| CTRI Number |
CTRI/2025/03/081833 [Registered on: 06/03/2025] Trial Registered Prospectively |
| Last Modified On: |
05/03/2025 |
| Post Graduate Thesis |
Yes |
| Type of Trial |
Observational |
|
Type of Study
|
Cross Sectional Study |
| Study Design |
Other |
|
Public Title of Study
|
"Estimating Height and Sex Using Body Measurements in the South Indian Population" |
|
Scientific Title of Study
|
Stature and Sex Estimation from Shoulder Breadth, Shoulder Height, Popliteal Height, Hip Breadth, and Knee Height Measurements in the South Indian Population. |
| Trial Acronym |
NIL |
|
Secondary IDs if Any
|
| Secondary ID |
Identifier |
| NIL |
NIL |
|
|
Details of Principal Investigator or overall Trial Coordinator (multi-center study)
|
| Name |
Yamika M M |
| Designation |
Msc Forensic Science Student |
| Affiliation |
Kasturba Medical College, MAHE |
| Address |
Department of Forensic Medicine And Toxicology, Kasturba Medical College, Manipal.
Udupi
KARNATAKA
576104
India |
| Phone |
6381580376 |
| Fax |
|
| Email |
yamika.kmcmpl2023@learner.manipal.edu |
|
Details of Contact Person
Scientific Query
|
| Name |
Dr Shankar M Bakkannavar |
| Designation |
Associate Professor |
| Affiliation |
Kasturba Medical College, MAHE |
| Address |
Department of Forensic Medicine And Toxicology, Kasturba Medical College, Manipal.
Udupi
KARNATAKA
576104
India |
| Phone |
9110240992 |
| Fax |
|
| Email |
shankar.mb@manipal.edu |
|
Details of Contact Person
Public Query
|
| Name |
Dr Shankar M Bakkannavar |
| Designation |
Associate Professor |
| Affiliation |
Kasturba Medical College, MAHE |
| Address |
Department of Forensic Medicine And Toxicology, Kasturba Medical College, Manipal.
Udupi
KARNATAKA
576104
India |
| Phone |
9110240992 |
| Fax |
|
| Email |
shankar.mb@manipal.edu |
|
|
Source of Monetary or Material Support
|
| Kasturba Medical College, Eshwar Nagar, Madhav Nagar, Manipal,Karnataka -576104, India |
|
|
Primary Sponsor
|
| Name |
Yamika M M |
| Address |
Department Of Forensic Medicine and Toxicology, Kasturba Medical College, Manipal, Karnataka 576104 |
| Type of Sponsor |
Private medical college |
|
|
Details of Secondary Sponsor
|
| Name |
Address |
| Kasturba Medical College |
Tiger Circle Road, Madhav Nagar, Eshwar Nagar, Manipal - 576104 |
|
|
Countries of Recruitment
|
India |
|
Sites of Study
|
| No of Sites = 1 |
| Name of Principal
Investigator |
Name of Site |
Site Address |
Phone/Fax/Email |
| Dr Shankar M Bakkannavar |
Kasturba Medical College, MAHE |
Department Of Forensic Medicine and Toxicology, Kasturba Medical College,Tiger Circle, Madhav Nagar , Manipal - 576104
Udupi
KARNATAKA |
9110240992
shankar.mb@manipal.edu |
|
|
Details of Ethics Committee
|
| No of Ethics Committees= 1 |
| Name of Committee |
Approval Status |
| Kasturba Medical College and Kasturba Hospital Institutional Ethics Committee - 2 |
Approved |
|
|
Regulatory Clearance Status from DCGI
|
|
|
Health Condition / Problems Studied
|
| Health Type |
Condition |
| Healthy Human Volunteers |
Participants with no deformities in leg , hip and shoudler |
|
|
Intervention / Comparator Agent
|
| Type |
Name |
Details |
| Intervention |
NIL |
NIL |
| Comparator Agent |
NIL |
NIL |
|
|
Inclusion Criteria
|
| Age From |
21.00 Year(s) |
| Age To |
30.00 Year(s) |
| Gender |
Both |
| Details |
1. Participants between the ages of 21-30 years ( to avoid the effect of stature reduction due to age) in both males and females.
2. Participants with No Physical Disability
3. Participants are recruited from MAHE institute students and workers of the South Indian Population.
|
|
| ExclusionCriteria |
| Details |
1. Participants below 21 and above 30 years old are excluded
2. Participants who had/have fractures in leg/hip
bone/shoulder are excluded. |
|
|
Method of Generating Random Sequence
|
Not Applicable |
|
Method of Concealment
|
Not Applicable |
|
Blinding/Masking
|
Not Applicable |
|
Primary Outcome
|
| Outcome |
TimePoints |
Primary outcome is to determine the possible correlation between stature, sex using shoulder
breadth, shoulder height, popliteal height, Hip breadth, and knee height measurements in the south
Indian population. |
May 2024 - April 2025 ( 12 months ) |
|
|
Secondary Outcome
|
| Outcome |
TimePoints |
| Determination of Stature and Sex is important in forensics to identify the individual |
May 2024 - April 2025 ( 12 months ) |
| Estimating stature and sex using anthropometry measurements in forensic science is essential for identifying unknown remains, building a biological profile, and aiding criminal investigations. It helps narrow down possible identities, exclude unlikely matches, and analyze trauma patterns, which is especially useful in cases of fragmented remains or mass disasters. |
May 2024 - April 2025 ( 12 months ) |
|
|
Target Sample Size
|
Total Sample Size="385"
Sample Size from India="385"
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" |
|
Phase of Trial
|
N/A |
|
Date of First Enrollment (India)
|
16/03/2025 |
| Date of Study Completion (India) |
Applicable only for Completed/Terminated trials |
| Date of First Enrollment (Global) |
Date Missing |
| Date of Study Completion (Global) |
Applicable only for Completed/Terminated trials |
|
Estimated Duration of Trial
|
Years="0"
Months="2"
Days="0" |
|
Recruitment Status of Trial (Global)
|
Not Applicable |
| Recruitment Status of Trial (India) |
Not Yet Recruiting |
|
Publication Details
|
N/A |
|
Individual Participant Data (IPD) Sharing Statement
|
Will individual participant data (IPD) be shared publicly (including data dictionaries)?
Response - NO
|
|
Brief Summary
|
This study, conducted on 385 participants aged 21 to 30 years from the MAHE institute in the South Indian population, analysed the relationship between body measurements, stature, and sex using SPSS. Measurements such as shoulder height, shoulder breadth, hip breadth, popliteal height, and knee height were used. Data normality was assessed with the Shapiro-Wilk test, and comparisons based on sex were performed using independent t-tests for parametric data and the Mann-Whitney U test for non-parametric data. Bilateral asymmetry between the right and left sides was evaluated using paired t-tests and the Wilcoxon signed-rank test. Stature estimation equations were developed using simple and multiple linear regression, while logistic regression was applied to predict sex based on body measurements. The findings provide a reliable framework for estimating stature and identifying sex, which can be crucial in mass disasters to help identify individuals.
|