Postural tasks are associated with center of pressure spatial patterns of three-dimensional statokinesigrams in young and elderly healthy subjects |
| |
Authors: | Patrí cia Junqueira Ferraz Baracat,Arthur de Sá Ferreira |
| |
Affiliation: | Laboratory of Human Movement Analysis, Postgraduation Program of Rehabilitation Science, Centro Universitário Augusto Motta, Praça das Nações 34, 3° Andar, Bonsucesso, CEP 21041-021 Rio de Janeiro, Brazil |
| |
Abstract: | The present study investigated the association between postural tasks and center of pressure spatial patterns of three-dimensional statokinesigrams. Young (n = 35; 27.0 ± 7.7 years) and elderly (n = 38; 67.3 ± 8.7 years) healthy volunteers maintained an undisturbed standing position during postural tasks characterized by combined sensory (vision/no vision) and biomechanical challenges (feet apart/together). A method for the analysis of three-dimensional statokinesigrams based on nonparametric statistics and image-processing analysis was employed. Four patterns of spatial distribution were derived from ankle and hip strategies according to the quantity (single; double; multi) and location (anteroposterior; mediolateral) of high-density regions on three-dimensional statokinesigrams. Significant associations between postural task and spatial pattern were observed (young: gamma = 0.548, p < .001; elderly: gamma = 0.582, p < .001). Robustness analysis revealed small changes related to parameter choices for histogram processing. MANOVA revealed multivariate main effects for postural task [Wilks’ Lambda = 0.245, p < .001] and age [Wilks’ Lambda = 0.308, p < .001], with interaction [Wilks’ Lambda = 0.732, p < .001]. The quantity of high-density regions was positively correlated to stabilogram and statokinesigram variables (p < .05 or lower). In conclusion, postural tasks are associated with center of pressure spatial patterns and are similar in young and elderly healthy volunteers. Single-centered patterns reflected more stable postural conditions and were more frequent with complete visual input and a wide base of support. |
| |
Keywords: | 2220 |
本文献已被 ScienceDirect 等数据库收录! |
|