Ramires Rossana Ribeiro, Ferreira Léslie Piccolotto, Marchesan Irene Queiroz, Cattoni Débora Martins, Silva Marta Assumpção de Andrada E
Pontifícia Universidade Católica de São Paulo, São Paulo, SP, Brasil.
J Soc Bras Fonoaudiol. 2011 Sep;23(3):195-200. doi: 10.1590/s2179-64912011000300003.
To describe orofacial indexes and proportions in adults, according to facial type and gender, and to verify the possibility to establish a way of classifying face based on anthropometry.
Participants were 105 leukoderm adults, 34 male (32.4%) and 71 female (67.6%), with ages between 20 and 40 years old, patients in a private orthodontic clinic in Belo Horizonte, Minas Gerais, Brazil. The findings from the cephalometric analysis contained in their orthodontic records were used for determination of facial type. Subjects were divided according to gender and facial type, and were submitted to anthropometric facial measures obtained directly through a caliper rule. These measures were compared to six variables: facial index, lower face index, upper face index, chin-face height proportion, chin height proportion, and mandibular height proportion.
The average values obtained by the subjects divided into genders and facial types that presented significant differences were: facial index, lower face index, upper face index, and mandibular height proportion for males, and mandibular height proportion, for females. To predict facial types, the following parameters were considered significant: facial index, upper face index and mandibular height proportion for the dolichofacial type, for males; and mandibular height proportion for the dolichofacial and lower face index for the brachyfacial type, for females.
Some indexes and orofacial proportions present variations according to facial types and genders. In general, the anthropometric variables in this study are not good predictors to determine facial types.
根据面部类型和性别描述成年人的口面部指数及比例，并验证基于人体测量学建立面部分类方法的可能性。
研究对象为105名患有白斑病的成年人，年龄在20至40岁之间，其中男性34名（32.4%），女性71名（67.6%），均为巴西米纳斯吉拉斯州贝洛奥里藏特市一家私立正畸诊所的患者。利用他们正畸记录中的头影测量分析结果来确定面部类型。受试者按性别和面部类型进行划分，并通过游标卡尺直接对面部进行人体测量。将这些测量结果与六个变量进行比较：面部指数、下面部指数、上面部指数、颏面高比例、颏高比例和下颌高比例。
按性别和面部类型划分的受试者所获得的平均值存在显著差异，具体如下：男性的面部指数、下面部指数、上面部指数和下颌高比例，以及女性的下颌高比例。为预测面部类型，以下参数被认为具有显著性：男性长面型的面部指数、上面部指数和下颌高比例；女性长面型的下颌高比例和短面型的下面部指数。
一些指数和口面部比例会因面部类型和性别而有所变化。总体而言，本研究中的人体测量变量并非确定面部类型的良好预测指标。
