Department of Upper Extremity and Hand Surgery, Schulthess Klinik, Lengghalde 2, Zurich, Switzerland.
BMC Musculoskelet Disord. 2010 May 19;11:94. doi: 10.1186/1471-2474-11-94.
Hand strength is an important independent surrogate parameter to assess outcome and risk of morbidity and mortality. This study aimed to determine the predictive power of cofactors and to predict population-based normative grip and pinch strength.
A representative population survey was used as the basis for prediction analyses (n = 978). Bivariate relationships between grip/pinch strengths of the dominate hand were explored by means of all relevant mathematical functions to maximize prediction. The resulting best functions were combined into a multivariate regression.
Polynoms (up to the third degree) were the best predictive functions. On the bivariate level, height was best correlated to grip (46.2% explained variance) and pinch strength (37.7% explained variance) in a linear relationship, followed by sex, age, weight, and occupational demand on the hand. Multivariate regression provided predicted values close to the empirical ones explaining 76.6% of the variance for grip strength and 67.7% for pinch strength.
The five easy-to-measure cofactors sex, age, body height, categorized occupational demand on the hand, and body weight provide a highly accurate prediction of normative grip and pinch strength.
手部力量是评估发病率和死亡率以及预后的一个重要独立替代参数。本研究旨在确定协变量的预测能力，并预测基于人群的握力和捏力正常值。
以具有代表性的人群调查为预测分析的基础（n = 978）。通过所有相关的数学函数来探索优势手的握力/捏力之间的双变量关系，以最大限度地提高预测能力。将得出的最佳函数组合成多元回归。
多项式（最高可达三阶）是最佳预测函数。在双变量水平上，身高与握力（解释方差 46.2%）和捏力（解释方差 37.7%）呈线性关系，相关性最好，其次是性别、年龄、体重和手部职业需求。多元回归提供的预测值与实际值接近，解释了握力的 76.6%和捏力的 67.7%的方差。
五个易于测量的协变量（性别、年龄、身高、手部职业需求分类和体重）可高度准确地预测握力和捏力的正常值。
