Literature DB >> 23557239

Comparison of ActiGraph activity monitors in persons with multiple sclerosis and controls.

Brian M Sandroff1, Robert W Motl.   

Abstract

PURPOSE: The current study compared output from the vertical axis of two models of ActiGraph accelerometers under free-living and laboratory conditions in persons with multiple sclerosis (MS) and matched controls.
METHOD: The sample included 41 cases of MS and 41 controls matched by age, sex, height and weight. Participants concurrently wore 7164 and GT3X accelerometers for 6 days under free-living conditions, and undertook up to five, 6-minute periods of walking at five speeds on a motor-driven treadmill.
RESULTS: Under free-living conditions, there was substantial, but not absolute, agreement (Intraclass correlation = 0.983) between devices and the output from the model 7164 accelerometer was significantly greater (p < 0.01) than that of the GT3X, resulting in a 7.0% difference between devices. The treadmill-walking conditions indicated that this difference in output between accelerometers was based on slow-walking speeds where there was a statistically significant (p < 0.01) and 30.3% discrepancy.
CONCLUSIONS: The ActiGraph model 7164 and GT3X accelerometers are not interchangeable under free-living conditions, and the discrepancy in measurement between devices might be explained by the difference in output under slow-walking conditions. Researchers and clinicians should be aware of the difference in output between generations of ActiGraph accelerometers, and perhaps other brands, in future applications involving persons with MS and controls.

Entities:  

Mesh:

Year:  2013        PMID: 23557239     DOI: 10.3109/09638288.2012.707745

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  8 in total

Review 1.  Motion sensors in multiple sclerosis: Narrative review and update of applications.

Authors:  Jeffer Eidi Sasaki; Brian Sandroff; Marcas Bamman; Robert W Motl
Journal:  Expert Rev Med Devices       Date:  2017-10-18       Impact factor: 3.166

Review 2.  Wearable biosensors to monitor disability in multiple sclerosis.

Authors:  Michael J Bradshaw; Samantha Farrow; Robert W Motl; Tanuja Chitnis
Journal:  Neurol Clin Pract       Date:  2017-08

Review 3.  Remote Physical Activity Monitoring in Neurological Disease: A Systematic Review.

Authors:  Valerie A J Block; Erica Pitsch; Peggy Tahir; Bruce A C Cree; Diane D Allen; Jeffrey M Gelfand
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

4.  Monitoring gait in multiple sclerosis with novel wearable motion sensors.

Authors:  Yaejin Moon; Ryan S McGinnis; Kirsten Seagers; Robert W Motl; Nirav Sheth; John A Wright; Roozbeh Ghaffari; Jacob J Sosnoff
Journal:  PLoS One       Date:  2017-02-08       Impact factor: 3.240

5.  Using real-world accelerometry-derived diurnal patterns of physical activity to evaluate disability in multiple sclerosis.

Authors:  Jennifer L Keller; Fan Tian; Kathryn C Fitzgerald; Leah Mische; Jesse Ritter; M Gabriela Costello; Ellen M Mowry; Vadim Zippunikov; Kathleen M Zackowski
Journal:  J Rehabil Assist Technol Eng       Date:  2022-01-12

6.  Three weeks of rehabilitation improves walking capacity but not daily physical activity in patients with multiple sclerosis with moderate to severe walking disability.

Authors:  Sandra Kuendig; Jan Kool; Ashley Polhemus; Wolfgang Schallert; Jens Bansi; Roman Rudolf Gonzenbach
Journal:  PLoS One       Date:  2022-09-19       Impact factor: 3.752

Review 7.  Physical Activity Monitoring in Patients with Neurological Disorders: A Review of Novel Body-Worn Devices.

Authors:  Oonagh M Giggins; Ieuan Clay; Lorcan Walsh
Journal:  Digit Biomark       Date:  2017-06-12

8.  Comparison of Two Generations of ActiGraph Accelerometers: The CARDIA Study.

Authors:  Kara M Whitaker; Kelley Pettee Gabriel; David R Jacobs; Stephen Sidney; Barbara Sternfeld
Journal:  Med Sci Sports Exerc       Date:  2018-06
  8 in total

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