Showing posts with label Anthropometry. Show all posts
Showing posts with label Anthropometry. Show all posts

Thursday, 3 April 2025

An Anthropometric Study of Facial and Nasal Indices in Western Maharashtrian Males | Chapter 7 | Achievements and Challenges of Medicine and Medical Science Vol. 1

Introduction: Facial index in general and nasal index in particular are useful in forensic investigations. The facial index and nasal index provide important information about race and ethnicity. Facial anthropometry has proved its great importance in the field of facial reconstructive surgery as well as in the field of forensic science. Specific face types and nose types provide us with important information about specific types of races.

Aim: The aim of the study is to analyse the morphometric variation in facial index and nasal index as well as different types of faces and types of noses in Western Maharashtrian males.

Materials and Methods: An observational study was carried out in the five cities- Sangli, Kolhapur, Islampur, Karad and Satara of Western Maharashtra, India. A total of 535 male students of different colleges between the age group of 18-20 years were selected and measurements were taken with the help of a digital Vernier caliper in the sitting position after due approval from Institutional Ethical Committees and informed consent. A Calibrated Standard Vernier Caliper (30-centimetre length with accuracy of 0.01 mm) was used to take facial measurements. The methodology adopted for the measurements was taken from the guidelines given by Farkas L. G. in his book-“Anthropometric Facial Proportions in Medicine”. All the collected data were subjected to appropriate statistical analysis (mean, standard deviation). It was analysed by using descriptive statistics. The software used was R statistical software with a 3.5 version.

Results: The mean facial index of Western Maharashtrian males was 89.51 with a standard deviation of 4.26 and the dominant face type was Leptoprosopic which was 46.73% and the rare type of face was Hypereuriprosopic which was 0.19%. The mean nasal index of Western Maharashtrian males was 72.84 with a standard deviation of 6.86 and the dominant nose type was mesorrhine which was 63.74%.

Conclusion: Certain facial and nasal features are common in particular racial groups. Its detection can be helpful in reconstructive facial surgeries. Extensive study is required in this field to establish all the parameters of the face.

 

Author (s) Details

 Laxmi Prashant Nivale
Department of Anatomy, D.Y. Patil Medical College, Kolhapur, India.

 

Vasudha R. Nikam
Department of Anatomy, D.Y. Patil Medical College, Kolhapur, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/acmms/v1/2851

Thursday, 7 July 2022

Cross-sectional Study of Waist Circumference in School Children | Chapter 10 | Current Practice in Medical Science Vol. 4

Our objective was to use a cross-sectional survey to analyse and collect anthropometric measurements of body waist circumference in school-aged adolescent boys and girls aged 9 to 12 from diverse socioeconomic groups. Increased waist circumference is linked to metabolic syndromes and diabetes in school-age boys and girls. Waist circumference is an essential metric that may be used to classify some school-aged children, especially given its link to anaemia. We discovered that the higher income group's (HIG) waist circumference was considerably greater than the lower income group's (LIG) in all age groups (LIG). In HIG, women's waist circumferences were bigger than men's in the same age groups. The assessment might be used to illustrate how social and economic changes in a community may have an impact on the growth patterns of boys and girls between the ages of 9 and 12. In addition to giving an additional measure of undernutrition in large population samples, this evaluation approach may be useful in the field for determining the prevalence of malnutrition, which includes obesity. This study is very socioeconomically significant and also provides straightforward indicators of metabolic health disorder.


Author(s) Details:

Kharat Vidya,
Department of Anatomy, Bharati Vidyapeeth (Deemed to be University) Medical College, Pune, Maharashtra, India.

Puranik Medha,
Department of Anatomy, Bharati Vidyapeeth (Deemed to be University) Medical College, Pune, Maharashtra, India.

Please see the link here: https://stm.bookpi.org/CPMS-V4/article/view/7365

Sunday, 13 June 2021

A Detailed Studies of Anthropometric Indicators and Their Relationship with Metabolic Variables | Chapter 2 | Highlights on Medicine and Medical Research Vol. 12

 The goal of this study is to see if the percentage of body fat, the body mass index (BMI), and the waist-hip ratio (WHR) have a relationship with the metabolic variables of heart rate, blood pressure (systolic and diastolic), and the double product in the anthropometrical indicators used in this chapter. In a population of 69 participants with an average age of 41.7 6.6 years, the Bruce Protocol was revised to evaluate metabolic variables, and the Petroski formula was used to compute the percentage of fat. The data was statistically treated using the “Statistical 5.0” programme. The correlation is calculated by using a statistical significance test (p 0.05) to calculate the simple coefficient of Pearson "r." According to the data, heart rate was significantly connected with strength of power, as well as fat percentage and BMI. Blood pressure and BMI revealed a high correlation, especially among women. The WHR was the anthropometrical measure that had significant relationships with blood pressure in the male group, as it reveals a linkage between the pattern of male body fat distribution (android) and blood pressure. The BMI had a high relationship with the double-product, which we infer is due to the fact that this anthropometric measure is linked to body mass. Because the BMI is the sole metric employed here that incorporates lean mass in its calculations, it accurately reflects the myocardium's function. Only body fat percentage was found to be inversely related to treadmill duration; in other words, the higher the percentage, the less time spent on the treadmill.

Author(s) Details

A. D. P. Bankoff
Physical Education Faculty, Laboratory of Electromyography and Biomechanics of Posture, State University of Campinas (Unicamp), Brazil.

L. C. Zago
Physical Education Faculty, Laboratory of Electromyography and Biomechanics of Posture, State University of Campinas (Unicamp), Brazil.

View Book :- https://stm.bookpi.org/HMMR-V12/article/view/1364