Kedia Neal B, Yadav Sumit K, Yadav Achla B, Mishra Deepika, Shahi Prinka, Bansal Nandini
Department of Orthodontics and Dentofacial Orthopedics, Buddha Institute of Dental Sciences and Hospital, Patna, Bihar, India.
Department of Orthodontics and Dentofacial Orthopedics, D J College of Dental Sciences and Research, Modinagar, Uttar Pradesh, India.
Natl J Maxillofac Surg. 2024 Jan-Apr;15(1):82-86. doi: 10.4103/njms.njms_101_22. Epub 2024 Mar 19.
Stature or body height is one of the most important and useful anthropometric parameters which determines the physical identity of an individual. Cranium encompasses hard tissue components with approximately immortal behavior, reason being cranial measurements were selected for the present study for estimation of stature.
This investigation aimed to assess the stature of unknown using cephalometric parameters by creating equations through regression analysis.
We selected 361 dental students for the present research; among them, 210 were females and 151 were males in the age range of 21-32 years. Stature and cephalic parameters, i.e., fronto-occipital circumference, head length, and head breadth were measured for each contributor following standard methods and techniques. Cephalic Index was calculated by using the formula: Cephalic Index (CI) = (Head width/Head length) ×100. Karl Pearson's correlation coefficient of stature with cephalic parameters was calculated, and regression analysis was done to generate the formulae for stature estimation.
Results indicated that all cephalic measurements have strong correlation with stature, and among them, circumference of head was found to be the most reliable predictor.
Stature of unknown or deceased can be identified using cephalic parameters as an auxiliary practice.
身高是最重要且有用的人体测量参数之一,它决定了个体的身体特征。颅骨包含具有近似不朽特性的硬组织成分,正因如此,本研究选择颅骨测量来估算身高。
本研究旨在通过回归分析建立方程,利用头影测量参数评估未知个体的身高。
我们为本研究选取了361名牙科专业学生;其中,210名是女性,151名是男性,年龄在21至32岁之间。按照标准方法和技术,为每位参与者测量身高和头部参数,即额枕周长、头长和头宽。头指数通过以下公式计算:头指数(CI)=(头宽/头长)×100。计算身高与头部参数的卡尔·皮尔逊相关系数,并进行回归分析以生成身高估算公式。
结果表明,所有头部测量值与身高均具有强相关性,其中,头围被发现是最可靠的预测指标。
可将头部参数作为辅助手段来识别未知个体或死者的身高。