A new accelerometric method to assess the daily walking practice.
OBJECTIVE
To describe a method to obtain a profile of the duration and intensity (speed) of walking periods over 24 hours in women under free-living conditions.


METHODS
A new method based on accelerometry was designed for analyzing walking activity. In order to take into account inter-individual variability of acceleration, an individual calibration process was used. Different experiments were performed to highlight the variability of acceleration vs walking speed relationship, to analyze the speed prediction accuracy of the method, and to test the assessment of walking distance and duration over 24-h.


METHODS
Twenty-eight women were studied (mean+/-s.d.) age: 39.3+/-8.9 y; body mass: 79.7+/-11.1 kg; body height: 162.9+/-5.4 cm; and body mass index (BMI) 30.0+/-3.8 kg/m(2).


RESULTS
Accelerometer output was significantly correlated with speed during treadmill walking (r=0.95, P<0.01), and short unconstrained walks (r=0.86, P<0.01), although with a large inter-individual variation of the regression parameters. By using individual calibration, it was possible to predict walking speed on a standard urban circuit (predicted vs measured r=0.93, P<0.01, s.e.e.=0.51 km/h). In the free-living experiment, women spent on average 79.9+/-36.0 (range: 31.7-168.2) min/day in displacement activities, from which discontinuous short walking activities represented about 2/3 and continuous ones 1/3. Total walking distance averaged 2.1+/-1.2 (range: 0.4-4.7) km/day. It was performed at an average speed of 5.0+/-0.5 (range: 4.1-6.0) km/h.


CONCLUSIONS
An accelerometer measuring the anteroposterior acceleration of the body can estimate walking speed together with the pattern, intensity and duration of daily walking activity.
Schutz
Y
Y
Institute of Physiology, University of Lausanne, Switzerland. yves.schutz@iphysiol.unil.ch
Weinsier
S
S
Terrier
P
P
Durrer
D
D
D000054:Acceleration; D000328:Adult; D002940:Circadian Rhythm; D004734:Energy Metabolism; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009765:Obesity / Q000517:prevention & control*; D015203:Reproducibility of Results; D016138:Walking / Q000502:physiology* / Q000706:statistics & numerical data*; D016387:Women's Health