHealth 2016;4(3):e85
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  68. 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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  69. Middelweerd A, te Velde SJ, Mollee JS, Klein MC, Brug J. Development of Active2Gether: an app-based intervention combining evidence-based behavior change techniques with a model-based reasoning system to promote physical activity among young adults (Preprint). JMIR Research Protocols 2016;
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  74. 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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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1977)

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  1. Kuru H. Current and Emerging mHealth Technologies. 2018. Chapter 3:23
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  2. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara CA, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. 2018. Chapter 6:101
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  3. Chen H. mHealth Innovation in Asia. 2018. Chapter 7:109
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  4. Zeng L, Almquist ZW, Spiro ES. Social Computing and Social Media. Technologies and Analytics. 2018. Chapter 10:137
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  5. Torres J, Ortiz K, García J, Vaca C. Trends and Advances in Information Systems and Technologies. 2018. Chapter 91:961
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  6. Eichhorn C, Plecher DA, Klinker G, Lurz M, Leipold N, Böhm M, Krcmar H, Ott A, Volkert D, Hiyama A. Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment. 2018. Chapter 37:526
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