*Five Years Citation in Google scholar (2016 - 2020) is. 1451*   *    IJPR IS INDEXED IN ELSEVIER EMBASE & EBSCO *       

logo

INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
ISSN
0975-2366
Current Issue
Article In Press
No Data found.
ADOBE READER

(Require Adobe Acrobat Reader to open, If you don't have Adobe Acrobat Reader)

Index Page 1
Click here to Download
IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

Click to download
 

Article Detail

Label
Label
Estimation of stature from cephalometric parameters in young female population

Author: SHRUTHI DEVI.R, KARTHIK GANESH MOHANRAJ
Abstract: Cephalometric parameters are important in determining stature and varies with age, sex, race, etc., and plays an important role in clinical and forensic science as it establishes the biologic profile of an individual. The stature of a person which is a genetically inherited trait is thus considered to be inherently an individual’s characteristic. Thus estimation of stature was essential in many forensic investigation where onle through the available body parts the sex and height aof the individual has to be analysed and determined. The study was carried out in 130 young female subjects of Chennai population with age ranging from 18 to 25 years. The Cephalometric measurements such as cranial length, breadth, bizygomatic and biauricular breadth were measured. The mean total height of the female population was found to be 149.27 ± 3.52 cm. The mean of maximum cephalic length (MCL) was 17.65 ± 0.94 cm. The mean of maximum cephalic breadth (MCB) was 3.49 ± 0.61 cm. The mean of maximum nasal height (MNH) was 4.82 ± 0.27 cm. The mean of maximum nasal breadth (MNB) was 3.46 ± 0.21 cm. The mean of bizygomatic breadth (BB) was 9.24 ± 0.35 cm. The mean of maximum biauricular breadth (MBB) was12.93 ± 0.82 cm. The data obtained was observed statistically and correlated for significance between height and cranial parameters and a regression equation was made. Hence, the study was conducted to document norms for cephalometric parameters and presented gender specific linear regression equations for estimating stature from the female population
Keyword: Anthropometry, stature estimation, cephalometric parameters, biological identification.
DOI: https://doi.org/10.31838/ijpr/2020.12.03.350
Download: Request For Article
 




ONLINE SUBMISSION
USER LOGIN


Username
Password
Login | Register
News & Events
SCImago Journal & Country Rank

Terms and Conditions
Disclaimer
Refund Policy
Instrucations for Subscribers
Privacy Policy

Copyrights Form

0.12
2018CiteScore
 
8th percentile
Powered by  Scopus
Google Scholar

hit counters free