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

1.目的本研究的目的是开发一种评估工具，以预测老年患者之间的滚动模式，基于考虑他们相关的身体特征的公式。方法研究对象：65岁以上老年人36例。程序：根据相关的物理特征(解释变量)对轧制模式(标准变量)进行分组。根据变量建立预测公式，并将其作为计算机化评估工具实施。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)滚动模式每个滚动由一系列动作完成，这些动作呈现出特定的辅助运动模式；对于观察的患者，发现了3种不同的滚动模式-第一型：肩部在骨盆之前旋转。躯干从上半身开始旋转。骨盆-第一型：骨盆在肩部之前旋转。躯干从下半身开始旋转。骨盆-第一型：抬起膝盖，推向地板，骨盆和肩膀同时旋转。躯干无扭转。(2)公式滚动运动由两个公式确定。该公式对滚转运动的预测成功率为70.9%。(P&lt；Z1=1.03*性别+1.11*膝关节抬高-1.05*股四头肌MMT+0.01*髋关节内收关节活动度+0.19*骨盆上移-2.24Z2=-0.73*性别+0.21*膝关节抬高+0.74*股四头肌MMT-0.08*髋关节内收活动度+0.63%骨盆上抬-5.16组肩部重心-第一型Z1：0.53Z2：-0.524，骨盆第一型Z1：-1.828，Z2：-0.132，骨盆第一型Z1：0.288、Z2：0.558在另一组中的预测成功率为60%。(3)评估工具将公式在计算机上实现。根据试验的评价对其进行了修正，以增加其准确性。

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.