Literature DB >> 19997011

Estimating MET values using the ratio of HR for persons with paraplegia.

Miyoung Lee1, Weimo Zhu, Brad Hedrick, Bo Fernhall.   

Abstract

UNLABELLED: The current compendium of physical activity (CPA) cannot be applied to persons with disabilities due to the lack of physical activity (PA) they are regularly engaged in and inaccurate MET values when applied to persons with disabilities.
PURPOSE: The purposes of this study were (a) to determine whether HR ratio during PA and resting can be used to accurately predict MET values of PA in persons with paraplegia, (b) to compare individual calibration (IC) with group calibration (GC) in error reduction, and (c) to examine prediction generalizability through a cross-validation design.
METHODS: Twenty-seven participants (aged 18-45 yr) with complete and incomplete paraplegia at T6 to L4 participated in this study. Oxygen uptake (VO2) and HR were measured simultaneously at rest and during 10 PA using indirect calorimetry and a Polar HR monitor. Predicted METs were calculated using the HR ratio for six activities by applying regression analysis by group (GC) and individuals (IC), respectively. The derived equations were then cross-validated using the four other activities, and corresponding METs were calculated. Absolute error rates (AC), paired t-test, and correlation (r) were used to determine the absolute and relative difference between observed and predicted METs.
RESULTS: The overall correlation coefficient (r) between HR ratio and observed METs was 0.77 using group regression and 0.93 +/- 0.05 using individual regression. GC (R2 = 0.59, AC = 0.07%-65.25%) was less accurate than IC (R2 = 0.90 +/- 0.10, AC = 1.64%-10.26%). Cross-validation results also showed higher correlations for IC (r = 0.90 in IC and 0.72 in GC) between observed and predicted METs.
CONCLUSIONS: HR ratio was able to accurately predict METs of persons with paraplegia. IC estimated METs more accurately than GC.

Entities:  

Mesh:

Year:  2010        PMID: 19997011     DOI: 10.1249/MSS.0b013e3181c0652b

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  9 in total

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2.  Measuring Physical Activity in Outdoor Community Recreational Environments: Implications for Research, Policy, and Practice.

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3.  Identifying physical activity type in manual wheelchair users with spinal cord injury by means of accelerometers.

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4.  Use of Heart Rate Index to Predict Oxygen Uptake - A Validation Study.

Authors:  Jie Kang; Nicholas A Ratamess; Avery D Faigenbaum; Jill A Bush; Christopher Roser; Devyn Montemarano; Hannah Mercado; Morgan Choma; Christian Mendez; Matthew Pollock
Journal:  Int J Exerc Sci       Date:  2020-12-01

5.  Acute energy cost of multi-modal activity-based therapy in persons with spinal cord injury.

Authors:  Eric Turner Harness; Todd A Astorino
Journal:  J Spinal Cord Med       Date:  2011       Impact factor: 1.985

Review 6.  Computational methods for estimating energy expenditure in human physical activities.

Authors:  Shaopeng Liu; Robert X Gao; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2012-11       Impact factor: 5.411

Review 7.  Investigation of measured and predicted resting energy needs in adults after spinal cord injury: a systematic review.

Authors:  A N Nevin; J Steenson; A Vivanti; I J Hickman
Journal:  Spinal Cord       Date:  2015-12-22       Impact factor: 2.772

8.  Time and Effort Required by Persons with Spinal Cord Injury to Learn to Use a Powered Exoskeleton for Assisted Walking.

Authors:  Allan J Kozlowski; Thomas N Bryce; Marcel P Dijkers
Journal:  Top Spinal Cord Inj Rehabil       Date:  2015-04-12

9.  Use of the HR index to predict maximal oxygen uptake during different exercise protocols.

Authors:  Jeannie M Haller; Patricia C Fehling; David A Barr; Thomas W Storer; Christopher B Cooper; Denise L Smith
Journal:  Physiol Rep       Date:  2013-10-23
  9 in total

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