HR index-a simple method for the prediction of oxygen uptake

Wicks, John Richard, Oldridge, Neil B., Nielsen, Lars K. and Vickers, Claudia E. (2011) HR index-a simple method for the prediction of oxygen uptake. Medicine and Science in Sports and Exercise, 43 10: 2005-2012. doi:10.1249/MSS.0b013e318217276e

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Author Wicks, John Richard
Oldridge, Neil B.
Nielsen, Lars K.
Vickers, Claudia E.
Title HR index-a simple method for the prediction of oxygen uptake
Journal name Medicine and Science in Sports and Exercise   Check publisher's open access policy
ISSN 0195-9131
1530-0315
Publication date 2011-10
Sub-type Article (original research)
DOI 10.1249/MSS.0b013e318217276e
Volume 43
Issue 10
Start page 2005
End page 2012
Total pages 8
Place of publication Philadelphia, PA, United States
Publisher Lippincott Williams & Wilkins
Collection year 2012
Language eng
Formatted abstract
Purpose: Energy expenditure measured in METs is widely used in cardiovascular medicine, exercise physiology, and nutrition assessment. However, measurement of METs requires complex equipment to determine oxygen uptake. A simple method to predict oxygen uptake on the basis of HR measurements without requirement for gas analysis, movement-recording devices, or exercise equipment (treadmills, cycle ergometers) would enable a simple prediction of energy expenditure. The purpose of this study was to determine whether HR can be used to accurately predict oxygen uptake.

Methods: Published studies that reported a measured resting HR (HRrest), a measured activity HR (HRabsolute), and a measured oxygen uptake (mL O2·kg−1·min−1) associated with the HRabsolute were identified. A total of 220 data sets were extracted from 60 published exercise studies (total subject cohort = 11,257) involving a diverse range of age, pathophysiology, and the presence/absence of β-blocker therapy. Net HR (HRnet = HRabsolute − HRrest) and HR index (HRindex = HRabsolute/HRrest) were calculated from the HR data. A regression analysis of oxygen uptake (expressed as METs) was performed against HRabsolute, HRnet, and HRindex.

Results: Statistical models for the relationship between METs and the different HR parameters (HRabsolute, HRnet, and HRindex) were developed. A comparison between regression analyses for the models and the actual data extracted from the published studies demonstrated that the best fit model was the regression equation describing the relationship between HRindex and METs. Subgroup analyses of clinical state (normal, pathology), testing device (cycle ergometer, treadmill), test protocol (maximal, submaximal), gender, and the effect of β-blockade were all consistent with combined data analysis, demonstrating the robustness of the equation.

Conclusions: HRindex can be used to predict energy expenditure with the equation METs = 6HRindex − 5.
Keyword Net HR
Resting HR
Oxygen uptake
Energy expenditure
Exercise testing
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Authors prepress title: "Heart Rate Index - a simple method for prediction of oxygen uptake".

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
Australian Institute for Bioengineering and Nanotechnology Publications
 
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Created: Tue, 22 Mar 2011, 12:08:54 EST by Dr Claudia Vickers on behalf of Aust Institute for Bioengineering & Nanotechnology