Age Estimation in Sportspersons From the Epiphyseal Fusion Around Wrist, Elbow, and Pelvic Joints
Background Age estimation of an individual is an integral part of medicolegal work. Out of many scenarios for which age estimation is performed, competitive sports is the one emerging field where experts are consulted for providing accurate age of the athlete. Owing to the chances of deliberately in...
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Published in | Curēus (Palo Alto, CA) Vol. 15; no. 1; p. e33282 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Springer Nature B.V
02.01.2023
Cureus |
Subjects | |
Online Access | Get full text |
ISSN | 2168-8184 2168-8184 |
DOI | 10.7759/cureus.33282 |
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Abstract | Background Age estimation of an individual is an integral part of medicolegal work. Out of many scenarios for which age estimation is performed, competitive sports is the one emerging field where experts are consulted for providing accurate age of the athlete. Owing to the chances of deliberately increasing (padding) or decreasing (shaving) the age of the athlete for his own advantage, accurate age estimation is crucial. The Sports Authority of India (SAI) mandates age verification from experts prior to participation in sports events in various age group categories. One of the widely used methods of age estimation in athletes is the radiological examination of the ossification centers of bones. Methodology The study was performed on 134 athletes (72 males and 62 females) with an age range of 12-18 years old with due permission from the Sports Authority of India (SAI) for this study. These participants compete at state, national, and international levels in squash, handball, swimming, cricket, and judo in under-14, under-16, and under-19 age categories. X-rays of the wrists, elbows, and pelvis were analyzed using the Schmeling five-stage method for the fusion of ossification centers. Results A greater degree of correlation between the fusion stages of all regions of interest and chronological age was observed in males than in females. The highest correlation in both sexes is observed between the fusion score of the head of the radius and the age (R = 0.814 for males and R = 0.647 for females). The lowest correlation for both males and females is seen between the fusion score of the lateral epicondyle of the humerus and age (R = 0.754 for males and R = 0.441 for females). Multiple linear regression models showed a standard error of estimate (SEE) of 1.093 years for the elbow joint, 1.147 years for the wrist joint, 1.039 years for the pelvis joint, and 1.030 years for all three joints. Conclusion Regression models generated for estimating the age of sportspersons from the ossification centers of the elbow, wrist, and pelvis in the present study can be applied for the age estimation of individuals aged between 12 and 18 years. Future population-specific studies on the age estimation of sportspersons with greater sample sizes are necessary to validate the findings of the present study. |
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AbstractList | Background
Age estimation of an individual is an integral part of medicolegal work. Out of many scenarios for which age estimation is performed, competitive sports is the one emerging field where experts are consulted for providing accurate age of the athlete. Owing to the chances of deliberately increasing (padding) or decreasing (shaving) the age of the athlete for his own advantage, accurate age estimation is crucial. The Sports Authority of India (SAI) mandates age verification from experts prior to participation in sports events in various age group categories. One of the widely used methods of age estimation in athletes is the radiological examination of the ossification centers of bones.
Methodology
The study was performed on 134 athletes (72 males and 62 females) with an age range of 12-18 years old with due permission from the Sports Authority of India (SAI) for this study. These participants compete at state, national, and international levels in squash, handball, swimming, cricket, and judo in under-14, under-16, and under-19 age categories. X-rays of the wrists, elbows, and pelvis were analyzed using the Schmeling five-stage method for the fusion of ossification centers.
Results
A greater degree of correlation between the fusion stages of all regions of interest and chronological age was observed in males than in females. The highest correlation in both sexes is observed between the fusion score of the head of the radius and the age (R = 0.814 for males and R = 0.647 for females). The lowest correlation for both males and females is seen between the fusion score of the lateral epicondyle of the humerus and age (R = 0.754 for males and R = 0.441 for females). Multiple linear regression models showed a standard error of estimate (SEE) of 1.093 years for the elbow joint, 1.147 years for the wrist joint, 1.039 years for the pelvis joint, and 1.030 years for all three joints.
Conclusion
Regression models generated for estimating the age of sportspersons from the ossification centers of the elbow, wrist, and pelvis in the present study can be applied for the age estimation of individuals aged between 12 and 18 years. Future population-specific studies on the age estimation of sportspersons with greater sample sizes are necessary to validate the findings of the present study. BackgroundAge estimation of an individual is an integral part of medicolegal work. Out of many scenarios for which age estimation is performed, competitive sports is the one emerging field where experts are consulted for providing accurate age of the athlete. Owing to the chances of deliberately increasing (padding) or decreasing (shaving) the age of the athlete for his own advantage, accurate age estimation is crucial. The Sports Authority of India (SAI) mandates age verification from experts prior to participation in sports events in various age group categories. One of the widely used methods of age estimation in athletes is the radiological examination of the ossification centers of bones.MethodologyThe study was performed on 134 athletes (72 males and 62 females) with an age range of 12-18 years old with due permission from the Sports Authority of India (SAI) for this study. These participants compete at state, national, and international levels in squash, handball, swimming, cricket, and judo in under-14, under-16, and under-19 age categories. X-rays of the wrists, elbows, and pelvis were analyzed using the Schmeling five-stage method for the fusion of ossification centers.ResultsA greater degree of correlation between the fusion stages of all regions of interest and chronological age was observed in males than in females. The highest correlation in both sexes is observed between the fusion score of the head of the radius and the age (R = 0.814 for males and R = 0.647 for females). The lowest correlation for both males and females is seen between the fusion score of the lateral epicondyle of the humerus and age (R = 0.754 for males and R = 0.441 for females). Multiple linear regression models showed a standard error of estimate (SEE) of 1.093 years for the elbow joint, 1.147 years for the wrist joint, 1.039 years for the pelvis joint, and 1.030 years for all three joints.ConclusionRegression models generated for estimating the age of sportspersons from the ossification centers of the elbow, wrist, and pelvis in the present study can be applied for the age estimation of individuals aged between 12 and 18 years. Future population-specific studies on the age estimation of sportspersons with greater sample sizes are necessary to validate the findings of the present study. Background Age estimation of an individual is an integral part of medicolegal work. Out of many scenarios for which age estimation is performed, competitive sports is the one emerging field where experts are consulted for providing accurate age of the athlete. Owing to the chances of deliberately increasing (padding) or decreasing (shaving) the age of the athlete for his own advantage, accurate age estimation is crucial. The Sports Authority of India (SAI) mandates age verification from experts prior to participation in sports events in various age group categories. One of the widely used methods of age estimation in athletes is the radiological examination of the ossification centers of bones. Methodology The study was performed on 134 athletes (72 males and 62 females) with an age range of 12-18 years old with due permission from the Sports Authority of India (SAI) for this study. These participants compete at state, national, and international levels in squash, handball, swimming, cricket, and judo in under-14, under-16, and under-19 age categories. X-rays of the wrists, elbows, and pelvis were analyzed using the Schmeling five-stage method for the fusion of ossification centers. Results A greater degree of correlation between the fusion stages of all regions of interest and chronological age was observed in males than in females. The highest correlation in both sexes is observed between the fusion score of the head of the radius and the age (R = 0.814 for males and R = 0.647 for females). The lowest correlation for both males and females is seen between the fusion score of the lateral epicondyle of the humerus and age (R = 0.754 for males and R = 0.441 for females). Multiple linear regression models showed a standard error of estimate (SEE) of 1.093 years for the elbow joint, 1.147 years for the wrist joint, 1.039 years for the pelvis joint, and 1.030 years for all three joints. Conclusion Regression models generated for estimating the age of sportspersons from the ossification centers of the elbow, wrist, and pelvis in the present study can be applied for the age estimation of individuals aged between 12 and 18 years. Future population-specific studies on the age estimation of sportspersons with greater sample sizes are necessary to validate the findings of the present study. Background Age estimation of an individual is an integral part of medicolegal work. Out of many scenarios for which age estimation is performed, competitive sports is the one emerging field where experts are consulted for providing accurate age of the athlete. Owing to the chances of deliberately increasing (padding) or decreasing (shaving) the age of the athlete for his own advantage, accurate age estimation is crucial. The Sports Authority of India (SAI) mandates age verification from experts prior to participation in sports events in various age group categories. One of the widely used methods of age estimation in athletes is the radiological examination of the ossification centers of bones. Methodology The study was performed on 134 athletes (72 males and 62 females) with an age range of 12-18 years old with due permission from the Sports Authority of India (SAI) for this study. These participants compete at state, national, and international levels in squash, handball, swimming, cricket, and judo in under-14, under-16, and under-19 age categories. X-rays of the wrists, elbows, and pelvis were analyzed using the Schmeling five-stage method for the fusion of ossification centers. Results A greater degree of correlation between the fusion stages of all regions of interest and chronological age was observed in males than in females. The highest correlation in both sexes is observed between the fusion score of the head of the radius and the age (R = 0.814 for males and R = 0.647 for females). The lowest correlation for both males and females is seen between the fusion score of the lateral epicondyle of the humerus and age (R = 0.754 for males and R = 0.441 for females). Multiple linear regression models showed a standard error of estimate (SEE) of 1.093 years for the elbow joint, 1.147 years for the wrist joint, 1.039 years for the pelvis joint, and 1.030 years for all three joints. Conclusion Regression models generated for estimating the age of sportspersons from the ossification centers of the elbow, wrist, and pelvis in the present study can be applied for the age estimation of individuals aged between 12 and 18 years. Future population-specific studies on the age estimation of sportspersons with greater sample sizes are necessary to validate the findings of the present study.Background Age estimation of an individual is an integral part of medicolegal work. Out of many scenarios for which age estimation is performed, competitive sports is the one emerging field where experts are consulted for providing accurate age of the athlete. Owing to the chances of deliberately increasing (padding) or decreasing (shaving) the age of the athlete for his own advantage, accurate age estimation is crucial. The Sports Authority of India (SAI) mandates age verification from experts prior to participation in sports events in various age group categories. One of the widely used methods of age estimation in athletes is the radiological examination of the ossification centers of bones. Methodology The study was performed on 134 athletes (72 males and 62 females) with an age range of 12-18 years old with due permission from the Sports Authority of India (SAI) for this study. These participants compete at state, national, and international levels in squash, handball, swimming, cricket, and judo in under-14, under-16, and under-19 age categories. X-rays of the wrists, elbows, and pelvis were analyzed using the Schmeling five-stage method for the fusion of ossification centers. Results A greater degree of correlation between the fusion stages of all regions of interest and chronological age was observed in males than in females. The highest correlation in both sexes is observed between the fusion score of the head of the radius and the age (R = 0.814 for males and R = 0.647 for females). The lowest correlation for both males and females is seen between the fusion score of the lateral epicondyle of the humerus and age (R = 0.754 for males and R = 0.441 for females). Multiple linear regression models showed a standard error of estimate (SEE) of 1.093 years for the elbow joint, 1.147 years for the wrist joint, 1.039 years for the pelvis joint, and 1.030 years for all three joints. Conclusion Regression models generated for estimating the age of sportspersons from the ossification centers of the elbow, wrist, and pelvis in the present study can be applied for the age estimation of individuals aged between 12 and 18 years. Future population-specific studies on the age estimation of sportspersons with greater sample sizes are necessary to validate the findings of the present study. |
Author | Jadav, Devendra Shedge, Rutwik Pathak, Harish Hosmani, Abhijit Pawar, Mohan Khartade, Harshwardhan Meshram, Vikas |
AuthorAffiliation | 1 Forensic Medicine and Toxicology, Aundh Chest Hospital, Pune, IND 2 Forensic Medicine and Toxicology, Seth Gordhandas Sunderdas Medical College and King Edward Memorial Hospital, Mumbai, IND 5 Forensic Anthropology, School of Forensic Sciences, National Forensic Sciences University, Tripura, IND 3 Forensic Medicine and Toxicology, Shyam Shah Medical College, Rewa, IND 4 Forensic Medicine and Toxicology, All India Institute of Medical Sciences, Jodhpur, Jodhpur, IND 6 Forensic Medicine and Toxicology, Dr. Balasaheb Vikhe Patil Rural Medical College, Loni, IND |
AuthorAffiliation_xml | – name: 1 Forensic Medicine and Toxicology, Aundh Chest Hospital, Pune, IND – name: 2 Forensic Medicine and Toxicology, Seth Gordhandas Sunderdas Medical College and King Edward Memorial Hospital, Mumbai, IND – name: 4 Forensic Medicine and Toxicology, All India Institute of Medical Sciences, Jodhpur, Jodhpur, IND – name: 3 Forensic Medicine and Toxicology, Shyam Shah Medical College, Rewa, IND – name: 5 Forensic Anthropology, School of Forensic Sciences, National Forensic Sciences University, Tripura, IND – name: 6 Forensic Medicine and Toxicology, Dr. Balasaheb Vikhe Patil Rural Medical College, Loni, IND |
Author_xml | – sequence: 1 givenname: Abhijit surname: Hosmani fullname: Hosmani, Abhijit – sequence: 2 givenname: Harish surname: Pathak fullname: Pathak, Harish – sequence: 3 givenname: Harshwardhan surname: Khartade fullname: Khartade, Harshwardhan – sequence: 4 givenname: Devendra surname: Jadav fullname: Jadav, Devendra – sequence: 5 givenname: Rutwik surname: Shedge fullname: Shedge, Rutwik – sequence: 6 givenname: Mohan surname: Pawar fullname: Pawar, Mohan – sequence: 7 givenname: Vikas surname: Meshram fullname: Meshram, Vikas |
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Cites_doi | 10.1007/s00414-015-1192-4 10.1007/s00414-003-0404-5 10.1016/j.forsciint.2013.03.002 10.1016/j.forsciint.2009.05.023 10.1007/s00414-007-0209-z 10.1136/bjsm.2010.074948 10.1136/bjsm.2006.031021 10.1177/0025802420988223 10.1016/j.scijus.2016.06.012 10.1007/s00414-016-1456-7 10.1136/bjsm.2006.033431 10.1111/j.1469-7580.2009.01048.x 10.10000/IJLMH.112313 10.1007/s00414-014-1121-y |
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Copyright | Copyright © 2023, Hosmani et al. Copyright © 2023, Hosmani et al. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © 2023, Hosmani et al. 2023 Hosmani et al. |
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Keywords | forensic identification sportsperson age fraud anthropology bone age estimation |
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Snippet | Background Age estimation of an individual is an integral part of medicolegal work. Out of many scenarios for which age estimation is performed, competitive... BackgroundAge estimation of an individual is an integral part of medicolegal work. Out of many scenarios for which age estimation is performed, competitive... Background Age estimation of an individual is an integral part of medicolegal work. Out of many scenarios for which age estimation is performed, competitive... |
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Title | Age Estimation in Sportspersons From the Epiphyseal Fusion Around Wrist, Elbow, and Pelvic Joints |
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