Abstract
This study examined the criterion-related validity and the reliability of the FitSense FS-1 Speedometer for estimating distance, speed, and energy expenditure (EE) during walking and running. The study was divided into two parts. Part I investigated the validity and the reliability of the FitSense for estimating distance while walking and running around a 400-m track (n = 24). Part II looked at the validity of the FitSense for estimating speed and EE during level treadmill walking (4.8, 6.4, and 8.0 km · h-1) and running (8.0, 9.6, and 11.2 km · h-1). Twelve of the original 24 subjects completed Part II. The results of Part I indicated that the FitSense accurately estimated walking distance, but it underestimated running distance by an average of 3.5 % (p = 0.016). Test-retest reliability was deemed adequate for both walking and running distance (ICC = 0.87 and 0.84, respectively). In Part II, the FitSense overestimated speed during treadmill walking at 8.0 km · h-1 (p < 0.001) and underestimated EE at two walking speeds (6.4 and 8.0 km · h-1) (p < 0.01). No significant differences were found for speed or EE predictions while running at any speed. In summary, the FitSense FS-1 Speedometer provided valid estimates of walking distance during track tests, and valid estimates of speed during treadmill walking (4.8 and 6.4 km · h-1) and running (9.6 and 11.2 km · h-1). However, the FitSense underestimated running distance during track tests. In addition, the FitSense overestimated speed and underestimated EE in the transition between walking and running (8.0 km · h-1).
Key words
Motion sensor - accelerometer - energy expenditure - physical activity - prediction
References
-
1
Balogun J A, Martin D A, Clendenin M A.
Calorimetric validation of the Caltrac accelerometer during level walking.
Phys Ther.
1989;
69
501-509
-
2
Bassett Jr D R, Ainsworth B E, Leggett S R, Mathien C A, Main J A, Hunter D C, Duncan G E.
Accuracy of five electronic pedometers for measuring distance walked.
Med Sci Sports Exerc.
1996;
28
1071-1077
-
3
Bassett Jr D R, Howley E T, Thompson D L, King G A, Strath S J, McLaughlin J E, Parr B B.
Validity of inspiratory and expiratory methods of measuring gas exchange with a computerized system.
J Appl Physiol.
2001;
91
218-224
-
4
Brage S, Wedderkopp N, Franks P W, Anderson L J, Froberg K.
Reexamination of validity and reliability of the CSA monitor in walking and running.
Med Sci Sports Exerc.
2003;
35
1447-1454
-
5
Daniels J, Bradley P, Scardina N, Handel P V, Troup J.
Aerobic responses to submax and max treadmill and track running at sea level and altitude.
Med Sci Sports Exerc.
1985;
17
187
-
6
Davies C TM.
Effects of wind assistence and resistance on the forward motion of a runner.
J Appl Physiol.
1980;
48
702-709
-
7 FitSense .FitSense FS-1 Speedometer Athlete's Manual. Wellesley Hills, MA; FitSense 2000: 1-24
-
8
Haymes E M, Byrnes W C.
Walking and running energy expenditure estimated by Caltrac and indirect calorimetry.
Med Sci Sports Exerc.
1993;
25
1365-1369
-
9
Herren R, Sparti A, Aminian K, Schultz Y.
The prediction of speed and incline in outdoor running in humans using accelerometry.
Med Sci Sports Exerc.
1999;
31
1053-1059
-
10
Jakicic J M, Winters C, Lagally K, Ho J, Robertson R J, Wing R R.
The accuracy of the TriTrac-R3 D accelerometer to estimate energy expenditure.
Med Sci Sports Exerc.
1999;
31
747-754
-
11
Janz K F.
Validation of the CSA accelerometer for assessing children's physical activity.
Med Sci Sports Exerc.
1994;
26
369-375
-
12
Kemper H CG, Verschuur R.
Validity and reliability of pedometers in habitual activity research.
Eur J Appl Physiol.
1977;
37
71-82
-
13
Kram R, Taylor C R.
Energetics of running: a new perspective.
Nature.
1990;
346
265-267
-
14
Melanson Jr E L, Freedson P S.
Validity of the Computer Science and Application, Inc. (CSA) activity monitor.
Med Sci Sports Exerc.
1995;
27
934-940
-
15
Montoye H J, Washburn R, Servais S, Ertl A, Webster J G, Nagle F J.
Estimation of energy expenditure by a portable accelerometer.
Med Sci Sports Exerc.
1983;
15
403-407
-
16
Nichols J F, Morgan C G, Chabot L E, Sallis J F, Calfas K J.
Assessment of physical activity with the Computer Science and Applications, Inc., accelerometer: laboratory versus field validation.
Res Q Exerc Sport.
2000;
71
36-43
-
17
Nichols J F, Morgan C G, Sarkin J A, Sallis J F, Calfas K J.
Validity, reliability, and calibration of the Tritrac accelerometer as a measure of physical activity.
Med Sci Sports Exerc.
1999;
31
908-912
-
18
Pambianco G, Wing R R, Robertson R.
Accuracy and reliability of the Caltrac accelerometer for estimating energy expenditure.
Med Sci Sports Exerc.
1990;
22
858-862
-
19
Roza A M, Shizgal H M.
The Harris Benedict equation reevaluated: resting energy requirements and the body mass cell.
Am J Clin Nutr.
1984;
40
168-182
-
20
Saris W HM, Binkhorst R A.
The use of pedometer and actometer in studying daily physical activity in man. Part I: reliability of pedometer and actometer.
Eur J Appl Physiol.
1977;
37
219-228
-
21
Servais S B, Webster J G, Montoye H J.
Estimating human energy expenditure using an accelerometer device.
J Clin Eng.
1984;
9
159-173
-
22
Taylor C R.
Force development during sustained locomotion: a determinant of gait, speed and metabolic power.
J Exp Biol.
1985;
115
253-262
-
23
Washburn R, Chin M K, Montoye H J.
Accuracy of pedometer in walking and running.
Res Q Exerc Sport.
1980;
51
695-702
-
24
Weir J BDV.
New methods for calculating metabolic rate with special reference to protein metabolism.
J Physiol (Lond).
1949;
109
1-9
-
25
Weyand P G, Kelly M, Blackadar T, Darley J C, Oliver S R, Ohlenbusch N E, Joffe S W, Hoyt R W.
Ambulatory estimates of maximal aerobic power from foot-ground contact times and heart rates in running humans.
J Appl Physiol.
2001;
91
451-458
S. A. Conger
University of Arkansas for Medical Sciences, Nutrition, Metabolism, and Exercise Laboratory
4301 West Markham St., #806
Little Rock, AR 72205-7199
USA
Phone: + 5015265713
Fax: + 50 15 26 57 10
Email: saconger@uams.edu