Tokyo University of Science.
Percept Mot Skills. 2011 Aug;113(1):127-38. doi: 10.2466/10.13.15.PMS.113.4.127-138.
This study is aimed at examining body sway factors for 1107 healthy people aged 16 to 69 years and to propose a practical body sway evaluation method. The center of foot pressure measurement was carried out twice for 1 min. with a 1-min. rest. 30 parameters with high reliability selected from 6 domains (distance, distribution of amplitude, area, velocity, power spectrum, and body sway vector) were summarized objectively into 4 body sway factors (unit time sway, front-back sway, left-right sway, and high frequency band power). Factor scores were calculated by the estimate equation and the total standard scores of parameters with high factor loadings. Considering this result, a total standard score for each factor was classified into 4 percentile categories based on percentile rank. Using this classification criteria, body sway scores for each individual were classified into any of the above 4 domains for each factor. It was confirmed that young adults mainly belong to percentile Categories A and B and the elderly mainly belong to percentile Categories C and D. It was found that a great effect on body sway occurred when an individual's conscious condition changed (contracting a cold or after exercise). In conclusion, the body sway of healthy people can be explained by these 4 sway factors. An evaluation of the body sway pattern using the 4 sway factors may enable us to concretely understand individuals' disorders and abnormal states in addition to changes in body sway that occur with aging.
本研究旨在检测 1107 名 16 至 69 岁健康人群的身体晃动因素，并提出一种实用的身体晃动评估方法。采用中心足压测量法，对被试者双脚各测量 1 分钟，期间休息 1 分钟。从 6 个领域（距离、振幅分布、面积、速度、功率谱和身体晃动向量）中选择 30 个可靠性高的参数，客观地总结为 4 个身体晃动因素（单位时间晃动、前后晃动、左右晃动和高频带功率）。通过估计方程和高因子负荷参数的总标准分数计算因子得分。考虑到这一结果，根据百分位数等级将每个因素的总标准分数分为 4 个百分位类别。使用这个分类标准，每个人的身体晃动分数可以根据每个因素的上述 4 个类别进行分类。结果表明，年轻人主要属于 A 和 B 百分位类别，老年人主要属于 C 和 D 百分位类别。研究还发现，当个体的意识状态发生变化（感冒或运动后）时，身体晃动会发生显著变化。总之，健康人群的身体晃动可以用这 4 个晃动因素来解释。使用这 4 个晃动因素评估身体晃动模式，除了可以了解到与衰老相关的身体晃动变化外，还可以具体了解个体的障碍和异常状态。
