Northampton Electronic Collection of Theses and Research

Predicted maximal heart rate for upper body exercise testing

Hill, M., Talbot, C. and Price, M. (2016) Predicted maximal heart rate for upper body exercise testing. Clinical Physiology and Functional Imaging. 36(2), pp. 155-158. 1475-097X.

Item Type: Article
Abstract: Age-predicted maximal heart rate (HRMAX) equations are commonly used for the purpose of prescribing exercise regimens, as criteria for achieving maximal exertion and for diagnostic exercise testing. Despite the growing popularity of upper body exercise in both healthy and clinical settings, no recommendations are available for exercise modes using the smaller upper body muscle mass. The purpose of this study was to determine how well commonly used age-adjusted prediction equations for HRMAX estimate actual HRMAX for upper body exercise in healthy young and older adults. A total of 30 young (age: 20 ± 2 years, height: 171·9 ± 32·8 cm, mass: 77·7 ± 12·6 kg) and 20 elderly adults (age: 66 ± 6 years, height: 162 ± 8·1 cm, mass: 65·3 ± 12·3 kg) undertook maximal incremental exercise tests on a conventional arm crank ergometer. Age-adjusted maximal heart rate was calculated using prediction equations based on leg exercise and compared with measured HRMAX data for the arms. Maximal HR for arm exercise was significantly overpredicted compared with age-adjusted prediction equations in both young and older adults. Subtracting 10–20 beats min−1 from conventional prediction equations provides a reasonable estimate of HRMAX for upper body exercise in healthy older and younger adults.
Additional Information: A pre-publication version of this article was made available electronically by the publisher on 15 October 2014.
Uncontrolled Keywords: Aging, arm crank ergometry, autonomic, exercise testing, rehabilitation
Subjects: Q Science > QP Physiology > QP301 Exercise and sports physiology
Creators: Hill, Matthew, Talbot, Chris and Price, M
Publisher: John Wiley & Sons Ltd.
Faculties, Divisions and Institutes: University Faculties, Divisions and Research Centres - OLD > Faculty of Health & Society > Sports, Exercise & Life Sciences
Faculties > Faculty of Health & Society > Sports, Exercise & Life Sciences
Date: 1 March 2016
Date Type: Publication
Page Range: pp. 155-158
Journal or Publication Title: Clinical Physiology and Functional Imaging
Volume: 36
Number: 2
Language: English
ISSN: 1475-097X
Status: Published / Disseminated

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