Lin J X
School of Stomatology, Beijing Medica University.
Zhonghua Kou Qiang Yi Xue Za Zhi. 1991 Mar;26(2):73-6, 126.
A series of 38 measurements was derived from lateral cephalometric radiographs of a large sample of 195 subjects including 130 patients with deep bite malocclusion and 65 control subjects with normal occlusion. These measurements were subjected to a factor analysis which resulted in a series of 8 factors extracted which accounted for 83.3% of the total variance. These factors in rank order of their percentage sample variability were as follows. Factor 1: vertical height; Factor 2: protrusion-retrusion of anterior teeth; Factor 3: protrusion of mid-face; Factor 4: horizontal position of posterior border of the jaws;Factor 5: protrusion of the chin; Factor 6: protrusion of lip; Factor 7: divergence of the face;Factor 8: inclination of upper Lip. The factor scores were further used in a multiple regression analysis in order to predict other cases. The data-reduction method involving a factor analysis would seem to have great significance of clinical application.
对195名受试者的大样本进行头颅侧位X线片测量,共获得38项测量数据,其中包括130例深覆合错颌畸形患者和65例正常咬合对照者。对这些测量数据进行因子分析,提取出一系列8个因子,它们占总方差的83.3%。这些因子按样本变异性百分比的降序排列如下。因子1:垂直高度;因子2:前牙的前突-后缩;因子3:中面部前突;因子4:颌骨后缘的水平位置;因子5:颏部前突;因子6:唇部前突;因子7:面部发散度;因子8:上唇倾斜度。因子得分进一步用于多元回归分析以预测其他病例。涉及因子分析的数据简化方法似乎具有重要的临床应用意义。