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Step counting and energy expenditure estimation in patients with chronic obstructive pulmonary disease and healthy elderly : accuracy of 2 motion sensors

Article consultable sur : http://www.archives-pmr.org

OBJECTIVE: To compare the accuracy of 2 motion sensors (a pedometer and a
multisensor) in terms of step counting and estimation of energy expenditure (EE)
in patients with chronic obstructive pulmonary disease (COPD) and in healthy
elderly. DESIGN: In this descriptive study, all participants wore both motion
sensors while performing a treadmill walking protocol at 3 different speeds
corresponding to 30%, 60%, and 100% of the average speed achieved during a
six-minute walk test. As criterion methods, EE was estimated by indirect
calorimetry, and steps were registered by videotape. SETTING: Research laboratory
at a university hospital. PARTICIPANTS: Patients with COPD (n=30; 17 men; mean
age +/- SD, 67+/-8 y; mean forced expiratory volume in the first second [FEV(1)]
predicted +/- SD, 46%+/-17%; mean body mass index [BMI] +/- SD, 24+/-4 kg.m(2))
and matched healthy elderly (n=30; 15 men; mean age +/- SD, 68+/-7 y; mean FEV(1)
predicted +/- SD, 104%+/-21%; mean BMI +/- SD, 25+/-3 kg.m(2)). INTERVENTIONS:
Not applicable. MAIN OUTCOME MEASURE: Step counting and EE estimation during a
treadmill walking protocol. RESULTS: The pedometer was accurate for step counting
and EE estimation in both patients with COPD and healthy elderly at the higher
speed. However, it showed significant underestimation at the 2 slower speeds in
both groups. The multisensor did not detect steps accurately at any speed,
although it accurately estimated EE at all speeds in healthy elderly and at the
intermediate and higher speeds in patients with COPD. CONCLUSIONS: In both
patients with COPD and healthy elderly, the multisensor showed better EE
estimates during most walking speeds than the pedometer. Conversely, for step
counting, accuracy is observed only with the pedometer during the higher walking
speed in both groups.
CI - Copyright 2010 American Congress of Rehabilitation Medicine. Published by
Elsevier Inc. All rights reserved.

Langue : ANGLAIS

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