Comparative evaluation and applicability of three different regression equation-based mixed dentition analysis in Northern Uttar Pradesh population

Aims: This study aims to examine the accuracy and comparative correlation of three regression equation-based mixed dentition analysis in children of Moradabad city, North Uttar Pradesh. Settings and Design: Tanaka-Johnston, Bernabe-Flores-Mir, and Ling-Wong regression equations were developed from a...

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Published inJournal of the Indian Society of Pedodontics and Preventive Dentistry Vol. 36; no. 1; pp. 26 - 32
Main Authors Bhatnagar, Akash, Chaudhary, Seema, Sinha, Ashish, Manuja, Naveen, Kaur, Harsimran, Chaitra, T
Format Journal Article
LanguageEnglish
Published India Wolters Kluwer India Pvt. Ltd 01.01.2018
Medknow Publications and Media Pvt. Ltd
Medknow Publications & Media Pvt. Ltd
Wolters Kluwer Medknow Publications
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Summary:Aims: This study aims to examine the accuracy and comparative correlation of three regression equation-based mixed dentition analysis in children of Moradabad city, North Uttar Pradesh. Settings and Design: Tanaka-Johnston, Bernabe-Flores-Mir, and Ling-Wong regression equations were developed from a sample of North European, Peru, and Southern Chinese children population, respectively. Hence, it becomes questionable when applied to children of Moradabad city situated in North Uttar Pradesh, India. Subjects and Methods: The study was conducted on a sample of 100 school going children, age range is 11-14 years with complete permanent teeth except third molars. The mesiodistal crown dimensions of all erupted incisors, canines, premolars, and molars were measured with digital calipers with a calibration accuracy of 0.01 mm. The actual tooth measurements were then compared with predicted values using Tanaka-Johnston, Bernabe-Flores-Mir, and Ling-Wong regression equations, respectively using paired t-test. Results: The mean difference between the actual and estimated values of canines and premolars using Tanaka-Johnston, Bernabe-Flores-Mir, and Ling-Wong were clinically and statistically significant (P< 0.001). Conclusions: Mesiodistal dimensions of male samples are larger than female samples. All the three regression equations are not accurately applicable to this population.
Bibliography:ObjectType-Article-1
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ISSN:0970-4388
1998-3905
DOI:10.4103/JISPPD.JISPPD_104_17