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Personalised Prescription of Scalable High Intensity Interval Training to Inactive Female Adults of Different Ages

Mair, Jacqueline L, Nevill, Alan M, De Vito, Giuseppe and Boreham, Colin A (2016) Personalised Prescription of Scalable High Intensity Interval Training to Inactive Female Adults of Different Ages. PLOS ONE, 11 (2). [Journal article]

[img] Text - Published Version

URL: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148702

DOI: 10.1371/journal.pone.014870


Stepping is a convenient form of scalable high-intensity interval training (HIIT) that may leadto health benefits. However, the accurate personalised prescription of stepping is hamperedby a lack of evidence on optimal stepping cadences and step heights for various populations.This study examined the acute physiological responses to stepping exercise at variousheights and cadences in young (n = 14) and middle-aged (n = 14) females in order todevelop an equation that facilitates prescription of stepping at targeted intensities. Participantscompleted a step test protocol consisting of randomised three-minute bouts at differentstep cadences (80, 90, 100, 110 steps�min-1) and step heights (17, 25, 30, 34 cm).Aerobic demand and heart rate values were measured throughout. Resting metabolic ratewas measured in order to develop female specific metabolic equivalents (METs) for stepping.Results revealed significant differences between age groups for METs and heart ratereserve, and within-group differences for METs, heart rate, and metabolic cost, at differentstep heights and cadences. At a given step height and cadence, middle-aged females wererequired to work at an intensity on average 1.9 ± 0.26 METs greater than the youngerfemales. A prescriptive equation was developed to assess energy cost in METs using multilevelregression analysis with factors of step height, step cadence and age. Consideringrecent evidence supporting accumulated bouts of HIIT exercise for health benefits, thisequation, which allows HIIT to be personally prescribed to inactive and sedentary women,has potential impact as a public health exercise prescription tool.

Item Type:Journal article
Keywords:Exercise; Regression Analysis; Ageing
Faculties and Schools:Faculty of Life and Health Sciences > School of Sport
Faculty of Life and Health Sciences
Research Institutes and Groups:Sport and Exercise Sciences Research Institute
Sport and Exercise Sciences Research Institute > Centre for Physical Activity and Health
ID Code:33518
Deposited By: Dr Jacqueline Mair
Deposited On:09 Mar 2016 11:39
Last Modified:17 Oct 2017 16:21

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