Arch Phys Med Rehabil. 1996 Dec;77(12):1251-5. doi: 10.1016/s0003-9993(96)90188-4.
Assessment of muscle strength is vital to the management of patients with muscular weakness. Clinical interpretation of isometric strength data for individual patients has been limited because of the lack of a reference population for comparison. The purpose of this study was to develop regression equations to predict maximal isometric strength based on gender, age, height, and weight. Patients' absolute strength values may then be expressed as a percentage of their predicted values, facilitating the determination of presence and extent of weakness.
Three separate neuromuscular research groups developed databases of normal maximal isometric strength values, using standardized testing procedures. The databases were combined into a single database, and multiple regression equations were formulated for strength prediction for the 20 muscle groups tested.
Seven neuromuscular research units, each within the neurology department of a university-based teaching facility.
A convenience sample of 493 volunteers who had no medical conditions that would have prohibited them from performing a maximal isometric strength test.
Maximal isometric strength (kg) of ten muscle groups was measured bilaterally.
Regression equations and 95% prediction intervals are derived from the combined database. A case study demonstrates the use of the predictive equations in determining presence and extent of weakness.
Predictive strength equations facilitate assessment of muscular weakness.
肌肉力量评估对于肌无力患者的管理至关重要。由于缺乏可供比较的参考人群，个体患者等长肌力数据的临床解读受到限制。本研究的目的是基于性别、年龄、身高和体重建立回归方程，以预测最大等长肌力。然后，患者的绝对力量值可以表示为其预测值的百分比，便于确定肌无力的存在与否及其程度。
三个独立的神经肌肉研究小组使用标准化测试程序建立了正常最大等长肌力值的数据库。这些数据库被合并为一个单一数据库，并针对所测试的20个肌肉群制定了多元回归方程以进行力量预测。
七个神经肌肉研究单位，均位于大学教学机构的神经内科内。
一个由493名志愿者组成的便利样本，这些志愿者没有会妨碍他们进行最大等长肌力测试的疾病。
双侧测量十个肌肉群的最大等长肌力（千克）。
从合并数据库中得出回归方程和95%预测区间。一个案例研究展示了预测方程在确定肌无力的存在与否及其程度方面的应用。
预测性力量方程有助于肌无力评估。
