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Citing this Article

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Published on 19.09.16 in Vol 4, No 3 (2016): Jul-Sept

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

Works citing "Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions"

Gregory M Dominick, Kyle N Winfree, Ryan T Pohlig, Mia A Papas

JMIR Mhealth Uhealth 2016 (Sep 19); 4(3):e110 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.6281):

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

  1. Smith KC, Michl GL, Katz JN, Losina E. Meteorologic and Geographic Barriers to Physical Activity in a Workplace Wellness Program. Journal of Physical Activity and Health 2018;15(2):108
    CrossRef
  2. 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
    CrossRef
  3. Dominick GM, Winfree KN, Pohlig RT, Papas MA. Authors’ Reply to: Critique of “Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions” – Does Location of the Device Matter?. JMIR mHealth and uHealth 2017;5(2):e13
    CrossRef
  4. . Fitness band accuracy in older community dwelling adults. Health Informatics Journal 2019;25(3):676
    CrossRef
  5. Meyer N, Kerz M, Folarin A, Joyce DW, Jackson R, Karr C, Dobson R, MacCabe J. Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform. JMIR mHealth and uHealth 2018;6(10):e188
    CrossRef
  6. Degroote L, De Bourdeaudhuij I, Verloigne M, Poppe L, Crombez G. The Accuracy of Smart Devices for Measuring Physical Activity in Daily Life: Validation Study. JMIR mHealth and uHealth 2018;6(12):e10972
    CrossRef
  7. Green DR, Gerberich SG, Kim H, Ryan AD, McGovern PM, Church TR, Schwartz A, Arauz RF. Janitor workload and occupational injuries. American Journal of Industrial Medicine 2019;62(3):222
    CrossRef
  8. Laranjo L, Lau AYS, Martin P, Tong HL, Coiera E. Use of a mobile social networking intervention for weight management: a mixed-methods study protocol. BMJ Open 2017;7(7):e016665
    CrossRef
  9. Semanik P, Lee J, Pellegrini CA, Song J, Dunlop DD, Chang RW. Comparison of Physical Activity Measures Derived From the Fitbit Flex and the ActiGraph GT3X+ in an Employee Population With Chronic Knee Symptoms. ACR Open Rheumatology 2020;2(1):48
    CrossRef
  10. Jones DM, Hart HF, Crossley KM, Ackerman IN, Kemp JL. What is the Agreement Between Two Generations of Commercial Accelerometer in a Free-Living Environment for Young to Middle-Aged Adults?. Journal for the Measurement of Physical Behaviour 2019;2(2):49
    CrossRef
  11. Shan R, Yanek LR, Silverman-Lloyd LG, Kianoush S, Blaha MJ, German CA, Graham GN, Martin SS. Using Mobile Health Tools to Assess Physical Activity Guideline Adherence and Smoking Urges: Secondary Analysis of mActive-Smoke. JMIR Cardio 2020;4(1):e14963
    CrossRef
  12. Migueles JH, Cadenas-Sanchez C, Ortega FB. Critique of: “Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions”. JMIR mHealth and uHealth 2017;5(2):e15
    CrossRef
  13. Siddall AG, Powell SD, Needham‐Beck SC, Edwards VC, Thompson JE, Kefyalew SS, Singh PA, Orford ER, Venables MC, Jackson S, Greeves JP, Blacker SD, Myers SD. Validity of energy expenditure estimation methods during 10 days of military training. Scandinavian Journal of Medicine & Science in Sports 2019;29(9):1313
    CrossRef
  14. MA S, ZHU Z, ZHANG L, LIU X, LIN Y, CAO Z. Metabolic Effects of Three Different Activity Bouts during Sitting in Inactive Adults. Medicine & Science in Sports & Exercise 2020;52(4):851
    CrossRef
  15. Mikkelsen MK, Berg-Beckhoff G, Frederiksen P, Horgan G, O’Driscoll R, Palmeira AL, Scott SE, Stubbs J, Heitmann BL, Larsen SC, Bergman P. Estimating physical activity and sedentary behaviour in a free-living environment: A comparative study between Fitbit Charge 2 and Actigraph GT3X. PLOS ONE 2020;15(6):e0234426
    CrossRef
  16. Cahan EM, Hernandez-Boussard T, Thadaney-Israni S, Rubin DL. Putting the data before the algorithm in big data addressing personalized healthcare. npj Digital Medicine 2019;2(1)
    CrossRef
  17. Winfree KN, Dominick G. Modeling Clinically Validated Physical Activity Assessments Using Commodity Hardware. IEEE Journal of Biomedical and Health Informatics 2018;22(2):335
    CrossRef
  18. Liao Y, Schembre S. Acceptability of Continuous Glucose Monitoring in Free-Living Healthy Individuals: Implications for the Use of Wearable Biosensors in Diet and Physical Activity Research. JMIR mHealth and uHealth 2018;6(10):e11181
    CrossRef
  19. Redenius N, Kim Y, Byun W. Concurrent validity of the Fitbit for assessing sedentary behavior and moderate-to-vigorous physical activity. BMC Medical Research Methodology 2019;19(1)
    CrossRef
  20. Fellger A, Sprint G, Weeks D, Crooks E, Cook DJ. Wearable Device-Independent Next Day Activity and Next Night Sleep Prediction for Rehabilitation Populations. IEEE Journal of Translational Engineering in Health and Medicine 2020;8:1
    CrossRef
  21. Chu AHY, Ng SHX, Paknezhad M, Gauterin A, Koh D, Brown MS, Müller-Riemenschneider F, Buchowski M. Comparison of wrist-worn Fitbit Flex and waist-worn ActiGraph for measuring steps in free-living adults. PLOS ONE 2017;12(2):e0172535
    CrossRef
  22. 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
    CrossRef
  23. Jack nd RA, Lintner DM, Harris JD, McCulloch PC. Omegawave: an emerging technology and application in professional baseball pitchers. The Journal of Sports Medicine and Physical Fitness 2019;59(7)
    CrossRef
  24. Neil-Sztramko SE, Gotay CC, Sabiston CM, Demers PA, Campbell KC. Feasibility of a telephone and web-based physical activity intervention for women shift workers. Translational Behavioral Medicine 2017;7(2):268
    CrossRef
  25. Sirard JR, Masteller B, Freedson PS, Mendoza A, Hickey A. Validation of Youth Oriented Activity Trackers: Comprehensive Laboratory- and Field-Based Validation. Journal of Medical Internet Research 2017;19(7):e250
    CrossRef
  26. Mendoza AR, Lyden K, Sirard J, Staudenmayer J, Tudor-Locke C, Freedson PS. Step Count and Sedentary Time Validation of Consumer Activity Trackers and a Pedometer in Free-Living Settings. Journal for the Measurement of Physical Behaviour 2019;2(2):109
    CrossRef
  27. Wen D, Zhang X, Liu X, Lei J. Evaluating the Consistency of Current Mainstream Wearable Devices in Health Monitoring: A Comparison Under Free-Living Conditions. Journal of Medical Internet Research 2017;19(3):e68
    CrossRef
  28. LaMunion SR, Blythe AL, Hibbing PR, Kaplan AS, Clendenin BJ, Crouter SE. Use of consumer monitors for estimating energy expenditure in youth. Applied Physiology, Nutrition, and Metabolism 2020;45(2):161
    CrossRef
  29. Schumacher LM, Arigo D, Thomas C. Understanding physical activity lapses among women: responses to lapses and the potential buffering effect of social support. Journal of Behavioral Medicine 2017;40(5):740
    CrossRef
  30. Degroote L, Hamerlinck G, Poels K, Maher C, Crombez G, De Bourdeaudhuij I, Vandendriessche A, Curtis RG, DeSmet A. Low-Cost Consumer-Based Trackers to Measure Physical Activity and Sleep Duration Among Adults in Free-Living Conditions: Validation Study. JMIR mHealth and uHealth 2020;8(5):e16674
    CrossRef
  31. Nogic J, Thein PM, Cameron J, Mirzaee S, Ihdayhid A, Nasis A. The utility of personal activity trackers (Fitbit Charge 2) on exercise capacity in patients post acute coronary syndrome [UP-STEP ACS Trial]: a randomised controlled trial protocol. BMC Cardiovascular Disorders 2017;17(1)
    CrossRef
  32. Stock JM, Pohlig RT, Botieri MJ, Edwards DG, Dominick GM. Heart Rate Equivalency of the Fitbit Charge HR During Continuous Aerobic Exercise. Journal for the Measurement of Physical Behaviour 2018;1(3):122
    CrossRef
  33. Tong HL, Coiera E, Tong W, Wang Y, Quiroz JC, Martin P, Laranjo L. Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study. JMIR mHealth and uHealth 2019;7(3):e12181
    CrossRef
  34. Schubert C, Archer G, Zelis JM, Nordmeyer S, Runte K, Hennemuth A, Berger F, Falk V, Tonino PAL, Hose R, ter Horst H, Kuehne T, Kelm M. Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease. npj Digital Medicine 2020;3(1)
    CrossRef
  35. 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
    CrossRef
  36. Wieringa FP, Broers NJH, Kooman JP, Van Der Sande FM, Van Hoof C. Wearable sensors: can they benefit patients with chronic kidney disease?. Expert Review of Medical Devices 2017;14(7):505
    CrossRef
  37. Gorny AW, Liew SJ, Tan CS, Müller-Riemenschneider F. Fitbit Charge HR Wireless Heart Rate Monitor: Validation Study Conducted Under Free-Living Conditions. JMIR mHealth and uHealth 2017;5(10):e157
    CrossRef
  38. Berninger N, ten Hoor G, Plasqui G. Validation of the VitaBit Sit–Stand Tracker: Detecting Sitting, Standing, and Activity Patterns. Sensors 2018;18(3):877
    CrossRef
  39. Jalene S, Pharr J, Shan G, Poston B. Estimated Cardiorespiratory Fitness Is Associated With Reported Depression in College Students. Frontiers in Physiology 2019;10
    CrossRef
  40. Buchan K, Morgan HM. Using the Onitor® Track for weight loss: A mixed methods study among overweight and obese women. Health Informatics Journal 2020;26(3):1841
    CrossRef
  41. Silva GS, Yang H, Collins JE, Losina E. Validating Fitbit for Evaluation of Physical Activity in Patients with Knee Osteoarthritis: Do Thresholds Matter?. ACR Open Rheumatology 2019;1(9):585
    CrossRef
  42. Sprint G, Cook D, Weeks D, Dahmen J, La Fleur A. Analyzing Sensor-Based Time Series Data to Track Changes in Physical Activity during Inpatient Rehabilitation. Sensors 2017;17(10):2219
    CrossRef
  43. 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
    CrossRef
  44. Hao Y, Ma X, Zhu Z, Cao Z. Validity of Wrist-Wearable Activity Devices for Estimating Physical Activity in Adolescents: Comparative Study. JMIR mHealth and uHealth 2021;9(1):e18320
    CrossRef
  45. Hendker A, Jetzke M, Eils E, Voelcker-Rehage C. The Implication of Wearables and the Factors Affecting Their Usage among Recreationally Active People. International Journal of Environmental Research and Public Health 2020;17(22):8532
    CrossRef
  46. Manea V, Wac K. Co-Calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the coQoL Method. Journal of Personalized Medicine 2020;10(4):203
    CrossRef
  47. Gorzelitz J, Farber C, Gangnon R, Cadmus-Bertram L. Accuracy of Wearable Trackers for Measuring Moderate- to Vigorous-Intensity Physical Activity: A Systematic Review and Meta-Analysis. Journal for the Measurement of Physical Behaviour 2020;3(4):346
    CrossRef
  48. Sevil M, Rashid M, Maloney Z, Hajizadeh I, Samadi S, Askari MR, Hobbs N, Brandt R, Park M, Quinn L, Cinar A. Determining Physical Activity Characteristics From Wristband Data for Use in Automated Insulin Delivery Systems. IEEE Sensors Journal 2020;20(21):12859
    CrossRef
  49. Schumacher LM, Thomas C, Ainsworth MC, Arigo D. Social predictors of daily relations between college women’s physical activity intentions and behavior. Journal of Behavioral Medicine 2021;44(2):270
    CrossRef
  50. Jung S, Michaud M, Oudre L, Dorveaux E, Gorintin L, Vayatis N, Ricard D. The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review. Sensors 2020;20(19):5625
    CrossRef
  51. Ma JK, Chan A, Sandhu A, Li LC. Wearable Physical Activity Measurement Devices Used in Arthritis. Arthritis Care & Research 2020;72(S10):703
    CrossRef
  52. Kwon S, Burns RD, Kim Y, Bai Y, Byun W. Inter-Device Agreement between Fitbit Flex 1 and 2 for Assessing Sedentary Behavior and Physical Activity. International Journal of Environmental Research and Public Health 2021;18(5):2716
    CrossRef
  53. Altenbuchner A, Haug S, Weber K. Die ersten Schritte nach einer hüftnahen Fraktur. Zeitschrift für Gerontologie und Geriatrie 2021;54(6):555
    CrossRef
  54. Carpenter C, Yang C, West D. A Comparison of Sedentary Behavior as Measured by the Fitbit and ActivPAL in College Students. International Journal of Environmental Research and Public Health 2021;18(8):3914
    CrossRef
  55. Acker JG, Becker-Carus C, Büttner-Teleaga A, Cassel W, Danker-Hopfe H, Dück A, Frohn C, Hein H, Penzel T, Rodenbeck A, Roenneberg T, Sauter C, Weeß H, Zeitlhofer J, Richter K. The role of actigraphy in sleep medicine. Somnologie 2021;25(2):89
    CrossRef
  56. Orstad SL, Gerchow L, Patel NR, Reddy M, Hernandez C, Wilson DK, Jay M. Defining Valid Activity Monitor Data: A Multimethod Analysis of Weight-Loss Intervention Participants’ Barriers to Wear and First 100 Days of Physical Activity. Informatics 2021;8(2):39
    CrossRef
  57. Walsh JC, Richmond J, Mc Sharry J, Groarke A, Glynn L, Kelly MG, Harney O, Groarke JM. Examining the Impact of an mHealth Behavior Change Intervention With a Brief In-Person Component for Cancer Survivors With Overweight or Obesity: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(7):e24915
    CrossRef
  58. Degroote L, De Paepe A, De Bourdeaudhuij I, Van Dyck D, Crombez G. Effectiveness of the mHealth intervention ‘MyDayPlan’ to increase physical activity: an aggregated single case approach. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1)
    CrossRef
  59. Acker JG, Becker-Carus C, Büttner-Teleaga A, Cassel W, Danker-Hopfe H, Dück A, Frohn C, Hein H, Penzel T, Rodenbeck A, Roenneberg T, Sauter C, Weeß H, Zeitlhofer J, Richter K. Stellenwert der Aktigraphie in der schlafmedizinischen Versorgung. Somnologie 2022;26(1):32
    CrossRef
  60. Bienstock DM, Shankar D, Kim J, Gao M, Srivastava K, Bronson WH, Chaudhary SB, Poeran J, Iatridis JC, Hecht AC. Accelerometry Data Delineate Phases of Recovery and Supplement Patient-Reported Outcome Measures Following Lumbar Laminectomy. World Neurosurgery 2022;160:e608
    CrossRef
  61. Garza JL, Wu ZH, Singh M, Cherniack MG. Comparison of the Wrist-Worn Fitbit Charge 2 and the Waist-Worn Actigraph GTX3 for Measuring Steps Taken in Occupational Settings. Annals of Work Exposures and Health 2022;66(2):281
    CrossRef
  62. Nelson RK, Hasanaj K, Connolly G, Millen L, Muench J, Bidolli NS, Preston MA, Montoye AH. Comparison of Wrist- and Hip-Worn Activity Monitors When Meeting Step Guidelines. Preventing Chronic Disease 2022;19
    CrossRef
  63. Schmidt MD, Rathbun SL, Chu Z, Boudreaux BD, Hahn L, Novotny E, Johnsen K, Ahn SJ. Agreement between Fitbit and ActiGraph Estimates of Physical Activity in Young Children. Measurement in Physical Education and Exercise Science 2023;27(2):171
    CrossRef
  64. . Correlation Between Physical Activity Measured by a Wearable Device and Quality of Life in Older Adults. Physical Therapy Korea 2021;28(4):251
    CrossRef
  65. Giurgiu M, Timm I, Becker M, Schmidt S, Wunsch K, Nissen R, Davidovski D, Bussmann JBJ, Nigg CR, Reichert M, Ebner-Priemer UW, Woll A, von Haaren-Mack B. Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review. JMIR mHealth and uHealth 2022;10(6):e36377
    CrossRef
  66. Leung W, Case L, Sung M, Jung J. A meta-analysis of Fitbit devices: same company, different models, different validity evidence. Journal of Medical Engineering & Technology 2022;46(2):102
    CrossRef
  67. Matlary RED, Holme PA, Glosli H, Rueegg CS, Grydeland M. Comparison of free‐living physical activity measurements between ActiGraph GT3X‐BT and Fitbit Charge 3 in young people with haemophilia. Haemophilia 2022;28(6)
    CrossRef
  68. Park K, Kim S. Consumer wearable device-based measures of physical activity and energy expenditure in community-dwelling older adults with different levels of frailty: A STROBE compliant study. Medicine 2022;101(52):e31863
    CrossRef
  69. Souza SC, da Silva DF, Nagpal TS, Semeniuk K, Ferraro ZM, Redman L, Shen GX, Adamo KB. The short-term effect of a mHealth intervention on gestational weight gain and health behaviors: The SmartMoms Canada pilot study. Physiology & Behavior 2022;257:113977
    CrossRef
  70. Kariuki JK, Bizhanova Z, Conroy MB, Burke LE, Cheng J, Beatrice B, Sereika SM. The Association between Neighborhood Walkability and Physical Activity in a Behavioral Weight Loss Trial Testing the Addition of Remotely Delivered Feedback Messages to Self-Monitoring. Behavioral Medicine 2023;:1
    CrossRef
  71. Lee W, Lin J, Howard N, Bao S. Physiological responses, trunk posture, and work pace in commercial building cleaning in Washington State: An observational field study. Journal of Safety Research 2023;86:107
    CrossRef
  72. Vasileiou A, Searle D, Larsen SC, Magkos F, Horgan G, Stubbs RJ, Santos I, Palmeira AL, Heitmann BL. Comparing self-reported energy intake using an online dietary tool with energy expenditure by an activity tracker. Nutrition 2024;118:112258
    CrossRef
  73. Sánchez-Sánchez M, Campos-Asensio C, Arias-Rivera S. Workloads of intensive care nurses. Validity of their estimation using mobile applications and comparison with Nursing Activities Score. Systematised review of the literature. Enfermería Intensiva (English ed.) 2023;
    CrossRef
  74. Sánchez-Sánchez MDM, Campos-Asensio C, Arias-Rivera S. Cargas de trabajo de las enfermeras en cuidados intensivos. Validez de su estimación mediante aplicaciones para dispositivos móviles y comparación con nursing activities score. Revisión sistematizada de la literatura. Enfermería Intensiva 2024;
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  75. Rockette-Wagner B, Aggarwal R. A review of the evidence for the utility of physical activity monitor use in patients with idiopathic inflammatory myopathies. Rheumatology 2024;
    CrossRef
  76. Straiton N, Moons P, Verstrael A, Liu M, Winter MM. Beyond validation: getting wearable activity trackers into cardiovascular care—a discussion paper. European Journal of Cardiovascular Nursing 2024;
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