An assessment tool to predict the ability of rolling based on the physical characteristics among elderly patients

1. 本研究的目的是开发一种评估工具，以预测老年患者的滚动模式，基于一个公式，考虑他们的相关身体特征。方法对象：36例65岁以上老年人。程序：滚动模式（标准变量）根据其相关的物理特征（解释变量）进行分组。根据变量建立预测公式，然后作为计算机化评估工具实现。随后，5名护理老年患者的护士对该工具进行了评估。结果(1)滚动模式：每个滚动都是由一系列动作组成，这些动作呈现出特定的模式来辅助运动；在观察的患者中，检测到3种不同的滚动模式肩先型：肩膀在骨盆之前旋转。躯干从上半身开始旋转。骨盆先行型：骨盆在肩膀之前旋转。躯干从下半身开始旋转。骨盆先行型：通过抬高膝盖和推地板，骨盆和肩膀同时旋转。躯干不发生扭曲。滚动运动由两个公式确定。该公式对滚动运动的预测成功率为70.9%。（p<0.01） z1=1.03*性别+1.11*膝上举-1.05 *股四头肌MMT+0.01*髋关节内收ROM+0.19 *骨盆上推- 2.24 z2=-0.73 *性别+0.21 *膝上举+0.74*股四头肌MMT-0.08*髋关节内收ROM+0.63*骨盆上推-5.16组重心肩先型z1: 0.53, z2: -0.524，骨盆先型z1: -1.828, z2: -0.132，骨盆先型z1: 0.288, z2: 0.558，其他组预测成功率均为60%。(3)评估工具公式在计算机上实现，作为评估工具。根据试验的评价对其进行了修正，以提高其准确性。

1. Purpose The purpose of this study was to develop an assessment tool to predict the rolling patterns among the elderly patients, based on a formula that considers their associated physical characteristics.2. Method Subjects : 36 elderly individuals over 65 years old. Procedure : The rolling patterns (criterion variable) were classified in groups, according to their associated physical characteristics (explanatory variable). The predictive formulas were developed according to the variables, and then implemented as a computerized assessment tool. The evaluation of this tool was later conducted by 5 nurses working with elderly patients.3. Results(1)Rolling patterns Each roll was completed by a series of actions which presented a specific pattern to assist motion ; for the patients observed, 3 different rolling patters were detected Shoulders-first type : The shoulders rotate before the pelvis. The trunk rotates from the upper body. Pelvis-first type : The pelvis rotates before the shoulders. The trunk rotates from the lower body. Pelvis-first type : By raising the knees and pushing against the floor, the pelvis and shoulders rotate at the same time. No twisting of the trunk occurs.(2) Formulas The rolling movements were determined by two formulas. The formula's rate of successful prediction of the rolling movement was 70.9%. (p<0.01) z1=1.03* sex+1.11* knee raise-1.05 *a quadriceps femoris muscle MMT+0.01* hip joint adduction ROM+0.19 * pelvis push up- 2.24 z2=-0.73 * sex+0.21 * knee raise+0.74* a quadriceps femoris muscle MMT-0.08* hip joint adduction ROM+0.63*pelvis push up-5.16 The group center of gravity Shoulders-first type z1: 0.53, z2: -0.524, Pelvis-first type z1: -1.828, z2: -0.132, Pelvis-first type z1: 0.288, z2: 0.558 The successful prediction rate was 60% among another group.(3)Assessment tool The formulas were implemented on a computer as the assessment tool. These were modified according trial's evaluation in order to increase their accuracy.