Reexamination of validity and reliability of the CSA monitor in walking and running.

PURPOSE To evaluate the reliability and validity of the CSA (model 7164) accelerometer (MTI) in a wide walking-running speed range in laboratory and field. METHOD Twelve male subjects performed three treadmill walking/running sessions and one field trial with the same continuous protocol involving progressively increasing velocities at 5 min per interval from 3 to 6 km x h(-1) (walking) and 8 to 20 km x h(-1) (running). In the field trial, this protocol was terminated after 35 min (14 km.h(-1)), but the trial then extended with 5-km running at a freely chosen velocity. In both scenarios, two CSAs were mounted on each hip and the step frequency measured at each velocity. Oxygen uptake VO(2) x kg(-1) was measured on the last two treadmill sessions. Correlation analyses were performed for mean CSA output relationship with speed, VO(2) per kilogram, and step frequency. RESULTS In all trials, CSA output rose linearly (R2 = 0.92, P < 0.001) with increasing speed until 9 km.h-1 but remained at approximately 10000 counts.min-1 during running, thus underestimating VO(2) per kilogram at speeds > 9 km x h(-1). Estimation errors increased with speed from 11% (P < 0.01) at 10 km x h(-1) to 48% (P < 0.001) at 16 km x h(-1), when assuming a linear relationship. Freely chosen velocities in the field trial ranged from 10.9 to 16.3 km.h-1. No difference in the CSA-speed relationship was observed between the two scenarios. Differences in CSA output between subjects could partially be attributed to differences in step frequency (R = -0.34 (P = 0.02) for walking and R = -0.63 (P < 0.001) for running). CONCLUSION CSA output increases linearly with speed in the walking range but not in running, presumably due to relatively constant vertical acceleration in running. Between-subject reliability was related to step frequency because CSA data are filtered most at higher movement frequencies. Epidemiological CSA data should thus be interpreted with these limitations in mind.

[1]  J. Twisk,et al.  The longitudinal development of running economy in males and females aged between 13 and 27 years: The Amsterdam Growth and Health Study , 1997, European Journal of Applied Physiology and Occupational Physiology.

[2]  R. Kram,et al.  Metabolic cost of generating horizontal forces during human running. , 1999, Journal of applied physiology.

[3]  J. D. Janssen,et al.  Assessment of energy expenditure for physical activity using a triaxial accelerometer. , 1994, Medicine and science in sports and exercise.

[4]  K. Rennie,et al.  A combined heart rate and movement sensor: proof of concept and preliminary testing study , 2000, European Journal of Clinical Nutrition.

[5]  P S Freedson,et al.  Calibration of the Computer Science and Applications, Inc. accelerometer. , 1998, Medicine and science in sports and exercise.

[6]  G. Cavagna,et al.  Mechanics of walking. , 1965, Journal of applied physiology.

[7]  P. Komi,et al.  Mechanical step variability during treadmill running , 2004, European Journal of Applied Physiology and Occupational Physiology.

[8]  K R Westerterp,et al.  Assessment of energy expenditure by recording heart rate and body acceleration. , 1989, Medicine and science in sports and exercise.

[9]  B E Ainsworth,et al.  Evaluation of heart rate as a method for assessing moderate intensity physical activity. , 2000, Medicine and science in sports and exercise.

[10]  T. Anderson Biomechanics and Running Economy , 1996, Sports medicine.

[11]  R. Müller,et al.  A critical discussion of intraclass correlation coefficients. , 1994, Statistics in medicine.

[12]  G. Cavagna,et al.  The two power limits conditioning step frequency in human running. , 1991, The Journal of physiology.

[13]  E. Haymes,et al.  Walking and running energy expenditure estimated by Caltrac and indirect calorimetry. , 1993, Medicine and science in sports and exercise.

[14]  J. Curnow,et al.  Technical reliability of the CSA activity monitor: The EarlyBird Study. , 2002, Medicine and science in sports and exercise.

[15]  G. Cavagna,et al.  The sources of external work in level walking and running. , 1976, The Journal of physiology.

[16]  A E Minetti,et al.  A model equation for the prediction of mechanical internal work of terrestrial locomotion. , 1998, Journal of biomechanics.

[17]  P. Komi,et al.  Biomechanical factors affecting running economy. , 2001, Medicine and science in sports and exercise.

[18]  G. Cavagna,et al.  The determinants of the step frequency in running, trotting and hopping in man and other vertebrates. , 1988, The Journal of physiology.

[19]  A. Belli,et al.  Energy cost and running mechanics during a treadmill run to voluntary exhaustion in humans , 1998, European Journal of Applied Physiology and Occupational Physiology.

[20]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[21]  G. Cavagna,et al.  External, internal and total work in human locomotion. , 1995, The Journal of experimental biology.

[22]  S. Brage,et al.  Reliability and Validity of the Computer Science and Applications Accelerometer in a Mechanical Setting , 2003 .

[23]  C. Davies Effects of wind assistance and resistance on the forward motion of a runner. , 1980, Journal of applied physiology: respiratory, environmental and exercise physiology.

[24]  G.A.L. Meijer,et al.  Methods to assess physical activity with special reference to motion sensors and accelerometers , 1991, IEEE Transactions on Biomedical Engineering.

[25]  Thomas R. Shrout,et al.  Piezoelectric properties of zirconium-doped barium titanate single crystals grown by templated grain growth , 1999 .

[26]  P S Freedson,et al.  Field evaluation of the Computer Science and Applications, Inc. physical activity monitor. , 2000, Medicine and science in sports and exercise.

[27]  G. Cavagna,et al.  Mechanical work and efficiency in level walking and running , 1977, The Journal of physiology.

[28]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.

[29]  J F Nichols,et al.  Assessment of Physical Activity with the Computer Science and Applications, Inc., Accelerometer: Laboratory versus Field Validation , 2000, Research quarterly for exercise and sport.

[30]  Daniel P. Ferris,et al.  Running in the real world: adjusting leg stiffness for different surfaces , 1998, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[31]  P J Corcoran,et al.  The proportional work of lifting the center of mass during walking. , 1996, American journal of physical medicine & rehabilitation.

[32]  P. D. Watson,et al.  Validity of the computer science and applications (CSA) activity monitor in children. , 1998, Medicine and science in sports and exercise.