Published on 22.03.13 in Vol 15, No 3 (2013): March
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)
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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
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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)
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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
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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
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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
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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
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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
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de Sousa AFL, Bim LL, Schneider G, Hermann PRDS, de Andrade D, Fronteira I. m-Health in the Surgical Context: Prospecting, Review and Analysis of Mobile Applications. The Open Nursing Journal 2019;13(1):18
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Yoo BW, Wenger NK. Gender Disparities in Cardiac Rehabilitation Among Older Women. Clinics in Geriatric Medicine 2019;35(4):587
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Fijacko N, Brzan PP, Stiglic G. Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review. Journal of Medical Systems 2015;39(10)
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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;2015(7)
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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
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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 2019;100(1):115
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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)
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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
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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
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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
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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
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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
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Muzas Fernández A, Soto González M. Utilización de smartphone en los programas de rehabilitación cardíaca. Una revisión sistemática. Rehabilitación 2018;52(4):238
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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
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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
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Bostrom J, Sweeney G, Whiteson J, Dodson JA. Mobile health and cardiac rehabilitation in older adults. Clinical Cardiology 2020;43(2):118
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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
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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;6:205520761989984
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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
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Shoemaker MJ, 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
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Leung AYM, Su JJ, Lee ESH, Fung JTS, 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)
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Hudgens S, Newton L, Eremenco S, Crescioni M, Symonds T, Griffiths PCG, Reasner DS, 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)
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Huffman JC, Harnedy LE, Massey CN, Carrillo A, Feig EH, Chung W, Celano CM. A phone and text message intervention to improve physical activity in midlife: initial feasibility testing. Health Psychology and Behavioral Medicine 2022;10(1):291
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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
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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
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Graham HL, Benton MJ. Comparison of Lean Mass in Women With and Without Heart Disease. Journal of Cardiopulmonary Rehabilitation and Prevention 2022;42(1):34
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2419):