Effects of different lower-limb sensory stimulation strategies on postural regulation : A systematic review and meta-analysis
Woo, M. T., Davids, K., Liukkonen, J., Orth, D., Chow, J. Y., & Jaakkola, T. (2017). Effects of different lower-limb sensory stimulation strategies on postural regulation : A systematic review and meta-analysis. PLoS ONE, 12(3), Article e0174522. https://doi.org/10.1371/journal.pone.0174522
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2017Copyright
© 2017 Woo et al. This is an open access article distributed under the terms of the
Creative Commons Attribution License.
Systematic reviews of balance control have tended to only focus on the effects of single
lower-limb stimulation strategies, and a current limitation is the lack of comparison between
different relevant stimulation strategies. The aim of this systematic review and meta-analysis
was to examine evidence of effects of different lower-limb sensory stimulation strategies
on postural regulation and stability. Moderate- to high- pooled effect sizes (Unbiased
(Hedges’ g) standardized mean differences (SMD) = 0.31–0.66) were observed with the
addition of noise in a Stochastic Resonance Stimulation Strategy (SRSS), in three populations
(i.e., healthy young adults, older adults, and individuals with lower-limb injuries), and
under different task constraints (i.e., unipedal, bipedal, and eyes open). A Textured Material
Stimulation Strategy (TMSS) enhanced postural control in the most challenging condition—
eyes-closed on a stable surface (SMD = 0.61), and in older adults (SMD = 0.30). The Wearable
Garments Stimulation Strategy (WGSS) showed no or adverse effects (SMD = -0.68–
0.05) under all task constraints and in all populations, except in individuals with lower-limb
injuries (SMD = 0.20). Results of our systematic review and meta-analysis revealed that
future research could consider combining two or more stimulation strategies in intervention
treatments for postural regulation and balance problems, depending on individual needs.
...


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Except where otherwise noted, this item's license is described as © 2017 Woo et al. This is an open access article distributed under the terms of the
Creative Commons Attribution License.
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