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How do skeletal and postural parameters contribute to maintain balance during walking?

Authors :
Chris Labaki
Ziad Bakouny
Abir Massaad
Ayman Assi
Aren Joe Bizdikian
Joeffroy Otayek
Mario Mekhael
Fares Yared
Ismat Ghanem
Wafa Skalli
Université Saint-Joseph de Beyrouth (USJ)
Institut de Biomécanique Humaine Georges Charpak (IBHGC)
Université Sorbonne Paris Nord-Arts et Métiers Sciences et Technologies
HESAM Université (HESAM)-HESAM Université (HESAM)
This research was funded by the University of Saint-Joseph (grant FM183). The funding source did not intervene in study design
in the collection, analysis and interpretation of data
in the writing of the report
and in the decision to submit the article for publication.
Source :
Human Movement Science, Human Movement Science, Elsevier, 2020, 72, pp.1-10. ⟨10.1016/j.humov.2020.102658⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

Introduction: Maintaining balance during gait allows subjects to minimize energy expenditure and avoid falls. Gait balance can be measured by assessing the relationship between the center of mass (COM) and center of pressure (COP) during gait. Demographics, skeletal and postural parameters are known to influence gait balance. Purpose: What are the determinants of dynamic balance during gait in asymptomatic adults among skeletal and demographic parameters? Methods: 115 adults underwent 3D gait analysis and full-body biplanar X-rays. Angles between the COM-COP line and the vertical were calculated in frontal and sagittal planes during gait: maxima, minima, and ROM were evaluated. Full-body 3D reconstructions were obtained; skeletal and postural parameters of the spine (lumbar lordosis, thoracic kyphosis, sagittal vertical axis SVA), pelvis (pelvic tilt and incidence, acetabular orientation in the 3 planes) and lower limbs (neck shaft angle femoral and tibial torsions) were calculated. A univariate followed by a multivariate analysis were computed between the COM-COP parameters and skeletal and demographic parameters. Results: The univariate analysis showed that in the frontal plane, maximum (4.6°) of the COMCOP angle was significantly correlated with weight (r =0.53), age (r =0.28), height (r = 0.35), SVA (r = 0.23), T1T12 (r = 0.24) and pelvic width (r = 0.25).In the sagittal plane, maximum COM-COP (19.7 ± 2.8°) angle was significantly correlated to acetabular tilt (r = 0.25) and acetabular anteversion (r =0.21). The multivariate analysis showed that, in the frontal plane, an increase in the maximum of the COM-COP angle was determined by a decreasing height (β = −0.28), an increasing weight (β = 0.48), being a male (β = −0.42), and an increasing posterior acetabular coverage (β = 0.22). In the sagittal plane, an increasing maximum COMCOP angle was determined by a decreasing height (β = −0.38) and an increasing SVA (β = 0.19). Conclusion: Frontal imbalance appeared to be mainly correlated to demographic parameters. Sagittal imbalance was found to be correlated with weight, height, acetabular parameters and SVA. These results suggest that in addition to demographic parameters, acetabular parameters and SVA are important determinants of balance during gait. This research was funded by the University of Saint-Joseph (grant FM183). The funding source did not intervene in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.

Details

Language :
English
ISSN :
01679457
Database :
OpenAIRE
Journal :
Human Movement Science, Human Movement Science, Elsevier, 2020, 72, pp.1-10. ⟨10.1016/j.humov.2020.102658⟩
Accession number :
edsair.doi.dedup.....0f539413f239e8182e35b8e2c2922df1
Full Text :
https://doi.org/10.1016/j.humov.2020.102658⟩