Department of Orthodontics, Centro Escolar University, Manila, Philippines.
Angle Orthod. 2009 Nov;79(6):1162-8. doi: 10.2319/091408-478R.1.
To construct a harmony box based on correlated cephalometric variables, which may serve as a valuable diagnostic tool in orthodontic treatment planning, by analyzing the harmonious relationships of existing individual craniofacial patterns among Filipinos.
Eighty-one subjects, 37 females and 44 males, were selected from the student population of a University according to established inclusion criteria. Five cephalometric angular measurements were obtained and digitized. Pearson correlation coefficients described the high association among the five variables. The bivariate linear regression analysis was used to construct a harmony box, which contained the cephalometric floating norms of the five correlated variables. Multiple regression analysis and the standard error of the estimate were calculated to construct the harmony schema, which describes the individual craniofacial pattern.
Correlations between the five variables were significant at .001 and .05 levels. Linear regression equations with corresponding r(2) and standard error of the estimate (SE) were illustrated as the harmony box. The multiple correlation coefficient R, the adjusted R(2), and the SE when one of the five measured variables was predicted from the remaining four by means of a multiple regression analysis were displayed as the harmony schema.
The cephalometric floating norms describing the individual craniofacial pattern among Filipinos were established based on five correlated variables in the form of a harmony box.
通过分析菲律宾人群现有个体颅面模式之间的和谐关系,构建基于相关头影测量变量的和谐盒,以期为正畸治疗计划提供有价值的诊断工具。
根据既定纳入标准,从一所大学的学生群体中选择了 81 名受试者,其中 37 名女性,44 名男性。获得并数字化了 5 项头影测量角测量值。Pearson 相关系数描述了这 5 个变量之间的高度相关性。使用双变量线性回归分析构建了一个包含 5 个相关变量的头影浮动正态的和谐盒。计算了多元回归分析和估计的标准误差,以构建描述个体颅面模式的和谐图。
五个变量之间的相关性在.001 和.05 水平上均具有统计学意义。以和谐盒的形式展示了相应 r(2)和估计标准误差(SE)的线性回归方程。多元相关系数 R、调整后的 R(2),以及通过多元回归分析从剩余四个变量中预测一个测量变量时的 SE,均以和谐图的形式呈现。
以和谐盒的形式建立了描述菲律宾人群个体颅面模式的头影浮动正态,该正态基于 5 个相关变量。