Literature DB >> 23920659

The usefulness of activity trackers in elderly with reduced mobility: a case study.

Jonas Lauritzen1, Adolfo Muñoz, Jose Luis Sevillano, Anton Civit.   

Abstract

UNLABELLED: This study was conducted to determine the accuracy and usefulness of two current commercially available activity trackers in rollator dependent elderly with reduced mobility (RME), compared with elderly with normal mobility (NME) and healthy adults (HA).
METHODS: Accuracy of pedometers placed at hip (Fitbit Ultra and Samsung GT-I9300 mobile phone) and wrist (Fitbit Ultra) were evaluated against actual steps (video) in RME (n=5), NME (n=7) and HA (n=6). Walk speed, Tinetti gait score and device percent error was calculated and analyzed in SPSS using Kruskal-Wallis, Mann-Whitney U and correlation tests.
RESULTS: NME and HA walked significantly faster (p = 0.001) than RME, had significantly higher gait score (p < 0.05). Gait scores were correlated with walking speed and negatively with pedometer percent error (p < 0.01). Estimation error in RME were >60% at all device locations
CONCLUSIONS: Slow walking speed and gait disorders hamper the utility of pedometers for physical activity measurement in rollator dependent elderly, with estimation errors >60%. The tested devices are better suited for use by ostensibly healthy elderly or adult populations.

Entities:  

Mesh:

Year:  2013        PMID: 23920659

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  32 in total

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Authors:  Ignacio Perez-Pozuelo; Bing Zhai; Joao Palotti; Raghvendra Mall; Michaël Aupetit; Juan M Garcia-Gomez; Shahrad Taheri; Yu Guan; Luis Fernandez-Luque
Journal:  NPJ Digit Med       Date:  2020-03-23

2.  Validation of Consumer-Based Hip and Wrist Activity Monitors in Older Adults With Varied Ambulatory Abilities.

Authors:  Theresa A Floegel; Alberto Florez-Pregonero; Eric B Hekler; Matthew P Buman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2016-06-02       Impact factor: 6.053

Review 3.  Physical Activity Monitoring in Patients with Chronic Obstructive Pulmonary Disease.

Authors:  Shu-Yi Liao; Roberto Benzo; Andrew L Ries; Xavier Soler
Journal:  Chronic Obstr Pulm Dis       Date:  2014-09-25

4.  Physiotherapists' and Physiotherapy Students' Perspectives on the Use of Mobile or Wearable Technology in Their Practice.

Authors:  Jenna Blumenthal; Andrea Wilkinson; Mark Chignell
Journal:  Physiother Can       Date:  2018       Impact factor: 1.037

Review 5.  Systematic review of the validity and reliability of consumer-wearable activity trackers.

Authors:  Kelly R Evenson; Michelle M Goto; Robert D Furberg
Journal:  Int J Behav Nutr Phys Act       Date:  2015-12-18       Impact factor: 6.457

6.  Patient-centered activity monitoring in the self-management of chronic health conditions.

Authors:  Emil Chiauzzi; Carlos Rodarte; Pronabesh DasMahapatra
Journal:  BMC Med       Date:  2015-04-09       Impact factor: 8.775

7.  Free-Living Physical Activity Monitoring in Adult US Patients with Multiple Sclerosis Using a Consumer Wearable Device.

Authors:  Pronabesh DasMahapatra; Emil Chiauzzi; Rishi Bhalerao; Jane Rhodes
Journal:  Digit Biomark       Date:  2018-04-13

8.  Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis.

Authors:  Kathryn Mercer; Melissa Li; Lora Giangregorio; Catherine Burns; Kelly Grindrod
Journal:  JMIR Mhealth Uhealth       Date:  2016-04-27       Impact factor: 4.773

9.  Acceptance of Commercially Available Wearable Activity Trackers Among Adults Aged Over 50 and With Chronic Illness: A Mixed-Methods Evaluation.

Authors:  Kathryn Mercer; Lora Giangregorio; Eric Schneider; Parmit Chilana; Melissa Li; Kelly Grindrod
Journal:  JMIR Mhealth Uhealth       Date:  2016-01-27       Impact factor: 4.773

10.  Influence of Pedometer Position on Pedometer Accuracy at Various Walking Speeds: A Comparative Study.

Authors:  Frederic Ehrler; Chloé Weber; Christian Lovis
Journal:  J Med Internet Res       Date:  2016-10-06       Impact factor: 5.428

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