Effects of age, walking speed, and body composition on pedometer accuracy in children.
The objective of this study was to investigate the effects of age group, walking speed, and body composition on the accuracy of pedometer-determined step counts in children. Eighty-five participants (43 boys, 42 girls), ages 5-7 and 9-11 years, walked on a treadmill for two-minute bouts at speeds of 42, 66, and 90 m x min(-1) while wearing a spring-levered (Yamax SW-200) and a piezoelectric (New Lifestyles NL-2000) pedometer. The number of steps taken during each bout was also recorded using a hand counter Body mass index (BMI) was calculated from height and mass, and percentage of body fat (%BF) was determined using hand-to-foot bioelectrical impedance analysis. The tilt angle of the pedometer was assessed using a magnetic protractor. Both pedometers performed well at 66 and 90 m x min(-1), but undercounted steps by approximately 20% at 42 m x min(-1). Although age group, BMI, waist circumference, and %BF did not affect pedometer accuracy, children with large pedometer tilt angles (> or =10 degrees) showed significantly greater percent bias than those with small tilt angles (< 10 degrees). We suggest that the style of waistband on the child's clothing is a more important determinant of tilt angle and thus pedometer accuracy than body composition. Our results also indicate that the NL-2000 pedometer provides similar accuracy and better precision than the SW-200 pedometer, especially in children with large tilt angles. We conclude that fastening pedometers to a firm elastic belt may improve stability and reduce undercounting in young people.
Duncan
J Scott
JS
Centre for Physical Activity and Nutrition Research, Division of Sport and Recreation, Auckland University of Technology, Auckland, New Zealand. scott.duncan@aut.ac.nz
Schofield
Grant
G
Duncan
Elizabeth K
EK
Hinckson
Erica A
EA
D000054:Acceleration; D000367:Age Factors; D001823:Body Composition / Q000502:physiology*; D002648:Child; D019544:Equipment Failure Analysis; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D009520:New Zealand; D015203:Reproducibility of Results; D016138:Walking / Q000502:physiology*