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Background: In medicolegal investigations, determining sex from the bones is critical. There is no doubt that population sizes and proportions differ, and that these variances influence the metric assessment of sex. Researchers from all across the world have done studies to create group particular criteria of evaluation because osteometric procedures for determining sex are population specific. Materials & Methods: The current research a morphometric analysis of 250 humerii of unknown sex was performed to evaluate sexual dimorphism, with 145 male and 105 female bones discovered in the current study. The bones had been gathered from dissected cadavers and were already in the Department. Results and conclusion: The current study clearly shows that males have substantially higher statistical values for all parameters when compared to females. Anatomists and orthopaedic surgeons, as well as medico-legal professionals, benefit from these characteristics. More research and studies are needed, based on the findings of this study, to definitely distinguish sex in the humerus. When a humerus is present, this information is likely to benefit forensic investigators in determining an individual's sex. More research, involving a broader range of populations and larger sample sizes, would undoubtedly contribute to the advancement of the scientific record.
Keywords:
skeletal, Humerus
Cite Article:
"Morphometric Study of Humeral segments for sexual dimorphism in central and south Indian population", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.384 - 387, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208060.pdf
Downloads:
000205385
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator