Abstract
BACKGROUND: In adults, walking economy declines with increasing age and negatively influences walking speed. This study aims at detecting determinants of walking economy from body acceleration during walking in an ageing population. METHODS: 35 healthy elderly (18 males, age 51 to 83 y, BMI 25.5+/-2.4 kg/m2) walked on a treadmill. Energy expenditure was measured with indirect calorimetry while body acceleration was sampled at 60Hz with a tri-axial accelerometer (GT3X+, ActiGraph), positioned on the lower back. Walking economy was measured as lowest energy needed to displace one kilogram of body mass for one meter while walking (WCostmin, J/m/kg). Gait features were extracted from the acceleration signal and included in a model to predict WCostmin. RESULTS: On average WCostmin was 2.43+/-0.42 J/m/kg and correlated significantly with gait rate (r2 = 0.21, p<0.01) and regularity along the frontal (anteroposterior) and lateral (mediolateral) axes (r2 = 0.16, p<0.05 and r2 = 0.12, p<0.05 respectively). Together, the three variables explained 46% of the inter-subject variance (p<0.001) with a standard error of estimate of 0.30 J/m/kg. WCostmin and regularity along the frontal and lateral axes were related to age (WCostmin: r2 = 0.44, p<0.001; regularity: r2 = 0.16, p<0.05 and r2 = 0.12, p<0.05 respectively frontal and lateral). CONCLUSIONS: The age associated decline in walking economy is induced by the adoption of an increased gait rate and by irregular body acceleration in the horizontal plane.
| Original language | English |
|---|---|
| Article number | e0141431 |
| Number of pages | 10 |
| Journal | PLOS ONE |
| Volume | 10 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 29 Oct 2015 |
Keywords
- LOCAL DYNAMIC STABILITY
- AGE-RELATED DIFFERENCES
- OLDER-ADULTS
- GAIT VARIABILITY
- FALL RISK
- ENERGETIC COST
- SPEED
- COMMUNITY
- RELIABILITY
- EXPENDITURE
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Data from : Body acceleration as indicator for walking economy in an ageing population
Valenti, G. (Creator), Bonomi, A. G. (Contributor) & Westerterp, K. R. (Contributor), DRYAD, 25 Jan 2016
DOI: 10.5061/dryad.pk462
Dataset/Software: Dataset
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