Step Length, But Not Stepping Cadence, Strongly Predicts Physical Activity Intensity During Jogging and Running

Pellerine, Liam P. (author): Division of Kinesiology, School of Health and Human Performance, Faculty of Health, Dalhousie University, Halifax, Canada

Petterson, Jennifer L. (author): Division of Kinesiology, School of Health and Human Performance, Faculty of Health, Dalhousie University, Halifax, Canada

Shivgulam, Madeline E. (author): Division of Kinesiology, School of Health and Human Performance, Faculty of Health, Dalhousie University, Halifax, Canada

Johansson, Peter, 1975- (author): Uppsala universitet,Arbets- och miljömedicin

Hettiarachchi, Pasan, PhD (author): Uppsala universitet,Arbets- och miljömedicin,Elektricitetslära

Kimmerly, Derek S. (author): Division of Kinesiology, School of Health and Human Performance, Faculty of Health, Dalhousie University, Halifax, Canada

Frayne, Ryan J. (author): Division of Kinesiology, School of Health and Human Performance, Faculty of Health, Dalhousie University, Halifax, Canada

O’Brien, Myles W. (author): School of Physiotherapy (Faculty of Health) & Department of Medicine (Faculty of Medicine), Dalhousie University, Halifax, Canada;Geriatric Medicine Research, Dalhousie University & Nova Scotia Health, Halifax, Nova Scotia, Canada

(creator_code:org_t)

2023-03-08
2023
English.
In: Measurement in Physical Education and Exercise Science. - : Taylor & Francis. - 1091-367X .- 1532-7841. ; 27:4, s. 352-361

Related links:: https://urn.kb.se/re...; show more...; https://doi.org/10.1...; show less...

Abstract Subject headings

Device-based measures often rely on the positive relationship between walking cadence and metabolic equivalents of task (METs) to estimate physical activity. It is unknown whether this relationship remains during jogging/running. The study purpose was to investigate the relationships between METs, cadence, and step length during walking and jogging/running. A treadmill protocol with 5 walking (3.2–6.4 km•hr−1) and 5 jogging/running stages (8.0–11.3 km•hr−1) was completed in 43 adults (23 ± 5 years, 19♀). Predictors of METs during walking and jogging/running were determined by generalized mixed modeling. The strongest prediction models for walking (R2 = 0.72, P < .001) and jogging/running (R2 = 0.75, P < .001) included cadence2, cadence, step length, age, and leg length (all, P < .001). Step length accounted for 49.1% and 78.3% of model variance during walking and jogging/running, respectively. METs are poorly estimated by cadence during jogging/running but step length reduces error. Strategies to measure step length in free-living settings could better predict physical activity intensity.

About the subject

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Health Sciences; and Occupational Hea ...

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