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Craniofacial morphologic and anthropometric features of Croatian schizophrenia patients and non-psychiatric controls - a pilot study

机译:克罗地亚精神分裂症患者和非精神病患者的颅面形态学和人体测量学特征-一项初步研究

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Summary: Aim: to evaluate differences in craniofacial morphologic features and several anthropometric measures between schizophrenia patients and non-psychiatric controls, and to find the best-fit model to differentiate between two groups. Methods: 40 morphologic features of the head and face, and 5 craniofacial anthropometric measures were evaluated using the Lane Dysmorpho- logy Scale in 58 patients and 46 controls. Total MPA score and subscores for different craniofacial regions were calculated. Individual items were examined using logistic regression analyses to define a model that can discriminate between patient vs. control status. Results: total MPA score, and several subscores (general asymmetry, nasal, lip, ear and tongue) were significantly higher in the patient group. Patients were distinguished by significantly higher measures of maxillary and mandibular facial arcs, general and subtle facial asymmetries presented as deviation of facial landmarks from the vertical facial midline and horizontals, more variable vermilion of the upper lip, tongue surface, frenulum and anterior hair margin, and more adherent and underdeveloped earlobes. A final regression model including maxillary arc, facial asymmetry, and adherent earlobes as independent predictors proved useful to efficiently recognize schizophrenia patients (specificity and positive prediction value of 100 % when all the three items were present in an individual) or to exclude risk for schizophrenia (sensitivity and negative prediction value of 96.6 % and 84.6 %, respectively, in cases no one of the three items was present). Conclusions: schizophrenia patients evidenced significantly more craniofacial dysmorphology than controls. The model revealed in the study needs to be verified in larger samples and other populations.
机译:摘要:目的:评估精神分裂症患者和非精神病患者在颅面部形态特征和几种人体测量学方面的差异,并找到最合适的模型来区分两组。方法:使用车道变形量表对58例患者和46例对照进行了40例头部和面部形态学特征测量,以及5例颅面人体测量。计算了不同颅面区域的MPA总分和总分。使用逻辑回归分析检查了单个项目,以定义可以区分患者和对照状态的模型。结果:患者组的MPA总分和几个子分数(一般不对称性,鼻,唇,耳和舌头)明显更高。患者的特征是上颌和下颌面部弧度明显更高,面部标志的总体和细微的不对称表现为面部标志相对于面部垂直中线和水平线的偏离,上唇,舌头表面,fr带和前发边缘的朱红色变化更大,以及更多的附着性和不发达的耳垂。最终的回归模型包括上颌弧,面部不对称和贴壁的耳垂作为独立的预测因子,被证明对有效识别精神分裂症患者(个体中所有三个项目均存在时特异性和阳性预测值为100%)或排除精神分裂症的风险非常有用。 (如果不存在这三个项目之一,则灵敏度和阴性预测值分别为96.6%和84.6%)。结论:精神分裂症患者的颅面畸形比对照组明显多。研究中揭示的模型需要在较大样本和其他人群中进行验证。

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