A Study of Stature Estimation from Facial Anthropometric Parameters by Regression Analysis in Central Indian Population
Creators
- 1. MBBS student, Sri Aurobindo Medical College and PG Institute, Sri Aurobindo University, Indore
- 2. Associate Professor, Sri Aurobindo Medical College and PG Institute, Sri Aurobindo University, Indore
- 3. Assistant Professor, Sri Aurobindo Medical College and PG Institute, Sri Aurobindo University, Indore
- 4. Professor & HOD, Sri Aurobindo Medical College and PG Institute, Sri Aurobindo University, Indore
- 5. Tutor, Sri Aurobindo Medical College and PG Institute, Sri Aurobindo University, Indore
Description
Introduction: Forensic identification of human remains is important for both legal and humanitarian reasons. In forensic science sex, age, race and stature plays key role in human identification. Stature can be best estimated using long bones such as femur and tibia. Sex and race of and individual can be identified by pelvis and skull. Estimation of stature in case of destroyed, fragmented and mutilated limbs become difficult. Keeping this in mind the present study has been conducted to find out the correlation between facial anthropometric parameters and stature in Central Indian population. Materials & Methods: The study was conducted in the department of Anatomy at Sri Aurobindo Medical college & P. G. Institute, Indore, Madhya Pradesh. Present study was carried out from August 2022 to December 2022. A total of 500 (250 male & 250 female) students in the age group of 18 to 25 years were taken with equal distribution of both genders. 250 students from each sex were taken from MBBS, BDS, BPT, Nursing courses. Height was measured by using stadiometer, facial length & width were measured by using Vernier calipers. Karl Pearson’s correlation coefficient was used for correlation between facial parameters and stature followed by regression equation was derived. SPSS version 26 was used for statistical analysis. Results: The correlation coefficient between stature and facial length was 0.560 with p value 0.001 and between stature and facial width it was 0.449 with p value 0.001. Conclusion: Both facial length and facial width have positive correlation with stature, i.e. if anyone of the parameters increases or decreases accordingly the stature increase or decreases. The regression formula derived from this study to estimate stature from facial length and width in central Indian population is, Stature (in cms) = (6.184 X Facial length + 4.252 X Facial width) + 46.550.
Abstract (English)
Introduction: Forensic identification of human remains is important for both legal and humanitarian reasons. In forensic science sex, age, race and stature plays key role in human identification. Stature can be best estimated using long bones such as femur and tibia. Sex and race of and individual can be identified by pelvis and skull. Estimation of stature in case of destroyed, fragmented and mutilated limbs become difficult. Keeping this in mind the present study has been conducted to find out the correlation between facial anthropometric parameters and stature in Central Indian population. Materials & Methods: The study was conducted in the department of Anatomy at Sri Aurobindo Medical college & P. G. Institute, Indore, Madhya Pradesh. Present study was carried out from August 2022 to December 2022. A total of 500 (250 male & 250 female) students in the age group of 18 to 25 years were taken with equal distribution of both genders. 250 students from each sex were taken from MBBS, BDS, BPT, Nursing courses. Height was measured by using stadiometer, facial length & width were measured by using Vernier calipers. Karl Pearson’s correlation coefficient was used for correlation between facial parameters and stature followed by regression equation was derived. SPSS version 26 was used for statistical analysis. Results: The correlation coefficient between stature and facial length was 0.560 with p value 0.001 and between stature and facial width it was 0.449 with p value 0.001. Conclusion: Both facial length and facial width have positive correlation with stature, i.e. if anyone of the parameters increases or decreases accordingly the stature increase or decreases. The regression formula derived from this study to estimate stature from facial length and width in central Indian population is, Stature (in cms) = (6.184 X Facial length + 4.252 X Facial width) + 46.550.
Files
IJPCR,Vol15,Issue5,Article289.pdf
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Additional details
Dates
- Accepted
-
2023-05-05
Software
- Repository URL
- https://impactfactor.org/PDF/IJPCR/15/IJPCR,Vol15,Issue5,Article289.pdf
- Development Status
- Active
References
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