Determination of sex by morphological assessment has been one of the oldest approaches in forensic anthropology. Loth and Henneberg(6) introduced a morphological trait "Mandibular Ramus Flexure" for sex identification with a high accuracy of 99% in African Blacks. However, the population specificity of sexually dimorphic features is well known. The purpose of this study is to test the reliability of this trait in Indian population. A total number of 112 adult mandibles (88 males and 24 females) were studied from the Department of Forensic Medicine, Institute of Medical Sciences, Banaras Hindu University, India. The mandibles were scored according to the original method by two observers in three different sessions. This was done to test inter and intra-observer errors in identifying the trait. The result shows that this trait can be used to diagnose sex with an average accuracy of upto 82%. Though, inter and intra-observer errors were present but could be minimized with extended practice. So, the trait has the potential to be relied upon as a single morphological trait for determination of sex in Indian population.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jflm.2011.02.014 | DOI Listing |
Indian J Nucl Med
November 2024
Department of General Surgery, King George's Medical University, Lucknow, Uttar Pradesh, India.
Background: Distribution and quantification of extra-pulmonary tuberculosis and elicitation of response antitubercular therapy via F18-Fluorodeoxyglucose Positron Emission-based Tomography/ Computed Tomography(F18-FDG PET/CT).
Materials And Methods: This was a prospective Pilot study. In this study 30 patients of age between 15 to 36 years(mean 26.
J Family Med Prim Care
December 2024
World Health Partners, Ahmedabad, Gujarat, India.
Context: The coexistence of tuberculosis (TB) and mental disorder presents a daunting public health challenge. Studies suggest that TB patients often experience co-morbid mental health problems, highlighting a dual burden of illness. However, due to limited research in Gujarat, we cannot draw definitive conclusions or develop targeted mental health interventions for this population.
View Article and Find Full Text PDFJ Family Med Prim Care
December 2024
Indian Council of Medical Research, Ansari Nagar, New Delhi, India.
Background: Cause-of-death (CoD) information is crucial for health policy formulation, planning, and program implementation. Verbal Autopsy (VA) is an approach employed for the collection and analysis of CoD estimates at the population level where medical certification of cause of death is low and, secondly, for integrating it with the existing public health system by utilizing the grassroots level workforce.
Objective: The study aims to understand the field perspectives on implementing the 2022 WHO VA instrument in rural India through the existing public health system.
J Family Med Prim Care
December 2024
Department of Medical Parasitology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Introduction: With increased urbanization the prevalence of important public health problems like road traffic accidents (RTA) and depression are surging. This study was aimed to determine the association between RTA and depression among Indian population aged ≥45 years.
Methods: Using Longitudinal Aging Study in India (LASI) dataset (April 2017-December 2018), we have conducted this study among older adults (45-59 years) and elderly (≥60 years) Indians.
J Family Med Prim Care
December 2024
Department of Orthopedics, B.J Medical College, Ahmedabad, Gujarat, India.
Background: Cardiovascular diseases (CVDs) are one of the most prevalent causes of mortality worldwide, especially significant in low- and middle-income countries. Kyrgyzstan and India represent such nations that face a huge burden of CVD-related deaths globally. Understanding the prevalence of traditional cardiovascular risk factors (CVRFs) in these populations is critical for effective prevention and management strategies.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!