Background

Difficulties in walking and balance are risk factors for falling. This study aimed to predict dynamic balance based on demographic information and anthropometric dimensions in construction workers.

Methods

This descriptive-analytical study was conducted on 114 construction workers in 2020. First, the construction workers were asked to complete the demographic questionnaire determined in order to be included in the study. Then anthropometric dimensions were measured. The dynamic balance of participants was also assessed using the Y Balance test kit. Dynamic balance prediction was performed based on demographic information and anthropometric dimensions using multiple linear regression with SPSS software version 25.

Results

The highest average normalized reach distances of YBT were in the anterior direction and were 92.23 ± 12.43% and 92.28 ± 9.26% for right and left foot, respectively. Both maximal and average normalized composite reach in the YBT in each leg were negatively correlated with leg length and navicular drop and positively correlated with the ratio of sitting height to leg length. In addition, multiple linear regressions showed that age, navicular drop, leg length, and foot surface could predict 23% of the variance in YBT average normalized composite reach of the right leg, and age, navicular drop, and leg length could predict 21% of that in the left leg among construction workers.

Conclusion

Approximately one-fifth of the variability in the normalized composite reach of dynamic balance reach among construction workers using method YBT can be predicted by variables age, navicular drop, leg length, and foot surface.

中文翻译：

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基于人口学信息和人体测量学维度的建筑工人动态平衡预测能力

背景

行走和平衡困难是跌倒的危险因素。本研究旨在根据建筑工人的人口统计信息和人体测量维度预测动态平衡。

方法

这项描述性分析研究是在 2020 年对 114 名建筑工人进行的。首先，要求建筑工人完成确定的人口统计问卷，以便纳入研究。然后测量人体尺寸。参与者的动态平衡也使用 Y 平衡测试套件进行了评估。动态平衡预测是基于人口统计信息和人体测量学维度使用多元线性回归和 SPSS 软件版本 25 进行的。

结果

YBT 的最高平均标准化到达距离在前方向，左右脚分别为 92.23 ± 12.43% 和 92.28 ± 9.26%。每条腿 YBT 的最大和平均归一化复合范围均与腿长和舟骨下降呈负相关，与坐高与腿长的比率呈正相关。此外，多元线性回归表明，年龄、舟骨下垂、腿长和足表面积可以预测右腿 YBT 平均归一化复合伸展范围的 23% 的方差，而年龄、舟骨下垂和腿长可以预测 21%在建筑工人的左腿中。

结论

使用 YBT 方法的建筑工人动态平衡范围的归一化复合范围中大约五分之一的可变性可以通过变量年龄、舟骨下垂、腿长和足部表面来预测。