Estimation of height from the length of the sternum in an adult Indian population
| Autor: | Rajesh Bardale, Soniya B. Parchake, Pradeep Gangadhar Dixit, Nilesh Keshav Tumram |
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| Rok vydání: | 2015 |
| Předmět: |
Adult
Male Sternum Correlation coefficient India Dentistry 01 natural sciences 03 medical and health sciences 0302 clinical medicine Statistics Linear regression Humans 030216 legal & forensic medicine Mathematics business.industry Health Policy 010401 analytical chemistry Reproducibility of Results Forensic anthropology Regression analysis Organ Size Body Height Confidence interval Regression 0104 chemical sciences Issues ethics and legal aspects Standard error Linear Models Forensic Anthropology business Law |
| Zdroj: | Medicine, Science and the Law. 56:46-52 |
| ISSN: | 2042-1818 0025-8024 |
| DOI: | 10.1177/0025802415595057 |
| Popis: | Stature estimation is one of the essential early steps during forensic investigation of human skeletal remains. The aim of the present study was to obtain a linear regression formula for estimating stature from sternal length of a central Indian population. The study includes 92 male cadavers brought for medico-legal autopsies. The linear regression equations were derived from manubrium, mesosternum and the total sternal length. The regression model provided a 95% confidence interval of ±14.8 cm and a correlation coefficient of 0.55. Compared with other studies, regression formulae based on the length of the sternum provided considerably larger standard errors than that based on long bone lengths. The study indicates that sternal length in relation with body stature shows a moderate positive correlation and relatively low reliability in estimating stature, and has limited forensic value. |
| Databáze: | OpenAIRE |
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