Generalizability of Stabilogram Diffusion Analysis of center of pressure measures.

Quiet standing balance and postural control are often assessed by drawing information from center of pressure (COP) data collected with a force platform. Efforts to better understand the underlying processes involved in postural control have lead to methods that examine the dynamic or stochastic characteristics of the COP. One method that has recently gained popularity is Stabilogram Diffusion Analysis (SDA). There is, however, a lack of standardization in the methodology of data collection for this approach, i.e., how many trials to include and how long to sample a trial. The purpose of this study was to use the tools of Generalizability Theory (G-Theory) to investigate the reliability of SDA measures of quiet standing and to establish an optimal measurement protocol. G-Theory provides a tool that allows us to break down the sources of variation, or facets, in a measurement procedure and ultimately design a protocol that provides optimal reliability. Fifteen young, healthy participants completed ten 90-s trials: first with eyes open and then eyes closed. Common measures of SDA were calculated using the first 30, 60 and 90 s of each trial. G-Theory through a Generalizability Study (G-study) and follow-up Decision Studies (D-studies) were performed to estimate reliability coefficients (G-coefficients). The fully crossed facets included were participants (P), length of trials (L) and number of trials (T). Results of this study suggest that at least five 60s trials should be used when using the selected measures of SDA. These guidelines address acceptable reliability and the gains achieved by adding trials or increasing trial length.

[1]  M. Turvey,et al.  Influences of Body Lean and Vision on Unperturbed Postural Sway , 1997 .

[2]  J. J. Collins,et al.  The effects of visual input on open-loop and closed-loop postural control mechanisms , 2004, Experimental Brain Research.

[3]  J. Collins,et al.  Upright, correlated random walks: A statistical-biomechanics approach to the human postural control system. , 1995, Chaos.

[4]  Leif Hasselquist,et al.  Effects of carried weight on random motion and traditional measures of postural sway. , 2006, Applied ergonomics.

[5]  Richard J. Shavelson,et al.  Generalizability Theory: A Primer , 1991 .

[6]  L. Cronbach,et al.  THEORY OF GENERALIZABILITY: A LIBERALIZATION OF RELIABILITY THEORY† , 1963 .

[7]  J. Raymakers,et al.  The assessment of body sway and the choice of the stability parameter(s). , 2005, Gait & posture.

[8]  A Cappello,et al.  An improved technique for the extraction of stochastic parameters from stabilograms. , 2000, Gait & posture.

[9]  K. M. Newell,et al.  Stochastic processes in postural center-of-pressure profiles , 2006, Experimental Brain Research.

[10]  Lee Nolan,et al.  Aging, muscle activity, and balance control: physiologic changes associated with balance impairment. , 2003, Gait & posture.

[11]  J. J. Collins,et al.  Age-related changes in open-loop and closed-loop postural control mechanisms , 2004, Experimental Brain Research.

[12]  J. Collins,et al.  Open-loop and closed-loop control of posture: A random-walk analysis of center-of-pressure trajectories , 2004, Experimental Brain Research.

[13]  Maciej Bosek,et al.  Degradation of postural control system as a consequence of Parkinson's disease and ageing , 2005, Neuroscience Letters.

[14]  M. Turvey,et al.  Recurrence quantification analysis of postural fluctuations. , 1999, Gait & posture.

[15]  T. M. Wood,et al.  Measurement Concepts in Physical Education and Exercise Science , 1989 .

[16]  Karl S Rosengren,et al.  Generalizability of center of pressure measures of quiet standing. , 2007, Gait & posture.

[17]  J. Collins,et al.  Predicting the dynamic postural control response from quiet-stance behavior in elderly adults. , 2003, Journal of biomechanics.