Literature DB >> 25635408

Validity of Physical Activity Monitors for Estimating Energy Expenditure During Wheelchair Propulsion.

Scott A Conger1, Stacy N Scott, Eugene C Fitzhugh, Dixie L Thompson, David R Bassett.   

Abstract

BACKGROUND: It is unknown if activity monitors can detect the increased energy expenditure (EE) of wheelchair propulsion at different speeds or on different surfaces.
METHODS: Individuals who used manual wheelchairs (n = 14) performed 5 wheeling activities: on a level surface at 3 speeds, on a rubberized track at 1 fixed speed and on a sidewalk course at a self-selected speed. EE was measured using a portable indirect calorimetry system and estimated by an Actical (AC) worn on the wrist and a SenseWear (SW) activity monitor worn on the upper arm. Repeated- measures ANOVA was used to compare measured EE to the estimates from the standard AC prediction equation and SW using 2 different equations.
RESULTS: Repeated-measures ANOVA demonstrated a significant main effect between measured EE and estimated EE. There were no differences between the criterion method and the AC across the 5 activities. The SW overestimated EE when wheeling at 3 speeds on a level surface, and during sidewalk wheeling. The wheelchair-specific SW equation improved the EE prediction during low intensity activities, but error progressively increased during higher intensity activities.
CONCLUSIONS: During manual wheelchair propulsion, the wrist-mounted AC provided valid estimates of EE, whereas the SW tended to overestimate EE.

Mesh:

Year:  2015        PMID: 25635408     DOI: 10.1123/jpah.2014-0376

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  7 in total

1.  The Effects of a Patient and Provider Co-Developed, Behavioral Physical Activity Intervention on Physical Activity, Psychosocial Predictors, and Fitness in Individuals with Spinal Cord Injury: A Randomized Controlled Trial.

Authors:  Jasmin K Ma; Christopher R West; Kathleen A Martin Ginis
Journal:  Sports Med       Date:  2019-07       Impact factor: 11.136

2.  Construct validation of the leisure time physical activity questionnaire for people with SCI (LTPAQ-SCI).

Authors:  Kathleen A Martin Ginis; Joan Úbeda-Colomer; Abdullah A Alrashidi; Tom E Nightingale; Jason S Au; Katharine D Currie; Michèle Hubli; Andrei Krassioukov
Journal:  Spinal Cord       Date:  2020-10-10       Impact factor: 2.772

3.  Influence of accelerometer type and placement on physical activity energy expenditure prediction in manual wheelchair users.

Authors:  Tom Edward Nightingale; Jean-Philippe Walhin; Dylan Thompson; James Lee John Bilzon
Journal:  PLoS One       Date:  2015-05-08       Impact factor: 3.240

Review 4.  Measurement of Physical Activity and Energy Expenditure in Wheelchair Users: Methods, Considerations and Future Directions.

Authors:  Tom E Nightingale; Peter C Rouse; Dylan Thompson; James L J Bilzon
Journal:  Sports Med Open       Date:  2017-03-01

Review 5.  Measuring Habitual Physical Activity in Neuromuscular Disorders: A Systematic Review.

Authors:  Aura Cecilia Jimenez-Moreno; Jane Newman; Sarah J Charman; Michael Catt; Michael I Trenell; Grainne S Gorman; Jean-Yves Hogrel; Hanns Lochmüller
Journal:  J Neuromuscul Dis       Date:  2017

6.  Assessment of a markerless motion analysis system for manual wheelchair application.

Authors:  Jacob Rammer; Brooke Slavens; Joseph Krzak; Jack Winters; Susan Riedel; Gerald Harris
Journal:  J Neuroeng Rehabil       Date:  2018-11-06       Impact factor: 4.262

7.  Is Fitbit Charge 2 a feasible instrument to monitor daily physical activity and handbike training in persons with spinal cord injury? A pilot study.

Authors:  M C Maijers; O Verschuren; J M Stolwijk-Swüste; C F van Koppenhagen; S de Groot; M W M Post
Journal:  Spinal Cord Ser Cases       Date:  2018-09-11
  7 in total

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