Quantifying the Efficacy and Dose-Response of Unstable Surface Training in Healthy Individuals: A Multi-Level Modelling Approach to Balance Performance
Shengfa Lin , Zhijie Yan , Zhiyuan Xu , Mao Zhou , Dong Zhang , Ruidong Liu
Journal of Science in Sport and Exercise ›› : 1 -17.
Unstable Surface Training (UST) enhances postural control, yet its efficacy for transferable balance and optimal dosing remains debated. To quantify UST effects on balance in healthy individuals and establish evidence-based dose-response guidelines.
A systematic search of four databases identified 47 randomized controlled trials. A three-level random-effects meta-analysis was employed to account for data dependency. Sensitivity analyses were performed to identify influential cases and robust dose-response relationships.
UST significantly improved overall static (Hedges’g = 0.55, P < 0.01) and dynamic balance (g = 0.33, P < 0.01). Subgroup analysis revealed extreme task specificity: gains were largest for functional tasks on unstable surfaces (g = 1.26) but significantly lower for stable-ground laboratory measures (g = 0.45). For static balance, an exploratory meta-regression suggested a non-linear trend peaking at 5–6 weeks; however, this observation should be interpreted cautiously due to study clustering. For dynamic balance, a frequency of 3 sessions/week yielded the highest certainty of improvement (g = 0.45).
UST is an effective modality for enhancing postural control under labile conditions. While limited transfer to stable surfaces suggests it should serve as a supplementary neural primer, the observed 5–6 week adaptation peak is strictly hypothesis-generating. Future longitudinal trials are required to validate this temporal pattern, whereas an optimal frequency of 3 sessions/week is currently supported for dynamic balance.
Unstable Surface Training / Instability Training / Balance / Dose-Response / Three-Level Meta-Analysis
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
Cohen J. A power primer. Psychol Bull. 1992;112(1):155–9. https://doi.org/10.1037//0033-2909.112.1.155. |
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
Deeks JJ, Higgins JPT, Altman DG, Cochrane Statistical Methods Group. Analysing data and undertaking meta-analyses. In: Cochrane handbook for systematic reviews of interventions. Chichester, UK: Wiley; 2019; pp. 241–84. |
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
Harrell FE. Jr. Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis. 2nd ed. New York: Springer: 2015; pp. 11–40. |
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
|
Beijing Sport University
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