Your browser doesn't support javascript.
loading
Metric Analysis Of Sexual Dimorphism In North Indian Pelvic Indices
Article | IMSEAR | ID: sea-198559
ABSTRACT

Background:

Skeleton is an excellent investigating material in living and non-living population for genetic,anthropological and forensic purposes. Anatomical knowledge of human osteology, in the evaluation of deathmay help to shed light on legal issues such as sex and age determination, parentage and racial identity. Withracial differences, it’s difficult to implement a uniform method for determining sex. Therefore, the need forpresent study was felt. Many bones of skeleton present size related sexual differences, those of the pelvis usuallydisplayed differences in morphology independent of size as the sex hormones influence the reproductive functions.In the present study an attempt has been made to arrive at appropriate metric data, regarding sex determinationof North Indian pelves using indices calculated upon dry hip bones, sacrum & pelvis as a whole.Materials and

Methods:

The study was conducted on 50 adult pelvis (M F= 4010) obtained from GovernmentMedical College, Amritsar. Measurements related to Pelvic Brim Index, Coxal Index, Index I & Index II of GreaterSciatic Notch, Ischiopubic Index, Sacral index, Longitudinal Curvature index & Corporobasal index were taken bystandardized methods, indices were calculated & results were statistically analyzed.

Results:

Amongst the various indices calculated in present study Coxal Index, Index I & Index II of Greater SciaticNotch, Ischiopubic Index & Sacral index were found to be significantly sexually dimorphic.

Conclusions:

Since skeletal characteristics vary among populations; therefore the present study provides adatabase for various significant pelvis related indices amongst North Indian population to optimize the accuracyof sex identification

Full text: Available Index: IMSEAR (South-East Asia) Type of study: Prognostic study Year: 2019 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: IMSEAR (South-East Asia) Type of study: Prognostic study Year: 2019 Type: Article