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Citing this Article

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Published on 15.04.15 in Vol 3, No 2 (2015): Apr-Jun

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

Works citing "Validation of Physical Activity Tracking via Android Smartphones Compared to ActiGraph Accelerometer: Laboratory-Based and Free-Living Validation Studies"

Eric B Hekler, Matthew P Buman, Lauren Grieco, Mary Rosenberger, Sandra J Winter, William Haskell, Abby C King

JMIR Mhealth Uhealth 2015 (Apr 15); 3(2):e36 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3505):

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

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  19. Floegel TA, Florez-Pregonero A, Hekler EB, Buman MP. Validation of Consumer-Based Hip and Wrist Activity Monitors in Older Adults With Varied Ambulatory Abilities. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 2017;72(2):229
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  20. Funk MD, Salazar CL, Martinez M, Gonzalez J, Leyva P, Bassett D, Karabulut M. Validity of Smartphone Applications at Measuring Steps: Does Wear Location Matter?. Journal for the Measurement of Physical Behaviour 2019;2(1):22
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  28. Martin CA, Rivera DE, Hekler EB, Riley WT, Buman MP, Adams MA, Magann AB. Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions. IEEE Transactions on Control Systems Technology 2020;28(2):331
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  29. Yamamoto K, Ebara T, Matsuda F, Matsukawa T, Yamamoto N, Ishii K, Kurihara T, Yamada S, Matsuki T, Tani N, Kamijima M. Can self-monitoring mobile health apps reduce sedentary behavior? A randomized controlled trial. Journal of Occupational Health 2020;62(1)
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  30. Direito A, Walsh D, Hinbarji M, Albatal R, Tooley M, Whittaker R, Maddison R. Using the Intervention Mapping and Behavioral Intervention Technology Frameworks: Development of an mHealth Intervention for Physical Activity and Sedentary Behavior Change. Health Education & Behavior 2018;45(3):331
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  31. Hekler EB, Rivera DE, Martin CA, Phatak SS, Freigoun MT, Korinek E, Klasnja P, Adams MA, Buman MP. Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions. Journal of Medical Internet Research 2018;20(6):e214
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  37. Czmil A, Czmil S, Mazur D. A Method to Detect Type 1 Diabetes Based on Physical Activity Measurements Using a Mobile Device. Applied Sciences 2019;9(12):2555
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  39. Dabove P, Ghinamo G, Lingua AM. Inertial sensors for smartphones navigation. SpringerPlus 2015;4(1)
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  41. 손윤선 , Kim Jong Kwang , Daetaek Lee , 황봉연 , 이종도 , 김기언 . Validity Evaluation of the T-REX Triaxial Accelerometer To Measure Physical Activity by Exercise Types and T-REX Attachment Locations in Men and Women. The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science 2016;18(2):1
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  42. Li X, Wang Y, Zhang B, Ma J. PSDRNN: An Efficient and Effective HAR Scheme Based on Feature Extraction and Deep Learning. IEEE Transactions on Industrial Informatics 2020;16(10):6703
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  43. Younsun Son , Jong Kwang Kim , Yoon Jung Bae , Bong Yeon Hwang , Dae Taek Lee , Mi Young Lee , Chong-Do Lee , Keyeon KIM . Concurrent Validation of T-REX Accelerometer. IJASS(International Journal of Applied Sports Sciences) 2016;28(2):79
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  44. Lee W, Lin K, Seto E, Migliaccio GC. Wearable sensors for monitoring on-duty and off-duty worker physiological status and activities in construction. Automation in Construction 2017;83:341
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  45. Park CL, Cho D, Moore PJ. How does education lead to healthier behaviours? Testing the mediational roles of perceived control, health literacy and social support. Psychology & Health 2018;33(11):1416
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  46. Zhou M, Fukuoka Y, Goldberg K, Vittinghoff E, Aswani A. Applying machine learning to predict future adherence to physical activity programs. BMC Medical Informatics and Decision Making 2019;19(1)
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  47. Sullivan AN, Lachman ME. Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity. Frontiers in Public Health 2017;4
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  48. Wu R, Liaqat D, de Lara E, Son T, Rudzicz F, Alshaer H, Abed-Esfahani P, Gershon AS. Feasibility of Using a Smartwatch to Intensively Monitor Patients With Chronic Obstructive Pulmonary Disease: Prospective Cohort Study. JMIR mHealth and uHealth 2018;6(6):e10046
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  49. Pearson E, Prapavessis H, Higgins C, Petrella R, White L, Mitchell M. Adding team-based financial incentives to the Carrot Rewards physical activity app increases daily step count on a population scale: a 24-week matched case control study. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1)
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  50. Kumar DS, Galloway JC. Feasibility of a home-based environmental enrichment paradigm to enhance purposeful activities in adults with traumatic brain injury: a case series. Disability and Rehabilitation 2022;44(14):3559
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  51. Muntaner-Mas A, Martinez-Nicolas A, Quesada A, Cadenas-Sanchez C, Ortega FB. Smartphone App (2kmFIT-App) for Measuring Cardiorespiratory Fitness: Validity and Reliability Study. JMIR mHealth and uHealth 2021;9(1):e14864
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  52. Stålesen J, Westergren T, Herman Hansen B, Berntsen S. A Mapping Review of Physical Activity Recordings Derived From Smartphone Accelerometers. Journal of Physical Activity and Health 2020;17(11):1184
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  53. Mitchell MS, Orstad SL, Biswas A, Oh PI, Jay M, Pakosh MT, Faulkner G. Financial incentives for physical activity in adults: systematic review and meta-analysis. British Journal of Sports Medicine 2020;54(21):1259
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  54. Savi D, Graziano L, Giordani B, Schiavetto S, Vito CD, Migliara G, Simmonds NJ, Palange P, Elborn JS. New strategies of physical activity assessment in cystic fibrosis: a pilot study. BMC Pulmonary Medicine 2020;20(1)
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  55. Wang Y, Zhang Y, Bennell K, White DK, Wei J, Wu Z, He H, Liu S, Luo X, Hu S, Zeng C, Lei G. Physical Distancing Measures and Walking Activity in Middle-aged and Older Residents in Changsha, China, During the COVID-19 Epidemic Period: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(10):e21632
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  56. Wang Y, König LM, Reiterer H. A Smartphone App to Support Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning (SedVis): Development and Pilot Study. JMIR Formative Research 2021;5(1):e15369
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  57. McCarthy H, Potts HWW, Fisher A. Physical Activity Behavior Before, During, and After COVID-19 Restrictions: Longitudinal Smartphone-Tracking Study of Adults in the United Kingdom. Journal of Medical Internet Research 2021;23(2):e23701
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  59. Mohammed MHH, Al‐Qahtani MHH, Takken T. Effects of 12 weeks of recreational football (soccer) with caloric control on glycemia and cardiovascular health of adolescent boys with type 1 diabetes. Pediatric Diabetes 2021;22(4):625
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  60. Park J, Yoo E, Kim Y, Lee J. What Happened Pre- and during COVID-19 in South Korea? Comparing Physical Activity, Sleep Time, and Body Weight Status. International Journal of Environmental Research and Public Health 2021;18(11):5863
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  61. de Carvalho Lana R, Ribeiro de Paula A, Souza Silva AF, Vieira Costa PH, Polese JC. Validity of mHealth devices for counting steps in individuals with Parkinson's disease. Journal of Bodywork and Movement Therapies 2021;28:496
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  62. Pontin F, Lomax N, Clarke G, Morris MA. Socio-demographic determinants of physical activity and app usage from smartphone data. Social Science & Medicine 2021;284:114235
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  63. Lugade V, Kuntapun J, Prupetkaew P, Boripuntakul S, Verner E, Silsupadol P. Three-Day Remote Monitoring of Gait Among Young and Older Adults Using Participants’ Personal Smartphones. Journal of Aging and Physical Activity 2021;29(6):1026
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  64. Arumugam A, Samara SS, Shalash RJ, Qadah RM, Farhani AM, Alnajim HM, Alkalih HY. Does Google Fit provide valid energy expenditure measurements of functional tasks compared to those of Fibion accelerometer in healthy individuals? A cross-sectional study. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2021;15(6):102301
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.3505):

  1. Porszasz J, Stringer W, Casaburi R. Clinical Exercise Testing. 2018. 3:59
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  2. Dorsch AK, King CE, Dobkin BH. Neurorehabilitation Technology. 2016. Chapter 29:605
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  3. Zahran L, El-Beltagy M, Saleh M. Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. 2020. Chapter 62:673
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  4. Sariyska R, Montag C. Digital Phenotyping and Mobile Sensing. 2019. Chapter 4:45
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  5. Rodriguez VH, Medrano C, Plaza I, Corella C, Abarca A, Julian JA. Ambient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016). 2016. Chapter 6:49
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  6. Saito T, Ono R. Physical Therapy and Research in Patients with Cancer. 2022. Chapter 13:293
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  7. Sariyska R, Montag C. Digital Phenotyping and Mobile Sensing. 2023. Chapter 5:57
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