Published on 28.06.17 in Vol 5, No 6 (2017): June
Works citing "Mobile Device Accuracy for Step Counting Across Age Groups"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7870):
(note that this is only a small subset of citations)
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Chao DY, Lin TM, Ma W. Enhanced Self-Efficacy and Behavioral Changes Among Patients With Diabetes: Cloud-Based Mobile Health Platform and Mobile App Service. JMIR Diabetes 2019;4(2):e11017
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Henriksen A, Haugen Mikalsen M, Woldaregay AZ, Muzny M, Hartvigsen G, Hopstock LA, Grimsgaard S. Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables. Journal of Medical Internet Research 2018;20(3):e110
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Cox SM, Lane A, Volchenboum SL. Use of Wearable, Mobile, and Sensor Technology in Cancer Clinical Trials. JCO Clinical Cancer Informatics 2018;(2):1
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Collins JE, Yang HY, Trentadue TP, Gong Y, Losina E, Parmenter B. Validation of the Fitbit Charge 2 compared to the ActiGraph GT3X+ in older adults with knee osteoarthritis in free-living conditions. PLOS ONE 2019;14(1):e0211231
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Ortiz‐Rubio P, Oladunjoye A, Agus MSD, Steil GM. Adjusting Insulin Delivery to Activity (AIDA) clinical trial: Effects of activity‐based insulin profiles on glucose control in children with type 1 diabetes. Pediatric Diabetes 2018;19(8):1451
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Park S, Toth LP, Crouter SE, Springer CM, Marcotte RT, Bassett DR. Effect of Monitor Placement on the Daily Step Counts of Wrist and Hip Activity Monitors. Journal for the Measurement of Physical Behaviour 2020;3(2):164
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Park S, Toth LP, Hibbing PR, Springer CM, Kaplan AS, Feyerabend MD, Crouter SE, Bassett DR. Dominant vs. Non-Dominant Wrist Placement of Activity Monitors: Impact on Steps per Day. Journal for the Measurement of Physical Behaviour 2019;2(2):118
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Navalta JW, Montes J, Bodell NG, Aguilar CD, Lujan A, Guzman G, Kam BK, Manning JW, DeBeliso M. Wearable Device Validity in Determining Step Count During Hiking and Trail Running. Journal for the Measurement of Physical Behaviour 2018;1(2):86
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Feehan LM, Geldman J, Sayre EC, Park C, Ezzat AM, Yoo JY, Hamilton CB, Li LC. Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data. JMIR mHealth and uHealth 2018;6(8):e10527
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Bunn JA, Jones C, Oliviera A, Webster MJ. Assessment of step accuracy using the Consumer Technology Association standard. Journal of Sports Sciences 2019;37(3):244
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Wu J, Ho T, Chang Y, Hsu C, Tsai CJ, Lai F, Lin M. Wearable-Based Mobile Health App in Gastric Cancer Patients for Postoperative Physical Activity Monitoring: Focus Group Study. JMIR mHealth and uHealth 2019;7(4):e11989
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Liang Z, Chapa-Martell MA. Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific Factors. JMIR mHealth and uHealth 2019;7(6):e13384
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Kennedy AB, Hales SB. Tools Clinicians Can Use to Help Get Patients Active. Current Sports Medicine Reports 2018;17(8):271
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Seewald NJ, Smith SN, Lee AJ, Klasnja P, Murphy SA. Practical Considerations for Data Collection and Management in Mobile Health Micro-randomized Trials. Statistics in Biosciences 2019;11(2):355
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Fuller D, Colwell E, Low J, Orychock K, Tobin MA, Simango B, Buote R, Van Heerden D, Luan H, Cullen K, Slade L, Taylor NGA. Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review. JMIR mHealth and uHealth 2020;8(9):e18694
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Piccinini F, Martinelli G, Carbonaro A. Accuracy of Mobile Applications versus Wearable Devices in Long-Term Step Measurements. Sensors 2020;20(21):6293
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Krittanawong C, Rogers AJ, Johnson KW, Wang Z, Turakhia MP, Halperin JL, Narayan SM. Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management. Nature Reviews Cardiology 2021;18(2):75
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Macedo LG, Richardson J, Battie MC, Hancock M, Kwan M, Hladysh G, Zhuo L. Back to living well: community-based management of low back pain: a feasibility study. Pilot and Feasibility Studies 2021;7(1)
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Lunney M, Wiebe N, Kusi-Appiah E, Tonelli A, Lewis R, Ferber R, Tonelli M. Wearable Fitness Trackers to Predict Clinical Deterioration in Maintenance Hemodialysis: A Prospective Cohort Feasibility Study. Kidney Medicine 2021;3(5):768
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Park S, Marcotte RT, Toth LP, Paulus P, Lauricella LP, Kim AH, Crouter SE, Springer CM, Staudenmayer JW, Bassett DR. Free-Living Validation and Harmonization of 10 Wearable Step Count Monitors. Translational Journal of the American College of Sports Medicine 2021;6(4)
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Nilsen I, Andersson A, Laurenius A, Osterberg J, Sundbom M, Haenni A. Lower Interstitial Glucose Concentrations but Higher Glucose Variability during Low-Energy Diet Compared to Regular Diet—An Observational Study in Females with Obesity. Nutrients 2021;13(11):3687
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Goh CMJL, Wang NX, Müller AM, Yap R, Edney S, Müller-Riemenschneider F. Validation of Smartphones and Different Low-Cost Activity Trackers for Step Counting Under Free-Living Conditions. Journal for the Measurement of Physical Behaviour 2023;:1
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Chrismas BCR, Majed L, Al-Mohannadi AS, Sayegh S. Adherence and retention to the self-managed community-based Step Into Health program in Qatar (2012–2019). Frontiers in Public Health 2022;10
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Chevance G, Golaszewski NM, Tipton E, Hekler EB, Buman M, Welk GJ, Patrick K, Godino JG. Accuracy and Precision of Energy Expenditure, Heart Rate, and Steps Measured by Combined-Sensing Fitbits Against Reference Measures: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e35626
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Shi K, Chen Z, Li X, Xiao Z, Sun W, Hu W. Inferring Activity Patterns from Sparse Step Counts Data with Recurrent Neural Networks. ACM Transactions on Computing for Healthcare 2023;4(1):1
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Burns D, Boyer P, Arrowsmith C, Whyne C. Personalized Activity Recognition with Deep Triplet Embeddings. Sensors 2022;22(14):5222
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Cheng SW, Alison JA, Stamatakis E, Dennis SM, McKeough ZJ. Validity and Accuracy of Step Count as an Indicator of a Sedentary Lifestyle in People With Chronic Obstructive Pulmonary Disease. Archives of Physical Medicine and Rehabilitation 2023;104(8):1243
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Culvenor AG, West TJ, Bruder AM, Scholes MJ, Barton CJ, Roos EM, Oei E, McPhail SM, Souza RB, Lee J, Patterson BE, Girdwood MA, Couch JL, Crossley KM. SUpervised exercise-therapy and Patient Education Rehabilitation (SUPER) versus minimal intervention for young adults at risk of knee osteoarthritis after ACL reconstruction: SUPER-Knee randomised controlled trial protocol. BMJ Open 2023;13(1):e068279
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Lederer L, Breton A, Jeong H, Master H, Roghanizad AR, Dunn J. The Importance of Data Quality Control in Using Fitbit Device Data From the Research Program. JMIR mHealth and uHealth 2023;11:e45103
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Yuan J, Zhang Y, Liu S, Zhu R. Wearable Leg Movement Monitoring System for High-Precision Real-Time Metabolic Energy Estimation and Motion Recognition. Research 2023;6
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Perry AS, Dooley EE, Master H, Spartano NL, Brittain EL, Pettee Gabriel K. Physical Activity Over the Lifecourse and Cardiovascular Disease. Circulation Research 2023;132(12):1725
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SMALL SR, KHALID S, PRICE AJ, DOHERTY A. Device-Measured Physical Activity in 3506 Individuals with Knee or Hip Arthroplasty. Medicine & Science in Sports & Exercise 2024;56(5):805
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.7870):
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Klebbe R, Steinert A, Buchem I, Müller-Werdan U. Learning and Collaboration Technologies. Ubiquitous and Virtual Environments for Learning and Collaboration. 2019. Chapter 24:312
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Xiao T, Albert MV. Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues. 2021. Chapter 2:11
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