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Published on 22.03.13 in Vol 15, No 3 (2013): March

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

Works citing "Measuring Physical Activity in a Cardiac Rehabilitation Population Using a Smartphone-Based Questionnaire"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2419):

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

  1. Nussbaum R, Kelly C, Quinby E, Mac A, Parmanto B, Dicianno BE. Systematic Review of Mobile Health Applications in Rehabilitation. Archives of Physical Medicine and Rehabilitation 2018;
    CrossRef
  2. Harzand A, Witbrodt B, Davis-Watts ML, Alrohaibani A, Goese D, Wenger NK, Shah AJ, Zafari AM. Feasibility of a Smartphone-enabled Cardiac Rehabilitation Program in Male Veterans With Previous Clinical Evidence of Coronary Heart Disease. The American Journal of Cardiology 2018;122(9):1471
    CrossRef
  3. Muzas Fernández A, Soto González M. Utilización de smartphone en los programas de rehabilitación cardíaca. Una revisión sistemática. Rehabilitación 2018;52(4):238
    CrossRef
  4. Toledo MJ, Hekler E, Hollingshead K, Epstein D, Buman M. Validation of a Smartphone App for the Assessment of Sedentary and Active Behaviors. JMIR mHealth and uHealth 2017;5(8):e119
    CrossRef
  5. Alharbi M, Bauman A, Neubeck L, Gallagher R. Measuring Overall Physical Activity for Cardiac Rehabilitation Participants: A Review of the Literature. Heart, Lung and Circulation 2017;26(10):1008
    CrossRef
  6. de Garibay VG, Fernández MA, de la Torre-Díez I, López-Coronado M. Utility of a mHealth App for Self-Management and Education of Cardiac Diseases in Spanish Urban and Rural Areas. Journal of Medical Systems 2016;40(8)
    CrossRef
  7. Alharbi M, Bauman A, Neubeck L, Gallagher R. Validation of Fitbit-Flex as a measure of free-living physical activity in a community-based phase III cardiac rehabilitation population. European Journal of Preventive Cardiology 2016;23(14):1476
    CrossRef
  8. Hu J, Cui X, Gong Y, Xu X, Gao B, Wen T, Lu TJ, Xu F. Portable microfluidic and smartphone-based devices for monitoring of cardiovascular diseases at the point of care. Biotechnology Advances 2016;34(3):305
    CrossRef
  9. Neubeck L, Coorey G, Peiris D, Mulley J, Heeley E, Hersch F, Redfern J. Development of an integrated e-health tool for people with, or at high risk of, cardiovascular disease: The Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) web application. International Journal of Medical Informatics 2016;96:24
    CrossRef
  10. Marcano Belisario JS, Jamsek J, Huckvale K, O'Donoghue J, Morrison CP, Car J. Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods. Cochrane Database of Systematic Reviews 2015;
    CrossRef
  11. Hekler EB, Buman MP, Grieco L, Rosenberger M, Winter SJ, Haskell W, King AC. Validation of Physical Activity Tracking via Android Smartphones Compared to ActiGraph Accelerometer: Laboratory-Based and Free-Living Validation Studies. JMIR mHealth and uHealth 2015;3(2):e36
    CrossRef
  12. Fijacko N, Brzan PP, Stiglic G. Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review. Journal of Medical Systems 2015;39(10)
    CrossRef
  13. 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
  14. Nordanstig J, Broeren M, Hensäter M, Perlander A, Österberg K, Jivegård L. Six-minute walk test closely correlates to “real-life” outdoor walking capacity and quality of life in patients with intermittent claudication. Journal of Vascular Surgery 2014;60(2):404
    CrossRef
  15. Saint-Maurice PF, Welk GJ. Web-Based Assessments of Physical Activity in Youth: Considerations for Design and Scale Calibration. Journal of Medical Internet Research 2014;16(12):e269
    CrossRef
  16. Jandee K, Lawpoolsri S, Taechaboonsermsak P, Khamsiriwatchara A, Wansatid P, Kaewkungwal J. Customized-Language Voice Survey on Mobile Devices for Text and Image Data Collection Among Ethnic Groups in Thailand: A Proof-of-Concept Study. JMIR mhealth and uhealth 2014;2(1):e7
    CrossRef
  17. Kim JH, Kwon S, Shim SR, Sun HY, Ko YM, Chun D, Yang WJ, Song YS. Validation and Reliability of a Smartphone Application for the International Prostate Symptom Score Questionnaire: A Randomized Repeated Measures Crossover Study. Journal of Medical Internet Research 2014;16(2):e38
    CrossRef
  18. Beatty AL, Fukuoka Y, Whooley MA. Using Mobile Technology for Cardiac Rehabilitation: A Review and Framework for Development and Evaluation. Journal of the American Heart Association 2013;2(6)
    CrossRef
  19. Martínez-Pérez B, de la Torre-Díez I, López-Coronado M, Herreros-González J. Mobile Apps in Cardiology: Review. JMIR mhealth and uhealth 2013;1(2):e15
    CrossRef
  20. Kapa S, Man JP, Supple GE. Future Trends in the Evolution of Remote Monitoring and Physiologic Sensing Technologies. Cardiac Electrophysiology Clinics 2013;5(3):371
    CrossRef
  21. Wang X, Bie R, Sun Y, Wu Z, Zhou M, Cao R, Xie L, Zhang D. The Architecture of an Automatic eHealth Platform With Mobile Client for Cerebrovascular Disease Detection. JMIR mhealth and uhealth 2013;1(2):e20
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2419)

:
  1. Liu B, Koc AB. Encyclopedia of Mobile Phone Behavior. 2015. chapter 35:410
    CrossRef