Development of a Cadence-based Metabolic Equation for Walking
- 1 January 2021
- journal article
- research article
- Published by Ovid Technologies (Wolters Kluwer Health) in Medicine & Science in Sports & Exercise
- Vol. 53 (1), 165-173
- https://doi.org/10.1249/mss.0000000000002430
Abstract
Purpose This study aimed to develop cadence-based metabolic equations (CME) for predicting the intensity of level walking and evaluate these CME against the widely adopted American College of Sports Medicine (ACSM) Metabolic Equation, which predicts walking intensity from speed and grade. Methods Two hundred and thirty-five adults (21–84 yr of age) completed 5-min level treadmill walking bouts between 0.22 and 2.24 m·s−1, increasing by 0.22 m·s−1 for each bout. Cadence (in steps per minute) was derived by dividing directly observed steps by bout duration. Intensity (oxygen uptake; in milliliters per kilogram per minute) was measured using indirect calorimetry. A simple CME was developed by fitting a least-squares regression to the cadence–intensity relationship, and a full CME was developed through best subsets regression with candidate predictors of age, sex, height, leg length, body mass, body mass index (BMI), and percent body fat. Predictive accuracy of each CME and the ACSM metabolic equation was evaluated at normal (0.89–1.56 m·s−1) and all (0.22–2.24 m·s−1) walking speeds through k-fold cross-validation and converted to METs (1 MET = 3.5 mL·kg−1·min−1). Results On average, the simple CME predicted intensity within ~1.8 mL·kg−1·min−1 (~0.5 METs) at normal walking speeds and with negligible (−1·min−1 [≤0.1 METs]), but may account for larger (up to 2.5 mL·kg−1·min−1 [0.72 MET]) deviations in the cadence–intensity relationships of outliers in age, stature, and/or BMI. Both CME demonstrated 23%–35% greater accuracy and 2.2–2.8 mL·kg−1·min−1 (0.6–0.8 METs) lower bias than the ACSM metabolic equation’s speed-based predictions. Conclusions Although the ACSM metabolic equation incorporates a grade component and is convenient for treadmill-based applications, the CME developed herein enables accurate quantification of walking intensity using a metric that is accessible during overground walking, as is common in free-living contexts.This publication has 34 references indexed in Scilit:
- Using Cadence to Study Free-Living Ambulatory BehaviourSports Medicine, 2012
- Normal walking speed: a descriptive meta-analysisPhysiotherapy, 2011
- The Pleasure and Displeasure People Feel When they Exercise at Different IntensitiesSports Medicine, 2011
- Adjusting step count recommendations for anthropometric variations in leg lengthJournal of Science and Medicine in Sport, 2010
- Translating Physical Activity Recommendations into a Pedometer-Based Step Goal: 3000 Steps in 30 MinutesAmerican Journal of Preventive Medicine, 2009
- Individual limb work does not explain the greater metabolic cost of walking in elderly adultsJournal of Applied Physiology, 2007
- Exercise and Acute Cardiovascular EventsJournal of the American College of Cardiology, 2007
- Adherence to exercise prescriptions: Effects of prescribing moderate versus higher levels of intensity and frequency.Health Psychology, 2002
- Adherence to exercise prescriptions: Effects of prescribing moderate versus higher levels of intensity and frequency.Health Psychology, 2002
- Human energy expenditure during level walking on a treadmill at speeds of 54–130 m min−1International Disability Studies, 1989