ArticlePDF Available

Changes of Postural Steadiness Following Use of Prefabricated Orthotic Insoles

Authors:

Abstract and Figures

Orthoses are designed to assist a malaligned foot in adapting to the environment and reduce the frequency of injury. Literature is divided on the benefits of orthotics insoles for postural stability. The current study was conducted to determine the effect of prefabricated orthotic arch supports on postural stabilization. Twelve healthy young adults participated in this study and were tested with and without prefabricated orthotics. Different variables were computed from movement of center of pressure (COP) during orthotic use as suggested in the literature. The mean position of COP was significantly shifted forward and toward the dominant side. Neither the COP movement nor the velocity changes following the use of orthotics revealed significant differences. Mediolateral range of COP movement and the 95% confidence circle area of sway was significantly reduced (P = .022 and 0.048 respectively), but changes in 95% confidence circle and ellipse areas of fractal dimension were not significant (P = .053 and P = .057 respectively). In conclusion, orthotic insoles significantly improved postural sway initially by reducing mediolateral range of postural sway and 95% confidence circle area of sway at the cost of increased fractal dimension area variables and power.
Content may be subject to copyright.
Journal of Applied Biomechanics, 2013, 29, 174-179
© 2013 Human Kinetics, Inc. An Official Journal of ISB
www.JAB-Journal.com
ORIGINAL RESEARCH
174
Hamid Bateni (Corresponding Author) is with the Physical
Therapy Program, School of Allied Health and Communicative
Disorders, Northern Illinois University, DeKalb, IL.
Changes of Postural Steadiness
Following Use of Prefabricated Orthotic Insoles
Hamid Bateni
Northern Illinois University
Orthoses are designed to assist a malaligned foot in adapting to the environment and reduce the frequency of
injury. Literature is divided on the benets of orthotics insoles for postural stability. The current study was
conducted to determine the effect of prefabricated orthotic arch supports on postural stabilization. Twelve
healthy young adults participated in this study and were tested with and without prefabricated orthotics. Dif-
ferent variables were computed from movement of center of pressure (COP) during orthotic use as suggested
in the literature. The mean position of COP was signicantly shifted forward and toward the dominant side.
Neither the COP movement nor the velocity changes following the use of orthotics revealed signicant dif-
ferences. Mediolateral range of COP movement and the 95% condence circle area of sway was signicantly
reduced (P = .022 and 0.048 respectively), but changes in 95% condence circle and ellipse areas of fractal
dimension were not signicant (P = .053 and P = .057 respectively). In conclusion, orthotic insoles signicantly
improved postural sway initially by reducing mediolateral range of postural sway and 95% condence circle
area of sway at the cost of increased fractal dimension area variables and power.
Keywords: orthotic devices, postural balance, rehabilitation
Orthoses are designed to assist a malaligned foot in
adapting to the environment and reduce the frequency of
injury; they are prescribed for various reasons.1 Studies
have shown that orthotic insoles potentially can improve
postural stability and the quality of sensory information
required for postural control.2–4 In contrast, there are some
who have reported that the use of foot orthotic devices
may not have a benet for postural stability.5,6
It has been shown previously that orthotic insoles
improve the scores of Berg Balance Scale signicantly.3
It is also reported that use of custom-made orthotics
improves balance and proprioception among profes-
sional golfers4 and reduces the velocity of sway among
individuals with rear foot malalignment.2
Most studies reporting benets of foot orthotics
studied custom-tted arch supports. The only study that
focused on prefabricated insoles5 reported no signicant
effect of insoles on postural stabilization in professional
soccer players. The only study that reported no benets
in the use of both prefabricated and custom-tted orthotic
insoles on postural sway6 studied 15 athletes with acute
ankle injuries. Whether the lack of signicant changes of
postural sway velocity in the study of Hertel et al (2001)
resulted from the use of orthotics or was a consequence
of ankle injury is unknown.
This study aims to compare postural sway of young
adult individuals with and without orthotic insoles in the
time domain distances and area measures, fractal dimen-
sion, and frequency domain variables. Postural control
often has been used as a measure of lower extremity
function and is dened as the process of maintaining
the center of gravity with the body’s base of support.7,8
Postural stabilization is often quantied by measurement
of postural sway, which is the movement of the center
of pressure (COP) while participants are standing on a
force platform.6,9 Postural sway provides an indication
of postural control during quiet stance.6,9 Normal limita-
tions of postural sway are about 12 degrees in the sagittal
plane and 16 degrees in the frontal plane.10 Numerous
studies have shown that poor postural stabilization can
be identied by an increase in time-domain distance
and area variables of sway.11,12 It also has been shown
that postural control can be characterized by frequency
domain variables such as power of the sway.13,14 More
recent studies have suggested that fractal dimensional
variables of sway signal are valid and reliable measures
of postural steadiness.15–18
The purpose of this study was to examine the
effects of prefabricated orthotics on postural stability in
young healthy subjects with a neutral hind foot. It was
hypothesized that prefabricated orthotics would shift
the mean antero-posterior (AP) position of COP and
decrease postural sway as reected by total excursion
and mean distance and root mean square distance from
the mean COP. Furthermore, it was hypothesized that
Effect of Arch Supports on Postural Sway 17 5
use of orthotic insoles would cause a reduction in the
95% condence circle, which consists of 95% of COP
positions. We expected no signicant changes on fractal
dimension or total power of sway following the use of
orthotics.
Methods
Following approval from the Institutional Review Board
of Northern Illinois University, twelve healthy young
adults (5 males, 7 females) between the ages of 22 and
27 (mean = 23, SD = 1.4) were recruited to participate
in the study. Participants were included if they (a) had
neutral rear-foot alignment with less than 5 degrees of cal-
caneal varus or valgus as measured by the angles formed
between the midline of the posterior aspect of the distal
third of the leg and the midline of the posterior aspect
of the calcaneus,19(p859) (b) had no physical or mental
disability which could potentially affect their balance
and (c) could stand on a single limb for 30 seconds.
Individuals with any visual or vestibular decits and
those with a history of injury or surgery on the lower
extremities in the past 6 months were excluded from
the study. All recruited participants were right handed
and right legged. To determine whether participants
were right handed and right legged, they were asked two
questions: (a) which hand do you use to write? (b) if you
were to kick a ball which leg would you use? Participants
were asked to sign a consent form before participation
in the study.
ProFoot Super Sport Arch supports (Profoot, Inc.,
Brooklyn, NY) that were used in this study are differently
sized for men and women. All participants were using
gender-appropriate ProFoot Super Sport Arch supports
for orthotics trials. ProFoot Super Sport Arch support is
a typical orthotic insole that supports both longitudinal
arches as well as the transversal arch of the foot. The
insole covers the plantar surface of the foot under the heel
up to the head of metatarsals. The reason for selection
of this model of orthotics was availability and low cost.
Previous studies have shown that there are no signicant
differences between different brands of prefabricated
orthotic insoles.20,21 The Kistler-9287BA force platform
(Kistler Co., Winterthur, Switzerland) was used to col-
lect position data of the COP at 100 Hz. The Matlab
program was used to compute several variables derived
from postural sway.
Participants were randomly assigned to 4 trials (2
conditions: with and without orthotics, 2 repetitions),
each lasting 30 seconds. Participants were instructed
to stand on the platform as quietly as possible, looking
straight ahead, toward a black circle (1 inch in diameter)
located on the wall 6 feet distant in the anterior view.
Landmark lines were drawn on the force platform to
ensure participants would stand at the same location
on the force platform during all tests. During the tests,
participants stood in a standard position determined,
from literature, to represent a typical self-selected
stance (14 degrees between medial foot margins,
heel-center spacing = 11% of body height.22 For the
orthotics trial, prefabricated orthotics were placed under
each foot.
Force platform data were collected for a period of
30 seconds. Anteroposterior and mediolateral time series
data were ltered through a fourth-order zero-phase
Butterworth low-pass lter with cut-off frequency of 5
Hz as suggested in the literature.23 The rst 10 seconds
of data were cut off following the method of Prieto and
colleagues23 to remove potential lead-in effect on the
postural sway. The last 2 seconds also were cut off
to avoid any sway effect due to anticipation of the
end of the trial. The middle 18 seconds was used in
the analysis. An in-house-developed Matlab program
was used to compute several variables of postural sway
in both time and frequency domains as reected by the
movements of the COP. A detailed explanation of time
and frequency domain variables computed in this study
is provided in the literature.23–27 To compute the fractal
dimension, the algorithm of Myklebust and Myklebust
was adopted.23
Fractal _Dimension =log(N) /
log(Nd /([AP(n+1)AP (n)]2+[ML(n+1) ML(n)]2))
n=1
N1
where N is the number of data points included in the
analysis, d represents the maximum distance between
any two points, and AP and ML are coordinates of COP
position in mediolateral (ML) and anteroposterior
(AP) directions. Matlab and SAS statistical analysis
programs were used for data processing and analysis.
Resultant and direction characteristics of postural
sway in time and frequency domains were compared.
Repeated measures analyses of variance with a single
random effect of orthotic vs no orthotic with replicates
within subjects were performed to identify signicant
differences (P < .05). Analysis of normality assumption
was conducted for each response variable and results
showed normality.
Results
The mean position of the COP was signicantly shifted
forward and toward the dominant side when the orthotics
were used (PML = 0.001, PAP = 0.036) (Figure 1). Some
time domain variables changed signicantly following
the use of orthotics (Table 1). Movement of the COP,
resultant and directional (ML and AP) mean distance
from the mean COP and velocity of sway following the
use of orthotics did not change signicantly (P > .05).
The resultant root mean square (RMS) of the distance
substantially changes, but did not reach statistical sig-
nicance (P = .07). Changes in the mediolateral sway
range were statistically signicant (P = .02). Neither the
resultant nor the AP and ML directional total excursions
of the COP were signicantly changed (P > .05). From
176 Bateni
Figure 1 — Box plots of mean position of COP in both AP and ML directions. Two conditions of no orthotics (NO) and with
orthotics (WO) were compared. The line at the middle of the boxes represents medians and diamond shape represents mean value.
Notches on each box indicate 95% condence intervals of median values. Plus signs on the graph represent outliers. Overlap of
notches between two boxes shows that no signicant difference at 95% condence exist between medians. *Shows signicant dif-
ference (P < .05) between mean values.
Table 1 Descriptive statistics of the COP-based measures of postural sway, comparison of with
orthotics, without orthotics, and overall
Measure No Orthotics, mean (SD) Orthotics, mean (SD) Overall, mean (SD)
P
Value
Mean ML position (mm) –15.33 (7.62) –13.81 (9.05) –14.57 (8.31) .0011
Mean AP position (mm) –1.92 (2.85) –2.96 (2.27) –2.44 (2.6) .0364
Mean distance (mm) 2.94 (0.85) 2.71 (0.472) 2.83 (0.69) .2242
RMS distance (mm) 3.43 (0.91) 3.14 (0.52) 3.29 (0.75) .0745
ML range (mm) 21.99 (7.12) 20.68 (7.33) 21.34 (7.18) .0228
Total excursion 182.72 (54.66) 186.84 (33.84) 184.78 (44.97) .634
Mean velocity 10.14 (3.03) 10.37 (1.87) 10.26 (2.49) .634
95% condence circle area (mm2) 112.67 (58.99) 90.68 (32.31) 101.68 (48.34) .0484
Mean AP frequency (Hz) 0.90 (0.28) 0.98 (0.21) 0.94 (0.25) .0495
Mean ML frequency (Hz) 0.82 (0.20) 0.82 (0.23) 0.83 (0.31) .7297
Fractal dimension-CC 1.58 (0.08) 1.62 (0.06) 1.61 (0.08) .0530
Fractal dimension-CE 1.67 (0.12) 1.71 (0.09) 1.69 (0.11) .0574
Total AP power 82.63 (35.95) 102.13 (43.39) 92.38 (40.63) .0248
Note. Mean ML and AP positions are the position of COP from the center of the force platform. For all other measures, ML and AP positions are
normalized based on the mean ML/AP positions of COP. Table also indicates P values resulting from comparison of two conditions: with or without
orthotics.
Effect of Arch Supports on Postural Sway 17 7
the time domain area measures, the 95% condence circle
area of sway was signicantly reduced following the use
of insoles (P = .048).
The mean anteroposterior frequency of the COP
movement and total anteroposterior power also were
signicantly changed (P = .049 and 0.025 respectively).
Total power calculated as the integrated area of the
power spectrum in both directions showed a signicant
increase in AP direction (P = .025) following the use
of insoles (Figure 2). Fractal dimension circle area and
fractal dimension ellipse area did not show statistically
signicant differences in their mean (P = .053 and 0.057
respectively). The median value of fractal dimension
ellipse area, however, changed signicantly at the 5%
signicance level.
Discussion
Most studies in the literature have reported the effects
of the use of foot orthotics in athletes5 or in the presence
of a pathological condition (eg, References 2–4 and 6).
It is difcult to conclude from the literature, however,
whether the observed changes reported were attributed
to the orthotics or to the special conditions of partici-
pants. The focus of the current study was on the effect
of foot orthotics on postural steadiness of young adults
without the presence of any pathologies or conditions
that differentiated participants from the healthy young
adult population.
A limitation arises from the quasi-experimental
nature of this study. Participants of this study were not
randomly selected, although all were from the target
population of healthy, young adults, and none had been
prescribed or were using orthotic insoles at the time of
the study. Participants were not wearing shoes during the
tests, as footwear in general can contribute to changes in
postural sway as can differences in footwear.28 Lack of
footwear, however, could potentially deform the insole
and alter the proper functioning of the insole. Such
limitations must be given consideration when interpret-
ing the results.
Use of prefabricated orthotics shifted the mean
position of the COP anteriorly and laterally. This shift
in the COP has not been reported in previous studies on
foot orthotics. Small changes in the position of the COP,
however, have been found to result in large alterations
of forces and moments on knee joints.29 Changes in the
position of the COP per se, without being accompanied by
changes in the distance or velocity of the COP movement,
do not necessarily indicate changes in postural steadiness.
Such changes may be considered an issue of concern that
warrants further studies on more at-risk groups such as
older adults or pregnant women.
This study does not support signicant changes in
postural sway velocities in either AP or ML directions
and is in agreement with the nding of a previous study
on 15 college athletes with ankle sprain.6 In addition,
Percy and Menz (2001) reported that use of orthotics
does not signicantly affect postural sway, as measured
through optoelectronic devices that were recording
movement of the waist. They did note a trend, however,
in participants to sway less in the unipedal position when
prefabricated orthotics were used.5 The current study also
conrmed that participants tended to sway less when the
mean distance from mean COP position was measured.
Furthermore, the measurement of 95% condence circle
Figure 2 — The results of 95% condence fractal dimension circle and ellipse area in addition to total power computed based on
the power spectrum. Two conditions of no orthotics (NO) and with orthotics (WO) are compared. *Indicates statistically signicant
difference (P < .05). Note that nonoverlapping intervals in the fractal dimension ellipse indicate signicant differences between the
two medians at 5% signicance level.
178 Bateni
area of sway conrmed that individuals will sway in a
signicantly smaller area while wearing orthotics than
while not wearing orthotics.
Mediolateral range of postural sway substantially
decreased when orthotics were used (P = .023). Range
of postural sway is known to represent the most reliable
traditional variable of postural performance.30 Signicant
reduction in mediolateral sway of the COP is particularly
important to determine, since associations between
aging, lateral instability and the risk of falling is well
established.31–34 Studies of risk factors for hip fracture
have suggested that the ability to avoid lateral falls may
be equally if not more important than factors such as bone
quality or body mass index.35–37
The 95% confidence circle and ellipse areas of
fractal dimension were computed as suggested in the
literature.23,26,27 It appears that these variables have not
been measured in any other studies investigating the
effect of foot orthotics on postural steadiness. Fractal
dimension is a unitless measure indicating the potential
of the COP movement curve to ll out a metric space that
it encompasses. Fractal dimension measures are reported
to be more reliable than traditional measures of postural
sway30 since they provide additional information about
the underlying dynamics of the sway.
The 95% condence circle and ellipse areas of fractal
dimension were both measured in this study. Both values
showed a nonsignicant increase in the mean value
following the use of orthotics (P = .053 and P = .057
respectively). Fractal dimension ellipse area, however,
showed a signicant increase in median value (at the 5%
signicance level). Fractal dimension values technically
are derived from both velocity and movements of COP;
therefore, fractal dimension quanties the relationship
between the effort made by the central postural control
system and achieved postural steadiness.23 Substantial
increase in 95% condence circle and ellipse areas of
fractal dimension may indicate that when participants
were using orthotics, they may have put forth more effort
to reach the same level of postural steadiness as without
orthotics. Substantial increase in the mean frequency of
postural sway in AP direction (P = .0495) and total AP
power (P = .0248) also support the possibility of change
in mechanism of control when orthotics were used. This
may be due to the immediate change that participants
experienced under their feet and change of the mean posi-
tion of the COP as discussed earlier. One could speculate
that if the participants use orthotics long enough to get
used to changes in the mean position of the COP, fractal
dimension differences will be reduced to near original
values. So, after a given time, the presumed benets
and side effects of orthotic insoles may diminish due to
adaptation phenomenon.
In conclusion, the results showed that use of orthotic
insoles signicantly reduced mediolateral range of pos-
tural sway and 95% condence circle area of sway and
therefore improved postural steadiness initially. The
substantial increases in the 95% condence ellipse areas
of fractal dimension, however, suggest the possibility of
an increase in muscle activity to control posture. Future
studies should focus on the long-term effects of orthotic
insoles on postural control to determine whether initial
changes last over time.
Acknowledgments
The author would like to thank physical therapy students at
Northern Illinois University for their assistance on data col-
lection.
References
1. Nigg BM, Nurse MA, Stefanyshyn DJ. Shoe inserts and
orthotics for sport and physical activities. Med Sci Sports
Exerc. 1999;31(7, Suppl):S421–S428. PubMed
2. Mattacola CG, Dwyer MK, Miller AK, Uhl TL, McCrory
JL, Malone TR. Effect of orthoses on postural stability
in asymptomatic subjects with rearfoot malalignment
during a 6-week acclimation period. Arch Phys Med
Rehabil. 2007;88(5):653–660. PubMed doi:10.1016/j.
apmr.2007.02.029
3. Mulford D, Taggart HM, Nivens A, Payrie C. Arch sup-
port use for improving balance and reducing pain in older
adults. Appl Nurs Res. 2008;21(3):153–158. PubMed
doi:10.1016/j.apnr.2006.08.006
4. Stude DE, Brink DK. Effects of nine holes of simulated
golf and orthotic intervention on balance and propriocep-
tion in experienced golfers. J Manipulative Physiol Ther.
1997;20(9):590–601. PubMed
5. Percy ML, Menz HB. Effects of prefabricated foot orthoses
and soft insoles on postural stability in professional soccer
players. J Am Podiatr Med Assoc. 2001;91(4):194–202.
PubMed
6. Hertel J, Denegar CR, Buckley WE, Sharkey NA,
Stokes WL. Effect of rearfoot orthotics on postural
sway after lateral ankle sprain. Arch Phys Med Reha-
bil. 2001;82(7):1000–1003. PubMed doi:10.1053/
apmr.2001.22349
7. Cote KP, Brunet ME, Gansneder BM, Shultz SJ. Effects of
pronated and supinated foot postures on static and dynamic
postural stability. J Athl Train. 2005;40(1):41–46. PubMed
8. Tsai LC, Yu B, Mercer VS, Gross MT. Comparison of differ-
ent structural foot types for measures of standing postural
control. J Orthop Sports Phys Ther. 2006;36(12):942–953.
PubMed doi:10.2519/jospt.2006.2336
9. Hertel J, Gay MR, Denegar CR. Differences in postural
control during single-leg stance among healthy individuals
with different foot types. J Athl Train. 2002;37(2):129–
132. PubMed
10. Levangie PK, Norkin CC. Joint structure and function:
A comprehensive analysis. 4th ed. Philadelphia, PA: F.A.
Davis Co.; 2005.
11. Jeka J, Kiemel T, Creath R, Horak F, Peterka R. Con-
trolling human upright posture: velocity information is
more accurate than position or acceleration. J Neuro-
physiol. 2004;92(4):2368–2379. PubMed doi:10.1152/
jn.00983.2003
12. Prieto TE, Myklebust JB, Myklebust BM. Postural
steadiness and ankle joint compliance in the elderly.
IEEE Engineering in Medicine and Biology Magazine.
1992;11:25–27. doi:10.1109/51.256953
13. Demura S, Kitabayashi T, Noda M. Power spectrum char-
acteristics of sway position and velocity of the center of
Effect of Arch Supports on Postural Sway 17 9
pressure during static upright posture for healthy people.
Percept Mot Skills. 2008;106(1):307–316. PubMed
doi:10.2466/pms.106.1.307-316
14. Williams HG, McClenaghan BA, Dickerson J. Spectral
characteristics of postural control in elderly individuals.
Arch Phys Med Rehabil. 1997;78(7):737–744. PubMed
doi:10.1016/S0003-9993(97)90082-4
15. Riley MA, Balasubramaniam R, Turvey MT. Recurrence
quantification analysis of postural fluctuations. Gait
Posture. 1999;9(1):65–78. PubMed doi:10.1016/S0966-
6362(98)00044-7
16. Norris JA, Marsh AP, Smith IJ, Kohut RI, Miller ME.
Ability of static and statistical mechanics posturographic
measures to distinguish between age and fall risk. J Bio-
mech. 2005;38(6):1263–1272. PubMed doi:10.1016/j.
jbiomech.2004.06.014
17. Doyle TL, Dugan EL, Humphries B, Newton RU. Dis-
criminating between elderly and young using a fractal
dimension analysis of centre of pressure. Int J Med Sci.
2004;1(1):11–20. PubMed doi:10.7150/ijms.1.11
18. Stambolieva K. Fractal properties of postural sway during
quiet stance with changed visual and proprioceptive inputs.
J Physiol Sci Mar. 2011;61(2):123–130.
19. Dutton M. Orthopaedic examination, evaluation, and
intervention. New York: McGraw-Hill; 2004.
20. Ramanathan AK, John MC, Arnold GP, Cochrane L,
Abboud RJ. The effects of off-the-shelf in-shoe heel inserts
on forefoot plantar pressure. Gait Posture. 2008;28(4):533–
537. PubMed doi:10.1016/j.gaitpost.2008.03.007
21. Ramanathan AK, John MC, Arnold GP, Cochrane LA,
Abboud RJ. Off-the-shelf in-shoe heel inserts: Does cost
matter? Br J Sports Med. 2008;42(9):750–752. PubMed
doi:10.1136/bjsm.2007.040907
22. McIlroy WE, Maki BE. Preferred placement of the
feet during quiet stance: development of a standard-
ized foot placement for balance testing. Clin Biomech
(Bristol, Avon). 1997;12(1):66–70. PubMed doi:10.1016/
S0268-0033(96)00040-X
23. Prieto TE, Myklebust JB, Hoffmann RG, Lovett EG,
Myklebust BM. Measures of postural steadiness: dif-
ferences between healthy young and elderly adults.
IEEE Trans Biomed Eng. 1996;43(9):956–966. PubMed
doi:10.1109/10.532130
24. Rocchi L, Chiari L, Horak FB. Effects of deep brain stimu-
lation and levodopa on postural sway in Parkinson’s dis-
ease. J Neurol Neurosurg Psychiatry. 2002;73(3):267–274.
PubMed doi:10.1136/jnnp.73.3.267
25. Lafond D, Corriveau H, Hebert R, Prince F. Intrasession
reliability of center of pressure measures of postural
steadiness in healthy elderly people. Arch Phys Med
Rehabil. 2004;85(6):896–901. PubMed doi:10.1016/j.
apmr.2003.08.089
26. Forsman P, Haeggstrom E, Wallin A, Toppila E, Pyykko
I. Daytime changes in postural stability and repeat-
ability of posturographic measurements. J Occup Envi-
ron Med. 2007;49(6):591–596. PubMed doi:10.1097/
JOM.0b013e3180577796
27. Duarte M, Sternad D. Complexity of human postural
control in young and older adults during prolonged
standing. Exp Brain Res. 2008;191(3):265–276. PubMed
doi:10.1007/s00221-008-1521-7
28. Landry SC, Nigg BM, Tecante KE. Standing in an
unstable shoe increases postural sway and muscle activity
of selected smaller extrinsic foot muscles. Gait Posture.
Jun;32(2):215-219.
29. Shelburne KB, Torry MR, Steadman JR, Pandy MG.
Effects of foot orthoses and valgus bracing on the knee
adduction moment and medial joint load during gait. Clin
Biomech (Bristol, Avon). 2008;23(6):814–821. PubMed
doi:10.1016/j.clinbiomech.2008.02.005
30. Doyle TL, Newton RU, Burnett AF. Reliability of tra-
ditional and fractal dimension measures of quiet stance
center of pressure in young, healthy people. Arch Phys Med
Rehabil. 2005;86(10):2034–2040. PubMed doi:10.1016/j.
apmr.2005.05.014
31. McClenaghan BA, Williams HG, Dickerson J, Dowda
M, Thombs L, Eleaze r P. Spectral characteristics of
ageing postural control. Gait Posture. 1995;3:123.
doi:10.1016/0966-6362(95)99062-P
32. Maki BE. Direction- and vision-dependence of postural
responses in elderly “fallers” and “non-fallers”. Facts Res
Gerontol. 1995;9(suppl):83.
33. Maki BE, Holliday PJ, Topper AK. A prospective study
of postural balance and risk of falling in an ambula-
tory and independent elderly population. J Geron-
tol. 1994;49(2):M72–M84. PubMed doi:10.1093/
geronj/49.2.M72
34. Mitchell SL, Collins JJ, DeLuca CJ, Burrows A, Lipsitz
LA. Open-loop and closed-loop postural control mecha-
nisms in Parkinson’s disease: Increased mediolateral activ-
ity during quiet standing. Neurosci Lett. 1995;197:133.
PubMed doi:10.1016/0304-3940(95)11924-L
35. Nevitt MC, Cummings SR. Type of fall and risk of hip and
wrist fractures: The study of osteoporotic fractures. The
Study of Osteoporotic Fractures Research Group. [com-
ment] J Am Geriatr Soc. 1993;41(11):1226. PubMed
36. Greenspan SL, Myers ER, Kiel DP. Fall direction, bone
mineral density and function: Risk factors for hip fracture
in frail nursing home elderly. Am J Med. 1998;104:539.
PubMed doi:10.1016/S0002-9343(98)00115-6
37. Hayes WC, Myers ER, Robinovitch SN, Van Den
Kroonenberg A, Courtney AC, McMahon TA. Etiology and
prevention of age-related hip fractures. Bone. 1996;18(1,
Suppl):S77. PubMed doi:10.1016/8756-3282(95)00383-5
... Postural steadiness may be an indicator of the quality of balance and postural control. 10-13 Literature has linked time series 14, 15 and frequency domain [16][17][18][19] variables of postural sway to balance. Additionally, it is reported that state of anxiety and fear of falling impact postural sway. ...
... 22 While most studies of postural steadiness focus on quantification of time series variables extracted from postural sway signals, 23 others have suggested and utilized frequency domain variables of sway in parallel with time series variables to reveal more valuable information. 11,12, 19 Analysis of frequency content of a signal reveals underlying changes that often are not observed in time series. For instance, in the absence of movement, agonist and antagonist muscles may still be actively working against each other. ...
... whereas, sway velocity did not increase significantly from eyes open to foam standing (p=0. 19). On the other hand, for older adults, increase of sway velocity was significant when eyes open was compared to foam standing (p=0.044), while the increase in sway velocity was not significant when eyes open was compared to eyes closed (p=0.59). ...
Article
Full-text available
BACKGROUND: Falls can be detrimental to overall health and quality of life for lower extremity amputees. Most previous studies of postural steadiness focus on quantification of time series variables extracted from postural sway signals. While it has been suggested that frequency domain variables can provide more valuable information, few current studies have evaluated postural sway in amputees using frequency domain variables. OBJECTIVE: To determine time and frequency domain variables of postural sway among lower extremity amputees vs. healthy young and older adult controls. METHODOLOGY: Participants were assigned to 3 groups: lower extremity amputation (n=6), healthy young adults (n=10), and healthy older adults (n=10). Standing barefoot on a force platform, each individual completed 3 trials of each of 3 standing conditions: eyes open, eyes closed, and standing on a foam balance pad. Time and frequency domain variables of postural sway were computed and analyzed. RESULTS: Comparison of older adults, younger adults, and amputees on the three conditions of standing eyes open, eyes closed, and on foam revealed significant differences between groups. Mean mediolateral (ML) sway distance from the center of pressure (COP), total excursions and sway velocity was significantly higher for amputees and older adults when compared to young adults (p
... Previous studies have suggested the use of frequency domain variables in conjunction with time domain variables (e.g. total excursion and sway velocity) to reveal more valuable information. 25,26,33 Analysis of the frequency content of a signal may reveal underlying changes that are often not observed in a time series. 34 Our results indicated significant changes in the power of sway signal following rTMS sessions. ...
Article
Full-text available
Accidental falls and major depressive disorder (MDD) are two common conditions associated with aging. Initial treatment of MDD often starts with administering antidepressants, followed by transcranial magnetic stimulation (TMS) for treatment-resistant individuals. The purpose of this case study was to determine the effect of repetitive TMS (rTMS) on postural control of an individual with MDD. A 44-year-old male with recurrent severe MDD was assessed for postural balance during eyes closed and eyes open conditions, pre and post three consecutive sessions receiving high-frequency rTMS (NeuroStar). Total excursion and velocity of sway significantly decreased following rTMS treatment when eyes were closed (p < 0.05). Power of the sway changed, but the changes were not statistically significant. The fractal dimension confidence circle area decreased significantly in eyes closed trials (p < 0.05). It appears that rTMS application can potentially impact postural steadiness in individuals with MDD. Our results warrant further studies with larger study samples.
... Past research has shown that the use of ASIs in flat-footed individuals leads to the dispersion of plantar pressure through an increase in the foot contact area, which enables the recovery of foot arch functionality for the enhancement of stability and comfort [23]. A reduction in the CoP excursion and foot pronation angle of flat-footed individuals with the use of ASIs may be attributed to the increase in the postural stability of the feet [24], as the presence of support to the midfoot bones by ASIs provides stability to the ankles and promotes proprioception [25]. During the shooting process from the aiming phase to the moment of release, archers are required to maintain the highest level of stability to achieve good shooting performance. ...
Article
Full-text available
The purpose of this study was to analyze the effects of the use of arch-support insoles on the archery performance and center of plantar pressure (CoP) excursion in compound archers. Fifteen highly skilled compound archers were the subjects. A pressure plate was used to measure the CoP excursion and percentage distribution of plantar pressure. The parameters were compared between archers wearing flat and arch-support insoles using a paired-sample t-test. The results demonstrated that the shooting score in archers wearing the arch-support insole was significantly greater than in those wearing the flat insoles. The CoP excursion of the left foot, right foot, and both feet in archers wearing the arch-support insole were significantly smaller than in those wearing the flat insole. The distributed percentage of the plantar pressure showed that the arch-support insole significantly reduced the plantar pressure in the left posterior zone by 3.54% compared with the flat insole, and increased the plantar pressure in the right anterior zone by 2.54%. The principal conclusion was that compound archers wearing arch-support insoles during the arrow-release process can reduce the CoP excursion of the foot and increase their shooting score. The plantar pressure was distributed evenly in arch-support insoles.
... We present hereafter the formula using the confidence ellipse, which is more flexible. The value of the fractal dimension could increase in healthy adults when the eyes are closed (Tassani et al., 2019) or when wearing orthopedic insoles (Bateni, 2013). Significantly higher values were found in young participants than in elderly people during eyes-open recording (Qiu & Xiong, 2015). ...
Article
Full-text available
Postural control is often quantified by recording the trajectory of the center of pressure (COP)—also called stabilogram—during human quiet standing. This quantification has many important applications, such as the early detection of balance degradation to prevent falls, a crucial task whose relevance increases with the aging of the population. Due to the complexity of the quantification process, the analyses of sway patterns have been performed empirically using a number of variables, such as ellipse confidence area or mean velocity. This study reviews and compares a wide range of state‐of‐the‐art variables that are used to assess the risk of fall in elderly from a stabilogram. When appropriate, we discuss the hypothesis and mathematical assumptions that underlie these variables, and we propose a reproducible method to compute each of them. Additionally, we provide a statistical description of their behavior on two datasets recorded in two elderly populations and with different protocols, to hint at typical values of these variables. First, the balance of 133 elderly individuals, including 32 fallers, was measured on a relatively inexpensive, portable force platform (Wii Balance Board, Nintendo) with a 25‐s open‐eyes protocol. Second, the recordings of 76 elderly individuals, from an open access database commonly used to test static balance analyses, were used to compute the values of the variables on 60‐s eyes‐open recordings with a research laboratory standard force platform. The lack of description of calculation methods for the variables extracted from the stabilogram limits reproducibility and comparison between studies. We propose an explicit corpus of postural variables with their values computed on two databases.
... It was also shown to decrease the tension in plantar aponeurosis [1,19]. FO with arch support has been reported to improve fit, balance and mechanical transfer of ground force to foot, and reduce pain [45,[60][61][62][63][64]. However, careful attention should be paid on their positioning to avoid bias in knee alignment [45]. ...
Article
Objective: Foot orthoses (FOs) are popular treatment to alleviate several abnormalities of lower extremity. FO designs might alter lower extremity biomechanics differently, but the association is not yet known. This review aimed to evaluate how different FO designs, namely FO with medial posting, lateral posting, arch support, or arch & heel support, change lower limb kinematics and kinetics during walking. Literature survey: Electronic database search were conducted from inception to March 2019, and 25 papers passed the inclusion criteria. Two independent reviewers checked the quality using a modified Downs and Black checklist (73.7±5.5%) and a biomechanical quality checklist (71.4±17.1%). Effect sizes for differences between with- and without- FO walking were calculated, and meta-analysis was performed whenever at least two studies reported the same variable. Results: Medial posting reduced peak ankle eversion moment. Lateral posting brought about higher peak ankle dorsiflexion and peak ankle eversion for kinematics, as well as higher peak ankle abduction moment, lower peak knee adduction moment, and higher peak mediolateral ground reaction force (GRF) for kinetics. FOs with either arch support or arch & heel support tended to decrease vertical ground reaction force, but it was not significant. Conclusion: The findings of this review reveal that medial or lateral posting work efficiently to change foot and knee kinematics and kinetics. However, the impact force is just slightly decreased by arch-supported and heel supported FOs. Due to the small number of available studies, and heterogeneity in meta-analysis findings, further research with more standardized biomechanical approach are required.
... According to Bateni, H. [2] the orthotics insole can provide postural stability and reduce foot pain for the sports usage. Mercer and Horsch [3] stated that orthotic insoles can support the feet controlling abnormal for motion in order to prevent it from moving inward or outward. ...
Conference Paper
Full-text available
The objectives of this paper are to investigate the muscle activity against improvised flat feet orthotics insole using electromyography. Length, width and thickness of orthotics insole are based on average size of flat feet respondents. Flexifoam X were filled up in the fabricated wood mould. The comparison between fabricated and existing orthotics insole shows different result during evaluation using electromyography on tibialis anterior and peroneus longus generated by muscle strength responsible for lower limb movement. The different material for each insole contributes to vary result on average median frequency and root mean square that produce by the muscle from each respondent.
... In this study, the 95% confidence ellipse area between the FI and FPBI in the Romberg posture with eyes closed and dominant single leg standing position with eyes opened conditions was significantly decreased (p<0.05). A previous study reported that the medio-lateral range of COP movement and the 95% confidence circle area of sway was significantly reduced after applying prefabricated orthotic insoles [32]. In this study, the COP path length between FI and FPBI in the Romberg posture with eyes closed and dominant single leg standing position with eyes opened was significantly decreased (p<0.05). ...
... The present review did not include effects on muscle activity or plantar pressures, which could also explain FO therapeutic effectiveness. While low evidence of beneficial effect on lower limb kinematics an kinetics were found, arch support for example, may improve balance and ground reaction forces parameters (Bateni, 2013;Martins et al., 2016) such as the shift of loads from the forefoot and rearfoot toward the midfoot (Aminian et al., 2013;Chen et al., 2010). The redistribution of plantar pressure is effective in people with pes planovalgus to resist arch depression and reduce soft tissue stress injuries (Kogler et al., 1996). ...
Article
Foot orthoses are commonly used for the management of excessive foot pronation in people with pes planovalgus. However, results are inconsistent due to variability in orthosis geometrical designs. This systematic review with meta-analysis aimed to classify and investigate the effects of foot orthoses, based on their design, in terms of lower limb kinematics and kinetics in people with pes planovalgus. Electronic databases were searched up until August 2017. Peer-reviewed journal studies including adult participants with flexible pes planovalgus and reporting kinematics and kinetics effects of foot orthoses during walking were included and classified based on the orthosis design. Eleven studies were retained and assessed according to methodological (mean 76.1%; range [63.2%–84.2%] - high) and biomechanical (mean 71.6%; range [44.4%–100%] - moderate) qualities. Meta-analysis was performed by calculating the effect size, using standardized mean differences, between control and orthotics conditions. Meta-analysis revealed less rearfoot eversion with the use of foot orthoses including medial forefoot or both forefoot and rearfoot posting. However, no significant effect of foot orthoses with arch support and neutral rearfoot posting to control excessive foot pronation were found. In terms of kinetics, none of the foot orthoses showed effects. Using medial posting is the most effective foot orthotic feature to reduce the peak rearfoot eversion and to control excessive foot pronation. Nevertheless, heterogeneity between study protocols contributes to the low evidences of foot orthoses effects on kinematics and kinetics during walking in people with pes planovalgus.
Article
Flatfoot, a foot deformity characterized by the collapse of the arch, significantly impacts an individual's balance and stability. This study explored postural adjustments and sway excursions in individuals with and without flatfoot using the Time‐in‐Boundary method. This method assessed relative stability by exploring various center of pressure radius thresholds during three trials of single‐leg stance. We observed significant interactions in threshold levels ( F = 4.37, p = 0.04) and normalized relative stable times ( F = 7.64, p = 0.01), particularly in the initial trials. Initially, the flatfoot group showed marked decreases in stable times at 10 mm, 15 mm, and 20 mm thresholds, which expanded to 25 mm and 30 mm in subsequent trials. Despite a significant decrease in stability at the 30 mm threshold in early trials, participants exhibited improved stability control as trials progressed. This enhancement likely reflects a combination of a learning effect and an increased understanding of the task requirements, underscoring the adaptability of postural control systems to the biomechanical challenges posed by flatfoot. The Time‐in‐Boundary method has proven to be an effective tool for clinicians to assess postural control, playing a vital role in developing customized rehabilitation strategies for individuals with flatfoot.
Article
Purpose Foot misalignments are possible risk factors for injuries to the knee and lumbar spine during daily activity. This study identified the lumbo-pelvic–knee kinematics and centre-of-pressure progression characteristics of the human trunk during stand-to-sit (STSI) transfer in people with different foot types. This study investigates the lower arch foot influence on lumbar–pelvic–knee kinematics and centre-of-pressure progression trunk characteristics during STSI transfer. Methods Thirty-nine participants were assessed using the R-scan footscan system to define three different foot types (flat feet, normal feet, and asymmetric feet). Two electro goniometers and one inclinometer were used to record lumbar, pelvic and knee joint kinematic data during STSI transfer. A Tekscan mat system laced under the gluteal area was used to measure the trunk centre-of-pressure progression. The centre-of-pressure progression path, standard path deviation, velocity and acceleration were calculated. Results The flat foot group tended to use a more frontal plane range of motion and velocity in the pelvis than the normal group. The asymmetric foot group exhibited smaller sagittal plane lumbar motion and velocity, with a more frontal plane motion and velocity than normal participants. When arch support was used, the centre-of-pressure path standard deviation in the medial–lateral and anterior–posterior directions exhibited a significant decrease in all groups. There were no significant differences in kinematics, total centre-of-pressure path and centre-of-pressure progression acceleration between those with and without foot arch support. Conclusion Participants with flat or asymmetric feet might have difficulty distributing the load forces evenly through both lower limbs and must use a different lumbar–pelvic strategy to compensate. Whether these adaptive kinematic strategies in the low arch group induce the development of injury requires further long-term investigation.
Article
Full-text available
Aging is known to have a degrading influence on many structures and functions of the human sensorimotor system. The present work assessed aging-related changes in postural sway using fractal and complexity measures of the center of pressure (COP) dynamics with the hypothesis that complexity and fractality decreases in the older individuals. Older subjects (68 +/- 4 years) and young adult subjects (28 +/- 7 years) performed a quiet stance task (60 s) and a prolonged standing task (30 min) where subjects were allowed to move freely. Long-range correlations (fractality) of the data were estimated by the detrended fluctuation analysis (DFA); changes in entropy were estimated by the multi-scale entropy (MSE) measure. The DFA results showed that the fractal dimension was lower for the older subjects in comparison to the young adults but the fractal dimensions of both groups were not different from a 1/f noise, for time intervals between 10 and 600 s. The MSE analysis performed with the typically applied adjustment to the criterion distance showed a higher degree of complexity in the older subjects, which is inconsistent with the hypothesis that complexity in the human physiological system decreases with aging. The same MSE analysis performed without adjustment showed no differences between the groups. Taken all results together, the decrease in total postural sway and long-range correlations in older individuals are signs of an adaptation process reflecting the diminishing ability to generate adequate responses on a longer time scale.
Article
The purpose of this study was to apply techniques of spectral analysis to the study of postural control and determine if aging results in changes to spectral parameters obtained from postural forces. Subjects were young adults and elderly who live independently and had no difficulty performing tasks of daily living. Ground reaction forces were obtained from a measurement plat-form during repeated trials of static standing. Forces were analyzed using spectral analysis and selected parameters (central tendency and dispersion) were extracted from averaged spectral data. Significant differences were observed between age groups in all parameters extracted from spectra obtained from medial-lateral postural forces. Similar results were not obtained for data in the anterior-posterior direction. Results suggest that aging affects the spectral characteristics of postural forces used to maintain stability in the m-l direction.
Article
To assess reliability of traditional and fractal dimension measures of quiet stance center of pressure (COP). Cross-sectional study. University laboratory. Thirty young healthy men (n=20) and women (n=10) (mean age, 23 y). Not applicable. COP was recorded for 3 trials across 4 conditions: eyes open and eyes closed standing on firm and foam surfaces. Traditional COP variables--peak sway velocity and range of sway, both in the anteroposterior (AP) and mediolateral (ML) directions, and total excursion area, and fractal dimension of the COP in the AP and ML directions--were calculated. Reliability statistics were calculated. Range of sway (AP) was the most reliable traditional variable (intraclass correlation coefficient model 2,1 [ICC(2,1)] range -.28 to .72.). Peak sway velocity (AP) had poorest reliability (ICC(2,1) range, .05-.29). Only 1 of the traditional variables had excellent reliability; total excursion area (firm, eyes closed) (ICC(2,1)=.95). All bar 1 fractal dimension measures had excellent ICCs. Relative technical error of measurement ranged from 4% to 7% for the fractal dimension measures. Coefficients of variation were also very good, ranging from 1.8% to 6.7%. Fractal dimension measures were more reliable than traditional measures of COP. Although traditional measures are used extensively to assess COP, their reliability is questionable. Fractal dimension measures show promise to reliably quantify COP and warrant further investigation.
Article
We studied the fractal dynamics of postural sway during quiet stance with changed visual and/or proprioceptive information. Radius-vector length and angle of rotation of center of foot pressure (COP) displacements were used as parameters of postural sway. The experiments were performed on 24 healthy volunteers of both sexes aged 20-30 years. Using a battery of nonlinearity tests, differences in the degree of fractality of both parameters during stance were found. We found that the behavior of radius-vector was similar to fractional Brownian motion, while that of angle of rotation was similar to flicker noise. Quantitative parameters that can be used to characterize the changes in radius-vector length and angle of rotation include self-similarity intervals and fractal dimension. In healthy subjects, the process of postural control maintains its fractal structure independently of altered sensory information. We believe that this analysis provides information about new methods for evaluating postural sway behavior during quiet stance.
Article
Inactivity or the under-utilization of lower limb muscles can lead to strength and functional deficits and potential injury. Traditional shoes with stability and support features can overprotect the foot and potentially contribute to the deterioration of the smaller extrinsic foot muscles. Healthy subjects (n=28) stood in an unstable MBT (Masai Barefoot Technology) shoe during their work day for a 6-week accommodation period. A two-way repeated measures ANOVA was used to determine (i) if unstable shoe wear increased electromyographic (EMG) activity of selected extrinsic foot muscles and increased postural sway compared to standing barefoot and in a stable control shoe and (ii) if postural sway and muscle activity across footwear conditions differed between a pre- and post-accommodation testing visit. Using an EMG circumferential linear array, it was shown that standing in the unstable shoe increased activity of the flexor digitorum longus, peroneal (PR) and anterior compartment (AC) muscles of the lower leg. No activity differences for the larger soleus (SOL) were identified between the stable and unstable shoe conditions. Postural sway was greater while standing in the unstable shoe compared to barefoot and the stable control shoe. These findings suggest that standing in the unstable MBT shoe effectively activates selected extrinsic foot muscles and could have implications for strengthening and conditioning these muscles. Postural sway while standing in the unstable MBT shoe also decreased over the 6-week accommodation period.
Article
The purpose of this study was to examine the effects of arch supports on balance, functional mobility, and pain in the back and lower extremity joints among older adults. A single-factor within-subjects design was used. A convenience sample of older adults formed a single group for fitting with arch supports. Balance, functional mobility, and self-reported pain in the back and lower extremities were measured without the arch supports, immediately after the insertion of the supports in the subjects' shoes, and after 6 weeks of arch support use. Sixty-seven older adults completed the study. The measures used indicated statistically significant improvements in scores for the Berg Balance Scale [Berg, K., Williams-Dauphinee, S., & Williams, J. I., (1995). The Balance Scale: Reliability assessment for elderly residents and patients with an acute stroke. Scandinavian Journal of Rehabilitation Medicine, 27, 27-31] and functional mobility [Timed Up and Go test; Podsiadlo, D., & Richardson, S. (1991). The Timed "Up and Go": A test of basic functional mobility for frail elderly persons. Journal of the American Geriatrics Society, 39, 142-148] as well as reduced back, foot, knee, and hip pain (p < .05). There was no statistically significant change in ankle pain (p > .05). Knowledge of interventions that enhance health and well-being is essential for nurses. Arch supports may provide improved balance and functional mobility while reducing back and lower extremity joint pains. Further research is needed to support evidence-based practice.
Article
Objective : To determine the causes of hip or wrist fractures. Design : Case‐control analysis nested in a prospective cohort study. Setting : Four clinical centers in Baltimore, Maryland, Minneapolis Minnesota, Portland, Oregon, and Monessen, Pennsylvania. Participants : Non‐black women age 65 and older living in the community. Measurements : We measured bone density, arm strength, and anthropometric characteristics at a baseline examination. Those who subsequently suffered hip ( n = 130) or wrist ( n = 294) fractures as a result of a fall and a consecutive sample of those who fell without a fracture ( n = 467) were interviewed about their falls. Results : In multivariate analyses, those who suffered hip fractures were more likely to have fallen sideways or straight down (odds ratio 3.3; 95% confidence interval 2.0 to 5.6) and to have landed on or near the hip (32.5; 9.9, 107.1) than women who fell without a fracture. Among women who fell on the hip, those with hip fractures were taller (1.5; 1.2, 2.2 per SD increase), less likely to have landed on a hand (0.3; 0.1 to 0.6) or to break the fall by grabbing or hitting an object (0.4; 0.2, 0.9), had weaker triceps (1.7; 1.2, 2.5 per SD decrease), and were more likely to land on a hard surface (2.8; 1.4, 5.5) than those without fractures. Women with wrist fractures were more likely to have fallen backward (2.2; 1.3, 3.8) and to have landed on a hand (20.4; 11.5, 36.0) than those who fell without a fracture. Among women who fell on the hand, those with wrist fractures were taller (1.4; 1.1, 1.8 per SD increase) and less likely to break the fall by grabbing or hitting an object (0.4; 0.2, 0.7). Among women who fell on their hip or hand, the risk of fracturing that site more than doubled for each standard deviation decrease in bone density at the site of fracture. Conclusions : The nature of the fall determines the type of fracture, while bone density and factors that increase or attenuate the force of impact of the fall determine whether a fracture will occur when a faller lands on a particular bone. These findings have important implications for prevention of fractures in older women.
Article
An ability to predict risk of future falling is needed in order to target high-risk individuals for preventive intervention. The purpose of this study was to compare the ability of different measures of postural balance to predict risk of falling prospectively in an ambulatory and independent elderly population. Balance tests were performed on 100 volunteers (aged 62-96), and falling was then monitored prospectively over a one-year period. The balance testing comprised measurements of: (a) spontaneous postural sway, (b) induced anterior-posterior sway, (c) induced medial-lateral sway, (d) anticipatory adjustments preceding volitional arm movements, (e) timed one-leg stance, and (f) performance on a clinical balance assessment scale. Small pseudorandom platform motions were used to perturb balance in the induced-sway tests. Using force plates, the spontaneous- and induced-sway responses were quantified in terms of the amplitude, speed, and mean frequency of the center-of-pressure displacement; input-output models were also used to parameterize the induced-sway performance. Although a number of measures showed evidence of significant differences between fallers and nonfallers, the differences were most pronounced for measures related to the control of lateral stability. Lateral spontaneous-sway amplitude (blindfolded conditions) was found to be the single best predictor of future falling risk, particularly for the large group of falls that were precipitated by a biomechanical perturbation. This measure was able to predict future falling risk with moderate accuracy, even in those individuals with no recent history of falling. The results suggest that control of lateral stability may be an important area for fall-preventative intervention. The ability of a simple and safe force-plate measure of spontaneous postural sway to predict future falling risk suggests a possible clinical application as a preliminary screening tool for risk of falling.