Application of external ear morphometry in age prediction: a pilot study

Taura, Magaji Garba; Adamu, Lawan Hassan; Gudaji, A.; Modibbo, Musa Habibu

doi:10.18203/2320-6012.ijrms20150268

Cited by 8 publications

(12 citation statements)

References 14 publications

(20 reference statements)

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“…12 Magaji et al study revealed that there was a statistical significant correlation between ear length and ear width of both ears and stature. 13 Our study is in concordance with result of Magaji et al when we compare our study with those of others, we found that there was difference in the values of ear measurements and these could be due to many factors such as race, age, genetic variables, environmental factors and human error in measurement of both ears and stature calculation.…”

Section: Showing Ear Length Mean Standard Deviation (Sd) Correlasupporting

confidence: 93%

Length of External Ear: A Tool for Prediction of Height- Study in Western Maharashtra Population

Durgawale¹,

Jadhav²

2018

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Section: Showing Ear Length Mean Standard Deviation (Sd) Correlasupporting

confidence: 93%

Length of External Ear: A Tool for Prediction of Height- Study in Western Maharashtra Population

Durgawale¹,

Jadhav²

2018

jebmh

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“…There were no significant differences in ear parameters of right and left side ear similar to our study. Taura et al [18] reported that the correlation is higher with height in right ear width, while in our study ear length and lobular length and width were increased significantly with the age. In our study we also explained that increase in lobular length is not due to weight effects of earing but due to ageing process.…”

Section: Discussioncontrasting

confidence: 52%

Morphometric Study of Pinna in Relation to Age in Uttar Pradesh Population

Dixit¹,

Potdar²,

Dhakar³

2019

SSR-IIJLS

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Background: Morphometric dimensions of ear plays a very important role in plastic surgery and prosthetics. This study aimed to determine different morphometric parameters of both ear and to provide information regarding age related changes. Methods: A study was conducted on 167 subjects including both males and females. The ear was measured using vernier caliper with an accuracy of 0.001 and recorded in millimeters (mm) in a data sheet. The size of pinna and the lobule were measured on both right and left side and were correlated with age of the individual. Readings were statistically analyzed in order to determine the relationship between the size of the pinna and the age of the individual. Results: In our study of age 18-30 ear length was 6.15 cm, lobule length and width was 1.87 cm and 1.99 cm and in age 31-40 ear length was 6.32 mm, lobular length and width was 1.95 cm and 2.01 cm and in age 41-50 yrs ear length was 6.415 cm, lobular length and width was 1.98 cm and 2.06 cm. This shows that in our study ear length were increasing significantly with age and similarly Rt and Lt lobular length and Lt lobular width were also increasing significantly with the age. There was no significant difference between the size of the right and left pinna. Conclusion: The present study shows that the expansion of auricle with age was related to structural change in auricular cartilage. The ear morphometry also helps in predicting ear anomalies and to reproduce anatomically corrected ear during its reconstruction.

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“…The value of ear length and ear breadth is different in all studies that reveals that these parameters vary in different populations. 12 shows that there is significant correlation between the stature and ear parameters of different population (p<0.05).…”

Section: Resultsmentioning

confidence: 88%

Stature Estimation and Formulation of Regression Equation from Ear Anthropometry in Haryanvi Population

Monika Rathee,

Jaswinder Kaur,

Suresh Kanta Rathee

2021

Indian Journal of Forensic Medicine & Toxicology

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Background: Human beings are unique in number of physical characteristics like shape and form of an individual. These characteristics are influenced by a wide range of racial, ecological, psychological, geographical, gender and biological variations. Human external ear is often overlooked during anthropometric measurements. The structure of human ear is so much variable that even two ears are different in same individual and it also varies according to age, sex, race and ethnic group.Authentic anthropometric data of ear for a particular population is necessary for designing of ear products for occupational environments, to find out the age, sex and stature of an individual in that population. This data on ear measurements can also be helpful in forensic and medico-legal cases for personal identification of an individual. The main objective of the study is to find any relationship between ear parameters and stature and also to formulate regression equation for estimation of stature in Haryanvi adult Jaats. Methods:The present study was conducted on 300 healthy Haryanvi Jaats (150 females and 150 males) aged 20 to 60 years. Measurements of ear length, ear breadth and stature were taken on each subject. Conclusion:Ear length and ear breadth are not significantly correlated with stature (p>0.05) in both the sexes except ear breadth which is significantly correlated with stature in males (p<0.05).The present study concluded that stature cannot be estimated from ear length and ear breadth in Haryanvi population.

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Application of external ear morphometry in age prediction: a pilot study

Cited by 8 publications

References 14 publications

Length of External Ear: A Tool for Prediction of Height- Study in Western Maharashtra Population

Length of External Ear: A Tool for Prediction of Height- Study in Western Maharashtra Population

Morphometric Study of Pinna in Relation to Age in Uttar Pradesh Population

Stature Estimation and Formulation of Regression Equation from Ear Anthropometry in Haryanvi Population

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