stature estimation from students’ forearm and hand length in Hamadan University of Medical Sciences, Iran

Abstract

Objective: Anthropology is a science discuss about the human anthropometric features. It is used in many aspects such as archeology, rehabilitation, and legal medicine. The purpose of this study was to determine the stature from student’s forearm and hand length in Hamadan University of Medical Sciences.
 Methods: For measurements, the forearm and hand length of 160 students were measured. The range of the sample ages were between 18-22 years, selected randomly. In this descriptive and analytical study, the cluster sampling method was used to select the subjects. For anthropometric measurements, we used metal and plastic tape, goniometer, caliper, and scale. The height and length of the forearm and hand were measured separately.
 Results: The mean ± SD of the stature were 164.435±5.072 cm and 180.446±5.569 cm, in females and males respectively. The mean ± SD of the forearm length were 24.906±1.347 cm and 27.751±1.294 cm, in females and males respectively. The mean ± SD of hand length were 17.356±2.223 cm and 19.418±0.888 cm, in females and males respectively. Besides, there was a correlation between height and forearm length of all cases. Also, this correlation was seen for the stature and hand length.
 Conclusion: According to our study, forearm and hand length have correlation with the stature, so they can be used as factors for stature estimation.

Correlation between Sphenoclivus angle and Gnathic angle with age and gender in Iranian population using CT-Scan

“…Anthropology is a science that makes it possible to quantify the dimensions of the human body in different societies. [1][2][3] Cephalometry as an important branch of anthropology being employed to calculate the dimensions of the head and face used in archeology, surgery, forensic medicine, medical engineering, and industry. [4][5][6] In the clinical set, anthropometric studies of the craniofacial diameters can help in the diagnosis and predicting disorders.…”