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Citing this Article

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Published on 24.07.15 in Vol 3, No 3 (2015): Jul-Sep

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

Works citing "Low Quality of Free Coaching Apps With Respect to the American College of Sports Medicine Guidelines: A Review of Current Mobile Apps"

François Modave, Jiang Bian, Trevor Leavitt, Jennifer Bromwell, Charles Harris III, Heather Vincent

JMIR Mhealth Uhealth 2015 (Jul 24); 3(3):e77 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4669):

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

  1. Schlomann A, Seifert A, Rietz C. Relevance of Activity Tracking With Mobile Devices in the Relationship Between Physical Activity Levels and Satisfaction With Physical Fitness in Older Adults: Representative Survey. JMIR Aging 2019;2(1):e12303
    CrossRef
  2. Ryan P, Papanek P, Csuka ME, Brown ME, Hopkins S, Lynch S, Scheer V, Schlidt A, Yan K, Simpson P, Hoffman R. Background and method of the Striving to be Strong study a RCT testing the efficacy of a m-health self-management intervention. Contemporary Clinical Trials 2018;71:80
    CrossRef
  3. Modave F, Guo Y, Bian J, Gurka MJ, Parish A, Smith MD, Lee AM, Buford TW. Mobile Device Accuracy for Step Counting Across Age Groups. JMIR mHealth and uHealth 2017;5(6):e88
    CrossRef
  4. Griffin L, Lee D, Jaisle A, Carek P, George T, Laber E, Lok B, Modave F, Paskett E, Krieger J. Creating an mHealth App for Colorectal Cancer Screening: User-Centered Design Approach. JMIR Human Factors 2019;6(2):e12700
    CrossRef
  5. Bondaronek P, Alkhaldi G, Slee A, Hamilton FL, Murray E. Quality of Publicly Available Physical Activity Apps: Review and Content Analysis. JMIR mHealth and uHealth 2018;6(3):e53
    CrossRef
  6. Knols RH, Vanderhenst T, Verra ML, de Bruin ED. Exergames for Patients in Acute Care Settings: Systematic Review of the Reporting of Methodological Quality, FITT Components, and Program Intervention Details. Games for Health Journal 2016;5(3):224
    CrossRef
  7. Spanakis EG, Santana S, Tsiknakis M, Marias K, Sakkalis V, Teixeira A, Janssen JH, de Jong H, Tziraki C. Technology-Based Innovations to Foster Personalized Healthy Lifestyles and Well-Being: A Targeted Review. Journal of Medical Internet Research 2016;18(6):e128
    CrossRef
  8. Vieira ASM, Silva-Filho AC, Dutra-Macêdo SR, Dias CJ, Rodrigues B, Mostarda CT. Estimated intensity and acute cardiovascular response to a single exercise session guided by the fitness app Sworkit® Personal Trainer. Motriz: Revista de Educação Física 2019;25(2)
    CrossRef
  9. Guo Y, Bian J, Leavitt T, Vincent HK, Vander Zalm L, Teurlings TL, Smith MD, Modave F. Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument. Journal of Medical Internet Research 2017;19(3):e67
    CrossRef
  10. Akbar S, Coiera, E, Magrabi F. Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review. Journal of the American Medical Informatics Association 2020;27(2):330
    CrossRef
  11. Kabir MF, Schulman D, Abdullah AS. Promoting Relational Agent for Health Behavior Change in Low and Middle - Income Countries (LMICs): Issues and Approaches. Journal of Medical Systems 2019;43(7)
    CrossRef
  12. 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
    CrossRef
  13. Kebede M, Steenbock B, Helmer SM, Sill J, Möllers T, Pischke CR. Identifying Evidence-Informed Physical Activity Apps: Content Analysis. JMIR mHealth and uHealth 2018;6(12):e10314
    CrossRef
  14. Rigamonti L, Albrecht U, Lutter C, Tempel M, Wolfarth B, Back DA. Potentials of Digitalization in Sports Medicine: A Narrative Review. Current Sports Medicine Reports 2020;19(4):157
    CrossRef
  15. Middelweerd A, te Velde SJ, Mollee JS, Klein MC, Brug J. App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content. JMIR Research Protocols 2018;7(12):e185
    CrossRef
  16. Domnich A, Arata L, Amicizia D, Signori A, Patrick B, Stoyanov S, Hides L, Gasparini R, Panatto D. Development and validation of the Italian version of the Mobile Application Rating Scale and its generalisability to apps targeting primary prevention. BMC Medical Informatics and Decision Making 2016;16(1)
    CrossRef
  17. Taber JM, Dickerman BA, Okhovat J, Geller AC, Dwyer LA, Hartman AM, Perna FM. Skin cancer interventions across the cancer control continuum: Review of technology, environment, and theory. Preventive Medicine 2018;111:451
    CrossRef
  18. Modave F, Bian J, Rosenberg E, Mendoza T, Liang Z, Bhosale R, Maeztu C, Rodriguez C, Cardel MI. DiaFit: The Development of a Smart App for Patients with Type 2 Diabetes and Obesity. JMIR Diabetes 2016;1(2):e5
    CrossRef
  19. . Sworkit and BitGym. The Journal for Nurse Practitioners 2017;13(1):e47
    CrossRef
  20. Fiordelli M, Zanini C, Amann J, Scheel-Sailer A, Brach M, Stucki G, Rubinelli S. Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study. JMIR mHealth and uHealth 2020;8(5):e15818
    CrossRef
  21. Chen J, Lieffers J, Bauman A, Hanning R, Allman‐Farinelli M. The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: a three country study. Journal of Human Nutrition and Dietetics 2017;30(4):439
    CrossRef
  22. Recio-Rodriguez JI, Agudo-Conde C, Martin-Cantera C, González-Viejo MN, Fernandez-Alonso MDC, Arietaleanizbeaskoa MS, Schmolling-Guinovart Y, Maderuelo-Fernandez J, Rodriguez-Sanchez E, Gomez-Marcos MA, Garcia-Ortiz L. Short-Term Effectiveness of a Mobile Phone App for Increasing Physical Activity and Adherence to the Mediterranean Diet in Primary Care: A Randomized Controlled Trial (EVIDENT II Study). Journal of Medical Internet Research 2016;18(12):e331
    CrossRef
  23. Martin Payo R, Fernandez Álvarez M, Blanco Díaz M, Cuesta Izquierdo M, Stoyanov S, Llaneza Suárez E. Spanish adaptation and validation of the Mobile Application Rating Scale questionnaire. International Journal of Medical Informatics 2019;129:95
    CrossRef
  24. 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
  25. 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
  26. Arigo D, Brown MM, Pasko K, Suls J. Social Comparison Features in Physical Activity Promotion Apps: Scoping Meta-Review. Journal of Medical Internet Research 2020;22(3):e15642
    CrossRef
  27. Sperlich B, Hahn L, Edel A, Behr T, Helmprobst J, Leppich R, Wallmann-Sperlich B, Holmberg H. A 4-Week Intervention Involving Mobile-Based Daily 6-Minute Micro-Sessions of Functional High-Intensity Circuit Training Improves Strength and Quality of Life, but Not Cardio-Respiratory Fitness of Young Untrained Adults. Frontiers in Physiology 2018;9
    CrossRef
  28. Mascarenhas MN, Chan JM, Vittinghoff E, Van Blarigan EL, Hecht F. Increasing Physical Activity in Mothers Using Video Exercise Groups and Exercise Mobile Apps: Randomized Controlled Trial. Journal of Medical Internet Research 2018;20(5):e179
    CrossRef
  29. Kennedy AB, Hales SB. Tools Clinicians Can Use to Help Get Patients Active. Current Sports Medicine Reports 2018;17(8):271
    CrossRef
  30. Kolinsky NC, Weare-Regales N, Lockey RF. A Practical Approach to Assist Asthmatics to Lose Weight. The Journal of Allergy and Clinical Immunology: In Practice 2021;9(6):2245
    CrossRef
  31. Stork MJ, Bell EG, Jung ME. Examining the Impact of a Mobile Health App on Functional Movement and Physical Fitness: Pilot Pragmatic Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(5):e24076
    CrossRef
  32. Chatterjee A, Gerdes M, Prinz A, Martinez S. Human Coaching Methodologies for Automatic Electronic Coaching (eCoaching) as Behavioral Interventions With Information and Communication Technology: Systematic Review. Journal of Medical Internet Research 2021;23(3):e23533
    CrossRef
  33. Hayotte M, Martinent G, Nègre V, Thérouanne P, d’Arripe-Longueville F. Acceptability of technology-based physical activity intervention profiles and their motivational factors in obesity care: a latent profile transition analysis. International Journal of Obesity 2021;45(7):1488
    CrossRef
  34. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308
    CrossRef
  35. KC B, Alrasheedy A, Goh BH, Blebil A, Bangash NSA, Mohamed Ibrahim MI, Rehman IU. The Types and Pattern of Use of Mobile Health Applications Among the General Population: A Cross-Sectional Study from Selangor, Malaysia. Patient Preference and Adherence 2021;Volume 15:1755
    CrossRef
  36. Hee Ko KK, Kim SK, Lee Y, Lee JY, Stoyanov SR. Validation of a Korean version of mobile app rating scale (MARS) for apps targeting disease management. Health Informatics Journal 2022;28(2):146045822210919
    CrossRef
  37. Humphrey G, Chu JT, Ruwhiu-Collins R, Erick-Peleti S, Dowling N, Merkouris S, Newcombe D, Rodda S, Ho E, Nosa V, Parag V, Bullen C. Adapting an Evidence-Based e-Learning Cognitive Behavioral Therapy Program Into a Mobile App for People Experiencing Gambling-Related Problems: Formative Study. JMIR Formative Research 2022;6(3):e32940
    CrossRef
  38. Shinohara Y, Yamamoto K, Ito M, Sakata M, Koizumi S, Hashisako M, Sato M, Wannous M, Stoyanov SR, Nakajima J, Furukawa TA. Development and validation of the Japanese version of the uMARS (user version of the mobile app rating system). International Journal of Medical Informatics 2022;165:104809
    CrossRef
  39. Vos AL, de Bruijn G, Klein MCA, Lakerveld J, Boerman SC, Smit EG. SNapp, a Tailored Smartphone App Intervention to Promote Walking in Adults of Low Socioeconomic Position: Development and Qualitative Pilot Study. JMIR Formative Research 2023;7:e40851
    CrossRef
  40. Chembakottu B, Li H, Khomh F. A large-scale exploratory study of android sports apps in the google play store. Information and Software Technology 2023;164:107321
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4669):

  1. Ren S, Shen B. Translational Informatics. 2022. Chapter 2:17
    CrossRef
  2. Guo Y, Bian J. Smartphone Apps for Health and Wellness. 2023. :73
    CrossRef