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

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

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

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

Journals

  1. Smith K, Michl G, Katz J, Losina E. Meteorologic and Geographic Barriers to Physical Activity in a Workplace Wellness Program. Journal of Physical Activity and Health 2018;15(2):108 View
  2. Henriksen A, Haugen Mikalsen M, Woldaregay A, Muzny M, Hartvigsen G, Hopstock L, 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 View
  3. Dominick G, Winfree K, Pohlig R, Papas M. 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 View
  4. Madigan E. Fitness band accuracy in older community dwelling adults. Health Informatics Journal 2019;25(3):676 View
  5. Meyer N, Kerz M, Folarin A, Joyce D, 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 View
  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 View
  7. Green D, Gerberich S, Kim H, Ryan A, McGovern P, Church T, Schwartz A, Arauz R. Janitor workload and occupational injuries. American Journal of Industrial Medicine 2019;62(3):222 View
  8. Laranjo L, Lau A, Martin P, Tong H, Coiera E. Use of a mobile social networking intervention for weight management: a mixed-methods study protocol. BMJ Open 2017;7(7):e016665 View
  9. Semanik P, Lee J, Pellegrini C, Song J, Dunlop D, Chang R. 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 View
  10. Jones D, Hart H, Crossley K, Ackerman I, Kemp J. 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 View
  11. Shan R, Yanek L, Silverman-Lloyd L, Kianoush S, Blaha M, German C, Graham G, Martin S. Using Mobile Health Tools to Assess Physical Activity Guideline Adherence and Smoking Urges: Secondary Analysis of mActive-Smoke. JMIR Cardio 2020;4(1):e14963 View
  12. Migueles J, Cadenas-Sanchez C, Ortega F. 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 View
  13. Siddall A, Powell S, Needham‐Beck S, Edwards V, Thompson J, Kefyalew S, Singh P, Orford E, Venables M, Jackson S, Greeves J, Blacker S, Myers S. Validity of energy expenditure estimation methods during 10 days of military training. Scandinavian Journal of Medicine & Science in Sports 2019;29(9):1313 View
  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 View
  15. Mikkelsen M, Berg-Beckhoff G, Frederiksen P, Horgan G, O’Driscoll R, Palmeira A, Scott S, Stubbs J, Heitmann B, Larsen S, 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 View
  16. Cahan E, Hernandez-Boussard T, Thadaney-Israni S, Rubin D. Putting the data before the algorithm in big data addressing personalized healthcare. npj Digital Medicine 2019;2(1) View
  17. Winfree K, Dominick G. Modeling Clinically Validated Physical Activity Assessments Using Commodity Hardware. IEEE Journal of Biomedical and Health Informatics 2018;22(2):335 View
  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 View
  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) View
  20. Fellger A, Sprint G, Weeks D, Crooks E, Cook D. 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 View
  21. Chu A, Ng S, Paknezhad M, Gauterin A, Koh D, Brown M, 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 View
  22. Feehan L, Geldman J, Sayre E, Park C, Ezzat A, Yoo J, Hamilton C, Li L. Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data. JMIR mHealth and uHealth 2018;6(8):e10527 View
  23. Jack nd R, Lintner D, Harris J, McCulloch P. Omegawave: an emerging technology and application in professional baseball pitchers. The Journal of Sports Medicine and Physical Fitness 2019;59(7) View
  24. Neil-Sztramko S, Gotay C, Sabiston C, Demers P, Campbell K. Feasibility of a telephone and web-based physical activity intervention for women shift workers. Translational Behavioral Medicine 2017;7(2):268 View
  25. Sirard J, Masteller B, Freedson P, 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 View
  26. Mendoza A, Lyden K, Sirard J, Staudenmayer J, Tudor-Locke C, Freedson P. 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 View
  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 View
  28. LaMunion S, Blythe A, Hibbing P, Kaplan A, Clendenin B, Crouter S. Use of consumer monitors for estimating energy expenditure in youth. Applied Physiology, Nutrition, and Metabolism 2020;45(2):161 View
  29. Schumacher L, 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 View
  30. Degroote L, Hamerlinck G, Poels K, Maher C, Crombez G, De Bourdeaudhuij I, Vandendriessche A, Curtis R, 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 View
  31. Nogic J, Thein P, 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) View
  32. Stock J, Pohlig R, Botieri M, Edwards D, Dominick G. Heart Rate Equivalency of the Fitbit Charge HR During Continuous Aerobic Exercise. Journal for the Measurement of Physical Behaviour 2018;1(3):122 View
  33. Tong H, Coiera E, Tong W, Wang Y, Quiroz J, 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 View
  34. Schubert C, Archer G, Zelis J, Nordmeyer S, Runte K, Hennemuth A, Berger F, Falk V, Tonino P, 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) View
  35. Fuller D, Colwell E, Low J, Orychock K, Tobin M, Simango B, Buote R, Van Heerden D, Luan H, Cullen K, Slade L, Taylor N. 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 View
  36. Wieringa F, Broers N, Kooman J, Van Der Sande F, Van Hoof C. Wearable sensors: can they benefit patients with chronic kidney disease?. Expert Review of Medical Devices 2017;14(7):505 View
  37. Gorny A, Liew S, Tan C, 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 View
  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 View
  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 View
  40. Buchan K, Morgan H. Using the Onitor® Track for weight loss: A mixed methods study among overweight and obese women. Health Informatics Journal 2020;26(3):1841 View
  41. Silva G, Yang H, Collins J, Losina E. Validating Fitbit for Evaluation of Physical Activity in Patients with Knee Osteoarthritis: Do Thresholds Matter?. ACR Open Rheumatology 2019;1(9):585 View
  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 View
  43. Collins J, Yang H, Trentadue T, 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 View
  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 View
  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 View
  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 View
  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 View
  48. Sevil M, Rashid M, Maloney Z, Hajizadeh I, Samadi S, Askari M, 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 View
  49. Schumacher L, Thomas C, Ainsworth M, Arigo D. Social predictors of daily relations between college women’s physical activity intentions and behavior. Journal of Behavioral Medicine 2021;44(2):270 View
  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 View
  51. Ma J, Chan A, Sandhu A, Li L. Wearable Physical Activity Measurement Devices Used in Arthritis. Arthritis Care & Research 2020;72(S10):703 View
  52. Kwon S, Burns R, 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 View
  53. Altenbuchner A, Haug S, Weber K. Die ersten Schritte nach einer hüftnahen Fraktur. Zeitschrift für Gerontologie und Geriatrie 2021 View
  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 View
  55. Acker J, 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 View
  56. Orstad S, Gerchow L, Patel N, Reddy M, Hernandez C, Wilson D, 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 View
  57. Walsh J, Richmond J, Mc Sharry J, Groarke A, Glynn L, Kelly M, Harney O, Groarke J. 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 View
  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) View
  59. Acker J, 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 2021 View