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

Research Instruments, Questionnaires, and Tools (576)

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

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

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

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

Authors of this article:

Leila Pfaeffli1 ;   Ralph Maddison1 ;   Yannan Jiang1 ;   Lance Dalleck2 ;   Marie Löf3
Article Authors Cited by (36) Tweetations (11) Metrics

Journals

  1. Toledo M, 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 View
  2. Beatty A, Fukuoka Y, Whooley M. Using Mobile Technology for Cardiac Rehabilitation: A Review and Framework for Development and Evaluation. Journal of the American Heart Association 2013;2(6) View
  3. Kim J, Kwon S, Shim S, Sun H, Ko Y, Chun D, Yang W, Song Y. 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 View
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  9. Yoo B, Wenger N. Gender Disparities in Cardiac Rehabilitation Among Older Women. Clinics in Geriatric Medicine 2019;35(4):587 View
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  11. Marcano Belisario J, Jamsek J, Huckvale K, O'Donoghue J, Morrison C, Car J. Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods. Cochrane Database of Systematic Reviews 2015;2015(7) View
  12. 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 View
  13. Nussbaum R, Kelly C, Quinby E, Mac A, Parmanto B, Dicianno B. Systematic Review of Mobile Health Applications in Rehabilitation. Archives of Physical Medicine and Rehabilitation 2019;100(1):115 View
  14. de Garibay V, Fernández M, 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) View
  15. Saint-Maurice P, Welk G. Web-Based Assessments of Physical Activity in Youth: Considerations for Design and Scale Calibration. Journal of Medical Internet Research 2014;16(12):e269 View
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  17. Kapa S, Man J, Supple G. Future Trends in the Evolution of Remote Monitoring and Physiologic Sensing Technologies. Cardiac Electrophysiology Clinics 2013;5(3):371 View
  18. 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 View
  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 View
  20. Muzas Fernández A, Soto González M. Utilización de smartphone en los programas de rehabilitación cardíaca. Una revisión sistemática. Rehabilitación 2018;52(4):238 View
  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 View
  22. 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 View
  23. Bostrom J, Sweeney G, Whiteson J, Dodson J. Mobile health and cardiac rehabilitation in older adults. Clinical Cardiology 2020;43(2):118 View
  24. 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 View
  25. Houle J, Gallani M, Pettigrew M, Laflamme G, Mathieu L, Boudreau F, Poirier P, Cossette S. Acceptability of a computer-tailored and pedometer-based socio-cognitive intervention in a secondary coronary heart disease prevention program: A qualitative study. DIGITAL HEALTH 2020;6 View
  26. Fischer F, Kleen S. Possibilities, Problems, and Perspectives of Data Collection by Mobile Apps in Longitudinal Epidemiological Studies: Scoping Review. Journal of Medical Internet Research 2021;23(1):e17691 View
  27. Shoemaker M, Mattern M, Scholten H, Zeitler J, Gore S. Subjective Daily Physical Activity Measures in Heart Disease: A Systematic Review. Journal of Physical Activity and Health 2021;18(4):450 View
  28. Leung A, Su J, Lee E, Fung J, Molassiotis A. Intrinsic capacity of older people in the community using WHO Integrated Care for Older People (ICOPE) framework: a cross-sectional study. BMC Geriatrics 2022;22(1) View
  29. Hudgens S, Newton L, Eremenco S, Crescioni M, Symonds T, Griffiths P, Reasner D, Byrom B, O’Donohoe P, Vallow S. Comparability of a provisioned device versus bring your own device for completion of patient-reported outcome measures by participants with chronic obstructive pulmonary disease: quantitative study findings. Journal of Patient-Reported Outcomes 2022;6(1) View
  30. Huffman J, Harnedy L, Massey C, Carrillo A, Feig E, Chung W, Celano C. A phone and text message intervention to improve physical activity in midlife: initial feasibility testing. Health Psychology and Behavioral Medicine 2022;10(1):291 View
  31. Lei J, Huang X, Huang H, Chu H, Wang J, Jiang X. The Internet of things technology in the rehabilitation for the disabled in China: A survey. EAI Endorsed Transactions on Internet of Things 2022;8(29):e4 View
  32. Banerjee B, Dutt D, Saha I, Paul B, Lachyan A. Effectiveness of mHealth for modification of dietary habits and physical activity among individuals at risk or suffering from noncommunicable diseases in primary healthcare settings in South East Asian Region countries – A systematic review and meta-analysis. International Journal of Noncommunicable Diseases 2022;7(4):161 View
  33. Graham H, Benton M. Comparison of Lean Mass in Women With and Without Heart Disease. Journal of Cardiopulmonary Rehabilitation and Prevention 2022;42(1):34 View
  34. Freene N, Hartono S, McManus M, Mair T, Tan R, Davey R. Validity of the active Australia survey in an Australian cardiac rehabilitation population. Journal of Science and Medicine in Sport 2024 View

Books/Policy Documents

  1. Liu B, Koc A. Encyclopedia of Mobile Phone Behavior. View
  2. Namba H. Advanced Virtual Assistants - A Window to the Virtual Future [Working Title]. View