Literature DB >> 23998384

Physical activity monitoring: addressing the difficulties of accurately detecting slow walking speeds.

Samantha L Harrison1, Elizabeth J Horton, Robert Smith, Carolyn J Sandland, Michael C Steiner, Mike D L Morgan, Sally J Singh.   

Abstract

OBJECTIVE: To test the accuracy of a multi-sensor activity monitor (SWM) in detecting slow walking speeds in patients with chronic obstructive pulmonary disease (COPD).
BACKGROUND: Concerns have been expressed regarding the use of pedometers in patient populations. Although activity monitors are more sophisticated devices, their accuracy at detecting slow walking speeds common in patients with COPD has yet to be proven.
METHODS: A prospective observational study design was employed. An incremental shuttle walk test (ISWT) was completed by 57 patients with COPD wearing an SWM. The ISWT was repeated by 20 patients wearing the same SWM.
RESULTS: Differences were identified between metabolic equivalents (METS) and between step-count across five levels of the ISWT (p < 0.001). Good within monitor reproducibility between two ISWT was identified for total energy expenditure and step-count (p < 0.001).
CONCLUSIONS: The SWM is able to detect slow (standardized) speeds of walking and is an acceptable method for measuring physical activity in individuals disabled by COPD.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  6MWT; COPD; CV; Chronic obstructive pulmonary disease; ESWT; FEV(1); FEV(1)/FVC ratio; GOLD; ISWT; Incremental shuttle walk test; METS; PR; Physical activity; RER; Reliability and validity; SWM; Sensitivity; chronic obstructive pulmonary disease; coefficient of variance; endurance shuttle walking test; forced expiratory volume in 1 s/forced vital capacity; forced expiratory volume in 1 s; global initiative for obstructive lung disease; incremental shuttle walking test; metabolic equivalents; pulmonary rehabilitation; respiratory exchange ratio; six minute walk test; the multi-sensor activity monitor (SenseWear PRO2 Armband)

Mesh:

Year:  2013        PMID: 23998384     DOI: 10.1016/j.hrtlng.2013.06.004

Source DB:  PubMed          Journal:  Heart Lung        ISSN: 0147-9563            Impact factor:   2.210


  3 in total

1.  Step detection and activity recognition accuracy of seven physical activity monitors.

Authors:  Fabio A Storm; Ben W Heller; Claudia Mazzà
Journal:  PLoS One       Date:  2015-03-19       Impact factor: 3.240

2.  Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes: Results from the Future Patient Trial, Phase I.

Authors:  Soren Leth; John Hansen; Olav W Nielsen; Birthe Dinesen
Journal:  Sensors (Basel)       Date:  2017-01-22       Impact factor: 3.576

3.  The Accuracy of Pedometers in Measuring Walking Steps on a Treadmill in College Students.

Authors:  Hannah M Husted; Tamra L Llewellyn
Journal:  Int J Exerc Sci       Date:  2017-01-01
  3 in total

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