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Stature estimation from body dimensions in Han population of Southern China
- Source :
- Journal of Forensic Science and Medicine, Vol 6, Iss 4, Pp 126-134 (2020)
- Publication Year :
- 2020
- Publisher :
- Wolters Kluwer Medknow Publications, 2020.
-
Abstract
- Stature estimation is widely used for individual identification in forensic field. Previous studies have proposed several regression equations derived from a single population for this purpose. However, this may not be suitable for other populations because of different hereditary and environmental conditions. In this study, stature estimation equations for southern China Han population have been provided. The study was conducted on a sample population of 121 men and women aged 18–25 years. A total of 19 parameters, including stature, head, torso, and parts of upper limbs and lower limbs, were measured according to standard anthropometric procedures. Herein, the anterior superior spine–malleolus medialis line showed the highest correlation coefficient (r = 0.817) and was the most reliable predictor (R2 = 0.667) in men, while the best predictor for women was total leg length (R2 = 0.746) with the highest correlation coefficient (r = 0.863). The regression analysis results via multiple predictors showed a high accuracy in stature estimation. Moreover, the analysis of multiple regression predictors showed that the dimensions of lower limbs were more reliable for stature estimation compared to head, torso, and upper limb measurements. This study provided equations of stature estimation for southern China Han population which can be useful in cases of dismembered body.
- Subjects :
- education.field_of_study
Correlation coefficient
forensic anthropology
body dimensions
lcsh:Public aspects of medicine
Population
Forensic anthropology
Regression analysis
lcsh:RA1-1270
Anthropometry
Biology
Torso
stature estimation
Regression
regression analysis
Pathology and Forensic Medicine
medicine.anatomical_structure
Linear regression
Statistics
medicine
education
southern china han population
Law
Subjects
Details
- Language :
- English
- ISSN :
- 23495014
- Volume :
- 6
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Journal of Forensic Science and Medicine
- Accession number :
- edsair.doi.dedup.....3c7d4e7194ec7e14d01de676c3aaadb6