The Karma system is currently undergoing maintenance (Monday, January 29, 2018).
The maintenance period has been extended to 8PM EST.

Karma Credits will not be available for redeeming during maintenance.

Citing this Article

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

Published on 15.04.14 in Vol 16, No 4 (2014): April

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

Works citing "Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3084):

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

  1. Maringer M, van’t Veer P, Klepacz N, Verain MCD, Normann A, Ekman S, Timotijevic L, Raats MM, Geelen A. User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research. Nutrition Journal 2018;17(1)
    CrossRef
  2. Fritz MM, Armenta CN, Walsh LC, Lyubomirsky S. Gratitude facilitates healthy eating behavior in adolescents and young adults. Journal of Experimental Social Psychology 2018;
    CrossRef
  3. 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
  4. Cheung K, Ling W, Karr CJ, Weingardt K, Schueller SM, Mohr DC. Evaluation of a recommender app for apps for the treatment of depression and anxiety: an analysis of longitudinal user engagement. Journal of the American Medical Informatics Association 2018;25(8):955
    CrossRef
  5. Elaheebocus SMRA, Weal M, Morrison L, Yardley L. Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review. Journal of Medical Internet Research 2018;20(2):e20
    CrossRef
  6. Tonkin E, Jeffs L, Wycherley TP, Maher C, Smith R, Hart J, Cubillo B, Brimblecombe J. A Smartphone App to Reduce Sugar-Sweetened Beverage Consumption Among Young Adults in Australian Remote Indigenous Communities: Design, Formative Evaluation and User-Testing. JMIR mHealth and uHealth 2017;5(12):e192
    CrossRef
  7. Rasche P, Schlomann A, Mertens A. Who Is Still Playing Pokémon Go? A Web-Based Survey. JMIR Serious Games 2017;5(2):e7
    CrossRef
  8. Lee HE, Cho J. What Motivates Users to Continue Using Diet and Fitness Apps? Application of the Uses and Gratifications Approach. Health Communication 2017;32(12):1445
    CrossRef
  9. Jee H. Review of researches on smartphone applications for physical activity promotion in healthy adults. Journal of Exercise Rehabilitation 2017;13(1):3
    CrossRef
  10. Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Translational Behavioral Medicine 2017;7(2):254
    CrossRef
  11. Rubanovich CK, Mohr DC, Schueller SM. Health App Use Among Individuals With Symptoms of Depression and Anxiety: A Survey Study With Thematic Coding. JMIR Mental Health 2017;4(2):e22
    CrossRef
  12. Mohr DC, Tomasino KN, Lattie EG, Palac HL, Kwasny MJ, Weingardt K, Karr CJ, Kaiser SM, Rossom RC, Bardsley LR, Caccamo L, Stiles-Shields C, Schueller SM. IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety. Journal of Medical Internet Research 2017;19(1):e10
    CrossRef
  13. Crane D, Garnett C, Brown J, West R, Michie S. Factors Influencing Usability of a Smartphone App to Reduce Excessive Alcohol Consumption: Think Aloud and Interview Studies. Frontiers in Public Health 2017;5
    CrossRef
  14. Mummah S, Robinson TN, Mathur M, Farzinkhou S, Sutton S, Gardner CD. Effect of a mobile app intervention on vegetable consumption in overweight adults: a randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
    CrossRef
  15. Kim JY, Wineinger NE, Taitel M, Radin JM, Akinbosoye O, Jiang J, Nikzad N, Orr G, Topol E, Steinhubl S. Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors. Journal of Medical Internet Research 2016;18(11):e292
    CrossRef
  16. Mummah SA, Mathur M, King AC, Gardner CD, Sutton S. Mobile Technology for Vegetable Consumption: A Randomized Controlled Pilot Study in Overweight Adults. JMIR mHealth and uHealth 2016;4(2):e51
    CrossRef
  17. Lattie EG, Schueller SM, Sargent E, Stiles-Shields C, Tomasino KN, Corden ME, Begale M, Karr CJ, Mohr DC. Uptake and usage of IntelliCare: A publicly available suite of mental health and well-being apps. Internet Interventions 2016;4:152
    CrossRef
  18. Turner-McGrievy GM, Wilcox S, Kaczynski AT, Spruijt-Metz D, Hutto BE, Muth ER, Hoover A. Crowdsourcing for self-monitoring: Using the Traffic Light Diet and crowdsourcing to provide dietary feedback. DIGITAL HEALTH 2016;2:205520761665721
    CrossRef
  19. Sawesi S, Rashrash M, Phalakornkule K, Carpenter JS, Jones JF. The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature. JMIR Medical Informatics 2016;4(1):e1
    CrossRef
  20. Sanders JP, Loveday A, Pearson N, Edwardson C, Yates T, Biddle SJ, Esliger DW. Devices for Self-Monitoring Sedentary Time or Physical Activity: A Scoping Review. Journal of Medical Internet Research 2016;18(5):e90
    CrossRef
  21. Patrick K, Hekler EB, Estrin D, Mohr DC, Riper H, Crane D, Godino J, Riley WT. The Pace of Technologic Change. American Journal of Preventive Medicine 2016;51(5):816
    CrossRef
  22. Yu Z, Sealey-Potts C, Rodriguez J. Dietary Self-Monitoring in Weight Management: Current Evidence on Efficacy and Adherence. Journal of the Academy of Nutrition and Dietetics 2015;115(12):1931
    CrossRef
  23. Naslund JA, Aschbrenner KA, Barre LK, Bartels SJ. Feasibility of Popular m-Health Technologies for Activity Tracking Among Individuals with Serious Mental Illness. Telemedicine and e-Health 2015;21(3):213
    CrossRef
  24. Kuang J, Argo L, Stoddard G, Bray BE, Zeng-Treitler Q. Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches. Journal of Medical Internet Research 2015;17(12):e281
    CrossRef
  25. D’Ambrosio A, Agricola E, Russo L, Gesualdo F, Pandolfi E, Bortolus R, Castellani C, Lalatta F, Mastroiacovo P, Tozzi AE, Cai T. Web-Based Surveillance of Public Information Needs for Informing Preconception Interventions. PLOS ONE 2015;10(4):e0122551
    CrossRef
  26. Steinhubl SR, Muse ED, Topol EJ. The emerging field of mobile health. Science Translational Medicine 2015;7(283):283rv3
    CrossRef
  27. 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
  28. 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3084)

:
  1. Monti J. Reference Module in Biomedical Sciences. 2018.
    CrossRef
  2. Ramirez V, Starobin B, Monti J. Encyclopedia of Cardiovascular Research and Medicine. 2018. :257
    CrossRef
  3. Hawkins K, Apolzan J, Myers C, Martin C. Advances in the Assessment of Dietary Intake. 2017. :85
    CrossRef
  4. M-Health: Fundamentals and Applications. 2016. :67
    CrossRef