| Heart Rate Index - A Simple Method for Prediction of Oxygen Uptake. | |
| | |
MedLine Citation:
|
PMID: 21364476 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
|
PURPOSE:: Energy expenditure measured in METs (metabolic equivalents) is widely used in cardiovascular medicine, exercise physiology and nutrition assessment. However, measurement of METs requires complex equipment to determine oxygen consumption. A simple method to predict oxygen consumption based on heart rate (HR) measurements without requirement for gas analysis, movement recording devices, or exercise equipment (treadmills, cycle ergometers) would enable simple prediction of energy expenditure. The purpose of this study was to determine whether HR can be used to accurately predict oxygen consumption. METHODS:: Published studies which reported a measured resting HR (HRrest), a measured activity HR (HRabsolute) and measured oxygen consumption (mL O2·kg·min) 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 beta-blocker therapy. Net HR (HRabsolute - HRrest) and HR index (HRabsolute / HRrest) were calculated from the HR data. Regression analysis of oxygen consumption(expressed as METs) was performed against HRabsolute, HRnet and HRindex. RESULTS:: Statistical models for the relationship between METs and different HR parameters (HRabsolute, HRnet and HRindex) were developed. 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 analysis of clinical state (normal, pathology), testing device (cycle ergometer, treadmill), test protocol (maximal, submaximal), gender and the effect of beta-blockade were all consistent with combined data analysis, demonstrating the robustness of the equation. CONCLUSION:: HRindex can be used to predict energy expenditure with the equation METs = 6 ×HRindex - 5. |
| | |
Authors:
|
John R Wicks; Neil B Oldridge; Lars K Nielsen; Claudia E Vickers |
Related Documents
:
|
7621626 - Discriminant function using red cell indices to distinguish between hbc and hbe traits. 7586936 - Hemoglobin-based oxygen carrier preserves submaximal exercise capacity in humans. 21779146 - Strategies for reducing body fat mass: effects of liposuction and exercise on cardiovas... 17684706 - Regulatory volume decrease after swelling induced by urea in fibroblasts: prominent rol... 15090376 - Kinematic mri assessment of mcconnell taping before and after exercise. 17940146 - A comprehensive rehabilitation program with quadriceps strengthening in closed versus o... |
Publication Detail:
|
Type: JOURNAL ARTICLE Date: 2011-2-28 |
Journal Detail:
|
Title: Medicine and science in sports and exercise Volume: - ISSN: 1530-0315 ISO Abbreviation: - Publication Date: 2011 Feb |
Date Detail:
|
Created Date: 2011-3-2 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 8005433 Medline TA: Med Sci Sports Exerc Country: - |
Other Details:
|
Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
|
1Department of Rehabilitation, Robina Hospital, Robina, Queensland 4217 Australia 2University of Wisconsin School of Medicine & Public HealthandAurora Cardiovascular Services,Aurora Sinai/Aurora St. Luke's Medical Center, Milwaukee, Wisconsin 53233, USA 3Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland 4072 Australia. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Brain Cortical Activity Is Influenced By Exercise Mode and Intensity.
Next Document: Energy expenditure and enjoyment during video game play: differences by game type.