Literature DB >> 8181321

Prediction of heart rate and oxygen uptake during incremental and maximal exercise in healthy adults.

M S Fairbarn1, S P Blackie, N G McElvaney, B R Wiggs, P D Paré, R L Pardy.   

Abstract

Measurement of heart rate and oxygen uptake during incremental exercise and at maximal exercise is useful in evaluating mechanisms responsible for exercise limitation in patients with cardiopulmonary disease. Presently used prediction equations are based on relatively small groups of subjects in whom there was an uneven distribution of subjects with regard to age and sex or based on equations that were from extrapolated data. Our prediction equations are based on data from 231 men and women equally divided within decades between 20 and 80 years. Patients exercised to a symptom-limited maximum on a cycle ergometer while measurements of heart rate and oxygen uptake were recorded. The relationship between heart rate and oxygen uptake throughout exercise (HR:VO2) was determined using a statistical technique that included each data point from each subject. The HR:VO2 throughout incremental exercise was best described by separate equations for women younger than 50 years and older than 50 years and for men younger than 70 years and older than 70 years. Prediction equations for maximal heart rate (HRmax) and maximal oxygen uptake (VO2max) were developed by linear regression and were selected from all possible combinations of parameters. The HRmax was most accurately predicted by age alone for both sexes. Unlike the HR:VO2 relationship, the slope of the line relating heart rate to age was not different for the older women compared with the younger women so that a single equation was derived to predict HRmax. A single equation for the men was also sufficient since the slope of heart rate to age was the same for all ages. To most accurately predict VO2max, a separate equation was required for both the women and men that included age, height, and weight.

Entities:  

Mesh:

Year:  1994        PMID: 8181321     DOI: 10.1378/chest.105.5.1365

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  29 in total

1.  Novel Methods for Reporting of Exercise Dose and Adherence: An Exploratory Analysis.

Authors:  Tormod S Nilsen; Jessica M Scott; Meghan Michalski; Catherine Capaci; Samantha Thomas; James E Herndon; John Sasso; Neil D Eves; Lee W Jones
Journal:  Med Sci Sports Exerc       Date:  2018-06       Impact factor: 5.411

2.  Development of nonexercise prediction models of maximal oxygen uptake in healthy Japanese young men.

Authors:  Kiyoshi Sanada; Taishi Midorikawa; Tomohiro Yasuda; Charles F Kearns; Takashi Abe
Journal:  Eur J Appl Physiol       Date:  2006-11-07       Impact factor: 3.078

3.  People With Aneurysmal Subarachnoid Hemorrhage Have Low Physical Fitness and Can Be Predisposed to Inactive and Sedentary Lifestyles.

Authors:  Wouter J Harmsen; Ladbon Khajeh; Gerard M Ribbers; Majanka H Heijenbrok-Kal; Emiel Sneekes; Fop van Kooten; Sebastian Neggers; Rita J van den Berg-Emons
Journal:  Phys Ther       Date:  2019-07-01

4.  Estimation of maximal heart rate using the relationship between heart rate variability and exercise intensity in 40-67 years old men.

Authors:  Laura Karavirta; Mikko P Tulppo; Kai Nyman; David E Laaksonen; Teemu Pullinen; Raija T Laukkanen; Hannu Kinnunen; Arja Häkkinen; Keijo Häkkinen
Journal:  Eur J Appl Physiol       Date:  2008-01-11       Impact factor: 3.078

5.  Prediction of VO2 peak using OMNI Ratings of Perceived Exertion from a submaximal cycle exercise test.

Authors:  Ryan J Mays; Fredric L Goss; Elizabeth F Nagle; Michael Gallagher; Mark A Schafer; Kevin H Kim; Robert J Robertson
Journal:  Percept Mot Skills       Date:  2014-05-21

6.  Are fixed-rate step tests medically safe for assessing physical fitness?

Authors:  Dominique Hansen; Nele Jacobs; Steven Bex; Goedele D'Haene; Paul Dendale; Neree Claes
Journal:  Eur J Appl Physiol       Date:  2011-03-04       Impact factor: 3.078

7.  Cross-validation of Peak Oxygen Consumption Prediction Models From OMNI Perceived Exertion.

Authors:  R J Mays; F L Goss; E F Nagle; M Gallagher; L Haile; M A Schafer; K H Kim; R J Robertson
Journal:  Int J Sports Med       Date:  2016-07-13       Impact factor: 3.118

8.  Cardiovascular response of postmenopausal women to 8 weeks of sprint interval training.

Authors:  Daniel Zhang; Tornike Janjgava; Stephen H Boutcher; Yati N Boutcher
Journal:  Eur J Appl Physiol       Date:  2019-02-09       Impact factor: 3.078

9.  Overall and differentiated sensory responses to cardiopulmonary exercise test in patients with cystic fibrosis: kinetics and ability to predict peak oxygen uptake.

Authors:  Mathieu Gruet; Laurent Mely; Jean-Marc Vallier
Journal:  Eur J Appl Physiol       Date:  2018-07-09       Impact factor: 3.078

10.  Brisk walking compared with an individualised medical fitness programme for patients with type 2 diabetes: a randomised controlled trial.

Authors:  S F E Praet; E S J van Rooij; A Wijtvliet; L J M Boonman-de Winter; Th Enneking; H Kuipers; C D A Stehouwer; L J C van Loon
Journal:  Diabetologia       Date:  2008-02-23       Impact factor: 10.122

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.