AGE ESTIMATION FROM MANDIBULAR SECOND MOLAR TOOH MINERALIZATION STAGES

Authors

  • Tehmina Marwat Oral Biology Department, Khyber Medical University-Institute of Dental Sciences Kohat.
  • Sana Naeem Oral Biology Department, Frontier Medical and Dental College, Abbottabad.
  • Arif Ullah Khan Community Dentistry Department, Khyber Medical University-Institute of Dental Sciences Kohat. https://orcid.org/0000-0003-0067-2643
  • Muhammad Sheraz Alam Oral Biology Department, Rehman College of Dentistry, Peshawar.
  • Aasim Masood Community Dentistry Department, Khyber Medical University-Institute of Dental Sciences Kohat.
  • Haseeb Ahmad Oral Biology Department, Abbottabad International Medical and Dental College, Abbottabad.

DOI:

https://doi.org/10.33279/jkcd.v13i04.457

Keywords:

Age estimation, Demirjian’s method, tooth mineralization stages, mandibular second molar

Abstract

Objectives: The objective of this study was to estimate the age from mandibular second molar  tooth mineralization stages and make a regression equation for our population.

Materials and Methods: This descriptive cross sectional study was conducted at Rehman college of dentistry on 150 samples from both genders, ages range 8-16 years, good quality panoramas (OPGs). OPG was used to determine the Demirjian’s stages of right mandibular second molar and age was asked from patients/parents. Correlation was determined between age and mineralization stages using Spearman rho test. Age estimation was done through linear regression by using age as dependent variable and tooth mineralization and gender as independent variables. The level of signifi cance was set at P≤0.05.

Results: The mean age of the study was 11.5±2.2 years. The males were 85(56.3%) and female  were 65(43.7%). The correlation between age and tooth mineralization was highly statistically significant (r=0.725, P<0.001). In only 48.5% cases the model signifi cantly (P<0.001)  estimated the age from Demirjian's stage. The regression equation between age as a dependent variable (Y) and independent variables tooth mineralization stages (X1) and gender (X2) was Y=7.73+1.198X1 -0.147X2 .

Conclusion: From our findings we can conclude that the correlation between age and tooth mineralization was highly statistically significant. The mandibular second molar can be used in  age estimation but its predictive value is low (48.5%).

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Published

2023-12-31

How to Cite

Tehmina Marwat, Sana Naeem, Arif Ullah Khan, Muhammad Sheraz Alam, Aasim Masood, & Haseeb Ahmad. (2023). AGE ESTIMATION FROM MANDIBULAR SECOND MOLAR TOOH MINERALIZATION STAGES. JOURNAL OF KHYBER COLLEGE OF DENTISTRY, 13(04), 46–50. https://doi.org/10.33279/jkcd.v13i04.457