Volume : IX, Issue : IV, April - 2020

APPLICABILITY OF TANAKA-JOHNSTON MIXED DENTITION ANALYSIS IN NORTH INDIAN POPULATION OF 13-16 YEARS OLD.

Dr Ankita Sundan, Dr Anjum Zia, Dr Kirti Rathee, Dr Sanjay Chachra, Dr Divya Vyas, Dr Diksha Sharma

Abstract :

Introduction: Mixed dentition analysis in children predicts whether any dental intervention is required or not during mixed dentition .One of the most commonly used prediction method is Tanaka and Johnston, which are based on data from a sample of Northern European descent children. The accuracy of this method when applied to a different ethnic population is questionable specially in Indian scenario. Aim: To evaluate the applicability of Tanaka–Johnston mixed dentition analysis in the North Indian population and to formulate new regression equations, if required. Method: 1100 school children aged 13–16 years were randomly selected from different schools of North India. Study models were made and mesiodistal dimensions of the permanent canine and premolars were measured comparisons were done between the actual and predicted values by Tanaka – Johnston method. Results: Tanaka–Johnston mixed dentition equation overestimated the mesiodistal width of unerupted canines and premolars. Significant differences between the actual measurements and the predicted measurements derived by the Tanaka and Johnston prediction method. New linear regression equations were derived for both the genders for tooth size prediction in North Indian population. Conclusion: Tanaka–Johnston method was not a reliable method hence, a new regression equations were formulated to assess the space availability in North Indian population of age group 13–16 years.

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Article: Download PDF    DOI : 10.36106/ijsr  

Cite This Article:

APPLICABILITY OF TANAKA-JOHNSTON MIXED DENTITION ANALYSIS IN NORTH INDIAN POPULATION OF 13-16 YEARS OLD., Dr Ankita Sundan, Dr Anjum Zia, Dr Kirti Rathee, Dr Sanjay Chachra, Dr Divya Vyas, Dr Diksha Sharma INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-9 | Issue-4 | April-2020


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